Total 31,180 skills, AI & Machine Learning has 5045 skills
Showing 12 of 5045 skills
Integrate oh-my-ag with MCP for ulw-style multi-agent workflows. Covers install, setup, bridge mode, and verification steps.
Fetches AI news from smol.ai RSS. Use when user asks about AI news or daily tech updates.
World-class video directing mastery drawing from cinematic legends like Spielberg, Cameron, Coppola, and Nolan. This skill translates directorial intent into AI video generation, focusing on visual storytelling, emotional pacing, and shot composition. It guides the use of AI tools to orchestrate emotion, not just generate footage. Covers pre-visualization, shot sequencing, and the application of classic techniques—like the Spielberg Face or Cameron Scale—to synthetic media. Emphasizes that in an era of unlimited generative possibility, the director's vision, craft, and understanding of "why" a shot works are more critical than ever.Use when "direct, directing, director, shot, camera angle, camera movement, cinematic, scene, blocking, coverage, composition, visual storytelling, like Spielberg, like Cameron, like Nolan, like Tarantino, like Scorsese, film style, movie style, directing, cinematography, camera, shot-composition, storytelling, film, cinematic, visual-language, blocking, spielberg, cameron, nolan, tarantino, scorsese" mentioned.
Multi-platform installation guide for GrepAI. Use this skill when installing GrepAI on macOS, Linux, or Windows.
Generate production-ready Claude Code hooks with interactive Q&A, automated installation, and enhanced validation. Supports 10 templates across 7 event types for comprehensive workflow automation.
Write or revise AGENTS.md per embedded output contract. Use when creating Agent entry for new projects, auditing existing AGENTS.md, or adopting the AI Cortex entry format.
Audit and refactor existing SKILLs. Use when improving drafts, fixing quality, or aligning to spec. For creating new skills from scratch use skill-creator (anthropics/skills).
Identify missing skills and recommend installations from AI Cortex or public skill catalogs. Use when discovering capabilities or suggesting skills to fill gaps.
Build and deploy autonomous AI agents using the OpenServ SDK (@openserv-labs/sdk). IMPORTANT - Always read the companion skill openserv-client alongside this skill, as both packages are required to build and run agents. openserv-client covers the full Platform API for multi-agent workflows and ERC-8004 on-chain identity. Read reference.md for the full API reference.
Evaluate, score (ASQM strict), tag, and normalize all Skills; writes agent.yaml and README per skill, detects overlaps, produces ASQM_AUDIT.md or chat summary. Use when auditing skills, after adding/changing skills, or when generating repo-level skill summaries.
Analyze agent skills for security risks, malicious patterns, and potential dangers before installation. Use when asked to "audit a skill", "check if a skill is safe", "analyze skill security", "review skill risk", "should I install this skill", "is this skill safe", or when evaluating any skill directory for trust and safety. Also triggers when the user pastes a skill install command like "npx skills add https://github.com/org/repo --skill name". Produces a comprehensive security report with a clear install/reject verdict.
Bidirectional agent team communication via the meet-ai chat server. Agents send and receive messages through the CLI, visible in the web UI.