AI Engineering

Auth Security covers OAuth 2.1 and JWT best practices for implementing login, API authorization, and token handling. Use it for PKCE flows, token rotation, secure storage, and JWT verification.

Brainstorming turns rough ideas into clearer designs through sequential questions and trade-off analysis. Use it when exploring features, architecture, or other open-ended decisions, not for mechanical implementation tasks.

Capability Distill extracts non-obvious judgment rules from approved strong-model interviews or real task traces into an auditable judgment packet. Use it when you want to preserve key decisions, not when you are just writing process docs or a SKILL.md from scratch.

CLIProxyAPI NewAPI Metering Stack adds a NewAPI billing, rate-limit, and token layer on top of an already verified CLIProxyAPI upstream. Use it to deploy the NewAPI container, bridge container networking, set model pricing, hot-load OAuth credentials, and verify quota accounting.

Codex runs OpenAI Codex CLI for code analysis, refactoring, and automated local edits. Use it when you want to inspect a codebase, make workspace changes, or resume an existing Codex session.

Codex Retrospective reviews recent session history to find repeated friction and propose minimal AGENTS.md updates or tiny reusable skills. Use it after recurring mistakes or on a weekly or monthly retrospective.

RAG Check First requires a local knowledge search before answering technical questions, code requests, or team-specific factual claims. Use it to ground responses in indexed docs, ADRs, runbooks, and prior work.

Rag Cite Sources requires every technical claim drawn from the local corpus to include an inline path:line or path:section citation. Use it when answers quote, paraphrase, or act on information retrieved with search_knowledge or get_document.

RAG Code Review consults related ADRs, standards, similar files, and prior incidents before commenting on a code change. Use it for PR reviews or any critique of a diff so feedback is grounded in the team’s own decisions.

Rag Deep Dive runs a three-step retrieval workflow: search the corpus, read the top document in full, then find similar documents. Use it for end-to-end or pattern questions that need more than a short snippet.

RAG Evaluate Quality measures retrieval performance with MRR@5, Recall@5, Precision@5, and index health stats. Use it weekly, after reindexing, or when answer quality seems to drop.

RAG Index Decisions prompts you to turn important architectural choices, bug fixes, and team conventions into indexed documents. Use it when a conclusion should be searchable the next time the same issue comes up.