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Found 7,601 Skills
Review and modernize Agent OS product documentation to ensure quantifiable value propositions and workspace-hub standards compliance.
AI Agent native API provider — no API keys, no signups, no subscriptions. Just pay with USDC per request via x402 to instantly access Twitter, Instagram, and more.
Превращает идею в конкретную задачу, которую агент может выполнить. Проводит через 5 шагов: идея → результат → реальность → задача → план.
Comprehensive Python engineering guidelines for writing production-quality Python code. This skill should be used when writing Python code, performing Python code reviews, working with Python tools (uv, ruff, mypy, pytest), or answering questions about Python best practices and patterns. Applies to CLI tools, AI agents (langgraph), and general Python development.
Query Light Protocol and related repositories via DeepWiki MCP. Use when answering questions about compressed accounts, Light SDK, Solana development, Claude Code features, or agent skills. Triggers on technical questions requiring repository context.
Control interactive terminal sessions via tmux. Use when tasks need persistent REPLs, parallel CLI agents, or any process requiring a TTY that simple shell execution cannot handle.
Open Animate — the creative suite for AI agents. Create professional motion graphics, generate images, and render MP4 videos. Use when the user wants to make videos, animations, motion graphics, social clips, product launches, explainers, or any visual content. Supports asset generation (images, backgrounds, upscaling) and video composition with animation presets, transitions, and components.
Bitcoin L1 wallet for agents - check balances, send BTC, manage UTXOs. Extends to Stacks L2 (STX, DeFi) and Pillar smart wallets (sBTC yield).
Control OpenCode directly via the Agent Client Protocol (ACP). Start sessions, send prompts, resume conversations, and manage OpenCode updates.
Evaluates and optimizes agent skills using a DSPy-powered GEPA (Generate/Evaluate/Propose/Apply) loop. Loads scenario YAML files as DSPy datasets, scores outputs with pattern-matching metrics, and optimizes prompts via BootstrapFewShot or MIPROv2 teleprompters. Also generates new scenario YAML files from skill descriptions.
Compare Nim and Python scripted agent implementations and align behavior. Use when asked to port or ensure parity between Nim and Python.
Universal text artifact optimizer using GEPA's optimize_anything API for code, prompts, agent architectures, configs, and more