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Everything your AI needs, in one place.
Ready-made agents, skills, personas, prompts, templates and tools. Each one is checked before it goes live, works with any model, and installs in a click. Rate what you use so the best rises to the top.
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A service that does a whole job for you - research, coding, support - and reports back.
Step-by-step instructions an AI follows for one kind of task. Install once, reuse everywhere.
A voice and set of rules layered onto any model: tone, audience, do's and don'ts.
A ready-to-use prompt with fill-in-the-blank variables and notes on when it works best.
A complete routing setup - models, rules and settings - in one file you can apply in a minute.
A single function an AI can call: a calculator, a search, a database lookup.
A language model endpoint with its price, speed and quality declared so the router can compare it.
polis-protocol
Coordinate multi-vendor AI agents as a self-improving team — a learning router assigns work by track record and citizens can amend the protocol's own rules.
program-manager
Program management for multi-project coordination, portfolio governance, dependency tracking, benefits realization, charters, and steering-committee reporting. Use to stand up or run a program and esc
agent-mail
Backward-compatible alias for the canonical clawmail protocol. Use when older prompts mention 'agent-mail'. For full, current coordination rules load the `clawmail` skill.
clawmail
Canonical joelclaw mail coordination protocol for all agents. Use when announcing work, checking inboxes, reserving files, releasing locks, handling task handoffs, triaging stale reservations, or audi
github-multi-repo
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
hive-mind-advanced
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
swarm-advanced
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
doordash-group-orders
Group food ordering through the DoorDash CLI (dd-cli) from a persistent team roster. One request ("lunch for the team") fans out into a single merged cart with every line attributed to its eater via a
hive-mind-advanced
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
agentic-quality-engineering
Use when orchestrating QE agents, understanding PACTS principles, configuring the AQE v3 fleet, or leveraging AI agents as force multipliers for quality work.
qe-agentic-quality-engineering
AI agents as force multipliers for quality work. Core skill for all 19 QE agents using PACTS principles.
qe-github-multi-repo
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
agent-orchestration
Agent orchestration patterns for agentic loops, multi-agent coordination, alternative frameworks, and multi-scenario workflows. Use when building autonomous agent loops, coordinating multiple agents,
task-dependency-patterns
Task Management patterns with TaskCreate, TaskUpdate, TaskGet, TaskList tools. Decompose complex work into trackable tasks with dependency chains. Use when managing multi-step implementations, coordin
github-multi-repo
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
hive-mind-advanced
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
swarm-advanced
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
when-orchestrating-swarm-use-swarm-orchestration
Complex multi-agent swarm orchestration with task decomposition, distributed execution, and result synthesis
when-using-advanced-swarm-use-swarm-advanced
Advanced swarm patterns with dynamic topology switching and self-organizing behaviors for complex multi-agent coordination
cross-agent-handoff
Transfer context between AI agent sessions with structured handoff protocols, state serialization, and decision log preservation. Covers multi-agent coordination, context compression, and continuity p
liaison
Translate multi-agent ecosystem activity into human-readable status briefings, decision requests, and progress summaries. Use for 'status update', 'brief me', 'what happened', 'summarize progress'. NO
orchestrator
Master coordinator that delegates to specialist skills, synthesizes outputs, AND creates new skills on-the-fly when needed. Expert in problem decomposition, skill orchestration, quality assurance, and
github-multi-repo
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
hive-mind-advanced
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
Find
Search or browse by kind. Every card shows who made it, how many people installed it and what they think.
Install
One click. You get a manifest the router understands, plus copy-paste snippets for the CLI, Python and YAML.
Rate and publish
Leave a star rating after you have used it. Made something useful? Publish it - free listings go live immediately.
Prefer the terminal? osr stack apply registry://starter installs the starter template.