Loading...
Loading...
Found 1,463 Skills
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.
Specification and SDK for creating Agent Skills - a standard format for giving AI agents new capabilities through discoverable instruction bundles
Turn a vague idea or task into a confirmed Working Brief by interviewing the user one question at a time, each with a recommended answer, then (only when the user chooses) plan execution with cost-effective model routing. Use when the user invokes Ask Me, wants to clarify scope or requirements before work begins (เคลียร์โจทย์ วางขอบเขต ทำ brief), or asks to execute a WORKING-BRIEF.md.
Creates implementation-ready blueprints for new software products, features, apps, and internal tools. Use when starting a greenfield project, major feature, or technical handoff that needs PRD, TRD, architecture, schema, security, modules, rules, phases, design, and memory docs.
Use when writing a new agent skill for the dogfooded-skills library — covers frontmatter spec, section structure, quality criteria, and antipatterns.
Run /architect when choosing between approaches, designing a feature or page, picking a tech stack, or when /develop says a decision is owed, anytime a load bearing technical decision is unmade. Asks deep questions, recommends an answer, and writes a build spec to docs/specs/. Owns all spec files.
Creates Cursor-specific AI subagents with isolated context for complex multi-step workflows. Use when creating subagents for Cursor editor specifically, following Cursor's patterns and directories (.cursor/agents/). Triggers on "cursor subagent", "cursor agent".
Add an external skill from a GitHub repository to the current workspace. Use when users want to import, install, or add a skill from a GitHub URL (e.g., `/add-skill https://github.com/OpenHands/skills/tree/main/skills/codereview` or "add the codereview skill from https://github.com/OpenHands/skills/"). Handles fetching the skill files and placing them in .agents/skills/.
Technical due diligence for M&A, investment, or acquisition. Reads a target company's codebase and generates a comprehensive tech DD report with architecture assessment, tech debt quantification, scalability analysis, security posture, team capability inference, build system quality, test coverage, deployment maturity, and open source license risks. Outputs tech-dd-report.md formatted like a real investment memo with risk ratings, remediation costs, and go/no-go recommendation.
Generate a detailed features.md document from a spec.md, or sync changes between spec.md and features.md when either file is updated. Use this skill whenever the user wants to expand a product spec into a full feature list, asks to "generate features", "create features.md", "expand the spec", "update features from spec", or "sync spec and features". Also trigger when the user has modified either spec.md or features.md and wants to keep them in sync. Always use this skill when both files are in play together.
Framework-agnostic persistent memory and self-improvement loops for AI agents. Scaffolds shared state, task queues, and learnings files that can be read/written by Claude, Gemini, and Antigravity. Use this to initialize an Agentic OS layer in any workspace and instruct agents on how to use it.
Install context files from registry. Use when user runs /install-context, says "install context", "setup context", or when context is missing and the user needs to get started.