Review or design an API contract: REST, GraphQL, gRPC, events, webhooks, streaming, or OpenAPI/AsyncAPI. Use when the primary deliverable is an interface contract, compatibility assessment, or API-specific security/resilience guidance. Do not use for whole-system architecture planning, generic code review, database modeling, or implementation debugging.

Use when the user wants to think through ideas, investigate problems, or clarify requirements before or during any SDD path. Triggers: "explore", "think through", "help me figure out", "what should I build", "I'm not sure where to start", "let's brainstorm", "investigate this", "I want to explore".

Use when the user shares an image, chart, diagram, screenshot, or figure and needs it described — for alt-text, accessibility, documentation, or to understand what it depicts.

Use when designing, reviewing, or planning REST or GraphQL APIs — endpoint structure, schema design, versioning, error handling, pagination, URI naming, or choosing between REST and GraphQL. Also triggers for OpenAPI spec creation and API contract review.

Weekly engineering retrospective. Analyzes commit history, work patterns, and code quality metrics with persistent history and trend tracking. Team-aware with per-person contributions, praise, and growth areas. Use when asked for weekly retro, what shipped this week, or engineering retrospective.

Parse build errors, test failures, type-check output, and validation logs into structured data. Use when processing npm/pnpm output, TypeScript errors, Jest failures, or any validation command results for quality gates.

Use when designing an A/B or split test: define the hypothesis, control and variants, estimate sample size, verify tracking, and predeclare metrics and stopping rules.

Use when designing an A/B or split test: define the hypothesis, control and variants, estimate sample size, verify tracking, and predeclare metrics and stopping rules.

Use when writing or reviewing Python code in this repo that calls Deepgram Text-to-Speech v1 (`/v1/speak`) for audio synthesis. Covers one-shot REST (`client.speak.v1.audio.generate`) and streaming WebSocket (`client.speak.v1.connect`). Also covers the in-repo `deepgram.helpers.TextBuilder` for incremental text assembly before synthesis. Use `deepgram-python-voice-agent` when you need full-duplex STT + LLM + TTS with barge-in. Triggers include "TTS", "speak", "synthesize voice", "aura", "text to speech", "speak.v1", "TextBuilder".

Enforce structured JSON logging, OpenTelemetry distributed tracing, and RED metrics across backend services. Use when adding request correlation, setting up tracing spans, defining SLO burn-rate alerts, or instrumenting middleware.

Produces revision sheets with quick navigation by act, a master concept-to-URL table, Q&A cheat-sheet with 6-10 anticipated questions, glossary, and external resources list. Use when preparing for a talk with Q&A, creating shareable reference material for attendees, or building a safety-net glossary for live delivery.

Get current weather and forecasts via wttr.in or Open-Meteo. Use when: user asks about weather, temperature, or forecasts for any location. NOT for: historical weather data, severe weather alerts, or detailed meteorological analysis. No API key needed.

Writes rigorous mathematical proofs for ML/AI theory. Use when asked to prove a theorem, lemma, proposition, or corollary, fill in missing proof steps, formalize a proof sketch, 补全证明, 写证明, 证明某个命题, or determine whether a claimed proof can actually be completed under the stated assumptions.

Propose a new change with all artifacts generated in one step. Use when the user wants to quickly describe what they want to build and get a complete proposal with design, specs, and tasks ready for implementation.

moai-adk-go best-practices reference for the 4 harness specialists (cli-template-specialist, quality-specialist, workflow-specialist, hook-ci-specialist). Covers TRUST 5 gates, Go test isolation (t.TempDir, no OTEL env in parallel tests), hardcoding-prevention rules (env constants in envkeys.go, thresholds in defaults.go), the AskUserQuestion orchestrator-only boundary, the deferred-tool preload rule, the archived-agent rejection contract, and verification-claim integrity. Loaded by the specialists when authoring or reviewing moai-adk-go code.

GitHub-gated token vesting on proofofdev.xyz — lock ANY ERC-20 on Base via API at api.proofofdev.xyz, link GitHub, repo claims. Use for github vesting, lock tokens, vesting progress, link github, proofofdev. NEVER use github-vesting.vercel.app for API.

Discovers and installs community skills from the public registry. Use when the user mentions a technology, framework, or task that could benefit from specialized skills not yet installed, asks 'how do I do X', 'find a skill for X', or starts work in a new technology area. Proactively suggest when the user's task involves tools or frameworks without existing skills.

Discovers and installs community skills from the public registry. Use when the user mentions a technology, framework, or task that could benefit from specialized skills not yet installed, asks 'how do I do X', 'find a skill for X', or starts work in a new technology area. Proactively suggest when the user's task involves tools or frameworks without existing skills.

Pharmacogenomics (PGx) research — drug-gene interactions (CPIC, PharmGKB), CPIC dosing guidelines, variant-drug-response associations, ethnic-allele-frequency considerations, and metabolizer-status scoring. Use for PGx-informed dosing recommendations, CYP/HLA pharmacogenomic allele interpretation, and clinically-actionable PGx report generation.

Protein structure retrieval from RCSB PDB, PDBe, AlphaFold, SWISS-MODEL, 3D-Beacons (cross-provider structure aggregator), and PDB-REDO (re-refined X-ray structures), with disambiguation, quality assessment (resolution, R-factor, pLDDT, coverage), and metadata. Distinguishes high-quality experimental (X-ray under 2 Angstrom) vs predicted vs homology-model vs medium-quality structures. Use for fetching protein structures, structure-quality comparison, batch model-availability checks across a gene list, checking every structure provider at once, and selecting structures for drug design or modeling.