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Found 1,260 Skills
Use when an agent is asked to define, review, or write acceptance criteria for a request or plan. Derives acceptance criteria from the current request context, confirms them with the user, and writes them into the plan file or a standalone acceptance_criteria.md file.
Use when decisions could affect groups differently and need to anticipate harms/benefits, assess fairness and safety concerns, identify vulnerable populations, propose risk mitigations, define monitoring metrics, or when user mentions ethical review, impact assessment, differential harm, safety analysis, vulnerable groups, bias audit, or responsible AI/tech.
A reference library of 45+ visual ad formats for Meta and paid social, each with a definition, funnel stage guidance, and medium (video/static/both). Use this whenever choosing how an ad should look and feel, building out a creative concept, writing a creative brief, or deciding which format best serves a messaging angle and awareness stage. Trigger when the user asks "what format should this be," "how should we execute this," "give me concept ideas," or any time a creative concept needs a production structure. Always pair with creative-mechanics to fully flesh out the concept — format defines the vessel, mechanic defines the cognitive move inside it. Either can come first; they work in both directions.
Expert guide for building APIs with the Elysia framework, including routing, validation, plugins, error handling, and type-safe handlers. Use when building APIs with Elysia framework, defining routes, plugins, or type-safe handlers.
Build MCP (Model Context Protocol) servers including tool definition, schema design, authentication, error handling, and Claude Code integration. Use this skill when the user needs to create an MCP server, expose APIs or databases to AI agents, design tool schemas, or integrate with Claude Code — even if they say 'build an MCP server', 'connect Claude to our database', 'expose our API to AI', or 'create a tool for Claude Code'.
Builds a custom lead scoring model for a business. Takes ICP definition, historical win/loss data, CRM export. Analyzes which attributes correlate with closed-won deals. Generates lead-scoring-model.md with scoring dimensions, point values, thresholds, CRM implementation guide, and validation methodology. Can also score a batch of current leads against the model.
Use when writing, reviewing, or committing code to enforce Karpathy's 4 coding principles — surface assumptions before coding, keep it simple, make surgical changes, define verifiable goals. Triggers on "review my diff", "check complexity", "am I overcomplicating this", "karpathy check", "before I commit", or any code quality concern where the LLM might be overcoding.
General Counsel advisory for startups: contract review (MSA, SaaS, NDA, DPA, employment), IP strategy, term sheet decoding, and regulatory landscape mapping. Use when reviewing any contract or term sheet, deciding when to engage outside counsel, defining IP strategy, evaluating regulatory exposure (HIPAA, GDPR, FDA, fintech), or when user mentions general counsel, GC, legal review, contract risk, term sheet, IP assignment, or regulatory exposure. NOT a substitute for licensed counsel — surfaces questions to bring to qualified attorneys.
Answer questions about ArkEnv and help implement environment variable validation. Use when developers: (1) Ask about environment variable validation or typesafety, (2) Want to setup ArkEnv in a project, (3) Need to define or update schemas using ArkType or Standard Schema, (4) Are integrating with Vite, Bun, or other runtimes. Triggers on: 'ArkEnv', 'env validation', 'typesafe env', 'createEnv', 'env.ts', '@arkenv/cli'.
Use when developing academic research ideas, framing research questions, defining scope, novelty, contribution claims, hypotheses, operational definitions, evidence plans, or publishable positioning before SOTA, experiments, or writing.
Redis vector search guidance covering HNSW vs FLAT algorithm choice, vector index configuration (dims, distance metric, datatype), filtered hybrid search combining vector similarity with TAG or NUMERIC filters, and the RAG retrieval pattern with RedisVL. Use when defining a VECTOR field in FT.CREATE, integrating embeddings (OpenAI, Cohere, sentence-transformers), tuning HNSW parameters (M, EF_CONSTRUCTION, EF_RUNTIME), building a retrieval-augmented generation pipeline, or filtering vector results by attribute.
Synthesizes trust boundaries, attack surfaces, and attacker profiles into a living threat model. Use as Stage B of the Knowledge Base generation process, reading architecture and entity definitions from the KB. Don't use for analyzing source code or extracting raw learnings from JSONL files.