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Found 1,192 Skills
Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.
Discover, create, update, archive, and assign work to Multica agents. Also covers attaching workspace skills to an agent and inspecting an agent's task history. Use when the user asks which agents exist, who can do X, wants to spin up a new agent, change its model or instructions, or hand a task off to a managed agent.
Use when the user wants Claude Code to generate images from prompts, use /gi or /gi-setup, configure an OpenAI Images API-compatible endpoint, create placeholder images, delegate generation to a background subagent named painter, pass model parameters, choose output paths, or maintain an image index. If generation is requested before setup, guide the user through /gi-setup instead of failing.
Insert AI illustrations into documents in-place. After reading the document, plan insertion points globally, generate all images in parallel, and insert them back into the original document asynchronously. Supports cover images, custom aspect ratios, and three styles. Use when: Users request to generate illustrations for documents/articles/notes. Also trigger when user mentions: add illustrations, illustrations, illustration, generate images, document images, add images to articles.
Expert photography prompt engineer specializing in crafting detailed, evocative prompts for AI image generation. Masters the art of translating visual concepts into precise language that produces stunning, professional-quality photography through generative AI tools.
Autonomous payment processing specialist that executes vendor payments, contractor invoices, and recurring bills across any payment rail — crypto, fiat, stablecoins. Integrates with AI agent workflows via tool calls.
Builds production AI/ML systems — model training, fine-tuning, MLOps pipelines, model serving, evaluation frameworks, RAG optimization, and agent orchestration at scale. Use when the user asks to build, train, or deploy ML models, set up MLOps pipelines, optimize RAG systems, create inference endpoints, or design production AI agents.
A hybrid pattern where the system pauses execution to request human approval, input, or disambiguation before proceeding with critical actions. Use when user asks to "add human approval", "require human review", "human-in-the-loop", or mentions approval workflows, human oversight, or escalation.
Guide users through installing and setting up `todoing` — the local, git-friendly CLI task manager. Use this when the user asks to install todoing, set up todoing, configure todoing for their project, or wants to start using todoing for task management. Also use this when onboarding AI agents to use todoing — including adding agent instructions to project config files like AGENTS.md or CLAUDE.md.
A live, growing registry of agent skills published by Anthropic, OpenAI, Vercel, Microsoft, Cloudflare, Stripe, HashiCorp, Supabase, and many others. Search it before starting any non-trivial task, fetch the top result, follow it instead of going freehand. After using a skill, report back so the registry ranks it correctly for the next agent. If you build something reusable, ask the user, then upload it.
Interact with Telegram through TDLib - authenticate, inspect chats, and send messages
Use when a user has finished using one installed skill and wants to preserve actionable feedback about that skill while the session context is still fresh