claudecodex

knowledge

Answerability-gated knowledge skills and local MCP: linked Markdown, relation-aware graph extraction, graph visualization, RAG preparation, SQLite index building, and source-grounded retrieval.

3 on GitHubby newkayak12v1.21.4MITupdated todayproductivity
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Plugin knowledge from marketplace newkayak12-claude-skills in newkayak12/claude-skills. Commands read from the repo's manifest — today.

This plugin runs code on your machine — its hooks fire automatically on events like tool use and it starts local MCP servers. The exact commands are listed below; read them before installing.

What it installs

Skills (8)

  • base-builder

    Use when turning code, docs, notes, or mixed sources into a small-to-moderate, query-efficient Markdown knowledge base with predictable folders, an AI lookup catalog, source-grounded summaries, and RAG-ready metadata. - "코드랑 문서를 읽어서 Obsidian처럼 링크 걸린 지식 기반 만들어줘" - "이 레포를 분석해서 vault 형태의 노트로 정리해줘" - "T

  • graph-builder

    Use when building knowledge graphs by extracting source-grounded entities, relationships, properties, evidence, schema, and graph-ready data from code, documents, notes, tickets, or mixed corpora. - "문서랑 코드에서 지식그래프 만들어줘" - "이 자료를 엔티티/관계 중심으로 구조화해줘" - "knowledge graph schema랑 triples 뽑아줘" - "Build a

  • ontology-builder

    Use when defining what kinds of things and relations a knowledge domain has, before graph or RAG work. Triggers on: "온톨로지 설계", "용어/관계 체계 잡아줘", "class·relation 정리", "controlled vocabulary", "design an ontology". - "이 도메인 ontology 설계해줘" - "knowledge graph 만들기 전에 class랑 relation taxonomy 잡아줘" - "RAG랑 g

  • query

    Use when answering a question from an existing knowledge vault, index, or graph with cited sources. Triggers on: "이 knowledge base에서 찾아줘", "근거 달아서 답해줘", "vault에서 알려줘", "answer with citations". Not for building. - "이 knowledge base에서 답 찾아줘" - "vault랑 graph를 보고 영향 범위 알려줘" - "RAG chunks 기준으로 근거 달아서 답해줘

  • rag-corpus-builder

    Use when preparing a retrieval-augmented generation corpus from code, documents, notes, tickets, or mixed sources by chunking, adding metadata, preserving citations, and designing retrieval/evaluation checks. - "이 자료를 RAG용 corpus로 정리해줘" - "문서 chunking이랑 metadata schema 잡아줘" - "RAG 인덱싱 전에 source-grou

  • render-graph-view

    Use when rendering a knowledge graph or Graph View dataset as an interactive, Obsidian-inspired standalone HTML visualization. Reads the knowledge plugin's nodes.jsonl and edges.jsonl artifacts; does not extract or invent graph relationships. - "현재 graph view를 Obsidian 그래프처럼 HTML로 보여줘" - "_graph 데이터

  • sqlite-index-builder

    Use when building, rebuilding, refreshing, or syncing a local SQLite knowledge index from canonical Markdown plus catalog, RAG, and graph JSONL; not for querying an existing index or creating source artifacts. - "MD와 JSONL graph를 SQLite로 sync해줘" - "이 knowledge vault의 SQLite index를 rebuild해줘" - "cata

  • workflow

    Use when building a knowledge vault end to end, or when retrieval answers keep failing and fixes must be measured. Triggers on: "vault 처음부터 끝까지", "검색 품질이 안 올라", "eval 점수 개선 루프", "repair retrieval loop". - "이 저장소로 knowledge vault 처음부터 만들어줘" - "eval 점수가 안 오르는데 뭘 고쳐야 하는지 같이 돌려줘" - "검색 품질 개선 루프 돌리자" - "

MCP servers (1)

  • knowledge-local

    runs: node --no-warnings ${CLAUDE_PLUGIN_ROOT}/servers/knowledge-mcp.mjs --root ${CLAUDE_PROJECT_DIR}

Hooks (2)

  • PostToolUse

    node ${CLAUDE_PLUGIN_ROOT}/hooks/knowledge-delta-check.mjs

  • SessionStart

    sh

View source on GitHub

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Writing skills: plans (gate-ready implementation plans and ticket breakdowns with production-time gap/ambiguity checks + per-step pass bars; technical blog posts; SBI feedback), prd (PRDs, design docs, RFCs and proposals co-written section by section with reader testing), adr (ADRs and fixed-template design reviews), requirements (a requirement or 기획서 split into actors, rules, open questions with defaults, and items with Given/When/Then criteria),spec (a settled conversation synthesised into a spec, open points marked, no re-interview), skill writing, and writer verification (v2 — five passes incl. a humanizer for machine tells, draft loop that rewrites until 🔴🟡 = 0, PR descriptions from a diff as first-class input), and tech-book (performance-based book arc, cumulative examples, transfer practice, six required teaching elements within a chapter length budget, staged review loops with defined severities, lab-running fact checks, pinned chapter end states and a cap closure pass, and PDF in bundled NanumGothic), diagram (checked self-contained SVG + PNG figures: page layout, B-tree, lock timeline, ER, chart, architecture, sequence; moved from develop). Knowledge-base, graph, RAG, and query skills moved to the knowledge plugin.

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