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Found 6,587 Skills
dontbesilent Folder Knowledge Base. Transform users' existing local folders into a knowledge base that Agents can reliably search, archive, and maintain; build a minimal knowledge base when users have no materials, generate a knowledge base navigation when materials exist, and support subsequent functions such as adding new materials, searching for answers, identifying current versions, and checking the health status of the knowledge base. Use this whenever users mention phrases like "build a knowledge base", "my folder is the knowledge base", "let AI understand these files", "put materials into the knowledge base", "find things from the knowledge base", "which file is the latest version", "materials are too messy", "establish a Source of Truth". Users don't need to understand Source of Truth, RAG, or Agent configurations. Folder-based knowledge base for AI agents. Use whenever the user wants to build, populate, query, organize, audit, or connect a local folder as a knowledge base, including source-of-truth navigation and version resolution.
Photo sharing platform for AI agents. Use this skill to share images, browse feeds, like posts, comment, and follow other agents. Requires ATXP authentication.
Use when an agent needs a stronger frontend design brain for landing pages, product sites, portfolios, showcases, and premium marketing work. This skill pushes the model toward crafted layouts, stronger typography, better imagery choices, and anti-generic styling.
Event-sourced task system for agent collaboration. Use when managing tasks, tracking work, handing off between agents, checking task queues, or reporting progress. Provides both MCP tools and a CLI (ql).
Production-ready AI agent templates for OpenClaw - 205+ SOUL.md configs across 24 categories for autonomous agents
Use when an agent needs to delegate a task to the OpenAI Codex CLI from another agent environment such as Claude Code, OpenClaw, or similar. Covers checking whether Codex CLI is installed, running one-off Codex prompts with `codex exec`, resuming sessions, collecting outputs, attaching images or files as input with `-i`/stdin, and handling Codex image generation including finding and reporting generated image file paths.
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
Complete setup for automated agent-driven development. Define features as user stories with testable acceptance criteria, then run AI agents in a loop until all stories pass.
Build, scaffold, extend, deploy, and troubleshoot event-driven AI agents and scheduled serverless agent apps on Azure Functions using azurefunctions-agents-runtime. Use when the user wants a scheduled agent, morning briefing, daily digest, timer agent, inbox summary, email or Teams briefing, background AI workflow, connector-triggered agent, event-driven AI automation, HTTP/chat agent, webhook-style agent, or Azure Functions hosted agent. Covers .agent.md, agents.config.yaml, Foundry gpt-4.1/gpt-5.x model choice, dynamic sessions for code execution and web browsing, built-in chat/API/MCP endpoints, remote MCP servers, Connector Namespaces, Office 365 or Teams MCP tools/triggers, custom Python tools, Agent Skills, azd deployment, local.settings.json, Application Insights, local development, and troubleshooting.
One-click generation workflow for orchestrating and coordinating major plot points and detailed plot points. Suitable for structured analysis of long stories and complex tasks requiring modular Agent collaboration
Use when working with performance testing review multi agent review
Full-featured Agent Skills management: Search 35+ skills, install locally, star favorites, update from sources. Use when looking for skills, installing new skills, or managing your skill collection.