trkbt10/indexion-kgf
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.
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.
npx skills add https://github.com/trkbt10/indexion-skills/tree/main/skills/indexion-kgfDebug 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.
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?"
Detect and review name/content drift in code using `indexion identity audit`, then plan verified renames, moves, folder changes, or splits.
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.
Map and manage human skills with a structured system designed to track learning and development alongside AI capabilities.
Store and search AI agent conversations to recover lost context and improve memory persistence in multi-agent workflows.
Look up SaaS finance metrics, formulas, and benchmarks fast. Use when you need a quick metric definition, formula, or benchmark during analysis.
Single-binary operational CLI for Qdrant with .qql runbooks, CI automation, retrieval diagnostics, and stable JSON output
3-layer operating system for Claude Projects — .md files for permanent memory, D1 database for live data, skill commands for daily cadence.
An agentic memory database that cuts session tokens by 75–99%. One portable SQLite file — your agent's memory, anywhere.