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Found 1,486 Skills
Use when working on Hono projects or adding Hono into a codebase. Enforces Hono architecture rules for app composition, route modules, middleware, validation, error handling, testing, and typed RPC boundaries before any code change.
Build lean, opinionated products using the 37signals philosophy from Getting Real, Rework, and Shape Up. Use when the user mentions "Getting Real", "Rework", "Shape Up", "37signals", "Basecamp method", "six-week cycles", "fixed time variable scope", "appetite vs estimates", "betting table", "breadboarding", "fat marker sketch", "build less", "underdo the competition", or "opinionated software". Also trigger when cutting scope to ship faster, running small teams, avoiding long-term roadmaps, or eliminating meetings. Covers shaping, betting, building, and the art of saying no. For MVP validation, see lean-startup. For design sprints, see design-sprint.
[Pragmatic DDD Architecture] Guide for creating Next.js Server Actions exactly tied to zod, neverthrow, and the domain architecture. Use when creating or editing any file in presentation/actions/. Covers "use server" placement, unknown parameters validated with `zod`, discriminated union response types, auth-first pattern, Value Object validation with TypeScript narrowing, use-case error mapping via `assertNever`, serviceContainer invocation, and revalidation strategy.
PR-backed and current-main optimization manual for `moonshotai/Kimi-K2*` and `moonshotai/Kimi-K2.5*` in SGLang. Use when Codex needs to recover, extend, or audit Kimi optimizations, including K2 router/MoE fast paths, K2 thinking Marlin paths, K2.5 wrapper/multimodal/runtime plumbing, W4AFP8/W4A16 quant tracks, parser contracts, LoRA coverage, and backend-specific validation.
PR-backed and current-main optimization manual for the `MiniMaxAI/MiniMax-M2` series, including M2, M2.1, M2.5, M2.7, and M2.7-highspeed. Use when Codex needs to recover, extend, or audit MiniMax-specific optimizations, TP QK norm/all-reduce behavior, parser contracts, distributed runtime behavior, quantized loading, or backend-specific validation.
Scans code for error handling and resilience issues — swallowed exceptions, missing try/catch on external calls, unhandled promise rejections, missing transactions, validation gaps, retry/timeout omissions, and logging blind spots. Generates severity-scored findings with copy-pasteable fix prompts. Trigger phrases: "error handling check", "exception audit", "resilience check", "try/catch review", "error handling audit".
mParticle platform help — hybrid CDP with real-time event streaming, identity resolution, audience activation, 300+ integrations. Use when mParticle SDK not sending events, identity resolution merging wrong profiles, audience not syncing to destination, connection setup taking too long, Events API returning errors, data plan validation failing, or comparing mParticle pricing tiers. Do NOT use for choosing between CDPs (use /sales-cdp) or CRM data cleanup (use /sales-data-hygiene).
Check whether a design is complete enough to move into implementation planning. Use when a design appears mostly done and needs a final readiness review for missing branches, weak assumptions, unresolved risks, failure handling, validation gaps, or non-functional omissions. Trigger before invoking writing-plans or when the user asks whether the current design is ready to implement. Do not use as a general design-document audit for external docs or as a replacement for initial design work.
GANG orchestrator skill. You are the orch, orchestrating the GANG closed loop — split features / assign peers / collect verdicts / update the board / perform integration validation / report to humans.
End-to-end testing patterns with Playwright for full-stack Python/React applications. Use when writing E2E tests for complete user workflows (login, CRUD, navigation), critical path regression tests, or cross-browser validation. Covers test structure, page object model, selector strategy (data-testid > role > label), wait strategies, auth state reuse, test data management, and CI integration. Does NOT cover unit tests or component tests (use pytest-patterns or react-testing-patterns).
Guide the user through connecting a new data warehouse source — Postgres, MySQL, Stripe, Hubspot, MongoDB, Salesforce, BigQuery, Snowflake, and so on. Use when the user wants to "connect Stripe", "import data from Postgres", "add a new data source", "sync my warehouse tables", or wants to pick sync methods for each table. Walks through source-type discovery, credential validation, table discovery, per-table sync_type selection, and the final create call. Also covers picking a good prefix and what to do right after creation.
Capture the current task into a structured temporary session bundle under `.agents/sessions/` so a learning agent can later distill durable repo knowledge. Use for completed, blocked, or abandoned tasks with meaningful changes, debugging, validation, or reusable lessons.