Use when adding or changing a Go HTTP endpoint — Fiber v2 or v3 (detect which), thin handlers, central error mapping, boundary validation; the same rules apply to net/http, chi, echo or gin
日本語の概要は準備中です。原文の説明を表示しています。
1,283 件 ・ 関連度順
概要と使いどころ
Use when adding or changing a Go HTTP endpoint — Fiber v2 or v3 (detect which), thin handlers, central error mapping, boundary validation; the same rules apply to net/http, chi, echo or gin
日本語の概要は準備中です。原文の説明を表示しています。
Use when you add or change any HTTP endpoint's request or response shape (Go or Java) — implement the task's contract exactly, evolve additively, keep the OpenAPI document in sync, and detect breaking changes before hand-off
日本語の概要は準備中です。原文の説明を表示しています。
Use when you design or change an endpoint's errors, status codes, pagination, idempotency or concurrency behaviour — one error shape, the status-code table, bounded lists, safe retries
日本語の概要は準備中です。原文の説明を表示しています。
Design REST/GraphQL APIs with OpenAPI 3.1, error handling, pagination, rate limiting, webhooks, and idempotency. Use when user asks to design an API, create endpoints, define REST/GraphQL schema, or generate OpenAPI spec. Do NOT use for database schema design, frontend API integration, or non-HTTP protocols (gRPC, WebSocket, MQTT).
日本語の概要は準備中です。原文の説明を表示しています。
Sub-skill: Implement DNS-AID records so agents discover endpoints through DNS. Use SVCB/HTTPS records under _agents namespace with alpn and connection parameters.
日本語の概要は準備中です。原文の説明を表示しています。
Generate, validate, and explain `auth.md` files — the open protocol for AI agent registration. Use when making apps agent-ready, generating Protected Resource Metadata (RFC 9728), validating auth.md files, or implementing agent registration endpoints. Triggers on "auth.md", "agent registration", "agent auth", "make my app agent-ready", "ID-JAG", "identity_assertion", "service_auth", "protected resource metadata", "agentic registration".
日本語の概要は準備中です。原文の説明を表示しています。
Sub-skill: Implement MPP Payment Discovery. Publish OpenAPI with x-payment-info extensions so AI agents discover payable endpoints via Machine Payment Protocol (mpp.dev).
日本語の概要は準備中です。原文の説明を表示しています。
Sub-skill: Implement Auth.md for agent registration discovery. Serve /auth.md with OAuth metadata at /.well-known/oauth-protected-resource and authorization server endpoints.
日本語の概要は準備中です。原文の説明を表示しています。
Design RPC-style APIs with layered architecture (Controller → Manager → Repository). Use when creating new API endpoints, designing API contracts, or reviewing API patterns.
日本語の概要は準備中です。原文の説明を表示しています。
This skill should be used when the user asks to "use bilibili API", "download bilibili video", "get bilibili user info", "list bilibili favorites", "send bilibili danmaku", "upload video to bilibili", "monitor bilibili live room", "search bilibili", "get bilibili comments", or needs guidance on the bilibili_api Python library usage, authentication, API endpoints, or workflow patterns.
日本語の概要は準備中です。原文の説明を表示しています。
Scaffold-time observability so a shipped product is not blind in prod from day one — error capture (Sentry), request-id structured logging, and /healthz + /readyz endpoints. stack-baseline pins Sentry but nothing wires it; this is the wiring. Loaded by app-scaffolder (bake into the scaffold), infra-provisioner (prod env + probes), and consumed by l3-support (traces) and devops (deploy gate).
日本語の概要は準備中です。原文の説明を表示しています。
Compact reference for the Hyperliquid API as the desk uses it - endpoints and envelopes, every /info request type, every /exchange action with its signing scheme, order and status vocabularies, asset ids, tick and lot rules, rate limits, WebSocket subscription list, error strings, and where the official docs are. Use to look up an exact field, request type or limit before writing a call, and to map an error string to its cause.
日本語の概要は準備中です。原文の説明を表示しています。
Index a code repository into Cognee's code graph and query it deterministically (callers, impact analysis, paths, endpoints). Use for structural code questions, "index this repo", and checking what a re-index changed.
日本語の概要は準備中です。原文の説明を表示しています。
Use when indexing a code repository into Cognee's code graph or querying it (callers, impact analysis, paths, endpoints) from Codex.
日本語の概要は準備中です。原文の説明を表示しています。
Use when indexing a code repository into Cognee's code graph or querying it (callers, impact analysis, paths, endpoints) from Antigravity.
日本語の概要は準備中です。原文の説明を表示しています。
Chooses DPO, GRPO/RLVR, reward models, and over-optimization controls. Use when adapting a pretrained or SFT model with preference or verifiable reward signals.
日本語の概要は準備中です。原文の説明を表示しています。
Optimizing frontend (re-render, memoization, lazy loading) and backend (N+1, indexing, caching, async) performance, plus continuous auto-tuning loops for GC/threadpool/cache/worker settings.
日本語の概要は準備中です。原文の説明を表示しています。
Guides stable API and interface design. Use when designing APIs, module boundaries, or any public interface. Use when creating REST or GraphQL endpoints, defining type contracts between modules, or establishing boundaries between frontend and backend.
日本語の概要は準備中です。原文の説明を表示しています。
How to reach the platform REST API — where prod and dev live, where the API token is (.env), how to authenticate with curl, and how to fetch the OpenAPI spec listing every endpoint. Use whenever you need to read or edit course/homework/project/registration data, or inspect real prod data while debugging.
日本語の概要は準備中です。原文の説明を表示しています。
Skill for developing REST API endpoints in internal/server/. Covers routing, request validation, WebSocket streaming, and API conventions.
日本語の概要は準備中です。原文の説明を表示しています。
Conservative review of end-user legal exposure from diagnostics targets and probe hosts, by jurisdiction. Use when shipping or editing diagnostics target lists, probe hosts, or bootstrap endpoints.
日本語の概要は準備中です。原文の説明を表示しています。
Survey documentation coverage across an API or SDK — find undocumented endpoints and gaps. Use when asked "what is undocumented", "find docs coverage gaps", or "survey our API documentation".
日本語の概要は準備中です。原文の説明を表示しています。
Build an ML pipeline — from data to trained model to serving endpoint. Use when asked to "build ML model", "train a model", "prediction pipeline", "classification", or "regression".
日本語の概要は準備中です。原文の説明を表示しています。
Configures integration tests with WebApplicationFactory and Testcontainers. Provides test database setup, authentication helpers, and utilities for testing API endpoints with real dependencies.
日本語の概要は準備中です。原文の説明を表示しています。