Total 50,553 skills, AI & Machine Learning has 8484 skills
Showing 12 of 8484 skills
Goal-Oriented Action Planning (GOAP) specialist that dynamically creates intelligent plans to achieve complex objectives. Use for multi-step tasks with dependencies, adaptive replanning, complex deployment workflows, or when a high-level goal needs systematic breakdown into achievable actions.
Load PROACTIVELY when task involves building a complete feature across multiple layers. Use when user says "build a feature", "add user profiles", "create a dashboard", or any request spanning database, API, UI, and tests. Orchestrates multi-agent work sequentially: schema and migrations, API endpoints, UI components, tests, and review. Handles dependency ordering and cross-layer type sharing.
Process images using object detection, classification, and segmentation. Use when requesting "analyze image", "object detection", "image classification", or "computer vision". Trigger with relevant phrases based on skill purpose.
Create, repair, maintain, and consolidate skills. This skill should be used when users want to create new skills, fix broken skills that won't load, diagnose skill system issues, maintain skill health, or consolidate duplicate/obsolete skills. Automatically detects and repairs common skill loading problems including missing registry entries, metadata format issues, and structural problems. Provides comprehensive skill ecosystem management including duplicate detection, merge workflows, and archival processes.
Mine coding agent logs (Codex/Cursor/session histories and similar telemetry) to discover high-value candidate skills, then draft structured skill creation/reuse recommendations.
Execute rapid attention shifts between cognitive focus points.
Example skill template. Replace this description with keywords and triggers for your actual skill. This description determines when the skill auto-loads based on conversation context.
This skill should be used when users want to validate or critique an argument by extracting premises, surfacing hidden assumptions, checking logical validity, optionally formalizing in Lean, and researching premise support.
Search and analyze Reddit content using semantic AI search via reddit-insights.com MCP server. Use when you need to: (1) Find user pain points and frustrations for product ideas, (2) Discover niche markets or underserved needs, (3) Research what people really think about products/topics, (4) Find content inspiration from real discussions, (5) Analyze sentiment and trends on Reddit, (6) Validate business ideas with real user feedback. Triggers: reddit search, find pain points, market research, user feedback, what do people think about, reddit trends, niche discovery, product validation.
Deep dive into complex Deepgram migrations and provider transitions. Use when migrating from other transcription providers, planning large-scale migrations, or implementing phased rollout strategies. Trigger with phrases like "deepgram migration", "switch to deepgram", "migrate transcription", "deepgram from AWS", "deepgram from Google".
Runs .continue/agents checks locally against the current diff, simulating the GitHub PR checks experience. Use when the user says /check to review their changes before pushing.
Design and build websites using AI coding agents with static site generators. Covers Astro-first workflow, iterative visual refinement via browser feedback, skill-enhanced prompting (frontend-design, copywriting), animations, and high-bar polish loops. Use when building a website with an AI agent, designing landing pages, or iterating on web design with LLM assistance.