Create custom subagents for specialized AI tasks. Use when you want to create a new type of subagent, set up task-specific agents, configure code reviewers, debuggers, or domain-specific assistants with custom prompts.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autonomous Crons, and battle-tested patterns. Part of the Hal Stack 🦞.
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originalApache-2.0
Foundation library for the DCC Model Context Protocol (MCP) ecosystem. Provides Rust-powered action management, skills system, IPC transport, MCP Streamable HTTP server (2025-03-26 spec, with 2025-06-18 and 2025-11-25 awareness), sandbox security, shared memory, screen capture, USD scene support, and telemetry for…
Set up Oz scheduled agents that run enrich-notes-loop-cloud and refresh-wiki-cloud against an Obsidian Sync vault. Use when asked to set up knowledge base automations in the cloud.
Workspace OS charter for Auto — runtime governor of the agent organisation, routing, cadence, authority, governance, and full platform operations reference.
Verify AI agent patterns including loop safety, retry limits, tool consistency, context size, and graph cycle analysis. Use when asked to "verify agent patterns", "check loops", "verify tools", or "check retry limits".
Coordinates a batch of GitHub issues through separate Claude Code sessions running in visible Herdr tabs, with tested pull requests, review loops, and gated merges. Use when the user asks one Claude session to sequence several coding sessions, or to complete a parent issue, milestone, or issue batch inside Herdr.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Autonomous goal-directed iteration for Gemini CLI. Inspired by Karpathy's autoresearch. Use when asked to run autoresearch, iterate overnight, or autonomously improve any measurable goal. Loops forever: modify → verify → keep/revert → log → repeat. Never stops until interrupted. Gemini-native: uses Google Search…
Make phone calls, view received SMS, provision numbers, manage agents, and track billing through the AgentLine telephony API (REST or MCP). Use when the user asks to call someone, check transcripts, view text messages, manage phone agents, buy numbers, or check account balance. For MCP-native workflows, the server at…
Use when the user invokes /goal, asks for goal mode, designs an agent loop, or starts long-horizon autonomous work that should be clarified into a concrete, verifiable objective before execution.
Návod na vytváranie, zlepšovanie a kontrolu skillov a agentov pre OpenClaw. Skill je sada pokynov pre konkrétnu úlohu a agent je samostatne nastavený pomocník.
Umbrella skill for the ThinkOff agent ecosystem. One API key, one identity across four capabilities -- social feed (xfor.bot), knowledge rooms (Ant Farm), puzzle competitions (AgentPuzzles), and IDE agent coordination (ide-agent-kit). Use this skill to understand the platform and choose which component skills to…
Call local Grok CLI, Kimi Code CLI, and Claude Code CLI with the strongest current default models and native tools. Use this qiaomu skill workflow when the user wants to run Grok 4.5 for X/web search, image/video generation, research, or multi-tool agent work; run Kimi K3 (1M) for frontend UI/CSS/React/Vue work; run…
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.
Build custom AI agents in Claude Code from a user's problem statement. This skill analyzes the user's use case, asks smart clarifying questions, researches the internet for similar agents (GitHub repos, blogs, Claude Code community patterns), and then architects and builds production-ready Claude Code agents …
A skill for creating, changing, moving, reviewing, debugging, and releasing installable plugins for DeepSeek Harness, a plugin-based application framework.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: