Total 58,125 skills, AI & Machine Learning has 9662 skills
Showing 12 of 9662 skills
Deep generative models for single-cell omics. Use when you need probabilistic batch correction (scVI), transfer learning, differential expression with uncertainty, or multi-modal integration (TOTALVI, MultiVI). Best for advanced modeling, batch effects, multimodal data. For standard analysis pipelines use scanpy.
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Iterate on RAG systems with structured evals instead of eyeballing. This skill should be used when the user is tuning a RAG pipeline — changing retrieval prompts, swapping models, adjusting chunking, or debugging poor answers — and wants a cheap, ranked set of experiments with cost tracking and structured feedback on the stack. Also use when the user asks "how do I know if my RAG is working?", "this RAG eval is burning money", or "what should I try next on retrieval?".
Configure which models pstack uses per role. Detects your available models and writes an always-applied rule that overrides the skill defaults. Use for /setup-pstack, "configure pstack models", or changing pstack's model choices.
Instagram integration for AI agents via ClawLink — browser login, no API key setup. Connect Instagram through ClawLink's hosted setup to publish content, manage comments, get insights, and handle messaging from your Instagram Business account. Use this skill when the user wants to work with Instagram (Social Media) — connect Instagram, read or update Instagram data, or take actions in Instagram from chat instead of saying you cannot access it.
Discover feature areas in the current repository that are not yet documented under the agent docs `features/` tree (scaffolded by `setup-agentic-repository` — `agents-docs/features/` by default, or wherever `--docs-dir` put it), then create populated feature docs from the canonical template. Use whenever the user wants to find undocumented features, fill out `features/`, catch up on missing feature documentation, document feature X/Y/Z, or mentions "find features". This is the natural follow-up to `setup-agentic-repository`, which scaffolds the empty `features/` tree this skill populates.
Transform product photos via Picsart gen-ai — six modes.
Manages agent isolation levels and resource boundaries. Configures strict, moderate, and permissive isolation profiles. Activate on 'isolation level', 'agent isolation', 'resource boundaries', 'sandboxing', 'agent containment'. NOT for permission validation (use dag-permission-validator) or runtime enforcement (use dag-scope-enforcer).
Generates non-obvious ideas using Verbalized Sampling (VS-CoT). Use when the user needs to brainstorm novel solutions, avoid stereotypical patterns, or write creatively.
Create and manage sandboxed WASM agents for isolated code execution
Generate UGC-style (User Generated Content) lifestyle photos of a person wearing or using your product — authentic, relatable, social-media-native imagery.
Create a high-end cinematic product video advertisement starting from a simple product photo.