Total 50,523 skills, AI & Machine Learning has 8481 skills
Showing 12 of 8481 skills
Use when any Maestro command is invoked — provides foundational workflow design principles across prompt engineering, context management, tool orchestration, agent architecture, feedback loops, knowledge systems, and guardrails.
Use when starting a new project, adding a new agent to an existing system, or setting up workflow infrastructure from scratch.
Score, evaluate, and iteratively improve any content or strategy using an auto-assembled panel of domain experts. Handles copy, sequences, landing pages, strategy docs, titles, charts, recruiting evaluations, or anything else that needs a quality gate. Recursively iterates until all scores hit 90+ (max 3 rounds). Use when asked to: "expert panel this", "score this", "rate these variants", "quality check this", "panel review", "which version is better", "expert score", "evaluate this copy/strategy/page", or when another skill needs a quality gate on its output. Also triggers on: "score this landing page", "expert panel these email variants", "rate this headline", "panel these charts".
PokeClaw (PocketClaw) — on-device Android AI phone agent using Gemma 4 via LiteRT-LM with tool calling, accessibility automation, and optional cloud models.
Exit copilot mode — return to autonomous mode with full worktree enforcement.
Cohere integration. Manage Documents, Models, Datasets, Jobs. Use when the user wants to interact with Cohere data.
2-layer parallel agent hierarchy. Layer 1 deploys 3-50+ agents, each with independent context. Layer 2 adds 2+ sub-agents per member. No upper limit on either layer.
Generate and edit images using Google's Gemini image models (Nano Banana 2 default, Nano Banana Pro legacy). Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports text-to-image, image editing with up to 14 reference images, configurable resolution (0.5K-4K), aspect ratio, and adjustable thinking. DO NOT read the image file first - use this skill directly with the --input-image parameter.
Validate, audit, and fix agent skills for agentskills.io spec compliance. Use when creating a new skill structure, auditing an existing skill against the specification, fixing common spec deviations, or reviewing frontmatter, directory layout, progressive disclosure, or script interfaces. Triggers on "validate skill", "audit skill", "spec compliance", "fix skill structure", "skill frontmatter", "SKILL.md format", or "agent skills spec".
Scaffold a loop directory for automated agent task execution. Use when asked to "create a task loop", "set up a loop", "scaffold a loop directory", "prepare tasks for rl", or "set up automated execution" for a backlog. Takes an existing backlog and generates PROMPT.md (loop contract), run-log.md (execution history), and .gitignore for ephemeral loop-state.md.
Generate AI avatars from photos or text descriptions using each::sense. Create professional headshots, cartoon avatars, 3D characters, fantasy personas, gaming avatars, and consistent character designs for various platforms.
Surface Claude s assumptions about a phase approach before planning