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- tomevault-io/skills-registry
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- 2026년 5월 11일 15:30
- 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/tomevault-io/skills-registry --skill fix-test명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SKILL.md 표시 중
| Use when this capability is needed.
> Use when this capability is needed.
Review architecture and API design for the vfs-s3 project. Use when the user mentions @architect, asks to review an issue's design, discuss module boundaries, API shape, or architectural decisions for vfs-s3. Also trigger when the user wants to create an ADR (Architecture Decision Record) or evaluate a technical approach for the project. Intended for dispatch from Codex automation or Claude routines; GitHub trigger phrase: @vfs-s3-bot please prepare design doc Use when this capability is needed.
| name | fix-test |
| description | [Implementation] Run test suite and fix issues Use when this capability is needed. |
[IMPORTANT] Use
TaskCreateto break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ATTENTION ask user whether to skip.
Understand Code First — HARD-GATE: Do NOT write, plan, or fix until you READ existing code.
- Search 3+ similar patterns (
grep/glob) — citefile:lineevidence- Read existing files in target area — understand structure, base classes, conventions
- Run
python .claude/scripts/code_graph trace <file> --direction both --jsonwhen.code-graph/graph.dbexists- Map dependencies via
connectionsorcallers_of— know what depends on your target- Write investigation to
.ai/workspace/analysis/for non-trivial tasks (3+ files)- Re-read analysis file before implementing — never work from memory alone
- NEVER invent new patterns when existing ones work — match exactly or document deviation
BLOCKED until:
- [ ]Read target files- [ ]Grep 3+ patterns- [ ]Graph trace (if graph.db exists)- [ ]Assumptions verified with evidence
Evidence-Based Reasoning — Speculation is FORBIDDEN. Every claim needs proof.
- Cite
file:line, grep results, or framework docs for EVERY claim- Declare confidence: >80% act freely, 60-80% verify first, <60% DO NOT recommend
- Cross-service validation required for architectural changes
- "I don't have enough evidence" is valid and expected output
BLOCKED until:
- [ ]Evidence file path (file:line)- [ ]Grep search performed- [ ]3+ similar patterns found- [ ]Confidence level statedForbidden without proof: "obviously", "I think", "should be", "probably", "this is because" If incomplete → output:
"Insufficient evidence. Verified: [...]. Not verified: [...]."
docs/project-reference/domain-entities-reference.md — Domain entity catalog, relationships, cross-service sync (read when task involves business entities/models) (content auto-injected by hook — check for [Injected: ...] header before reading)Estimation — Modified Fibonacci: 1(trivial) → 2(small) → 3(medium) → 5(large) → 8(very large) → 13(epic, SHOULD split) → 21(MUST ATTENTION split). Output
story_pointsandcomplexityin plan frontmatter. Complexity auto-derived: 1-2=Low, 3-5=Medium, 8=High, 13+=Critical.
docs/test-specs/ — Test specifications by module (read existing TCs for expected behavior context when diagnosing failures)Skill Variant: Variant of
/fix— test suite failure diagnosis and resolution.
Goal: Run test suites, analyze failures, and fix the underlying code or test issues.
Workflow:
Key Rules:
file:line evidenceRoot Cause Debugging — Systematic approach, never guess-and-check.
- Reproduce — Confirm the issue exists with evidence (error message, stack trace, screenshot)
- Isolate — Narrow to specific file/function/line using binary search + graph trace
- Trace — Follow data flow from input to failure point. Read actual code, don't infer.
- Hypothesize — Form theory with confidence %. State what evidence supports/contradicts it
- Verify — Test hypothesis with targeted grep/read. One variable at a time.
- Fix — Address root cause, not symptoms. Verify fix doesn't break callers via graph
connectionsNEVER: Guess without evidence. Fix symptoms instead of cause. Skip reproduction step.
Analyze the skills catalog and activate the skills that are needed for the task during the process.
Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).
file:line evidenceMANDATORY IMPORTANT MUST ATTENTION declare Confidence: X% with evidence list + file:line proof for EVERY claim.
95%+ recommend freely | 80-94% with caveats | 60-79% list unknowns | <60% STOP — gather more evidence.
⚠️ Validate Before Fix (NON-NEGOTIABLE): After root cause analysis + plan creation, MUST ATTENTION present findings + proposed fix to user via
AskUserQuestionand get explicit approval BEFORE any code changes. No silent fixes.
$ARGUMENTS
tester subagent to compile the code and fix all syntax errors if any.tester subagent to run the tests and report back to main agent.
.ai/workspace/analysis/{test-issue}.analysis.md. Re-read before fixing.debugger subagent to find the root cause of the issues, then report back to main agent.planner subagent to create an implementation plan based on the reports, then report back to main agent.AskUserQuestion → wait for user approval.tester agent to test the fix and make sure it works, then report back to main agent.code-reviewer subagent to quickly review the code changes and make sure it meets requirements, then report back to main agent./prove-fix — build code proof traces per change with confidence scores. Never skip.TaskCreate BEFORE startingfile:line evidence for every claim (confidence >80% to act)file:line evidence for every claim. Confidence >80% to act, <60% = do NOT recommend.
story_points and complexity in plan frontmatter. SP > 8 = split.
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