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Found 402 Skills
MUST USE this skill for ANY sandbox request — including simply getting a sandbox's details, status, license type, or pending-activation state by name or ID. TRIGGER when the user: types "sandbox -help"/"sandbox help"; mentions a sandbox ID (07E prefix); asks to list or show sandboxes; asks for the details, status, license type, or config of a sandbox by name or ID; activates or discards a completed refresh; deletes a sandbox; verifies activation or deletion; creates or refreshes a sandbox. DO NOT TRIGGER when: the user wants to clone a sandbox.
GitHub 公式ドキュメント リファレンス。 REST API、GraphQL API、GitHub Actions (workflow, jobs, steps, expressions)、 Webhooks、GitHub Apps、gh CLI、認証 (PAT / GITHUB_TOKEN / OAuth Apps)、 pull requests, issues, projects (Projects v2), releases, Codespaces, Packages, Copilot API, security (code scanning / secret scanning / Dependabot), activity (events / notifications)。
API versioning strategies for ASP.NET Core. Covers Asp.Versioning library, URL segment, header, and query string strategies, version deprecation, and OpenAPI integration. Load this skill when adding versioning to an API, evolving an API with breaking changes, or when the user mentions "API version", "versioning", "v1/v2", "Asp.Versioning", "deprecation", "breaking change", or "backward compatibility".
Use when the user explicitly asks for the Inngest REST API v2, raw HTTP, OpenAPI, API docs, API authentication, or an endpoint that the Inngest CLI does not expose. Covers api-docs.inngest.com, llms.txt, the OpenAPI v2 spec, Bearer authentication with API keys or signing keys, production and local base URLs, raw curl/fetch requests, request-shape discovery, pagination, secret redaction, and when to prefer the `inngest-api-cli` skill instead.
Train and deploy a TinyML model for the XIAO ESP32S3 (Sense) using the Edge Impulse REST API only — no edge-impulse-cli needed (its serialport dep fails to build on modern Node/Windows). Covers: dataset upload, impulse creation (audio MFCC / vision transfer-learning), training jobs, downloading the Arduino library, and the on-device fixes required to actually run it on the ESP32-S3. Use this skill whenever the user wants to train/retrain a model ("재훈련", "edge impulse", "TinyML 훈련", "모델 배포"), upload a dataset to Edge Impulse, or gets EI Arduino-library build/runtime errors (mel filterbank, objs.a, tensor arena, EI_MAX_OVERFLOW_BUFFER_COUNT).
Patterns and structure for writing API reference documentation including endpoint descriptions, request/response schemas, and error documentation.