indexion-identity 是做什么的？
使用 indexion identity audit 检测并审查代码中的名称/内容漂移，然后规划经过验证的重命名、移动、文件夹更改或拆分。
使用 `indexion identity audit` 检测并审查代码中的名称/内容漂移，然后规划经过验证的重命名、移动、文件夹更改或拆分。
该技能旨在帮助开发者识别并解决代码库中的名称与内容不一致问题（即“漂移”）。它通过 `indexion identity audit` 命令分析代码中的实体命名与实际内容是否匹配，检测出可能存在的重命名、移动或结构拆分需求。用户随后可以基于审计结果，有计划地执行经过验证的修改，确保代码的一致性和可维护性。该技能适用于多种开发环境（如 Claude Code, Cursor, Codex），通过指令驱动的自动化方式简化了代码重构中的一致性审查流程。
npx skills add https://github.com/trkbt10/indexion-skills/tree/main/skills/indexion-identityInstalled? Explore more 写作与编辑 skills: steipete/notion, langchain-ai/langchain, bytedance/podcast-generation · View all 6 →
使用 indexion identity audit 检测并审查代码中的名称/内容漂移，然后规划经过验证的重命名、移动、文件夹更改或拆分。
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