Total 58,640 skills
Showing 12 of 58640 skills
Use when discovering codebase facts, context, patterns, constraints, or unknowns through focused, incremental, read-only investigation without diagnosing a failure or modifying state.
Use when implementing an approved written plan or confirmed coding outcome in an existing repository, including requests to build, add, change, or write code.
Use when reviewing existing code, implementations, pull requests, or named scopes with stack-aware checks and severity-ranked findings, without edits.
Structured XBRL financial facts for a company by CIK: revenue, assets, cash and every other tagged concept as reported. Called as GET /v1/sec/company-facts, it takes cik, concept and returns found, cik, units. An analysis agent needs the number a company actually filed, tagged and dated, rather than a figure recalled from training data that may be a year stale. Reading this schema and dry-running the call are free and need no wallet; a real call costs $0.005, paid in USDC on Base over x402.
Generate CSPRNG bytes from the Web Crypto API, returned as hex, base64 or a UUID. Never Math.random. Called as GET /v1/crypto/random-bytes, it takes bytes, encoding and returns value, encoding. Observed on-chain demand: agents need unguessable nonces, tokens and idempotency keys, and a language runtime without a CSPRNG or a model asked to "pick a random number" both produce predictable output. Reading this schema and dry-running the call are free and need no wallet; a real call costs $0.003, paid in USDC on Base over x402.
Build well-crafted production procedural meshes in Three.js. Use for complete hard-surface assemblies and humanoid robots, profile extrusion, parameter-curve and spine lofts, pillow panels, exact polygon cuts, inset, revolve, sweep, solidify, bevels and fillets, shell thickness, direct-topology apertures, semantic mesh writers, or diagnosing primitive-built forms, coplanar flicker, loose/non-manifold geometry, detached parts, interpenetration, support, clearance, and swept-envelope defects.
Integrates local AI capabilities into applications using Embeddable Lemonade. Use when the user wants to add local AI, offline AI, private AI, on-device AI, a local LLM, local chat, embeddings, image generation, speech-to-text, or text-to-speech to an existing app; replace or supplement OpenAI, Anthropic, Ollama, or other cloud AI APIs with a local backend; only use to convert user apps. Do not use when the user just wants the agent itself to generate images, transcribe, or speak locally in the current workspace, even to cut their own API bill.
Salesforce Data 360 metadata API mastery for production agentic use cases: metadata retrieval, semantic descriptions, field/object documentation, relationship semantics, data graph readiness, prompt/action grounding, and metadata quality scoring. TRIGGER when: the user prepares Data 360 metadata for Agentforce, AI agents, semantic search, dashboards, prompt grounding, or wants metadata descriptions and semantics improved programmatically.
Salesforce Data 360 Connect phase for connectors and connection lifecycle. TRIGGER when: the user works on connectors, connections, connection schema, connection test flows, or source-object discovery.
Expert assistant for VASP (Vienna Ab initio Simulation Package) calculations - input file generation, parameter selection, workflow setup, and best practices for accurate DFT calculations
Critically examine a task specification against the codebase - structure requirements, identify gaps, reuse opportunities and risks, then challenge it with pointed questions and concerns. Use before planning or implementing a task, or whenever a specification needs scrutiny.
Use when planning a topic cluster (hub + spokes) for a new content area. The agent researches the space, identifies the hub topic, maps the spokes, and produces a specific content plan with internal linking strategy.