indexion-documentation 是做什麼的？
文件分析 — 評估覆蓋範圍、透過計畫比對檢測程式碼與文件之間的漂移、透過文件圖視覺化相依性。回答「什麼需要文件？」和「文件是否仍然準確？」
文件分析 — 評估覆蓋範圍、透過計畫比對檢測程式碼與文件之間的漂移、透過文件圖視覺化相依性。回答「什麼需要文件？」和「文件是否仍然準確？」
此技能專注於文件分析，協助開發者與AI代理評估文件的覆蓋範圍，偵測程式碼與文件之間的不一致（即漂移），並透過計畫比對進行調和。它還能生成文件相依性圖，幫助視覺化理解文件結構。支援平台包括Claude Code、Cursor、Codex等常見AI代理工具。主要功能是回答「哪些部分需要文件？」以及「現有文件是否仍準確？」這兩個核心問題，從而提升文件維護的品質與效率。運作方式基於SKILL.md中的定義，可能結合靜態分析與比對演算法來自動化文件審查流程。
npx skills add https://github.com/trkbt10/indexion-skills/tree/main/skills/indexion-documentationInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
文件分析 — 評估覆蓋範圍、透過計畫比對檢測程式碼與文件之間的漂移、透過文件圖視覺化相依性。回答「什麼需要文件？」和「文件是否仍然準確？」
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.