Total 50,487 skills, AI & Machine Learning has 8477 skills
Showing 12 of 8477 skills
Build Model Context Protocol (MCP) servers and tools from scratch. Full-stack MCP development with TypeScript/Python, testing, deployment, and registry publishing.
Create New Skill - scaffolds a skill definition following Claude Code conventions and this repository's patterns. Use when adding a new skill.
Implement Tasks - executes tasks from the tasks document using subagents. Use when ready to start coding a feature.
Professional AI video script and storyboard generator for the Seedance 2.0 platform. It is used when users request: (1) converting articles/stories into video scripts, (2) generating Seedance 2.0 storyboard prompts, (3) planning multi-episode AI video series, (4) creating character/scene/prop generation prompts for image models such as Nana Banana Pro. Inputs can be complete novels, articles, or short story outlines. Outputs include full scripts in standard script format (△ shot description + dialogue + OS/VO + flashback + subtitles), episode breakdowns, asset generation prompts, and storyboard scripts in Seedance 2.0 format.
Use ktx to build a self-improving context layer that teaches AI agents how to query data warehouses accurately with approved metrics, semantic layers, and business knowledge
Hand off the current task to another agent with full context. Use when the user says "handoff", "hand off", "hand this to", or wants to pass work to another agent (Codex or Claude).
List available large language models and send chat completion requests programmatically. Use this skill when you need to call an LLM within a snippet, including model comparison, visual understanding, batch inference, and model performance testing.
Use when executing or continuing a spec plan interactively. Triggers on: "spec go", "execute plan", "run plan", "continue plan", "work on plan", "start plan", "run the spec". Runs tasks with configurable breakpoints for review. Pass --bg for fully autonomous background execution.
Use when researching technical approaches before building. Triggers on: "explore options", "what are my options for", "research approaches", "compare solutions", "dev explore", "generate proposals", "help me decide between". Runs parallel proposal generation via subagents and outputs to .codevoyant/explore/.
Creates comprehensive implementation plans with exact file paths, complete code examples, and verification steps for engineers with zero codebase context.
Mandatory orchestrator protocol - establishes ORCHESTRATOR principle (dispatch agents, don't operate directly) and skill discovery workflow for every conversation.
Concurrent investigation pattern - dispatches multiple AI agents to investigate and fix independent problems simultaneously.