agent-browser-automate
[INTERNAL TEMPLATE] Task automation execution protocol. Called by agent-browser orchestrator.
Skills
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 10-24 00:15
Agents & models
24,622 results
opencode-runner
Guide an external OpenCode CLI run through the host approval flow. Use only when users explicitly request OpenCode or approve an OpenCode comparison without a…
fleet
Fleet orchestration for distributed coding agents across Azure VMs. Invoked as `/fleet <command>`. Covers all fleet operations: status, scout, advance, adopt,…
shunk031-manage-public-private-skills
Route coding-agent skill work between the public and private source repositories. Use when an installed skill change vanished, when adding, editing, renaming,…
azure-ai-voicelive-dotnet
Azure AI Voice Live SDK for .NET. Build real-time voice AI applications with bidirectional WebSocket communication.
tinker-training-cost
Calculate training costs for Tinker fine-tuning jobs. Use when estimating costs for Tinker LLM training, counting tokens in datasets, or comparing Tinker model…
zotagent
Search, retrieve, inspect, add, or edit Zotero literature via the `zotagent` CLI. Load this skill whenever the user wants to query their Zotero library…
agent-harness
Framework for long-running AI agents across multiple context windows. USE WHEN user types /agent-harness or mentions sprint planning, feature breakdown,…
automate-me
Use for creating or updating a personal -mode skill from user preferences and working habits, including requests to automate me.
probe
Use Probe to onboard agents, run the Nexus daemon, inspect dispatched actions, and execute Nexus workflow commands for ideas, tasks, projects, messaging, and…
dispatching-parallel-agents
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when…
ag2-network-governance
Govern an AG2 multi-agent network — identity (`Passport`, `Resume`), per-agent `Rule` with two top-level blocks `access` (`AccessBlock`) and `limits`…
ag2-network-quickstart
Build a multi-agent AG2 network — load this whenever two or more `Agent`s need to interact. The network is the standard multi-agent pattern in `ag2`. Covers…
ag2-network-tools-and-views
Shape what an AG2 network agent perceives and which actions its LLM can take. Covers the five auto-injected LLM-facing tools that ship via `NetworkPlugin`…
openspace
Install and route through OpenSpace, the skill management layer for AI agents, so a host agent can retrieve/rank/load the right SKILL.md out of this jeo-skills…
agent-research-aggregator
Pre-pipeline aggregator that scans AI agent cache directories (.claude, .cursor, .antigravity, .openclaw) or any user-specified directory for experimentation…
flutter-mcp-toolkit-control
Drive a running Flutter app — tap, scroll, type, fill forms, hot-reload, navigate. Use when you need to interact with the UI.
flutter-mcp-toolkit-debug
Diagnose problems in a running Flutter app — read logs, evaluate Dart expressions, interpret error envelopes. Use when something broke.
done-blocked
Reusable reporting contract for any agent that hands work back to the pipeline. Forces ONE of two terminal statuses (DONE or BLOCKED) with a specific evidence…
compile
Compile .agents knowledge wiki. Triggers: "compile the knowledge wiki", "build the LLM wiki", "compile .agents into the wiki".
exp-probe
Run one-off research spot experiments with minimal ceremony. Use when explicitly requested, or for a missing datapoint, a rerun after failure (OOM, crash), a…
camp-overview
Foundational context on how the summer camp industry works in the US and Canada, covering what a camp is, day versus overnight, the camp year, the enrollment…
agent-optimizer
Agent design advisor and review tool. Based on 12-Factor AgentOps best practices, used for: (1) discussing Agent architecture design proposals; (2) reviewing the design of existing Agents/Skills/workflows, identifying problems, and giving improvement suggestions. Trigger words: review my agent, help me analyze this skill, agent design, agent optimization, help me…