Total 30,777 skills, AI & Machine Learning has 4970 skills
Showing 12 of 4970 skills
Creates multi-agent orchestration workflows for complex tasks. Handles enterprise workflows, operational procedures, and custom orchestration patterns. Use when user needs to automate multi-phase processes with agent coordination.
Chain-of-Verification (CoVe) prompting system. Converts lazy prompts into rigorous 4-stage verified output. Use for any code generation, debugging, or implementation task. Automatically invoked by wavybaby for medium/high complexity tasks. Reduces hallucinations and catches subtle bugs.
【WHEN】Activate when the user's command explicitly includes instructions such as "codex collaboration", "codex coordination", "work with codex", etc.; 【WHEN】Activate when the user requests to use the codex MCP tool for collaborative development scenarios such as code analysis, prototype generation, review, etc. 【WHEN NOT】Not applicable for standalone code implementation tasks, pure document writing, or regular development processes that do not involve codex.
Meta-skill for analyzing PRs, issues, and user interactions to improve Cursor rules and skills automatically
Best practices for scikit-learn machine learning, model development, evaluation, and deployment in Python
Install, discover, remove, and update agent skills using the npx skills CLI. Use when asked to install a skill, add a skill from a repo, find or search for skills, list installed skills, remove or uninstall a skill, update skills, or check for updates. Triggers on: "install X skill", "add the Y skill", "find skills for Z", "what skills are available", "remove skill", "update my skills", "check for skill updates", "search for a skill that does X".
Enable agents to use the Clawhub CLI (clawbub) to install, import, publish, and manage AgentSkills. Use when an agent needs to interact with Clawhub from the command line for skill development, publishing, or syncing.
Based on the Recursive Language Models (RLM) research by Zhang, Kraska, and Khattab (2025), this skill provides strategies for handling tasks that exceed comfortable context limits through programmatic decomposition and recursive self-invocation. Triggers on phrases like "analyze all files", "process this large document", "aggregate information from", "search across the codebase", or tasks involving 10+ files or 50k+ tokens.
Discover, create, and validate headless adapters for agent integration. Includes scaffolding tools and schema-driven compliance testing.
Agent skill for swarm - invoke with $agent-swarm
Agent skill for gossip-coordinator - invoke with $agent-gossip-coordinator
Multi-agent swarm coordination for complex tasks. Uses hierarchical topology with specialized agents to break down and execute complex work across multiple files and modules. Use when: 3+ files need changes, new feature implementation, cross-module refactoring, API changes with tests, security-related changes, performance optimization across codebase, database schema changes. Skip when: single file edits, simple bug fixes (1-2 lines), documentation updates, configuration changes, quick exploration.