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Found 1,134 Skills
Agent-first OpenRouter introspection — terse output for cron and AI agents (--agent and --llm modes), local SQLite... Trigger phrases: `openrouter credits`, `check openrouter budget`, `openrouter cost by cron`, `shortlist openrouter models`, `openrouter providers degraded`, `use openrouter`, `run openrouter`.
Write, rewrite, or normalize structured `*.spec.md` specification files for agent-driven development. Use this whenever the user asks for a spec, requirements, acceptance criteria, implementation-ready documentation, feature definition before coding, or wants an existing idea/codebase turned into an actionable spec, even if they do not explicitly say "spec".
Extract a validated learning from the current session, store it in the central agent learnings file, and sync the resulting Learnings section into the agent definitions used by the supported CLIs. User-only maintenance workflow for durable agent guidance.
Convert photos into animated GIF stickers in Funko Pop / Pop Mart style via the MiniMax API. Useful for personalized chat stickers and avatar packs.
Music generation queueing, retrieval, and completion endpoints via Venice.ai. Suited for jingles, background loops, and prototype scoring.
Build a task from a Notion page URL. Fetches task details, marks it in progress, implements the work, and updates status in Notion.
Use Claude Code's autonomous agent loop with DeepSeek V4 Pro, OpenRouter, or any Anthropic-compatible backend at up to 17x lower cost.
Help users discover and install Claude Code skills. Use this skill when users ask "how to do X", "find a skill that can do X", "are there any skills that can..." or want to expand AI capabilities. Search, verify quality, and assist with installation through the skills.sh ecosystem.
Desktop automation CLI for AI agents (macOS, Linux, Windows). Screenshot, click, type, scroll, drag with native Zig backend. Use this skill when automating desktop apps with computer use models (GPT-5.4, Claude). Covers the screenshot-action feedback loop, coord-map workflow, window-scoped screenshots, and system prompts for accurate clicking.
Extracts transcripts from podcasts or videos and synthesizes actionable takeaways.
TypeScript-native multi-agent orchestration framework that decomposes goals into task DAGs automatically with MCP and live tracing
Expert guide for Nous Research's Hermes Agent framework with self-improving learning loops, three-layer memory, and automatic Skill creation