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- rlaope/bestwork-agent
- 최근 소스 활동
- 2026년 4월 8일 05:40
- 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.
SOC 직업 분류 기준
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 clarify명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SKILL.md 표시 중
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
| name | clarify |
| description | Ask targeted clarifying questions to uncover missed requirements before execution |
When this skill is invoked, you MUST follow this exact output sequence.
[BW] clarify — requirement deep-check before execution...
Before asking any question, do TWO things silently:
If the request involves existing code, spawn an Explore agent to understand the current state:
NEVER ask the user about something you can find in the codebase yourself.
Score the request on 4 dimensions (0-100):
| Dimension | Weight | What it measures |
|---|---|---|
| Goal | 40% | Is the primary objective unambiguous? |
| Scope | 25% | What's in and what's out? |
| Criteria | 20% | How do we know it's done correctly? |
| Risk | 15% | What constraints, edge cases, or failure modes exist? |
Print the initial assessment:
[BW] clarity assessment:
Goal: {score}% — {brief reason}
Scope: {score}% — {brief reason}
Criteria: {score}% — {brief reason}
Risk: {score}% — {brief reason}
─────────────────
Overall: {weighted score}%
If overall score >= 80%: skip to Step 4 (no questions needed).
[BW] ✓ requirements clear enough — proceeding without questions
If the request contains concrete signals (file paths, function names, error messages, numbered steps, acceptance criteria), boost the score accordingly.
Ask ONE question per round, targeting the lowest-scoring dimension.
Use AskUserQuestion for each question:
[BW] clarify round {N}/5 — targeting: {dimension} ({score}%)
{The question — specific, actionable, not generic}
Hints (if applicable):
- {option A based on codebase context}
- {option B}
- {option C}
(say "go" to skip remaining questions and start execution)
[BW] clarity update:
Goal: 85% (+15) ✓
Scope: 45% (+0) ← next target
Criteria: 60% (+10)
Risk: 30% (+0)
─────────────────
Overall: 60%
Stop the question loop when:
Print the final requirements spec:
[BW] ═══════════════════════════════════
[BW] clarify complete — {N} rounds, {overall}% clarity
[BW] ═══════════════════════════════════
## Requirements (confirmed)
{Bullet list of confirmed requirements from the original request + answers}
## Decisions made
{Bullet list of decisions from the Q&A that resolved ambiguity}
## Open gaps (if any)
{Bullet list of remaining low-score areas — flagged but not blocking}
## Recommended execution
- Mode: {solo/trio/blitz based on scope}
- Agents: {recommended agent list}
After the summary, offer next steps:
[BW] next:
a) execute now — proceed with these requirements
b) ask more — continue clarifying
c) save spec — save to .bestwork/specs/ and decide later
If user picks (a): route to the appropriate execution skill (delegate/trio/blitz/deliver) based on the classified scope.
If user picks (c): save to .bestwork/specs/{timestamp}-{slug}.md.
Save clarification state to .bestwork/state/clarify.json:
{
"created": "<ISO timestamp>",
"originalRequest": "<user's original prompt>",
"rounds": [
{
"round": 1,
"dimension": "scope",
"question": "...",
"answer": "...",
"scoreDelta": { "scope": 25 }
}
],
"finalScores": { "goal": 90, "scope": 75, "criteria": 85, "risk": 60 },