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Found 8,855 Skills
Generate multi-person talking head podcast videos from scratch using AI — character creation, TTS, avatar animation, and video stitching. Use when the user wants to create a podcast, talking head video, or multi-speaker conversation video.
Run an independent code review using the OpenAI Codex CLI in headless mode. Gets a second opinion from a different model family (GPT-5/o3) on recent changes, a PR, a commit, or the whole app — covering bugs, regressions, security, data consistency, UX/state bugs, performance risks, and testing gaps. Saves a severity-prioritised report to .jez/reviews/. Triggers: 'codex review', 'review with codex', 'second opinion on this code', 'independent code review', 'what does codex think', 'get codex to review'.
Orchestrate multi-agent AI workflows with ultrawork, discipline agents, team mode, and hash-anchored editing for autonomous code development
TypeScript-native multi-agent orchestration framework that decomposes goals into task DAGs automatically with MCP and live tracing
A minimal teaching framework for understanding AI Agent architecture with core loop, fake LLM interface, and skill discovery system
FastMCP Python framework for MCP servers with tools, resources, storage backends (memory/disk/Redis/DynamoDB). Use for Claude tool exposure, OAuth Proxy, cloud deployment, or encountering storage, lifespan, middleware, circular import, async errors.
Add persistent memory to AI coding agents using agentmemory - remembers context, preferences, and decisions across sessions
Hermes-native AIOps agent for evidence-driven incident response, approval-gated remediation, and runbook learning
Web content fetching via curl and WebFetch when a specific URL is provided. Covers HTTP GET/POST, JSON APIs, HTML, auth, cookies. Triggers on: "fetch this URL", "download HTML", "call this API", "curl this endpoint". NOT for search, use tavily.
Control and automate real browser sessions through CDP, preserving login state and cookies for LLM-driven interactions
Build AI agents with in-process agent loops using Anthropic or OpenAI APIs, custom tools, MCP servers, and multi-turn conversations
Hermes Labyrinth observability plugin for monitoring autonomous agent journeys, crossings, and execution traces