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ai-fication-kit
ai-fication-kit contains 18 collected skills from kunalsuri, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Bootstrap the ai/ knowledge layer for a repo that has none — draft the MODULE_MAP, 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.
Bootstrap the ai/ knowledge layer for a repo that has none — draft the MODULE_MAP, 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.
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.
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.
Run verification and drift checks on the AI knowledge-base to identify missing documentation or stale references.
Deep-mine the source code to discover implemented features; writes ai/analysis/FEATURE_CATALOG.md.
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.
Dry-run the add-feature workflow for a proposed feature — friction report and per-phase readiness score, without writing code.
Audit every ai/ file for gaps, stale placeholders, and inconsistencies after cold-start. Produces a prioritized findings report.
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.
Holistic assessment of the AI knowledge layer on a 5-level maturity scale; flags agent-blocking gaps.
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.
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.
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.
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.
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.
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.
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.