indexion-documentation은(는) 무엇을 하나요?
문서화 분석 — 적용 범위 평가, 계획 조정을 통한 코드-문서 간 차이 탐지, 문서 그래프로 종속성 시각화. "무엇에 문서가 필요한가?"와 "문서가 여전히 정확한가?"에 답변합니다.
문서화 분석 — 적용 범위 평가, 계획 조정을 통한 코드-문서 간 차이 탐지, 문서 그래프로 종속성 시각화. "무엇에 문서가 필요한가?"와 "문서가 여전히 정확한가?"에 답변합니다.
이 스킬은 프로젝트 문서화 상태를 분석하고 개선하기 위한 종합 도구입니다. 코드베이스의 문서 적용 범위를 평가하고, 계획 조정(reconcile)을 통해 코드와 문서 간의 차이(drift)를 탐지하며, 문서 그래프(doc graph)를 통해 문서 간 종속성을 시각화합니다. 주로 Claude Code, Cursor, Codex와 같은 AI 에이전트 플랫폼에서 사용할 수 있으며, 개발자와 문서 작성자에게 "어떤 부분에 문서가 필요한지"와 "문서가 여전히 최신 상태인지"에 대한 명확한 답을 제공합니다. SKILL.md 문서를 기반으로 작동하며, 분석 결과를 구조화된 형식으로 출력하여 문서화 작업의 우선순위를 정하고 유지보수를 자동화하는 데 도움을 줍니다.
npx skills add https://github.com/trkbt10/indexion-skills/tree/main/skills/indexion-documentationInstalled? Explore more 연구 & 데이터 분석 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
문서화 분석 — 적용 범위 평가, 계획 조정을 통한 코드-문서 간 차이 탐지, 문서 그래프로 종속성 시각화. "무엇에 문서가 필요한가?"와 "문서가 여전히 정확한가?"에 답변합니다.
This repo contains 8 individual skills — each has its own dedicated page.
Generate and use a pre-edit structure brief so coding agents learn likely owners, consumer surfaces, and unsafe edit locations before implementing.
Detect and review name/content drift in code using `indexion identity audit`, then plan verified renames, moves, folder changes, or splits.
Debug and inspect KGF specs — view tokenization results, parse trees, and extracted edges from source files. Use when adding/fixing language support or when indexion's analysis output looks wrong.
README construction — initialize template structure, generate per-package READMEs from doc comments, plan writing tasks, assemble root README from docs/ and package READMEs via doc.json config, and verify edits with `plan drift`.
After writing code, detect and clean up duplication at three levels — copy-paste blocks, cross-package shared code, unnecessary wrappers, and concept-level SoT violations. Detect with indexion, fix, and verify.
Generate SDD requirements from RFCs/specs and quantitatively verify implementation conformance. spec draft → spec align → spec verify → automated validation loop with codex/claude. Operate spec-to-impl drift gates as CI checks.
Split text into contextual chunks for RAG/embedding pipelines. Document segmentation and section extraction using window, tfidf, punctuation, or hybrid strategies chosen by intent.
Project wiki lifecycle — create pages, track source changes with ingest, update stale pages, lint structural integrity, detect code-to-doc drift with reconcile, and manage search indexes. A runbook for navigating and maintaining the wiki as an agent.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.