indexion-kgf は何をしますか？
KGF仕様のデバッグと検査 — ソースファイルからトークン化結果、解析ツリー、抽出されたエッジを表示します。言語サポートの追加/修正時やindexionの分析出力がおかしい場合に使用します。
KGF仕様のデバッグと検査 — ソースファイルからトークン化結果、解析ツリー、抽出されたエッジを表示します。言語サポートの追加/修正時やindexionの分析出力がおかしい場合に使用します。
このスキルは、KGF（Knowledge Graph Format）仕様のデバッグと検査を支援するためのツールです。開発者が言語サポートを追加・修正する際や、indexionの分析結果に問題がある場合に、ソースファイルのトークン化結果、解析ツリー、抽出されたエッジを可視化します。主にコード解析やナレッジグラフ構築に関わるAIエージェント（Claude Code、Cursor、Codexなど）で利用でき、内部処理のデバッグを効率化します。マークダウン形式のドキュメントに基づき、特定のコマンドや操作を通じて解析の各段階を詳細に確認できるよう設計されています。
npx skills add https://github.com/trkbt10/indexion-skills/tree/main/skills/indexion-kgfInstalled? Explore more 研究＆データ分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
KGF仕様のデバッグと検査 — ソースファイルからトークン化結果、解析ツリー、抽出されたエッジを表示します。言語サポートの追加/修正時やindexionの分析出力がおかしい場合に使用します。
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.
Documentation analysis — assess coverage, detect code-to-doc drift with plan reconcile, visualize dependencies with doc graph. Answers "what needs docs?" and "are docs still accurate?"
Detect and review name/content drift in code using `indexion identity audit`, then plan verified renames, moves, folder changes, or splits.
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.