tdd-migrate

SKILL.md

TDD Migrate

Orchestrate TDD migrations with agents doing all work. Main context stays clean.

When to Use

"Port X from Python to TypeScript"

"Create N adapters following existing pattern"

"Migrate module to new architecture"

"TDD implementation of multiple similar items"

Parameters

/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 code

pattern: Reference file/pattern to follow

items: Comma-separated list of things to create

Workflow

Phase 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

Key Principles

Main context = orchestration only

Never read files directly (use scout)

Never implement directly (use kraken/spark)

Never run tests directly (use validator)

Only pipe context and coordinate

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

All items can be implemented in parallel if independent

Review + QLTY run in parallel

TLDR analysis runs in parallel with planning

Review after each major step

After implementation: critic reviews

After fixes: validator re-validates

Instructions

Step 0: Create YAML TODO

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

Step 1: Launch Scout Agents (parallel)

Task (scout): Analyze <source_path> with TLDR
Task (scout): Analyze <pattern> to understand structure
Task (scout): Read migration handoff if exists

Step 2: Launch Kraken Agents (parallel per item)

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>

Step 3: Review + Validate (parallel)

Task (critic): Review all new files against pattern
Task (validator): Run full test suite
Task (validator): QLTY check all files

Step 4: Fix Issues

If critic/validator found issues:

Task (spark): Fix <specific issue>
Task (validator): Re-validate

Step 5: TLDR Diff

Task (validator): TLDR diff new files vs reference
  - tldr structure <new_file> --lang <lang>
  - tldr structure <reference> --lang <lang>
  - Compare patterns

Step 6: Update Continuity

Update ledger with completed work.

Example: Rigg Adapters

/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:

5 parallel kraken agents

39 tests passing

All adapters working

~15 minutes total

Anti-Patterns (AVOID)

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

Agent Prompts

Scout (analysis)

Explore <path> to understand:
1. Structure/patterns
2. Interfaces/types
3. Dependencies
Return actionable summary for implementation.

Kraken (TDD)

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.

Critic (review)

Review <files> against <pattern>:
1. Pattern compliance
2. Type safety
3. Missing registrations
4. Security issues
DO NOT edit. Report issues only.

Spark (fix)

Fix <specific issue>:
1. Read <file>
2. Make minimal edit
3. Verify fix

Validator (test)

Validate <files>:
1. Run <test_command>
2. Run qlty check
3. Report pass/fail/issues

Success Criteria

 All tests pass

 QLTY reports no issues

 Critic found no critical issues

 TLDR diff shows pattern compliance

 All items registered/exported properly