Orchestrate TDD migrations with agents doing all work. Main context stays clean.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiontdd-migrateExecute the skills CLI command in your project's root directory to begin installation:
Fetches tdd-migrate from parcadei/continuous-claude-v3 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 tdd-migrate. Access via /tdd-migrate 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.
Submit your Claude Code skill and start earning
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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Orchestrate TDD migrations with agents doing all work. Main context stays clean.
/tdd-migrate <source_path> <target_path> --pattern <reference> --items "item1,item2,item3"
source_path: Path to analyze (existing code)target_path: Where to create new codepattern: Reference file/pattern to followitems: Comma-separated list of things to createPhase 0: YAML TODO List
│
▼
Phase 1: TLDR Analysis ─────────────────┐
│ │
▼ │ Parallel scouts
Phase 2: Write Failing Tests ───────────┤ per item
│ │
▼ │
Phase 3: Implement (minimal) ───────────┤
│ │
▼ │
Phase 4: Build + Pass Tests ────────────┘
│
▼
Phase 5: QLTY Check ────────────────────┐
│ │ Parallel
Phase 6: Review Agent Validates ────────┘
│
▼
Phase 7: TLDR Diff (new vs reference)
│
▼
Phase 8: Fix Issues (if any)
│
▼
Complete
Main context = orchestration only
Agents do ALL work
| Task | Agent |
|---|---|
| Explore/analyze | scout |
| Write tests + implement | kraken |
| Quick fixes | spark |
| Run tests/validate | validator |
| Code review | critic |
Parallel where independent
Review after each major step
Write a YAML plan file to thoughts/shared/plans/<name>-tdd.yaml:
---
title: <Migration Name>
date: <today>
type: implementation-plan
approach: TDD (test → build → pass → review)
items:
- name: item1
file: <target_path>/item1.ts
test: <target_path>/__tests__/item1.test.ts
deps: []
- name: item2
# ...
reference: <pattern_file>
workflow:
per_item:
1: Write failing test
2: Implement minimal
3: Build
4: Pass test
5: QLTY check
6: Review
final:
7: Integration test
8: TLDR diff
Task (scout): Analyze <source_path> with TLDR
Task (scout): Analyze <pattern> to understand structure
Task (scout): Read migration handoff if exists
For each item, launch ONE kraken that does full TDD:
Task (kraken): Implement <item> using TDD workflow
1. Read pattern file
2. Write failing test
3. Implement
4. Run: bun test <test_file>
5. Run: qlty check <impl_file>
Task (critic): Review all new files against pattern
Task (validator): Run full test suite
Task (validator): QLTY check all files
If critic/validator found issues:
Task (spark): Fix <specific issue>
Task (validator): Re-validate
Task (validator): TLDR diff new files vs reference
- tldr structure <new_file> --lang <lang>
- tldr structure <reference> --lang <lang>
- Compare patterns
Update ledger with completed work.
/tdd-migrate /Users/cosimo/Documents/rigg/src/sdk/providers \
/Users/cosimo/Documents/rigg/src/sdk/providers \
--pattern lmstudio.ts \
--items "xai,cerebras,togetherai,deepinfra,perplexity"
Resulted in:
| Bad | Good |
|---|---|
| Read files in main context | Launch scout agent |
| Write code in main context | Launch kraken/spark agent |
| Run tests in main context | Launch validator agent |
| Skip review | Always launch critic |
| Sequential items | Parallel krakens |
| Fix in main context | Launch spark |
Explore <path> to understand:
1. Structure/patterns
2. Interfaces/types
3. Dependencies
Return actionable summary for implementation.
Implement <item> using TDD:
1. Read <pattern> for structure
2. Write failing test to <test_path>
3. Implement minimal to <impl_path>
4. Run: <test_command>
5. Run: qlty check <impl_path>
Report: status, issues, files created.
Review <files> against <pattern>:
1. Pattern compliance
2. Type safety
3. Missing registrations
4. Security issues
DO NOT edit. Report issues only.
Fix <specific issue>:
1. Read <file>
2. Make minimal edit
3. Verify fix
Validate <files>:
1. Run <test_command>
2. Run qlty check
3. Report pass/fail/issues
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.
parcadei/continuous-claude-v3
mattpocock/skills
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
tdd-migrate fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for tdd-migrate matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in tdd-migrate — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend tdd-migrate for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added tdd-migrate from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: tdd-migrate is focused, and the summary matches what you get after install.
tdd-migrate has been reliable in day-to-day use. Documentation quality is above average for community skills.
tdd-migrate reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added tdd-migrate from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
tdd-migrate reduced setup friction for our internal harness; good balance of opinion and flexibility.
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