indexion-documentation 是做什么的？
文档分析——评估覆盖率，通过计划协调检测代码与文档的偏差，使用文档图可视化依赖关系。回答“哪些需要文档？”和“文档是否仍然准确？”
文档分析——评估覆盖率，通过计划协调检测代码与文档的偏差，使用文档图可视化依赖关系。回答“哪些需要文档？”和“文档是否仍然准确？”
该技能专注于自动化文档分析，帮助开发者评估文档覆盖率、检测代码与文档之间的偏差（Drift），并通过计划协调（Plan Reconcile）进行修复。它支持生成文档依赖图，直观展示文档之间的关系与缺失部分。核心功能包括识别未被文档覆盖的代码区域，以及验证现有文档是否仍然与代码实现一致。该技能适用于 Claude Code、Cursor 等 AI 代理平台，通过读取项目源代码、文档文件及变更计划，输出结构化的分析报告与可视化图表。使用方式包括在项目根目录下执行相关命令或通过 AI 对话触发分析任务。
npx skills add https://github.com/trkbt10/indexion-skills/tree/main/skills/indexion-documentationInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
文档分析——评估覆盖率，通过计划协调检测代码与文档的偏差，使用文档图可视化依赖关系。回答“哪些需要文档？”和“文档是否仍然准确？”
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.