trace-claude-code
Automatically trace Claude Code conversations to Braintrust for observability. Captures sessions, conversation turns, and tool calls as hierarchical traces.
TDD workflow for migrations - orchestrate agents, zero main context growth
$ npx -y skills add parcadei/Continuous-Claude-v3 --skill tdd-migrate --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/tdd-migrateContext preview
The summary Claude sees to decide when to auto-load this skill.
TDD workflow for migrations - orchestrate agents, zero main context growth
name: tdd-migrate description: TDD workflow for migrations - orchestrate agents, zero main context growth allowed-tools: [Task, TodoWrite, Write, Read, Bash]
Orchestrate TDD migrations with agents doing all work. Main context stays clean.
/tdd-migrate <source_path> <target_path> --pattern <reference> --items "item1,item2,item3"
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)
│
▼
Complete1. **Main context = orchestration only**
2. **Agents do ALL work** | Task | Agent | |------|-------| | Explore/analyze | scout | | Write tests + implement | kraken | | Quick fixes | spark | | Run tests/validate | validator | | Code review | critic |
3. **Parallel where independent**
4. **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 diffTask (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
A persistent, learning, multi-agent development environment built on Claude Code Continuous Claude transforms Claude Code into a continuously learning system that maintains context across sessions, orchestrates specialized agents, and eliminates wasting
Repo: parcadei/Continuous-Claude-v3
Automatically trace Claude Code conversations to Braintrust for observability. Captures sessions, conversation turns, and tool calls as hierarchical traces.
Guide for integrating Agentica SDK with Claude Code CLI proxy
Reference guide for Agentica multi-agent infrastructure APIs