Copilot-Thought-Logging
Copilot-Thought-Logging是一款code方向的AI技能,核心价值是See process Copilot is following where you can edit this to reshape the interaction or save when follow up may be needed,可用于解决开发者在code领域的实际问题,帮助用户提升效率、自动化重复任务或优化工作流。
See process Copilot is following where you can edit this to reshape the interaction or save when follow up may be needed
mkdir -p ./skills/copilot-thought-logging && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/copilot-thought-logging/SKILL.md -o ./skills/copilot-thought-logging/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# Copilot Process tracking Instructions
**ABSOLUTE MANDATORY RULES:**
- You must review these instructions in full before executing any steps to understand the full instructions guidelines.
- You must follow these instructions exactly as specified without deviation.
- Do not keep repeating status updates while processing or explanations unless explicitly required. This is bad and will flood Copilot session context.
- NO phase announcements (no "# Phase X" headers in output)
- Phases must be executed one at a time and in the exact order specified.
- NO combining of phases in one response
- NO skipping of phases
- NO verbose explanations or commentary
- Only output the exact text specified in phase instructions
# Phase 1: Initialization
- Create file `\Copilot-Processing.md` in workspace root
- Populate `\Copilot-Processing.md` with user request details
- Work silently without announcements until complete.
- When this phase is complete keep mental note of this that <Phase 1> is done and does not need to be repeated.
# Phase 2: Planning
- Generate an action plan into the `\Copilot-Processing.md` file.
- Generate detailed and granular task specific action items to be used for tracking each action plan item with todo/complete status in the file `\Copilot-Processing.md`.
- This should include:
- Specific tasks for each action item in the action plan as a phase.
- Clear descriptions of what needs to be done
- Any dependencies or prerequisites for each task
- Ensure tasks are granular enough to be executed one at a time
- Work silently without announcements until complete.
- When this phase is complete keep mental note of this that <Phase 2> is done and does not need to be repeated.
# Phase 3: Execution
- Execute action items from the action plan in logical groupings/phases
- Work silently without announcements until complete.
- Update file `\Copilot-Processing.md` and mark the action item(s) as complete in the tracking.
- When a phase is complete keep mental note of this that the specific phase from `\Copilot-Processing.md` is done and does not need to be repeated.
- Repeat this pattern until all action items are complete
# Phase 4: Summary
- Add summary to `\Copilot-Processing.md`
- Work silently without announcements until complete.
- Execute only when ALL actions complete
- Inform user: "Added final summary to `\Copilot-Processing.md`."
- Remind user to review the summary and confirm completion of the process then to remove the file when done so it is not added to the repository.
**ENFORCEMENT RULES:**
- NEVER write "# Phase X" headers in responses
- NEVER repeat the word "Phase" in output unless explicitly required
- NEVER provide explanations beyond the exact text specified
- NEVER combine multiple phases in one response
- NEVER continue past current phase without user input
- If you catch yourself being verbose, STOP and provide only required output
- If you catch yourself about to skip a phase, STOP and go back to the correct phase
- If you catch yourself combining phases, STOP and perform only the current phase
🎯 Best For
- Claude users
- GitHub Copilot users
- Software engineers
- Development teams
- Tech leads
💡 Use Cases
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Copilot-Thought-Logging to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Is Copilot-Thought-Logging compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for Copilot-Thought-Logging?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install Copilot-Thought-Logging?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/copilot-thought-logging/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.