Total 51,120 skills
Showing 12 of 51120 skills
Swap a face / character into video or images on RunComfy via the `runcomfy` CLI. Routes across community Wan 2-2 Animate (audio-driven character animation + identity swap), GPT Image 2 Edit (single-shot precise face swap on still images via reference composition), Nano Banana Edit (batch identity-preserving swap), Flux Kontext (single-ref high-fidelity local face edit), and Kling 2-6 Motion Control Pro (transfer motion from one performance onto a target character). Picks the right model for the user's actual intent — single still vs video, full character vs face only, dialog scene vs silent motion. Triggers on "face swap", "swap face", "deepfake", "face replacement", "character swap", "head swap", "put X's face on Y", "make this video star X", "replace the actor in this video", "swap the character in the photo", "deepfake video", "ReActor alternative", or any explicit ask to substitute one identity for another.
Use when the user says "/plan-review", "plan review", or "PRD review" and provides a plan file path that needs critical review and iterative refinement with Codex.
Docker containerization best practices and patterns
Search and manage Alma's memory and conversation history. Use when the user asks about past conversations, personal facts, preferences, or anything that requires recalling information ("do you know my...", "we talked about before...", "do you remember...", "help me find what we said about..."). Also used to store new memories and search through archived chat threads.
This skill should be used when the user asks to "build an MCP server", "create an MCP tool", "expose resources with MCP", "write an MCP client", or needs guidance on the Model Context Protocol Python SDK best practices, transports, server primitives, or LLM context integration.
This skill should be used when the user asks to "scan Python code for security issues", "set up Bandit", "configure bandit security linting", "fix bandit warnings", or needs guidance on Python static security analysis with Bandit.
Create, update, refactor, explain, or review Semantic Kernel solutions using shared guidance plus language-specific references for .NET and Python.
Transform vague intent or incomplete requirements into validated, testable requirements through diagnostic state progression and structured dialogue. Use when user has an idea, feature request, problem statement, or existing requirements document that needs clarification or validation before design or implementation.
Use this skill when translating Figma designs to code, interpreting design specs, matching visual fidelity, or bridging designer-developer handoff. Triggers on Figma implementation, design-to-code, pixel-perfect, design handoff, auto layout to flexbox, Figma tokens, component variants to props, and any task requiring faithful implementation of design mockups.
Agent skill for multi-repo-swarm - invoke with $agent-multi-repo-swarm
Make raw authenticated HTTP requests to any Glean REST API endpoint. Use when no dedicated command exists or for advanced API access.
List, inspect, and run Glean AI agents. Use when discovering available agents, viewing agent schemas, or invoking agents programmatically.