indexion-identity は何をしますか？
indexion identity audit を使用してコード内の名前と内容のずれを検出・レビューし、検証済みのリネーム、移動、フォルダ変更、分割を計画します。
`indexion identity audit` を使用してコード内の名前と内容のずれを検出・レビューし、検証済みのリネーム、移動、フォルダ変更、分割を計画します。
trkbt10/indexion-identity は、コードベース内で名前と実際の内容の間に生じる「ドリフト（ずれ）」を検出し、整理するためのAIエージェントスキルです。`indexion identity audit` コマンドを実行することで、不適切なファイル名、クラス名、関数名など、本来の役割と合致していない識別子を特定します。開発者はその結果をレビューし、リネーム、ファイル移動、フォルダ構成の変更、分割などのリファクタリング計画を、安全性を検証しながら立案・実行できます。このスキルは、コードの一貫性を保ち、技術的負債を削減するのに役立ちます。主にClaude Code、Cursor、CodexなどのAIエージェントプラットフォームで動作し、プロジェクトのスケーラビリティとメンテナンス性を向上させます。
npx skills add https://github.com/trkbt10/indexion-skills/tree/main/skills/indexion-identityInstalled? Explore more ライティング＆編集 skills: steipete/notion, langchain-ai/langchain, bytedance/podcast-generation · View all 6 →
indexion identity audit を使用してコード内の名前と内容のずれを検出・レビューし、検証済みのリネーム、移動、フォルダ変更、分割を計画します。
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?"
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.
Notion CLI/API for pages, Markdown content, data sources, files, comments, search, Workers, and raw API calls.
The agent engineering platform.
Use this skill when the user requests to generate, create, or produce podcasts from text content. Converts written content into a two-host conversational podcast audio format with natural dialogue.
Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors