AI-Fication Kit: A Simple & Elegant Way for Making any Codebase AI-native through Scaffolded, Human-verified Context and Development Loop.
This repository also configures its own agents. See what ai-fication-kit tells them →
Skill Claude CodeCodex
Add a feature to this repository the safe way — spec, locate via maps, respect Stability, surgical implementation, verification, knowledge update. Use whenever the user asks to add, build, or implement functionality.
Skill Claude CodeCodex
Bootstrap the ai/ knowledge layer for a repo that has none — draft the MODULEMAP, diagrams, and guide docs as [inferred] for a human to audit, touching no source code. Use when the maps are still placeholders or the user asks to cold-start, bootstrap, or onboard a repository.
Skill Claude CodeCodex
Perform a deep test of the codebase, validating functional smoke tests, claim verification, drift checks, license headers, and placeholder checks. Trigger whenever the user asks to run deep tests, check code health, or perform strict verification.
Skill Claude CodeCodex
Fix a bug in this repository the safe way — reproduce first, failing regression test, root cause via the maps, surgical fix, review, ledger entry. Use whenever the user reports broken, wrong, or crashing behavior.
Skill Claude CodeCodex
Review a completed change against its authorizing spec in fresh context — evidence-based checks, severity-ranked findings, and a written verdict for the human's merge decision. Use when a diff needs reviewing before merge, or when add-feature / fix-bug / implement-spec reaches its review gate.
Skill Claude Code
Deep, judgement-based adversarial code audit — hunts for stale cross-references, unescaped interpolation, platform gaps, generated-file ownership conflicts, and cross-module consistency rot that no mechanical check can catch. Read-only; writes a dated findings report.
Skill Claude Code
Kit-maintainer diagnostic (LOCAL-ONLY, not distributed) that audits the README and docs/ for staleness against the repo's real command/skill/CLI roster, stamped tree, and cross-doc consistency. Read-only; produces a severity-ranked findings report.
Skill Claude Code
Run verification and drift checks on the AI knowledge-base to identify missing documentation or stale references.
Skill Claude Code
Deep-mine the source code to discover implemented features; writes ai/analysis/FEATURECATALOG.md.
Skill Claude Code
Implement a spec from ai/lab/specs/ exactly as written — zero design decisions, stop-and-report on any spec-vs-reality conflict, tests are the definition of done. Built for lighter implementation models.
Skill Claude Code
Dry-run the add-feature workflow for a proposed feature — friction report and per-phase readiness score, without writing code.
Skill Claude Code
Audit every ai/ file for gaps, stale placeholders, and inconsistencies after cold-start. Produces a prioritized findings report.
Skill Claude Code
Diagnostic gate that checks CLAUDE.md and AGENTS.md for completeness, consistency, and stale artifacts — run right after /cold-start and before /add-feature. Read-only; produces a findings report.
Skill Claude Code
Holistic assessment of the AI knowledge layer on a 5-level maturity scale; flags agent-blocking gaps.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: