Total 50,908 skills, AI & Machine Learning has 8525 skills
Showing 12 of 8525 skills
Design memory hierarchy with progressive loading for optimal context management. Use when organizing CLAUDE.md imports, implementing just-in-time context loading, or designing priming hierarchies for agents.
Query and update Lee's goals graph through natural language. Translates conversational questions and updates into goals_query.py commands.
Analyzes and processes images using Claude's vision capabilities. Supports OCR, image classification, diagram comparison, chart analysis, visual Q&A, and more. Use when users need to understand, extract, or analyze visual content.
Model Registry Manager - Auto-activating skill for ML Deployment. Triggers on: model registry manager, model registry manager Part of the ML Deployment skill category.
Configure Mistral AI across development, staging, and production environments. Use when setting up multi-environment deployments, configuring per-environment secrets, or implementing environment-specific Mistral AI configurations. Trigger with phrases like "mistral environments", "mistral staging", "mistral dev prod", "mistral environment setup", "mistral config by env".
Execute AI image generation with optimal quality. Use when you need to generate images via Replicate API. Triggers on: generate image, create visual, product shot. Outputs generated images for feedback and iteration.
Main orchestrator for autonomous coding operations. Use when running autonomous sessions, coordinating components, managing the full lifecycle, or orchestrating implementations.
Highest level of research and reasoning capabilities for complex decision-making with significant consequences, strategic planning, technical architecture decisions, multi-stakeholder problems, or high-complexity troubleshooting requiring expert-level judgment and sophisticated reasoning chains. Prioritizes actively maintained repositories and validates website sources for 2025 relevance.
Creates new skills for the Antigravity agent environment. Use when the user asks to create a skill, build a skill, or generate a skill structure.
Audit, restructure, and maintain the full Claude Code memory hierarchy: CLAUDE.md files, .claude/rules/ topic files, auto-memory, and project documentation. Detects project type and suggests appropriate docs. Use when CLAUDE.md needs updating, memory needs restructuring, or a project needs its docs audited. Trigger with 'audit memory', 'update CLAUDE.md', 'restructure memory', 'session capture', 'memory cleanup', 'check project docs', or 'what docs does this project need'.
Set up Claude Code context for a project. Analyzes tech stack, installs relevant skills from skills.sh, generates custom skills, and configures MCP servers. Use when starting new project, setting up AI context, or asking "set up project", "configure AI", "what skills do I need".
Implement LangChain rate limiting and backoff strategies. Use when handling API quotas, implementing retry logic, or optimizing request throughput for LLM providers. Trigger with phrases like "langchain rate limit", "langchain throttling", "langchain backoff", "langchain retry", "API quota".