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- rlaope/bestwork-agent
- 최근 소스 활동
- 2026년 4월 8일 05:46
- 감지된 SKILL.md 언어
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설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/rlaope/bestwork-agent --skill trio명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
Evidence-driven causal tracing — competing hypotheses, falsification, rebuttal round, recommended next probes
Feature validation gate — research, define purpose, stress-test from real user perspective before building
Maximum parallelism burst — all tasks execute simultaneously with no coordination overhead
SOC 직업 분류 기준
SKILL.md 표시 중
| name | trio |
| description | Execute tasks in parallel with dynamically assigned agents per task |
When this skill is invoked, you MUST follow this exact output sequence. Do NOT skip any print statement.
[BW] assembling team...
For EACH task, print on its own line:
[BW] task 1: "{task}" → [agent1, agent2]
[BW] task 2: "{task}" → [agent1]
[BW] task 3: "{task}" → [agent1, agent2, agent3]
When spawning agents, print a [BW] line for EVERY SINGLE agent spawn. This is critical — users need to see agents launching in rapid succession:
[BW] ▶ launching bestwork:tech-auth (task 1)
[BW] ▶ launching bestwork:critic-security (task 1)
[BW] ▶ launching bestwork:tech-testing (task 2)
[BW] ▶ launching bestwork:tech-frontend (task 3)
[BW] ▶ launching bestwork:pm-product (task 3)
[BW] ▶ launching bestwork:critic-dx (task 3)
Print each [BW] ▶ launching line IMMEDIATELY before each Agent tool call. Do NOT batch them — print one, spawn one, print next, spawn next. This creates the "rapid fire" visual effect.
IMPORTANT: For EACH agent you spawn, ALSO call TaskCreate so the user sees a live progress spinner:
TaskCreate: subject="bestwork:tech-auth (task 1)", description="implementing auth endpoint", activeForm="bestwork:tech-auth working..."
TaskCreate: subject="bestwork:critic-security (task 1)", description="reviewing security", activeForm="bestwork:critic-security reviewing..."
TaskCreate: subject="bestwork:tech-testing (task 2)", description="writing tests", activeForm="bestwork:tech-testing writing..."
This shows live spinners under the prompt for each running agent. When an agent completes, update the task with TaskUpdate (status: completed).
As each background agent completes:
[BW] ✓ bestwork:tech-auth done (task 1) — implemented auth endpoint
[BW] ✓ bestwork:critic-security done (task 1) — APPROVE, no issues
[BW] ✗ bestwork:pm-product rejected (task 3) — missing error handling
[BW] ↻ task 3: feeding critic feedback to tech (round 2/3)
[BW] ▶ re-launching bestwork:tech-frontend (task 3, round 2)
[BW] ═══════════════════════════════════
[BW] complete: {N} tasks, {M} agents, {K} rounds
[BW] ═══════════════════════════════════
After printing the summary line, call report-writer (src/observe/report-writer.ts) to save detailed output:
writeReport("trio", {
total: {N},
done: {M},
agents: [list of all agents used],
tasks: [list of task descriptions],
durationMs: {elapsed ms},
decisions: [key decisions from meeting log]
}, projectRoot)
Then call summarize (src/observe/result-summarizer.ts) and print the 1-liner:
[BW] ✓ {M}/{N} done — details: .bestwork/reports/trio-{timestamp}.md
After writing the meeting log footer to .bestwork/state/meeting.jsonl, also append a decisions entry to .bestwork/context/decisions.md. Create the file and directory if they do not exist.
Format:
## {date}: {task}
- **Mode**: trio ({N} agents)
- **Verdict**: {APPROVED/REJECTED}
- **Key agents**: {comma-separated agent list}
- **Summary**: {1-sentence summary from the meeting}
The gateway provides taskAllocations with agents per task. If not provided, allocate:
[BW] ▶ line[BW] ✓ or [BW] ✗ linerun_in_background: true for parallel agents.bestwork/state/meeting.jsonl