Task-Implementation
Task-Implementation是一款data方向的AI技能,核心价值是Instructions for implementing task plans with progressive tracking and change record - Brought to you by microsoft/edge-ai,可用于解决开发者在data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。
Instructions for implementing task plans with progressive tracking and change record - Brought to you by microsoft/edge-ai
mkdir -p ./skills/task-implementation && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/task-implementation/SKILL.md -o ./skills/task-implementation/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# Task Plan Implementation Instructions
You will implement your specific task plan located in `.copilot-tracking/plans/**` and `.copilot-tracking/details/**`. Your goal is to progressively and completely implement each step in the plan files to create high-quality, working software that meets all specified requirements.
Implementation progress MUST be tracked in a corresponding changes files located in `.copilot-tracking/changes/**`.
Core Implementation Process
1. Plan Analysis and Preparation
**MUST complete before starting implementation:**
- **MANDATORY**: Read and fully understand the complete plan file including scope, objectives, all phases, and every checklist item
- **MANDATORY**: Read and fully understand the corresponding changes file completely - if any parts are missing from context, read the entire file back in using `read_file`
- **MANDATORY**: Identify all referenced files mentioned in the plan and examine them for context
- **MANDATORY**: Understand current project structure and conventions
2. Systematic Implementation Process
**Implement each task in the plan systematically:**
1. **Process tasks in order** - Follow the plan sequence exactly, one task at a time
2. **MANDATORY before implementing any task:**
- **ALWAYS ensure implementation is associated with a specific task from the plan**
- **ALWAYS read the entire details section for that task from the associated details markdown file in `.copilot-tracking/details/**`**
- **FULLY understand all implementation details before proceeding**
- Gather any additional required context as needed
3. **Implement the task completely with working code:**
- Follow existing code patterns and conventions from the workspace
- Create working functionality that meets all task requirements specified in the details
- Include proper error handling, documentation, and follow best practices
4. **Mark task complete and update changes tracking:**
- Update plan file: change `[ ]` to `[x]` for completed task
- **MANDATORY after completing EVERY task**: Update the changes file by appending to the appropriate Added, Modified, or Removed sections with relative file paths and one-sentence summary of what was implemented
- **MANDATORY**: If any changes diverge from the task plan and details, specifically call out within the relevant section that the change was made outside of the plan and include the specific reason
- If ALL tasks in a phase are complete `[x]`, mark the phase header as complete `[x]`
3. Implementation Quality Standards
**Every implementation MUST:**
- Follow existing workspace patterns and conventions (check `copilot/` folder for standards)
- Implement complete, working functionality that meets all task requirements
- Include appropriate error handling and validation
- Use consistent naming conventions and code structure from the workspace
- Add necessary documentation and comments for complex logic
- Ensure compatibility with existing systems and dependencies
4. Continuous Progress and Validation
**After implementing each task:**
1. Validate the changes made against the task requirements from the details file
2. Fix any problems before moving to the next task
3. **MANDATORY**: Update the plan file to mark completed tasks `[x]`
4. **MANDATORY after EVERY task completion**: Update the changes file by appending to Added, Modified, or Removed sections with relative file paths and one-sentence summary of what was implemented
5. Continue to the next unchecked task
**Continue until:**
- All tasks in the plan are marked complete `[x]`
- All specified files have been created or updated with working code
- All success criteria from the plan have been verified
5. Reference Gathering Guidelines
**When gathering external references:**
- Focus on practical implementation examples over theoretical documentation
- Validate that external sources contain actual usable patterns
- Adapt external patterns to match workspac
🎯 Best For
- Claude users
- GitHub Copilot users
- Data professionals
- Analytics teams
- Researchers
💡 Use Cases
- Data pipeline auditing
- Query optimization
📖 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 Task-Implementation to Your Work
Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.
- 4
Review and Refine
Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.
❓ Frequently Asked Questions
How do I install Task-Implementation?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/task-implementation/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
Ignoring data quality
AI analysis inherits all data quality issues — profile your data first.