update-implementation-plan▌
github/awesome-copilot · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Update implementation plan files with new requirements for features, refactoring, or infrastructure changes.
- ›Generates machine-readable, deterministic plans structured for autonomous execution by AI agents or humans
- ›Enforces atomic phases with measurable completion criteria, parallel-executable tasks, and explicit file paths and function names
- ›Requires strict adherence to a mandatory template with front matter, requirements, implementation phases, alternatives, dependencies, affected
Update Implementation Plan
Primary Directive
You are an AI agent tasked with updating the implementation plan file ${file} based on new or updated requirements. Your output must be machine-readable, deterministic, and structured for autonomous execution by other AI systems or humans.
Execution Context
This prompt is designed for AI-to-AI communication and automated processing. All instructions must be interpreted literally and executed systematically without human interpretation or clarification.
Core Requirements
- Generate implementation plans that are fully executable by AI agents or humans
- Use deterministic language with zero ambiguity
- Structure all content for automated parsing and execution
- Ensure complete self-containment with no external dependencies for understanding
Plan Structure Requirements
Plans must consist of discrete, atomic phases containing executable tasks. Each phase must be independently processable by AI agents or humans without cross-phase dependencies unless explicitly declared.
Phase Architecture
- Each phase must have measurable completion criteria
- Tasks within phases must be executable in parallel unless dependencies are specified
- All task descriptions must include specific file paths, function names, and exact implementation details
- No task should require human interpretation or decision-making
AI-Optimized Implementation Standards
- Use explicit, unambiguous language with zero interpretation required
- Structure all content as machine-parseable formats (tables, lists, structured data)
- Include specific file paths, line numbers, and exact code references where applicable
- Define all variables, constants, and configuration values explicitly
- Provide complete context within each task description
- Use standardized prefixes for all identifiers (REQ-, TASK-, etc.)
- Include validation criteria that can be automatically verified
Output File Specifications
- Save implementation plan files in
/plan/directory - Use naming convention:
[purpose]-[component]-[version].md - Purpose prefixes:
upgrade|refactor|feature|data|infrastructure|process|architecture|design - Example:
upgrade-system-command-4.md,feature-auth-module-1.md - File must be valid Markdown with proper front matter structure
Mandatory Template Structure
All implementation plans must strictly adhere to the following template. Each section is required and must be populated with specific, actionable content. AI agents must validate template compliance before execution.
Template Validation Rules
- All front matter fields must be present and properly formatted
- All section headers must match exactly (case-sensitive)
- All identifier prefixes must follow the specified format
- Tables must include all required columns
- No placeholder text may remain in the final output
Status
The status of the implementation plan must be clearly defined in the front matter and must reflect the current state of the plan. The status can be one of the following (status_color in brackets): Completed (bright green badge), In progress (yellow badge), Planned (blue badge), Deprecated (red badge), or On Hold (orange badge). It should also be displayed as a badge in the introduction section.
---
goal: [Concise Title Describing the Package Implementation Plan's Goal]
version: [Optional: e.g., 1.0, Date]
date_created: [YYYY-MM-DD]
last_updated: [Optional: YYYY-MM-DD]
owner: [Optional: Team/Individual responsible for this spec]
status: 'Completed'|'In progress'|'Planned'|'Deprecated'|'On Hold'
tags: [Optional: List of relevant tags or categories, e.g., `feature`, `upgrade`, `chore`, `architecture`, `migration`, `bug` etc]
---
# Introduction

[A short concise introduction to the plan and the goal it is intended to achieve.]
## 1. Requirements & Constraints
[Explicitly list all requirements & constraints that affect the plan and constrain how it is implemented. Use bullet points or tables for clarity.]
- **REQ-001**: Requirement 1
- **SEC-001**: Security Requirement 1
- **[3 LETTERS]-001**: Other Requirement 1
- **CON-001**: Constraint 1
- **GUD-001**: Guideline 1
- **PAT-001**: Pattern to follow 1
## 2. Implementation Steps
### Implementation Phase 1
- GOAL-001: [Describe the goal of this phase, e.g., "Implement feature X", "Refactor module Y", etc.]
| Task | Description | Completed | Date |
|------|-------------|-----------|------|
| TASK-001 | Description of task 1 | ✅ | 2025-04-25 |
| TASK-002 | Description of task 2 | | |
| TASK-003 | Description of task 3 | | |
### Implementation Phase 2
- GOAL-002: [Describe the goal of this phase, e.g., "Implement feature X", "Refactor module Y", etc.]
| Task | Description | Completed | Date |
|------|-------------|-----------|------|
| TASK-004 | Description of task 4 | | |
| TASK-005 | Description of task 5 | | |
| TASK-006 | Description of task 6 | | |
## 3. Alternatives
[A bullet point list of any alternative approaches that were considered and why they were not chosen. This helps to provide context and rationale for the chosen approach.]
- **ALT-001**: Alternative approach 1
- **ALT-002**: Alternative approach 2
## 4. Dependencies
[List any dependencies that need to be addressed, such as libraries, frameworks, or other components that the plan relies on.]
- **DEP-001**: Dependency 1
- **DEP-002**: Dependency 2
## 5. Files
[List the files that will be affected by the feature or refactoring task.]
- **FILE-001**: Description of file 1
- **FILE-002**: Description of file 2
## 6. Testing
[List the tests that need to be implemented to verify the feature or refactoring task.]
- **TEST-001**: Description of test 1
- **TEST-002**: Description of test 2
## 7. Risks & Assumptions
[List any risks or assumptions related to the implementation of the plan.]
- **RISK-001**: Risk 1
- **ASSUMPTION-001**: Assumption 1
## 8. Related Specifications / Further Reading
[Link to related spec 1]
[Link to relevant external documentation]
How to use update-implementation-plan on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add update-implementation-plan
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches update-implementation-plan from GitHub repository github/awesome-copilot and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate update-implementation-plan. Access the skill through slash commands (e.g., /update-implementation-plan) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★72 reviews- ★★★★★Dhruvi Jain· Dec 28, 2024
I recommend update-implementation-plan for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Isabella Johnson· Dec 28, 2024
Solid pick for teams standardizing on skills: update-implementation-plan is focused, and the summary matches what you get after install.
- ★★★★★Dev Bhatia· Dec 28, 2024
Useful defaults in update-implementation-plan — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Henry Sharma· Dec 20, 2024
Useful defaults in update-implementation-plan — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Omar Farah· Dec 20, 2024
I recommend update-implementation-plan for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Isabella Iyer· Dec 16, 2024
Solid pick for teams standardizing on skills: update-implementation-plan is focused, and the summary matches what you get after install.
- ★★★★★Evelyn Nasser· Dec 16, 2024
update-implementation-plan is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Hiroshi Jain· Dec 4, 2024
Registry listing for update-implementation-plan matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Isabella Rahman· Dec 4, 2024
Keeps context tight: update-implementation-plan is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Evelyn Gupta· Nov 27, 2024
We added update-implementation-plan from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
showing 1-10 of 72