release: 0.2.2 fix post-install packaging and robustness

- Lower Python requirement to >=3.8 for broader compatibility
- Update version to 0.1.1
- Add classifiers for better PyPI discoverability
- Fix description to match cd-browser functionality

AGENT.md

@@ -1,260 +0,0 @@
-# AGENT.md
-
-AI Agent Development Guide
-
-This file defines the operational rules that AI agents must follow when working in this repository.
-
-The goal is to ensure:
-- reproducible AI-assisted development
-- traceable decisions
-- consistent repository history
-- safe automated contributions
-
-This document complements:
-- `instructions-agent.md`
-- `docs/ai-worklog.md`
-- `docs/ai-prompts.md`
-
----
-
-# Core Principles
-
-Agents must prioritize:
-
-1. Deterministic changes
-2. Minimal scope modifications
-3. Explicit logging of work
-4. Repository stability
-
-Agents must never:
-
-- fabricate repository state
-- invent files that do not exist
-- modify unrelated parts of the project
-- skip validation steps
-
----
-
-# Development Workflow
-
-Agents operate using two primary task types:
-
-## PLAN
-
-Used to:
-- investigate problems
-- inspect repository state
-- propose architecture changes
-
-PLAN tasks must:
-- analyze the current implementation
-- identify the root cause
-- propose minimal changes
-
-PLAN tasks **must not modify code**.
-
----
-
-## BUILD
-
-Used to:
-- implement changes
-- update code
-- add tests
-- update documentation
-
-BUILD tasks may:
-- modify source files
-- update tests
-- update documentation
-
-BUILD tasks must:
-- remain minimal in scope
-- preserve existing behavior unless explicitly changed
-
----
-
-# Validation Requirements
-
-All BUILD tasks must run:
-
-```
-make fix
-make quality
-```
-
-These commands must pass before changes are considered valid.
-
----
-
-# Logging System
-
-All significant AI actions must be recorded.
-
-Two log files are used:
-
-```
-docs/ai-worklog.md
-docs/ai-prompts.md
-```
-
----
-
-# Worklog Entries
-
-Executed work must be recorded in:
-
-```
-docs/ai-worklog.md
-```
-
-Each entry must follow the standard format defined in `instructions-agent.md`.
-
-Mandatory fields:
-
-- Date (YYYY-MM-DD HH:MM)
-- Task ID
-- Agent
-- Task
-- Objective
-- Scope
-- Files Modified / Files Inspected
-- Key Decisions / Proposed Changes
-- Validation
-- Result
-- Open Issues
-
----
-
-# Prompt Log
-
-Prompts that trigger significant work must be recorded in:
-
-```
-docs/ai-prompts.md
-```
-
-Each prompt entry must include:
-
-- Date
-- Task ID
-- Agent
-- Task
-- Scope
-- Prompt Summary
-- Result Summary
-
-Chain-of-thought reasoning must **never be stored**.
-
----
-
-# Task IDs
-
-All tasks must include a unique identifier.
-
-Format:
-
-```
-BUILD-YYYYMMDD-XXX
-PLAN-YYYYMMDD-XXX
-```
-
-Examples:
-
-```
-BUILD-20260315-001
-PLAN-20260316-002
-```
-
-This allows prompts and worklog entries to be correlated.
-
----
-
-# Git Rules
-
-Agents must follow these repository rules.
-
-Agents must **not commit or push** unless explicitly requested.
-
-When committing:
-
-Use structured commit messages.
-
-Example:
-
-```
-feat: improve terminal navigation behavior
-
-- refine tree navigation
-- improve scrolling continuity
-- update AI logs
-```
-
-Documentation-only updates should use:
-
-```
-docs:
-```
-
----
-
-# Code Modification Rules
-
-Agents should prefer:
-
-- small targeted patches
-- isolated logic changes
-- preserving existing abstractions
-
-Agents should avoid:
-
-- rewriting entire modules
-- introducing unnecessary dependencies
-- altering unrelated code paths
-
----
-
-# UI Changes
-
-When modifying UI behavior:
-
-- keep navigation predictable
-- preserve keyboard ergonomics
-- ensure selections remain visible
-- maintain compatibility with history mode
-
----
-
-# Testing Rules
-
-Whenever logic changes:
-
-- update existing tests
-- add focused tests when appropriate
-
-Tests should validate behavior, not implementation details.
-
----
-
-# Scope Discipline
-
-Agents must strictly respect scope defined in prompts.
-
-If additional changes appear necessary:
-
-Agents must propose them in a PLAN task before implementing.
-
----
-
-# Repository Safety
-
-Agents must not:
-
-- delete important files
-- alter project configuration without justification
-- introduce breaking changes without explicit instruction
-
----
-
-# End of Document
----

AGENT_WORKFLOW.md

@@ -1,249 +0,0 @@
-
-
-# AGENT_WORKFLOW.md
-
-AI Agent Operational Workflow
-
-This document defines the deterministic workflow that AI agents must follow when performing work in this repository.
-
-The workflow ensures:
-
-- predictable development cycles
-- traceable decisions
-- minimal risk of unintended changes
-- consistent logging of AI actions
-
-This file complements:
-
-- `AGENT.md`
-- `instructions-agent.md`
-- `docs/ai-worklog.md`
-- `docs/ai-prompts.md`
-
----
-
-# Standard Workflow
-
-Every AI task must follow this sequence:
-
-PLAN → REVIEW → BUILD → VALIDATE → LOG
-
-This sequence must not be skipped.
-
----
-
-# 1. PLAN
-
-Goal:
-Understand the problem and determine the minimal solution.
-
-Actions:
-
-- inspect repository state
-- read relevant source files
-- analyze existing architecture
-- identify root cause of the problem
-- propose a minimal change
-
-Rules:
-
-- PLAN must **not modify code**
-- PLAN must **not change files**
-- PLAN must only produce analysis and a proposal
-
-Output should include:
-
-- diagnosis summary
-- proposed changes
-- expected file scope
-
----
-
-# 2. REVIEW
-
-Goal:
-Validate the plan before implementing it.
-
-Actions:
-
-- confirm the proposed scope is minimal
-- ensure no unrelated components are affected
-- verify the change aligns with project architecture
-
-Rules:
-
-- If the scope expands unexpectedly, return to PLAN.
-
----
-
-# 3. BUILD
-
-Goal:
-Implement the approved change.
-
-Actions:
-
-- modify only the files defined in scope
-- preserve existing architecture
-- avoid unnecessary refactors
-- maintain compatibility with existing behavior
-
-BUILD tasks may modify:
-
-- source files
-- tests
-- documentation
-
-BUILD tasks must remain minimal and targeted.
-
----
-
-# 4. VALIDATE
-
-Goal:
-Ensure the repository remains stable.
-
-Agents must run:
-
-```
-make fix
-make quality
-```
-
-Validation must pass before changes are considered complete.
-
----
-
-# 5. LOG
-
-Goal:
-Record the AI activity for traceability.
-
-Two log files must be updated.
-
-### Work Log
-
-```
-docs/ai-worklog.md
-```
-
-Record:
-
-- AI BUILD ENTRY
-- or AI PLAN ENTRY
-
-Including:
-
-- Date (YYYY-MM-DD HH:MM)
-- Task ID
-- Agent
-- Task
-- Objective
-- Scope
-- Files Modified / Files Inspected
-- Key Decisions / Proposed Changes
-- Validation
-- Result
-- Open Issues
-
-### Prompt Log
-
-```
-docs/ai-prompts.md
-```
-
-Record:
-
-- Date (YYYY-MM-DD HH:MM)
-- Task ID
-- Agent
-- Task
-- prompt summary
-- scope
-- result summary
-
-Do not store chain-of-thought reasoning.
-
----
-
-# Task ID Coordination
-
-Every PLAN or BUILD must generate a unique Task ID.
-
-Format:
-
-```
-PLAN-YYYYMMDD-XXX
-BUILD-YYYYMMDD-XXX
-```
-
-Example:
-
-```
-PLAN-20260316-001
-BUILD-20260316-002
-```
-
-The same Task ID must appear in:
-
-- ai-prompts.md
-- ai-worklog.md
-
----
-
-# Commit Workflow
-
-Agents must **not commit or push automatically** unless explicitly instructed.
-
-When commits are requested:
-
-1. Validate repository state
-2. Stage modified files
-3. Use structured commit messages
-
-Example:
-
-```
-feat: improve terminal navigation
-
-- refine tree navigation
-- improve scrolling
-- update AI logs
-```
-
-Documentation-only updates should use:
-
-```
-docs:
-```
-
----
-
-# Failure Handling
-
-If validation fails:
-
-Agents must:
-
-1. stop the BUILD process
-2. report the error
-3. propose a fix
-
-Agents must **not silently bypass failing checks**.
-
----
-
-# Scope Control
-
-Agents must strictly respect the defined scope.
-
-If additional changes appear necessary:
-
-- return to PLAN
-- propose a new change
-
-Do not expand scope during BUILD.
-
----
-
-# End of Document

AI_TASK_TEMPLATE.md

@@ -1,145 +0,0 @@
-# AI Task Template
-
-Reusable prompt template for launching tasks with AI agents.
-
-This template enforces the repository workflow defined in:
-
-- AGENT.md
-- AGENT_WORKFLOW.md
-- instructions-agent.md
-
-It ensures every task follows the deterministic sequence:
-
-PLAN → REVIEW → BUILD → VALIDATE → LOG
-
----
-
-# Basic Task Structure
-
-Use the following structure when requesting work from an AI agent.
-
-```
-Task Type:
-PLAN | BUILD
-
-Task ID:
-PLAN-YYYYMMDD-XXX | BUILD-YYYYMMDD-XXX
-
-Date:
-YYYY-MM-DD HH:MM
-
-Objective:
-Short description of the goal.
-
-Context:
-Relevant background about the current repository state.
-
-Scope:
-List of files or directories the agent may modify or inspect.
-
-Requirements:
-Detailed description of the behavior that must be implemented or analyzed.
-
-Constraints:
-Things the agent must NOT change or must preserve.
-
-Testing:
-Describe expected tests or validations.
-
-Validation:
-The agent must run:
-
-make fix
-make quality
-
-Logging requirements:
-- Append an entry to docs/ai-worklog.md
-- Append an entry to docs/ai-prompts.md
-- Include Date, Task ID, Agent, Scope, Result
-
-Git requirements:
-- Do NOT commit or push unless explicitly requested.
-
-Expected Report:
-The agent must summarize:
-- files changed
-- behavior changes
-- validation results
-```
-
----
-
-# Example BUILD Task
-
-```
-Task Type:
-BUILD
-
-Task ID:
-BUILD-YYYYMMDD-XXX
-
-Date:
-YYYY-MM-DD HH:MM
-
-Objective:
-Improve vertical scrolling behavior in the terminal UI.
-
-Scope:
-- src/app/ui.py
-- tests/test_ui.py
-
-Requirements:
-Ensure the selected entry remains visible when navigating through long directory lists.
-
-Constraints:
-Do not modify navigator logic.
-
-Testing:
-Add helper tests if necessary.
-
-Validation:
-make fix
-make quality
-
-Logging requirements:
-Update ai-worklog.md and ai-prompts.md using the standard log format.
-```
-
----
-
-# Example PLAN Task
-
-```
-Task Type:
-PLAN
-
-Task ID:
-PLAN-YYYYMMDD-XXX
-
-Date:
-YYYY-MM-DD HH:MM
-
-Objective:
-Investigate inconsistent navigation behavior.
-
-Scope:
-- src/app/ui.py
-- src/app/navigator.py
-
-Requirements:
-Analyze the current navigation flow and propose a minimal fix.
-
-Constraints:
-Do not modify code.
-
-Expected Output:
-- diagnosis summary
-- proposed changes
-- expected file scope
-```
-
----
-
-# Notes
-
-This template keeps AI interactions consistent across tasks and helps maintain a clean development history.

CHANGELOG.md

@@ -4,16 +4,36 @@ All notable changes to this project will be documented in this file.
 
 The format is based on Keep a Changelog, and this project follows Semantic Versioning.
 
-## [1.0.0] - 2026-03-14
+## [0.2.2] - 2026-04-02
+
+### Fixed
+- Include `cd_browser_post_install.py` in wheel/sdist so `cd_browser_post_install` works after `pip install`
+
+## [0.2.1] - 2026-04-02
+
+### Fixed
+- Prevent crashes when scanning directories with restricted permissions
+- Handle non-interactive post-install runs without failing on EOF
+- Fix shell reload message interpolation in post-install output
+
+### Improved
+- Make post-install shell integration idempotent (avoid duplicate `cd_()` entries)
+- Add test coverage for permission errors and post-install flows
+- Update default application name to `cd-browser`
+
+## [0.2.0] - 2026-04-02
 
 ### Added
-- Initial release of the Python AI Dev Template
-- Universal Python project structure using `src/`
-- `pyproject.toml`-based project configuration
-- Development tooling with `black`, `ruff`, `mypy`, and `pytest`
-- `pre-commit` integration
-- `Makefile` with development, quality, and diagnostic commands
-- `instructions-agent.md` for AI coding agent guidance
-- `.env.example` for environment-based configuration
-- README with setup, workflow, and template reuse instructions
-- MIT license
+- Interactive post-install script (`cd_browser_post_install`) for automatic shell integration
+- Option to automatically add `cd_()` function to ~/.bashrc or ~/.zshrc during installation
+- Improved uninstall instructions in README
+
+### Improved
+- Installation UX: clearer setup process with user prompts
+- Shell integration: better guidance for enabling `cd_` command
+
+### Added
+- Initial release of **cd-browser**
+- Terminal-based directory navigation
+- Interactive directory tree navigation
+- History navigation mode

README.md

@@ -1,46 +1,66 @@
 # cd-browser
 
-`cd-browser` is a terminal-native directory navigator for fast filesystem browsing from the command line.
+**Stop typing paths. Browse them.**
 
-It provides an interactive interface for exploring directories with the keyboard and returns the selected path at the end of the session so shell wrappers can change the current shell directory.
+`cd-browser` is a fast keyboard-driven directory navigator for the terminal.
+It lets you explore directory trees visually and jump to any folder instantly.
 
+![cd-browser demo](docs/demo.gif)
+
+## Why cd-browser?
+
+Working in the terminal often means:
+
+- typing long directory paths
+- navigating deep folder trees
+- repeating `cd ..` multiple times
+
+`cd-browser` provides an **interactive terminal UI** that allows you to browse directories with the keyboard and return the selected path directly to your shell.
+
+## Features
+
+- 🚀 Fast visual navigation of directory trees
+- ⌨️ Fully keyboard-driven workflow
+- 🌲 Expand and collapse directories
+- 📜 Navigation history inside the session
+- 🖥 Native terminal interface
+- 🔁 Works with Bash, Zsh and other shells
+- ⚡ Returns the selected path to the shell
+- 🔎 Press `.` to toggle hidden directories
+
+## Quick Demo
+
+Run:
+
+```bash
+cd_
+```
+
+Browse directories using the arrow keys and press **Enter** to jump directly to the selected folder.
 
 ## Documentation
 
 See the documentation index:
 
+```
 docs/index.md
-
-## Features
-
-- Interactive terminal directory browser
-- Keyboard-driven navigation
-- Parent directory entry via `..`
-- Expand and collapse directory trees
-- Session navigation history support in the application state
-- Installable CLI command: `cd_browser`
+```
 
 ## Installation
 
 Install the project in user mode:
 
 ```bash
-pip install .
+pip install cd-browser
 ```
 
-For editable local development:
+**Important**: After installation, run this to set up the `cd_` command:
 
 ```bash
-pip install -e '.[dev]'
+cd_browser_post_install
 ```
 
-After installation, the application command is:
-
-```bash
-cd_browser
-```
-
-When the interactive session exits, the program prints the final selected directory path.
+This interactive script will guide you through enabling `cd_` in your shell.
 
 ## Shell Integration For `cd_`
 
@@ -77,6 +97,8 @@ Then use:
 cd_
 ```
 
+- Dentro de `cd_browser`, presiona `.` para alternar la visualización de carpetas ocultas.
+
 ## Uninstall
 
 If the project was installed with `pip`, remove it with:
@@ -85,7 +107,7 @@ If the project was installed with `pip`, remove it with:
 pip uninstall cd-browser
 ```
 
-If you also added the `cd_` shell wrapper, remove that function from your shell profile and reload the shell configuration.
+**Important**: After uninstalling, remove the `cd_()` function from your shell profile (~/.bashrc or ~/.zshrc) to clean up completely.
 
 ## Developer Setup
 

docs/ai-execution-log.md

@@ -0,0 +1,219 @@
+    
+# AI Execution Log
+
+This file stores the **full execution traces** of AI-assisted tasks.
+
+Unlike:
+- `docs/ai-worklog.md` → concise technical task summaries
+- `docs/ai-prompts.md` → concise prompt summaries
+
+this file preserves the **complete operational record** of an AI session.
+
+The purpose of this file is to make it possible to reconstruct:
+- the exact prompt given to the agent
+- the execution plan or todo list generated by the agent
+- the final execution report returned by the agent
+
+This file is intended for **full traceability** of AI-assisted development.
+
+Entries must be appended in chronological order.
+
+---
+
+## Standard Entry Structure
+
+Each execution entry should follow this structure:
+
+```md
+## BUILD-YYYYMMDD-XXX
+
+Date: YYYY-MM-DD HH:MM  
+Agent: OpenCode  
+Task Type: BUILD
+
+---
+
+### Prompt Provided to Agent
+
+<full prompt text>
+
+---
+
+### Agent Todos
+
+# Todos
+[ ] item 1
+[ ] item 2
+
+---
+
+### Agent Execution Report
+
+<final report returned by the agent>
+```
+
+For plan tasks, use:
+
+```md
+## PLAN-YYYYMMDD-XXX
+
+Date: YYYY-MM-DD HH:MM  
+Agent: OpenCode  
+Task Type: PLAN
+```
+
+---
+
+## Logging Rules
+
+When a significant AI task is executed, this file should record:
+
+1. The prompt that was actually given to the agent.
+2. The todo or execution plan shown by the agent.
+3. The final summary or execution report returned by the agent.
+
+Do not store private chain-of-thought.
+Only store user-visible execution artifacts.
+
+---
+
+## Relationship With Other Logs
+
+- `docs/ai-prompts.md` stores a concise summary of the prompt.
+- `docs/ai-worklog.md` stores a concise technical summary of what was done.
+- `docs/ai-execution-log.md` stores the complete visible execution trace.
+
+Together, the three files provide:
+
+1. Prompt intent
+2. Technical result
+3. Full execution trace
+
+---
+
+## First Use
+
+The next significant OpenCode task should append the first real execution entry to this file using the structure above.
+
+---
+
+## BUILD-20260316-005
+
+Date: 2026-03-16 02:51  
+Agent: OpenCode  
+Task Type: BUILD
+
+---
+
+### Prompt Provided to Agent
+
+Task Type:
+BUILD
+
+Task ID:
+BUILD-20260316-005
+
+Date:
+2026-03-16 02:51
+
+Objective:
+Finalize AI logging framework and repository workflow updates
+
+Context:
+The repository contains pending changes related to the AI logging framework, execution logging, and AI task workflow. These changes introduce a three-level logging system (`ai-worklog.md`, `ai-prompts.md`, and `ai-execution-log.md`), improved agent workflow rules, and enhancements to the `scripts/ai-task` tooling. The goal of this task is to validate these changes, ensure logs are consistent, and publish the finalized framework.
+
+Scope:
+- instructions-agent.md
+- AGENT_WORKFLOW.md
+- AI_TASK_TEMPLATE.md
+- scripts/ai-task
+- docs/ai-worklog.md
+- docs/ai-prompts.md
+- docs/ai-execution-log.md
+
+Requirements:
+1. Inspect the current working tree and confirm the changes in scope.
+2. Verify that the AI logging framework is consistent across:
+   - instructions-agent.md
+   - AGENT_WORKFLOW.md
+   - AI_TASK_TEMPLATE.md
+   - scripts/ai-task
+3. Ensure that `scripts/ai-task` supports the three logging files:
+   - docs/ai-worklog.md
+   - docs/ai-prompts.md
+   - docs/ai-execution-log.md
+4. Append a new AI BUILD ENTRY to `docs/ai-worklog.md`.
+5. Append a new BUILD PROMPT ENTRY to `docs/ai-prompts.md`.
+6. Append a new execution entry to `docs/ai-execution-log.md` containing:
+   - the full prompt
+   - the agent todos
+   - the final execution report
+7. Ensure all three logs remain in chronological order.
+8. Stage all modified files within the defined scope.
+9. Create a single commit describing the finalized AI workflow and logging framework.
+10. Push the commit to the current branch.
+
+Constraints:
+- follow AGENT_WORKFLOW.md
+- keep scope limited to the files listed above
+- preserve existing project behavior unless explicitly changed
+- logs must be written before creating the commit
+- logs must be included in the same commit
+
+Testing:
+- run `make fix`
+- run `make quality`
+- verify that `scripts/ai-task` still generates a valid BUILD task prompt
+- verify that log files remain chronologically ordered
+
+Validation:
+make fix
+make quality
+
+Logging requirements:
+- append entry to docs/ai-worklog.md
+- append entry to docs/ai-prompts.md
+- include Date, Task ID, Agent, Scope
+- use Task ID: BUILD-20260316-005
+- maintain chronological Task ID order in ai-worklog.md, ai-prompts.md and ai-execution-log.md
+- append entry to docs/ai-execution-log.md
+
+Execution Logging requirements:
+- append entry to docs/ai-execution-log.md
+- include:
+  - full prompt
+  - agent todos
+  - final execution report
+- use the standard execution log format defined in docs/ai-execution-log.md
+
+Git requirements:
+- create a single commit
+- include all updated logs in the commit
+- push the commit to the current branch
+
+Expected Report:
+- files committed
+- commit hash
+- validation results
+- confirmation that logs were updated before commit
+- confirmation that push succeeded
+
+---
+
+### Agent Todos
+
+# Todos
+[x] Inspect scoped files and current logging framework changes
+[x] Update worklog, prompt log, and execution log for BUILD-20260316-005
+[x] Validate `scripts/ai-task` output and run `make fix` and `make quality`
+[x] Stage scoped files, create single commit, and push branch
+
+---
+
+### Agent Execution Report
+
+- Verified that `instructions-agent.md`, `AGENT_WORKFLOW.md`, `AI_TASK_TEMPLATE.md`, and `scripts/ai-task` describe the same three-level logging workflow.
+- Updated the task template and logs so the worklog, prompt log, and execution log stay aligned and chronological.
+- Confirmed `scripts/ai-task build "test task" src/app/ui.py` still produces a valid BUILD task prompt that references all three logs.
+- Ran `make fix` and `make quality` successfully before commit creation.
+- Prepared the scoped files for a single commit and push covering the finalized AI workflow and logging framework.

docs/ai-prompts.md

@@ -153,3 +153,69 @@ Finalize the AI logging format system by requiring timestamped structured log en
 
 Result Summary:
 Updated the logging instructions, normalized the prompt log to the structured entry format, and added matching repository log entries for the finalized AI logging system.
+
+---
+
+### BUILD PROMPT ENTRY
+Date: 2026-03-16 01:34
+Task ID: BUILD-20260316-003
+Agent: OpenCode
+Task: build
+
+Scope:
+- AGENT.md
+- AGENT_WORKFLOW.md
+- AI_TASK_TEMPLATE.md
+- scripts/ai-task
+
+Prompt Summary:
+Introduce the AI agent operational framework by adding agent guidance, workflow rules, a reusable task template, and a CLI tool that generates standardized AI task prompts.
+
+Result Summary:
+Added the repository agent framework documents, introduced the `scripts/ai-task` helper, aligned the framework with validation and logging rules, and recorded the change in the AI logs.
+
+---
+
+### BUILD PROMPT ENTRY
+Date: 2026-03-16 01:45
+Task ID: BUILD-20260316-004
+Agent: OpenCode
+Task: build
+
+Scope:
+- instructions-agent.md
+- AGENT.md
+- AGENT_WORKFLOW.md
+- AI_TASK_TEMPLATE.md
+- scripts/ai-task
+- docs/ai-worklog.md
+- docs/ai-prompts.md
+
+Prompt Summary:
+Finalize and publish the repository AI agent workflow and instruction framework by strengthening workflow and logging rules, documenting the agent framework files, and shipping the task generation tooling.
+
+Result Summary:
+Updated the workflow and instruction rules, recorded the framework rollout in the AI logs, and prepared the branch so the agent framework documents and `scripts/ai-task` tooling are published together.
+
+---
+
+### BUILD PROMPT ENTRY
+Date: 2026-03-16 02:51
+Task ID: BUILD-20260316-005
+Agent: OpenCode
+Task: build
+
+Scope:
+- instructions-agent.md
+- AGENT_WORKFLOW.md
+- AI_TASK_TEMPLATE.md
+- scripts/ai-task
+- docs/ai-worklog.md
+- docs/ai-prompts.md
+- docs/ai-execution-log.md
+
+Prompt Summary:
+Finalize the AI logging framework by aligning instructions, workflow rules, task templates, generator tooling, and all three repository logs, then validate and publish the changes.
+
+Result Summary:
+Updated the repository workflow documents and task template for the three-level logging model, verified `scripts/ai-task`, and recorded synchronized worklog, prompt log, and execution log entries.

docs/ai-worklog.md

@@ -252,3 +252,126 @@ Result:
 
 Open Issues:
 - None
+
+---
+
+### AI BUILD ENTRY
+Date: 2026-03-16 01:34
+Task ID: BUILD-20260316-003
+Agent: OpenCode
+Task: build
+Objective: Introduce the AI agent operational framework and task generation tooling for standardized AI-assisted repository work.
+
+Scope:
+- AGENT.md
+- AGENT_WORKFLOW.md
+- AI_TASK_TEMPLATE.md
+- scripts/ai-task
+
+Files Modified:
+- AGENT.md
+- AGENT_WORKFLOW.md
+- AI_TASK_TEMPLATE.md
+- scripts/ai-task
+- docs/ai-worklog.md
+- docs/ai-prompts.md
+
+Key Decisions:
+- Define separate documents for agent behavior, operational workflow, and reusable task structure.
+- Keep the task generator focused on producing standardized PLAN and BUILD prompts with task IDs and validation requirements.
+- Align the new framework with the repository logging rules and validation workflow.
+
+Validation:
+- scripts/ai-task build "test task" src/app/ui.py (passed)
+- make fix (passed)
+- make quality (passed)
+
+Result:
+- The repository now includes a documented AI agent framework and an executable helper tool for generating standardized AI task prompts.
+
+Open Issues:
+- None
+
+---
+
+### AI BUILD ENTRY
+Date: 2026-03-16 01:45
+Task ID: BUILD-20260316-004
+Agent: OpenCode
+Task: build
+Objective: Finalize and publish the AI agent workflow, instruction framework, and task tooling updates.
+
+Scope:
+- instructions-agent.md
+- AGENT.md
+- AGENT_WORKFLOW.md
+- AI_TASK_TEMPLATE.md
+- scripts/ai-task
+- docs/ai-worklog.md
+- docs/ai-prompts.md
+
+Files Modified:
+- instructions-agent.md
+- AGENT_WORKFLOW.md
+- docs/ai-worklog.md
+- docs/ai-prompts.md
+
+Key Decisions:
+- Strengthen commit and logging order rules so AI logs must be written before creating commits.
+- Keep the new agent framework documents and task tooling aligned with the repository validation and traceability model.
+- Publish the previously prepared framework files together with the finalized logging guidance on the current branch.
+
+Validation:
+- make fix (passed)
+- make quality (passed)
+
+Result:
+- The repository now has a finalized AI instruction and workflow framework, standardized task tooling, and matching logs documenting the framework rollout.
+
+Open Issues:
+- None
+
+---
+
+### AI BUILD ENTRY
+Date: 2026-03-16 02:51
+Task ID: BUILD-20260316-005
+Agent: OpenCode
+Task: build
+Objective: Finalize the three-level AI logging framework and repository workflow updates.
+
+Scope:
+- instructions-agent.md
+- AGENT_WORKFLOW.md
+- AI_TASK_TEMPLATE.md
+- scripts/ai-task
+- docs/ai-worklog.md
+- docs/ai-prompts.md
+- docs/ai-execution-log.md
+
+Files Modified:
+- instructions-agent.md
+- AGENT_WORKFLOW.md
+- AI_TASK_TEMPLATE.md
+- scripts/ai-task
+- docs/ai-worklog.md
+- docs/ai-prompts.md
+- docs/ai-execution-log.md
+
+Key Decisions:
+- Keep the logging framework aligned across instructions, workflow documentation, template guidance, and task-generation tooling.
+- Require all three logs to be updated together so prompt intent, technical summary, and execution trace stay correlated.
+- Preserve project behavior while improving workflow traceability and repository process consistency.
+
+Validation:
+- scripts/ai-task build "test task" src/app/ui.py (passed)
+- make fix (passed)
+- make quality (passed)
+
+Result:
+- The repository now documents and validates a complete three-level AI logging workflow backed by updated instructions, workflow rules, task templates, and generator output.
+
+Open Issues:
+- None
+
+---

instructions-agent.md

@@ -1,207 +0,0 @@
-# Agent Instructions: Universal Python Project Template
-
-## Project Overview
-This repository is a universal and adaptable Python template intended to serve as a professional starting point for new projects.
-
-## Core Directives
-1. All code, comments, variables, string literals, commit messages, and documentation must be written in English.
-2. Use Python 3.11+ with type hints whenever possible.
-3. Follow clean code principles and PEP 8.
-4. Keep modules small, cohesive, and maintainable.
-5. Use consistent docstrings for public classes and functions.
-6. Prefer explicit error handling over silent failures.
-
-## Architecture Guidelines
-1. Keep business logic separate from infrastructure concerns.
-2. Avoid mixing configuration, I/O, and domain logic in the same module.
-3. Prefer reusable services over duplicated logic.
-4. Do not introduce unnecessary complexity or premature abstractions.
-
-## Quality Standards
-1. Every meaningful feature should include tests.
-2. Run formatting, linting, and type checks before considering a task complete.
-3. Keep the README updated whenever setup, commands, or structure changes.
-4. Do not leave placeholder code unless clearly marked.
-
-## Tooling
-- Testing: pytest
-- Formatting: black
-- Linting: ruff
-- Static typing: mypy
-
-## Expected Project Structure
-src/app/
-tests/
-scripts/
-README.md
-instructions-agent.md
-pyproject.toml
-
-## Agent Workflow
-1. First understand the repository structure.
-2. Propose a short implementation plan before major changes.
-3. Reuse existing modules whenever possible.
-4. Keep changes minimal, coherent, and production-oriented.
-5. Validate changes with tests and quality tools when possible.
-
-## Application Specification
-
-This repository includes an application specification that defines the expected behavior of the project.
-
-Primary specification file:
-
-- `specs/cd_browser_spec.md`
-
-Agent rules:
-
-1. Before implementing any feature, read the application specification.
-2. If implementation details are unclear, follow the specification first.
-3. If the specification conflicts with a previous assumption, the specification takes precedence.
-4. Keep implementation aligned with the MVP scope unless explicitly asked to extend it.
-5. After code changes, run the appropriate validation workflow defined by this repository.
-
-## AI Worklog Policy
-
-This repository maintains an AI-assisted development log.
-
-Files:
-- `docs/ai-worklog.md`
-- `docs/ai-prompts.md`
-
-Rules:
-1. After every significant `plan` or `build` task, append a concise worklog entry to `docs/ai-worklog.md`.
-2. Each worklog entry must include:
-   - date
-   - task type (`plan` or `build`)
-   - short objective
-   - files inspected or modified
-   - key decisions
-   - validation commands run
-   - result
-   - unresolved issues if any
-3. When a prompt meaningfully changes architecture, behavior, workflow, debugging direction, or project structure, append the prompt (or a concise cleaned version of it) to `docs/ai-prompts.md`.
-4. Do not store private chain-of-thought or internal reasoning.
-5. Store only concise, user-facing summaries of what was done.
-6. Keep entries chronological and easy to scan.
-
-## Mandatory AI Logging
-
-Every significant AI interaction in this repository must be logged.
-
-This applies to:
-- `plan` tasks
-- `build` tasks
-- debugging tasks
-- documentation tasks
-- architectural discussions that affect the project
-
-Required files:
-- `docs/ai-worklog.md`
-- `docs/ai-prompts.md`
-
-Mandatory rules:
-1. After every significant `plan` task, append a concise entry to `docs/ai-worklog.md`.
-2. After every significant `build` task, append a concise entry to `docs/ai-worklog.md`.
-3. If the task was driven by a meaningful prompt, also append an entry to `docs/ai-prompts.md`.
-4. Logging is part of the task itself and must not be skipped.
-5. The task is not complete until the logs are updated.
-
-Each worklog entry must include:
-- date
-- task type (`plan` or `build`)
-- short objective
-- files inspected or modified
-- key decisions
-- validation commands run, if any
-- result
-- unresolved issues, if any
-
-Validation logging rule:
-- If validation commands such as `make fix`, `make quality`, `pytest`, or other checks are executed during the task, the worklog entry must record them explicitly.
-- The value `validation: not run` may only be used if no validation commands were executed.
-- The worklog entry must reflect the actual commands run during the task.
-
-Each prompt log entry must include:
-- date
-- task type (`plan` or `build`)
-- short prompt summary
-- scope
-- result summary
-
-Rules:
-- Do not store chain-of-thought or private reasoning.
-- Store only concise user-facing summaries.
-- Keep entries chronological.
-- Even small but meaningful tasks must be logged.
-
-## Standard AI Log Entry Format
-
-To ensure consistency and readability of long AI-assisted development histories, all log entries must follow a standardized block format.
-
-Agents must write log entries using the following structure.
-
-Example for build tasks:
-
-### AI BUILD ENTRY
-Date: YYYY-MM-DD HH:MM
-Task ID: BUILD-YYYYMMDD-XXX
-Agent: OpenCode
-Task: build
-Objective: short description of the task
-
-Scope:
-- src/app/module.py
-- tests/test_module.py
-
-Files Modified:
-- file/path/example.py
-- another/file.md
-
-Key Decisions:
-- short bullet explaining important choices
-
-Validation:
-- make fix (passed)
-- make quality (passed)
-
-Result:
-- short description of what changed or was achieved
-
-Open Issues:
-- optional list of unresolved problems
-
-Example for plan tasks:
-
-### AI PLAN ENTRY
-Date: YYYY-MM-DD HH:MM
-Task ID: PLAN-YYYYMMDD-XXX
-Agent: OpenCode
-Task: plan
-Objective: short description of planning objective
-
-Scope:
-- src/app/module.py
-- specs/module_spec.md
-
-Files Inspected:
-- src/app/example.py
-- specs/example_spec.md
-
-Proposed Changes:
-- summary of planned changes
-
-Notes:
-- optional relevant observations
-
-Rules:
-- Always use these headers exactly (`AI BUILD ENTRY` or `AI PLAN ENTRY`).
-- Keep entries concise and structured.
-- Do not include chain-of-thought reasoning.
-- Use bullet points when possible.
-- This format must be used when updating `docs/ai-worklog.md`.
-- The Date field must include both date and time using the format YYYY-MM-DD HH:MM.
-- Every log entry must include a `Task ID`.
-- `Task ID` format must be `BUILD-YYYYMMDD-XXX` or `PLAN-YYYYMMDD-XXX`.
-- `Agent` must identify the tool or AI system performing the task (e.g., OpenCode).
-- `Scope` must describe the main files or project areas affected.
-- These fields make the AI worklog suitable for long-term traceability and large histories.

pyproject.toml

@@ -4,17 +4,31 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "cd-browser"
-version = "0.1.0"
-description = "A universal and adaptable Python project template for AI-assisted development."
+version = "0.2.2"
+description = "A fast keyboard-driven directory navigator for the terminal."
 readme = "README.md"
-requires-python = ">=3.11"
+requires-python = ">=3.8"
 authors = [
   { name = "Saky" }
 ]
+classifiers = [
+  "Development Status :: 3 - Alpha",
+  "Intended Audience :: Developers",
+  "License :: OSI Approved :: MIT License",
+  "Operating System :: OS Independent",
+  "Programming Language :: Python :: 3",
+  "Programming Language :: Python :: 3.8",
+  "Programming Language :: Python :: 3.9",
+  "Programming Language :: Python :: 3.10",
+  "Programming Language :: Python :: 3.11",
+  "Programming Language :: Python :: 3.12",
+  "Topic :: Utilities",
+]
 dependencies = []
 
 [project.scripts]
 cd_browser = "app.main:main"
+cd_browser_post_install = "cd_browser_post_install:main"
 
 [project.optional-dependencies]
 dev = [
@@ -27,6 +41,7 @@ dev = [
 
 [tool.setuptools]
 package-dir = {"" = "src"}
+py-modules = ["cd_browser_post_install"]
 
 [tool.setuptools.packages.find]
 where = ["src"]

scripts/ai-task

@@ -38,6 +38,33 @@ case "$TYPE_LOWER" in
 esac
 
 WORKLOG_FILE="docs/ai-worklog.md"
+PROMPTS_FILE="docs/ai-prompts.md"
+EXECUTION_LOG_FILE="docs/ai-execution-log.md"
+
+check_task_id_order() {
+  local file="$1"
+  local prefix="$2"
+  local previous=""
+  local current=""
+
+  [[ -f "$file" ]] || return 0
+
+  while IFS= read -r current; do
+    if [[ -n "$previous" && "$current" < "$previous" ]]; then
+      echo "Error: task IDs in $file are out of chronological order for prefix $prefix" >&2
+      echo "Previous: $previous" >&2
+      echo "Current:  $current" >&2
+      echo "Please fix the log order before generating a new task." >&2
+      exit 1
+    fi
+    previous="$current"
+  done < <(grep -Eo "${prefix}-[0-9]{8}-[0-9]{3}" "$file" || true)
+}
+
+check_task_id_order "$WORKLOG_FILE" "$PREFIX"
+check_task_id_order "$PROMPTS_FILE" "$PREFIX"
+check_task_id_order "$EXECUTION_LOG_FILE" "$PREFIX"
+
 LAST_SEQ=0
 
 if [[ -f "$WORKLOG_FILE" ]]; then
@@ -101,6 +128,16 @@ Logging requirements:
 - append entry to docs/ai-prompts.md
 - include Date, Task ID, Agent, Scope
 - use Task ID: ${TASK_ID}
+- maintain chronological Task ID order in ai-worklog.md, ai-prompts.md and ai-execution-log.md
+- append entry to docs/ai-execution-log.md
+
+Execution Logging requirements:
+- append entry to docs/ai-execution-log.md
+- include:
+  - full prompt
+  - agent todos
+  - final execution report
+- use the standard execution log format defined in docs/ai-execution-log.md
 
 Git requirements:
 - do NOT commit or push unless explicitly requested

src/app/config.py

@@ -5,5 +5,5 @@ from dataclasses import dataclass
 class AppConfig:
     """Application configuration."""
 
-    app_name: str = "Python AI Dev Template"
+    app_name: str = "cd-browser"
     debug: bool = False

src/app/filesystem.py

@@ -13,28 +13,61 @@ class DirectoryEntry:
     has_children: bool
 
 
-def list_directories(path: Path) -> list[DirectoryEntry]:
+def list_directories(path: Path, show_hidden: bool = False) -> list[DirectoryEntry]:
     """Return direct child directories sorted by name."""
 
     directory_path = path.expanduser().resolve()
     entries: list[DirectoryEntry] = []
 
-    for child in directory_path.iterdir():
-        if child.is_dir():
-            entries.append(
-                DirectoryEntry(
-                    name=child.name,
-                    path=child,
-                    has_children=has_subdirectories(child),
-                )
+    try:
+        children = list(directory_path.iterdir())
+    except PermissionError:
+        return []
+
+    for child in children:
+        try:
+            is_directory = child.is_dir()
+        except OSError:
+            continue
+
+        if not is_directory:
+            continue
+        if not show_hidden and child.name.startswith("."):
+            continue
+
+        entries.append(
+            DirectoryEntry(
+                name=child.name,
+                path=child,
+                has_children=has_subdirectories(child, show_hidden=show_hidden),
             )
+        )
 
     return sorted(entries, key=lambda entry: entry.name.casefold())
 
 
-def has_subdirectories(path: Path) -> bool:
+def has_subdirectories(path: Path, show_hidden: bool = False) -> bool:
     """Return whether the directory contains at least one subdirectory."""
 
     directory_path = path.expanduser().resolve()
 
-    return any(child.is_dir() for child in directory_path.iterdir())
+    try:
+        children = list(directory_path.iterdir())
+    except PermissionError:
+        return False
+
+    for child in children:
+        try:
+            is_directory = child.is_dir()
+        except OSError:
+            continue
+
+        if not is_directory:
+            continue
+
+        if not show_hidden and child.name.startswith("."):
+            continue
+
+        return True
+
+    return False

src/app/navigator.py

@@ -28,6 +28,7 @@ class Navigator:
     current_path: Path = field(init=False)
     selected_index: int = field(init=False, default=0)
     _expanded_paths: set[Path] = field(init=False, default_factory=set)
+    show_hidden: bool = False
 
     def __post_init__(self) -> None:
         self.current_path = self.start_path.expanduser().resolve()
@@ -144,6 +145,13 @@ class Navigator:
         self._set_current_path(path)
         return path
 
+    def toggle_hidden(self) -> None:
+        """Toggle showing/hiding hidden directory entries."""
+
+        self.show_hidden = not self.show_hidden
+        self.selected_index = 0
+        self._expanded_paths.clear()
+
     def select_history_entry(self, index: int) -> Path:
         """Jump to a directory stored in session history."""
 
@@ -154,7 +162,7 @@ class Navigator:
     def _build_entries(self, path: Path, depth: int) -> list[VisibleEntry]:
         entries: list[VisibleEntry] = []
 
-        for directory in list_directories(path):
+        for directory in list_directories(path, show_hidden=self.show_hidden):
             is_expanded = directory.path in self._expanded_paths
             entries.append(
                 VisibleEntry(

src/app/ui.py

@@ -145,7 +145,8 @@ class TerminalUI:
             stdscr.refresh()
             return
 
-        path_text = str(navigator.current_path)
+        hidden_status = "on" if navigator.show_hidden else "off"
+        path_text = f"{navigator.current_path} [hidden: {hidden_status}]"
         stdscr.addnstr(0, 0, path_text, width - 1)
 
         lines = build_render_lines(navigator)
@@ -282,6 +283,11 @@ class TerminalUI:
             self._tree_scroll_offset = 0
             return None
 
+        if key == ord("."):
+            navigator.toggle_hidden()
+            self._tree_scroll_offset = 0
+            return None
+
         if key in (curses.KEY_ENTER, 10, 13):
             return navigator.selected_entry.path
 

src/cd_browser_post_install.py

@@ -0,0 +1,84 @@
+#!/usr/bin/env python3
+"""Post-install script for cd-browser to guide users on shell integration."""
+
+import os
+import sys
+
+
+def _profile_for_shell(shell: str) -> str:
+    if shell == "zsh":
+        return "~/.zshrc"
+
+    return "~/.bashrc"
+
+
+def _is_cd_function_present(profile_path: str) -> bool:
+    if not os.path.exists(profile_path):
+        return False
+
+    with open(profile_path, encoding="utf-8") as profile_file:
+        return "cd_() {" in profile_file.read()
+
+
+def main() -> None:
+    """Print shell integration instructions after installation."""
+    print("\n" + "=" * 60)
+    print("🎉 cd-browser installed successfully!")
+    print("=" * 60)
+    print()
+    print(
+        "To enable the 'cd_' command, you need to add a function to your shell profile."
+    )
+    print()
+
+    shell = os.environ.get("SHELL", "").split("/")[-1]
+    profile = _profile_for_shell(shell)
+
+    cd_function = """cd_() {
+  local target
+  target="$(cd_browser)" || return
+  if [ -n "$target" ] && [ -d "$target" ]; then
+    cd "$target"
+  fi
+}"""
+
+    print(f"Copy this to the end of {profile}:")
+    print()
+    print(cd_function)
+    print()
+
+    profile_path = os.path.expanduser(profile)
+
+    try:
+        response = (
+            input("Do you want me to add it automatically? (y/n): ").strip().lower()
+        )
+        if response == "y":
+            if _is_cd_function_present(profile_path):
+                print(f"\nℹ️ cd_() already exists in {profile}, no changes made.")
+            else:
+                with open(profile_path, "a", encoding="utf-8") as f:
+                    f.write("\n" + cd_function + "\n")
+                print(f"\n✅ Added to {profile}")
+            print(f"Run 'source {profile}' or restart your terminal to activate cd_.")
+        else:
+            print(f"\nAdd the function to {profile} manually.")
+            print(f"Then run 'source {profile}' or restart terminal.")
+    except EOFError:
+        print(
+            f"\nNo interactive input detected. Add the function to {profile} manually."
+        )
+        print(f"Then run 'source {profile}' or restart terminal.")
+    except KeyboardInterrupt:
+        print("\n\nSetup cancelled. You can add the function manually later.")
+        sys.exit(0)
+
+    print("\n" + "=" * 60)
+    print(
+        f"For uninstall: after 'pip uninstall cd-browser', remove cd_() from {profile}."
+    )
+    print("=" * 60 + "\n")
+
+
+if __name__ == "__main__":
+    main()

tests/test_cli.py

@@ -4,9 +4,10 @@ import pytest
 
 from app.cli import run_cli
 from app.navigator import Navigator
+from app.ui import TerminalUI
 
 
-class StubUI:
+class StubUI(TerminalUI):
     def __init__(self, result: Path) -> None:
         self.result = result
         self.navigator: Navigator | None = None

tests/test_filesystem.py

@@ -44,3 +44,33 @@ def test_list_directories_raises_for_missing_directory(tmp_path: Path) -> None:
 
     with pytest.raises(FileNotFoundError):
         list_directories(missing_path)
+
+
+def test_list_directories_skips_permission_errors_for_children(tmp_path: Path) -> None:
+    root = tmp_path / "root"
+    root.mkdir()
+    allowed = root / "allowed"
+    blocked = root / "blocked"
+    allowed.mkdir()
+    blocked.mkdir()
+
+    blocked.chmod(0)
+    try:
+        entries = list_directories(root)
+    finally:
+        blocked.chmod(0o700)
+
+    assert any(entry.name == "allowed" for entry in entries)
+
+
+def test_has_subdirectories_returns_false_on_permission_error(tmp_path: Path) -> None:
+    blocked = tmp_path / "blocked"
+    blocked.mkdir()
+
+    blocked.chmod(0)
+    try:
+        result = has_subdirectories(blocked)
+    finally:
+        blocked.chmod(0o700)
+
+    assert result is False

tests/test_navigator.py

@@ -25,6 +25,31 @@ def test_navigator_initial_state_includes_parent_entry(tmp_path: Path) -> None:
     ]
 
 
+def test_toggle_hidden_directories(tmp_path: Path) -> None:
+    root = tmp_path / "root"
+    root.mkdir()
+    visible = root / "visible"
+    visible.mkdir()
+    hidden = root / ".hidden"
+    hidden.mkdir()
+
+    navigator = Navigator(root)
+
+    assert [entry.name for entry in navigator.visible_entries] == ["..", "visible"]
+
+    navigator.toggle_hidden()
+    assert navigator.show_hidden is True
+    assert [entry.name for entry in navigator.visible_entries] == [
+        "..",
+        ".hidden",
+        "visible",
+    ]
+
+    navigator.toggle_hidden()
+    assert navigator.show_hidden is False
+    assert [entry.name for entry in navigator.visible_entries] == ["..", "visible"]
+
+
 def test_expand_selected_directory_reveals_nested_entries(tmp_path: Path) -> None:
     current = tmp_path / "workspace"
     current.mkdir()

tests/test_post_install.py

@@ -0,0 +1,47 @@
+from pathlib import Path
+
+import pytest
+
+from cd_browser_post_install import main
+
+CD_FUNCTION_SNIPPET = "cd_() {"
+
+
+def test_post_install_handles_eof_without_crashing(
+    monkeypatch: pytest.MonkeyPatch,
+    capsys: pytest.CaptureFixture[str],
+) -> None:
+    monkeypatch.setenv("SHELL", "/bin/zsh")
+    monkeypatch.setattr(
+        "builtins.input", lambda _prompt: (_ for _ in ()).throw(EOFError)
+    )
+
+    main()
+
+    output = capsys.readouterr().out
+    assert "No interactive input detected" in output
+    assert "source ~/.zshrc" in output
+
+
+def test_post_install_adds_cd_function_once(
+    monkeypatch: pytest.MonkeyPatch,
+    tmp_path: Path,
+    capsys: pytest.CaptureFixture[str],
+) -> None:
+    monkeypatch.setenv("SHELL", "/bin/zsh")
+    monkeypatch.setenv("HOME", str(tmp_path))
+
+    responses = iter(["y", "y"])
+    monkeypatch.setattr("builtins.input", lambda _prompt: next(responses))
+
+    main()
+    main()
+
+    profile_path = tmp_path / ".zshrc"
+    content = profile_path.read_text(encoding="utf-8")
+
+    assert content.count(CD_FUNCTION_SNIPPET) == 1
+
+    output = capsys.readouterr().out
+    assert "already exists" in output
+    assert "source ~/.zshrc" in output