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Found 1,484 Skills
Use this skill to benchmark shell commands reliably with warmup runs, statistical summaries, and exportable artifacts using hyperfine.
Shared Python package for Science Skills, currently containing http_client -- a unified HTTP client with rate limiting, retries, and exponential backoff. Not a standalone agent skill. Do not invoke directly.
This skill should be used when the user asks for a cryptographer, cryptography review, help to choose a cipher (AES-GCM, ChaCha20-Poly1305, ECDH, RSA tradeoffs), key management, PKI design, TLS configuration, protocol security or handshake review, authenticated encryption, digital signature scheme design, post-quantum migration at architecture level, ProVerif or Tamarin modeling concepts, nonce reuse or IV misuse analysis, HKDF vs password hashing (Argon2), HSM or KMS usage patterns, secure randomness, side-channel and constant-time requirements, or cryptographic agility and algorithm deprecation—not general OWASP web app review only (information-security-engineer), secure coding checklists without crypto depth, Solidity or smart contract audits, blockchain wallet tracing, legal export classification, or shipping custom production crypto without design and review gates.
Configure worker RBAC, filtered discovery, FORBIDDEN errors, registration hooks, auth functions, and safe browser/public worker-manager listeners in iii. Use when configuring permissions, tenant isolation, exposed functions, browser-safe worker access, or denied invocation behavior.
Converts Claude skills into ChatGPT Project format (prompt instructions + 1 knowledge file as .docx). Use when user mentions "convert to ChatGPT," "ChatGPT project," "export skill," "GPT instructions," "skill to prompt," or "skill to GPT."
Use when creating or reviewing Kibana assets in packages, including dashboard export structure, naming, and data stream alignment.
Design and review predictable public APIs for TypeScript, JavaScript, React, and React Native libraries. Use when shaping exported functions, classes, hooks, options objects, event and listener APIs, error behavior, naming, cross-platform abstractions, or JS-only packages. Pair with build-nitro-modules when the library is backed by Nitro.
Monocular depth estimation using Metric Depth Anything v2 or Relative Depth Anything architectures. Predicts per-pixel depth from single RGB images. Use when training, evaluating, exporting, or running inference for a TAO monocular depth model. Trigger phrases include "train monocular depth", "DepthAnything v2", "metric depth from single image", "monocular depth estimation".
Router and overview for the Cargo CLI agent skills. Explains the eleven skills (one outcome skill cargo-gtm + ten capability skills), the UUID flow between them, async polling, end-to-end use cases (enrich one record, enrich and sync to CRM, AI lead scoring, custom workflow, error monitoring, fresh-workspace bootstrap, segment export, GTM context authoring), and common gotchas (`conjonction` spelling, run vs batch, model-uuid vs segment-uuid). Load first whenever working with the Cargo CLI, when unsure which sub-skill applies, when stitching multiple sub-skills together, when bootstrapping a workspace, or when the user asks about Cargo skills in general.
Build and deploy an MCP server from an OpenAPI / Swagger spec using the mcp-use TypeScript SDK. Use this skill whenever the user wants to "turn this OpenAPI spec into an MCP server", "make this API usable from Claude/ChatGPT", "wrap this Swagger doc as MCP tools", "expose this REST API to an LLM", "generate MCP tools from a spec", or pastes/attaches an `openapi.yaml`, `openapi.json`, or `swagger.json` and asks for a Claude-compatible version. Trigger even if the user doesn't say "MCP" — if they describe an existing HTTP API (REST endpoints, an internal service, a third-party API they have a key for) and want an LLM to call it, this is the right skill. Covers spec ingestion (file path, URL, or pasted), operation-to-tool mapping, auth wiring (apiKey, bearer, basic, OAuth bearer), scaffolding with `create-mcp-use-app`, tool generation with proper zod schemas, live testing in the mcp-use inspector, and deploying to Manufact / mcp-use cloud.
SegFormer for semantic segmentation. Lightweight transformer-based architecture with hierarchical feature extraction, efficient for real-time segmentation tasks. Use when training, evaluating, exporting, quantizing, or running inference for a TAO SegFormer model. Trigger phrases include "train SegFormer", "semantic segmentation", "lightweight transformer segmenter", "real-time semantic segmentation".
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the `partialPrefetching` flag, opt routes in with `export const prefetch = 'partial'`, audit `<Link prefetch={true}>` calls, or resolve the link-prefetch-partial and instant-shell-url-data insights.