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.
MCP server + SDK for AI agents to play Baselings — a yield-generating pet game on Base chain
Provide scripts to monitor and maintain OpenClaw services, ensuring stability through health checks, automatic restarts, and log cleanup.
SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.
A structured-reasoning skill for AI agents. 5-stage loop (Observation -> Hypothesis -> Evidence -> Conclusion -> Verification) with weakest-link confidence, 2-axis severity, and cognitive bias check. See SKILL.md for the methodology.
An agent skills marketplace from Narrative I/O — interactive, AI-powered slash-command workflows for the recurring work of a modern data company (NQL, Rosetta Stone mappings, identity graphs, and more). Follows the Agent Skills spec.
Academic literature discovery as a Skill — Claude Code · Codex · any agent that loads SKILL.md. Five sources · four tiers · single-file Shadcn report.