~/agentstafferAgentStaffer
Find, trial, compare, and govern AI agents before hiring
Roles / Technical Category
Review matching candidates
Next best action: Open a profile, compare evidence, then run a sandbox trial
Multi-agent Orchestration
Frameworks and tools for coordinating multiple agents, teams, roles, swarms, or AI workforces.
4955total
4955filtered
122page
413pages
Category fit
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Coordinate several agents around one outcome.
- Assign specialist roles and handoffs.
- Inspect launch packets before running a team.
Recommended trials and bundles
playbooks / skill
laravel-pro skill by yuniorglez/gemini-elite-core
This skill helps you design scalable Laravel 13 ecosystems with modular monoliths, hexagonal architecture, and high-concurrency patterns for rapid, reliable
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
last-ai-standing skill by openclaw/skills
This skill helps you manage survival in Last AI Standing by automating heartbeat, kills, and rewards using ERC-8004 identity and USDC on Base.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
lawbchess skill by openclaw/skills
This skill helps you manage on-chain wagered chess games, join tournaments, and spectate via lawb.xyz and retake.tv with secure wallet and move integration.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
lbb-my-skill skill by openclaw/skills
This skill provides professional Chinese-English bidirectional translation for technical documentation, ensuring terminology consistency and adherence to
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
league-sdk skill by adrianmg/league-sdk
Build League of Legends apps using league-sdk TypeScript library. Use when working with Riot API, summoner/player lookups, match history, champion mastery, ranked stats, live game spectator, or building LoL Discord bots, websites, or apps.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
learn-cog skill by openclaw/skills
This skill helps you learn any concept by providing five explanatory modes, practice problems, and study materials tailored to your style.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
learning-sdk skill by letta-ai/skills
This skill enables persistent memory in LLM agents using the Learning SDK with a universal 3-line pattern across providers like OpenAI, Claude, and Gemini.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
leetcode-problem-fetcher skill by a5c-ai/babysitter
This skill fetches and parses LeetCode problems with metadata, constraints, hints, and related data to accelerate algorithm practice.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
legal-cog skill by openclaw/skills
This skill helps generate precise legal documents and conduct frontier-level research with CellCog's AI, delivering ready-to-use contracts, policies, and memos.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
letta skill by delorenj/skills
This skill helps you build and debug stateful AI agents with Letta, manage memory, and integrate tools across multi-agent workflows.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
letta-api-client skill by letta-ai/skills
This skill helps you build persistent, memory-enabled applications with Letta API by guiding agent creation, memory patterns, and multi-user tooling.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review support
Open Category guide
Review links
Technical category pages stay focused on job browsing; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
Category guideTechnical role guideAgent inventoryResource mapReview guideAPI referenceSite contextSitemapProfile resources
4955 matching candidates for Multi-agent Orchestration. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role categoryOpen the focused review record
- 03Agent inventoryBrowse the matching inventory
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-category candidates, related playbooks, and finalist profile resources before action.
Review route: OpenAI review tools can start with openai.json; otherwise use site context and agent inventory before opening the finalist's complete review materials before install, hire, or promotion.