parcadei/continuous-claude-v3

tdd-migrate

TDD workflow for migrations - orchestrate agents, zero main context growth

First seen Jan 22, 2026

Installation

$ npx skills add parcadei/continuous-claude-v3 --skill tdd-migrate

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More details

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Repository health

Stars 3.9K
License LICENSE
Default branch main
Open issues 30
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Allowed toolsTask, TodoWrite, Write, Read, Bash

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 5,887 B
  • docs SUMMARY.md 90 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 470 installs

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

  1. 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

  1. Agents do ALL work
Task Agent
Explore/analyze scout
Write tests + implement kraken
Quick fixes spark
Run tests/validate validator
Code review critic
  1. Parallel where independent

- All items can be implemented in parallel if independent - Review + QLTY run in parallel - TLDR analysis runs in parallel with planning

  1. 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