Loading...
Loading...
Found 4,981 Skills
Creates missing instruction files (CLAUDE.md, AGENTS.md, GEMINI.md), audits token budget, prompt cache safety, cross-agent consistency. Use after setup or when instruction files need alignment.
Guide for Writing and Optimizing AGENTS.md, following the principle of progressive disclosure. This skill must be loaded when users create, modify, or refactor AGENTS.md, discuss AI agent instruction structures, rule placement, or mention terms like "progressive disclosure", "modularity", "AGENTS.md best practices". Even if users simply say "help me write an AGENTS.md", "optimize this configuration file", or "split the rules", this skill should be used.
Workflow creation, execution, and template management. Automates complex multi-step processes with agent coordination. Use when: automating processes, creating reusable workflows, orchestrating multi-step tasks. Skip when: simple single-step tasks, ad-hoc operations.
Agent spawning, lifecycle management, and coordination patterns. Manages 60+ agent types with specialized capabilities. Use when: spawning agents, coordinating multi-agent tasks, managing agent pools. Skip when: single-agent work, no coordination needed.
Create and deploy a TON agentic wallet. Use when the user wants to create a wallet, set up an agent wallet, deploy an agentic wallet, onboard a new wallet, or when any wallet operation fails because no wallet is configured. This skill is a prerequisite before sending, swapping, or managing assets.
Manage multiple TON wallets, import agentic wallets and rotate operator keys. Use when the user wants to switch wallets, list wallets, import an existing wallet, rotate an operator key, or manage their wallet registry.
Set up Cyrus end-to-end — install prerequisites, configure authentication, create integrations (Linear, GitHub, Slack), add repositories, and launch. Run this once to get Cyrus running as a background agent.
VS Code extension for real-time visualization of Claude Code agent orchestration as interactive node graphs
Search, install, and manage AI agent skills, commands, tools, knowledge, and memories from any source. Works with Claude Code, OpenCode, Cursor, and any AI coding assistant.
Write, review, and improve prompts for any LLM — Claude, GPT, Gemini, Llama, DeepSeek, Mistral, Cohere, Qwen, Grok, Nova, and more. Use when the user asks to "write a system prompt", "improve this prompt", "review my prompt", "make a prompt for", "optimize my prompt", "fix my prompt", "why isn't my prompt working", or wants help writing better prompts for any AI model. Also use when building agents, chatbots, or AI assistants that need system-level instructions, or when the user has a bad prompt they want rewritten. Covers system prompts, task prompts, tool descriptions, and general prompt improvement across all major model families.
Orchestrate multiple specialized agents working in parallel to debug independent problems. Use when encountering 3+ unrelated bugs or test failures in isolated modules. Matches each problem to the right expert agent and launches them concurrently via the Agent tool with worktree isolation. Supports all available subagent types.
TensorLake SDK for building agentic workflows, sandboxed code execution, and document parsing/extraction. Use when the user mentions tensorlake, or asks about TensorLake APIs/docs/capabilities. Also use when the user is building AI agents or agentic applications that need serverless workflow orchestration (parallel map/reduce DAGs), sandboxed execution of LLM-generated code, or document parsing, structured extraction, and OCR from PDFs/images. Works with any LLM provider (OpenAI, Anthropic), agent framework (LangChain, CrewAI, LlamaIndex), database, or API as the infrastructure layer.