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ggombeeggombee/code-forge/skills/research/SKILL.md

research

Skill18 starsChanged 7 months agoMITView on GitHub

구조화된 리서치 수행. 주제별 깊이(quick/standard/deep) 선택, 병렬 수집, 신뢰도 등급 부여, 마크다운 리포트 생성.

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Projects with it also use daily-arxiv, exp-eval and 10 more.

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  • LambenthanSkill

    daily-arxiv

    每日从 arXiv 拉取新论文,过滤相关性,auto-ingest 高优先级论文,检测 SOTA 更新

    Also in 5 projects that use this

  • LambenthanSkill

    exp-eval

    实验判决门:Review LLM 独立评判实验结果 → 4 种判决路径 → 自动更新 claims confidence、ideas status、graph edges

    Also in 5 projects that use this

  • truongtv22Skill

    Problem-Solving Techniques

    Apply systematic problem-solving techniques for complexity spirals (simplification cascades), innovation blocks (collision-zone thinking), recurring patterns (meta-pattern recognition), assumption constraints (inversion exercise), scale uncertainty (scale game), and dispatch when stuck. Techniques derived from Microsoft Amplifier project patterns adapted for immediate application.

    Also in 5 projects that use this

  • liufeng1976Skill

    setup-ts-deep-modules

    Wire dependency-cruiser into a TypeScript repo so each package is a deep module — implementation hidden in subfolders, reachable only through its entry-point files. User-invoked.

    Also in 43 projects that use this

  • skyllwtSkill

    exp-pilot-eval

    Pilot result evaluation — read pilot results, apply success criteria, update idea page (pilot_result, failure_reason if failed), generate PILOT_VERDICT_REPORT. Called by /ideate Phase 5 after /exp-pilot-run.

    Also in 4 projects that use this

  • skyllwtSkill

    exp-pilot-run

    Pilot experiment execution — read Pilot Spec YAML, write pilot code, run experiment(Confirm with the user before operation and require the applicant to conduct manual inspection), return results. Called by /ideate Phase 5. Does NOT modify wiki pages or judge pass/fail.

    Also in 4 projects that use this

  • +5 more from Lambenthan
  • +1 more from skyllwt

The file

Files
SKILL.md

Research Skill

구조화된 팩트 기반 리서치 및 마크다운 리포트 생성


트리거

/research [topic] + 옵션 플래그:

  • --quick: 빠른 분석 (3-5 쿼리, 500-1000자)
  • (기본): 표준 분석 (5-10 쿼리, 1500-3000자)
  • --deep: 심층 조사 (10-15 쿼리, 3000-6000자, 반복 패스)

인자 없으면 즉시 주제 요청.


깊이별 기준

항목QuickStandardDeep
쿼리 수3-55-1010-15
최소 출처51020+
리포트 길이500-1000자1500-3000자3000-6000자
반복 패스없음없음있음 (갭 분석)

주제 분류

유형채널
기술 비교WebSearch + GitHub
시장/트렌드WebSearch + 크롤링
경쟁사 분석WebSearch + GitHub
학술 주제arXiv + 문서 페칭
내부 프로젝트코드 탐색 + Grep

워크플로우

Phase작업필수
1. 파싱도구 감지, 주제 분류도구 가용성 확인
2. 전략핵심 질문 3-5개 정의, 범위 설정Sequential thinking
3. 수집병렬 데이터 수집 (researcher, explorer)최소 출처 수 준수
4. 갭 분석(deep만) 누락 영역 2차 쿼리Sequential thinking
5. 리포트피라미드 원칙: 결론 → 상세출처 URL 필수
6. 저장.forge/research/[NN].topic_summary.md파일 저장 필수

리포트 기준

  • 현재 연도 컨텍스트 포함
  • 모든 핵심 주장에 출처 URL 명시
  • 비교 시 증거 테이블 포함
  • 피라미드 원칙: 요약 → 상세

금지 사항

금지
출처 없는 주장
비교 증거 없이 비교 결론
출력 파일 저장 없이 종료
최소 출처 수 미달

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