trkbt10/indexion-documentation
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?"
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?"
npx skills add https://github.com/trkbt10/indexion-skills/tree/main/skills/indexion-documentationDocumentation 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?"
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.
12 codex-grade PM skills (1,000–1,300 lines each) for senior PMs, founders, and AI agents. AGENTS.md, MCP server, plugin marketplaces.
Interprets Culture Index (CI) surveys, behavioral profiles, and personality assessment data. Supports individual profile interpretation, team composition analysis (gas/brake/glue), burnout detection, profile comparison, hiring profiles, manager coaching, interview transcript analysis for trait prediction, candidate debrief, onboarding planning, and conflict mediation. Accepts extracted JSON or PDF input via OpenCV extraction script.
Sprint autopilot for BMad Method — drives stories from plan to PR-ready code with git worktrees, commits, and stacked PRs. Plus 7 multi-agent skills: code review, codebase mapping, tech-debt assessment, reverse-architecture, migration planning, research, and multi-persona debate.
Claude Code skill: LLM Wiki knowledge base (Karpathy pattern)
AI Agent Skill Intelligent Discovery & Security Verification Platform - Cross-platform skill indexing, explainable recommendation, and triple security audit for fragmented Agent skill ecosystems.
Post-GWAS analysis skills for AI coding agents: MR, colocalization, TWAS, and more