Systematically implements approved spec proposals by executing tasks sequentially with proper testing and validation.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionopenspec-implementationExecute the skills CLI command in your project's root directory to begin installation:
Fetches openspec-implementation from forztf/open-skilled-sdd and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate openspec-implementation. Access via /openspec-implementation in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Systematically implements approved spec proposals by executing tasks sequentially with proper testing and validation.
Implementation follows a read → execute → test → validate cycle for each task:
Critical rule: Use TodoWrite to track progress. Never skip tasks or mark incomplete work as done.
Copy this checklist and track progress:
Implementation Progress:
- [ ] Step 1: Load and understand the proposal
- [ ] Step 2: Set up TodoWrite task tracking
- [ ] Step 3: Execute tasks sequentially
- [ ] Step 4: Test and validate each task
- [ ] Step 5: Update living specifications (if applicable)
- [ ] Step 6: Mark proposal as implementation-complete
Before starting, read all context:
# Read the proposal
cat spec/changes/{change-id}/proposal.md
# Read all tasks
cat spec/changes/{change-id}/tasks.md
# Read spec deltas to understand requirements
find spec/changes/{change-id}/specs -name "*.md" -exec cat {} \;
Understand:
Load tasks from tasks.md into TodoWrite before starting work:
**Pattern**:
Read tasks.md → Extract numbered list → Create TodoWrite entries
**Example**:
If tasks.md contains:
1. Create database migration
2. Implement API endpoint
3. Add tests
4. Update documentation
Then create TodoWrite with:
- content: "Create database migration", status: "in_progress"
- content: "Implement API endpoint", status: "pending"
- content: "Add tests", status: "pending"
- content: "Update documentation", status: "pending"
Why this matters: TodoWrite gives the user visibility into progress and ensures nothing gets skipped.
Work through tasks one at a time, in order:
For each task:
1. Mark as "in_progress" in TodoWrite
2. Execute the work
3. Test the work
4. Only mark "completed" after verification
NEVER skip ahead or batch multiple tasks before testing.
Task execution pattern:
## Task: {Task Description}
**What**: [Brief explanation of what this task does]
**Implementation**:
[Code changes, file edits, commands run]
**Verification**:
[How to verify this task is complete]
- [ ] Code compiles/runs
- [ ] Tests pass
- [ ] Meets requirement scenarios
**Status**: ✓ Complete / ✗ Blocked / ⚠ Partial
After each task, verify it works:
For code tasks:
# Run relevant tests
npm test # or pytest, cargo test, etc.
# Run linter
npm run lint
# Check types (if applicable)
npm run type-check
For database tasks:
# Verify migration runs
npm run db:migrate
# Check schema matches expected
npm run db:schema
For API tasks:
# Test endpoint manually
curl -X POST http://localhost:3000/api/endpoint \
-H "Content-Type: application/json" \
-d '{"test": "data"}'
# Or run integration tests
npm run test:integration
Only mark task complete after all verifications pass.
During implementation, if you discover the spec deltas need updates:
Note: Spec deltas are merged during archiving (Step 6), not during implementation.
After all tasks are complete:
# Create a completion marker
echo "Implementation completed: $(date)" > spec/changes/{change-id}/IMPLEMENTED
Tell the user:
## Implementation Complete
**Change**: {change-id}
**Tasks completed**: {count}
**Tests**: All passing
**Next step**: Archive this change to merge spec deltas into living documentation.
Say "openspec archive {change-id}" or "archive this change" when ready.
If a task cannot be completed:
**Mark as blocked**:
- Keep status as "in_progress" (NOT "completed")
- Document the blocker clearly
- Create a new task for resolving the blocker
- Inform the user immediately
**Example**:
Task: "Implement payment processing"
Blocker: "Missing API credentials for payment gateway"
Action: Create new task "Obtain payment gateway credentials"
If tasks have dependencies, verify prerequisites before starting:
# Example: Database migration must run before API code
# Check migration status
npm run db:status
# Only proceed with API task if migration succeeded
Test incrementally, not at the end:
Good:
Task 1: Create model → Test model → Mark complete
Task 2: Create API → Test API → Mark complete
Task 3: Add validation → Test validation → Mark complete
Bad:
Task 1, 2, 3 → Implement all → Test everything → Debug failures
Keep README, API docs, and comments up to date as you go:
When adding a new API endpoint, also:
- Update API documentation
- Add example request/response
- Update OpenAPI/Swagger spec
- Add inline code comments
Parallel work: If tasks are truly independent (e.g., separate modules), you can work on them in parallel, but each must be tested independently.
Integration points: When task dependencies exist, use integration tests to verify the connection works.
Rollback strategy: For risky changes, create rollback tasks before deploying.
Typical order:
For gradual rollouts:
For API breaking changes:
Don't:
Do:
Solution:
1. Do NOT mark task complete
2. Debug the failure
3. Fix the code
4. Re-run tests
5. Only mark complete after pass
Solution:
1. Break into subtasks
2. Update TodoWrite with subtasks
3. Complete subtasks sequentially
4. Mark parent task complete after all subtasks done
Solution:
1. Pause current task
2. Complete dependency first
3. Test dependency
4. Resume original task
Token budget: This SKILL.md is approximately 430 lines, under the 500-line recommended limit.
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
openspec-implementation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
openspec-implementation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for openspec-implementation matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in openspec-implementation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: openspec-implementation is focused, and the summary matches what you get after install.
We added openspec-implementation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
openspec-implementation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
openspec-implementation reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for openspec-implementation matched our evaluation — installs cleanly and behaves as described in the markdown.
Registry listing for openspec-implementation matched our evaluation — installs cleanly and behaves as described in the markdown.
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