Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Run or maintain the full tdmcp repo quality-audit team: command sweeps, all package/Makefile/CI gates, security review, usability/flow review, refactor/test-gap analysis, coverage hardening, QA, and follow-up fix waves. Use whenever the user asks for a complete audit, improve repo/code quality, test all commands, find security/usability failures, refactor debt, add missing tests, re-run the audit, continue a previous quality wave, or verify the repo is ready.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Use this skill for broad repository quality campaigns. It coordinates existing
tdmcp specialists instead of replacing them: tdmcp-test-coverage handles focused
coverage waves, and td-feature-qa handles tool/CLI/docs/bridge boundary QA.
This environment runs coordinated sub-agents rather than TeamCreate. Spawn the
independent auditors in parallel, then fan their reports into one lead-owned plan.
Implementation happens in small waves after QA verifies the findings.
| Agent | Focus | Output |
|---|---|---|
tdmcp-quality-audit-lead | scope, orchestration, shared edits, wave plan | _workspace/quality-audit/00_scope.md, 05_plan.md |
tdmcp-command-auditor | scripts, Makefile, CI, CLI command health | _workspace/quality-audit/01_commands.md |
tdmcp-security-auditor | trust boundaries, raw Python, env redaction, package safety | _workspace/quality-audit/02_security.md |
tdmcp-ux-flow-auditor | first-run, docs-to-command parity, CLI help/errors | _workspace/quality-audit/03_usability.md |
tdmcp-refactor-test-auditor | coverage gaps, weak tests, complexity, refactor seams | _workspace/quality-audit/04_refactor_tests.md |
tdmcp-quality-qa | verifies evidence and first patch wave | _workspace/quality-audit/06_qa.md |
AGENTS.md, CLAUDE.md, package.json, Makefile,
.github/workflows/*.yml, vitest.config.ts, and existing
_workspace/quality-audit/ reports._workspace/quality-audit/archive/<timestamp>/ before a fresh audit.Create _workspace/quality-audit/00_scope.md with:
Command policy:
command -v rtk >/dev/null 2>&1 succeeds, use rtk for shell commands
and follow local repo instructions such as rtk proxy zsh -lc for pipelines
or shell control flow;rtk is unavailable, record that fallback in 00_scope.md and run the
same commands through the normal shell/Codex exec path without failing the
audit solely because the wrapper is missing.npm run typecheck, npm run build, ./node_modules/.bin/biome check ., npm test, npm run validate:recipes, npm run test:bridge,
npm run docs:build, make complexity, npm run deps:check,
npm run coverage:harness.dev, start, docs:dev, docs:preview,
smoke:live, docs:clips, import:bottobot, prepublishOnly,
npm publish, tag/push/version commands, and any server command.Spawn the four auditors in parallel:
tdmcp-command-auditortdmcp-security-auditortdmcp-ux-flow-auditortdmcp-refactor-test-auditorEach report must use PASS / FAIL / UNVERIFIED buckets and include file:line or command evidence. Avoid generic recommendations that cannot become a patch or a test.
The lead reads all reports and writes _workspace/quality-audit/05_plan.md:
Patch waves should be small:
Run tdmcp-quality-qa against the reports. It must reject:
Only after QA, implement the smallest useful wave. For coverage-heavy work, invoke
tdmcp-test-coverage and keep writers on disjoint test files. For boundary
quality issues, invoke td-feature-qa. After edits, run narrow tests first, then
the relevant gates from Phase 1.
Update _workspace/quality-audit/06_qa.md with final command results and report:
npm ci only when appropriate for the checkout
and record that it was required.Normal flow: user asks for a complete quality audit. The lead creates
00_scope.md, four auditors run in parallel, QA verifies evidence, Wave A adds
two CLI/config security regression tests, and gates pass. The final report keeps
TouchDesigner live smoke as UNVERIFIED if the bridge is offline.
Error flow: docs:build regenerates docs/reference/tools.md and fails because a
tool schema is broken. The command auditor records FAIL, the lead routes the
boundary to td-feature-qa, a focused test locks the schema behavior, docs build
is re-run, and the final report names the fixed file and command.
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Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
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Reference for how BDB structures autonomous software engineering work — the seven-node dispatcher graph (Architect, TechLead, UI/UX, Engineering, Media/EventTech, Reviewer, Shipping) that /startcycle-graph actually runs. Use when you need the high-level lifecycle framing without inventing your own process.
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Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling.
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Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
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agenttrail: live map of a multi-agent build in the browser: which plan component is being worked on, by which agent or harness, what is done and what is stuck. Use when a multi-agent pipeline starts (/startcycle, /startcycle-graph, /teamwork-preview) or after a plan-canvas approve, when the user asks to see what the agents are doing ("live map", "build board", "who is running now"), or by yourself whenever a multi-agent run is under way — no user prompt needed.
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