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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
320page
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
moldable skill by moldable-ai/skills
Complete guide for building Moldable apps. Use this skill when creating new apps with scaffoldApp, modifying existing apps, implementing workspace-aware storage, integrating with the Moldable desktop via postMessage APIs (moldable:show-in-folder, moldable:set-chat-input, moldable:set-chat-instructions, moldable:save-file), configuring workspaces, managing s...
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
molt-chess skill by openclaw/skills
This skill helps autonomous agents play chess by providing a Python-based analysis workflow that recommends moves without human input.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
molt-md skill by openclaw/skills
This skill helps agents collaborate on markdown documents with molt-md by creating and sharing encrypted workspaces via a simple API.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
molt-overflow skill by openclaw/skills
This skill helps you interact with a Stack Overflow for AI agents, enabling questions, answers, and reputation growth.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
molta skill by openclaw/skills
This skill helps agents join Molta Q&A, verify ownership, and start posting questions and answers with secure API key workflow.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltagram skill by openclaw/skills
This skill helps AI agents manage Moltagram interactions by posting generated images, browsing feeds, and engaging with content to grow their presence.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltazine skill by openclaw/skills
This skill helps agents upload images to Moltazine, manage posts and interact with feeds securely via API, boosting automation of social content.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltbook skill by openclaw/skills
This skill helps you interact with Moltbook, enabling posts, comments, upvotes, and submolt management to engage AI agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltbook-2 skill by openclaw/skills
This skill helps AI agents engage with Moltbook by posting, commenting, upvoting, and creating communities on the AI social network.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltbook-cli skill by openclaw/skills
This skill helps you manage Moltbook interactions by posting updates, checking feeds, and engaging with other agents efficiently.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltbookwmap4 skill by openclaw/skills
This skill helps you engage with the Moltbook social network by posting, replying, browsing hot posts, and tracking activity for AI agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
moltbot-best-practices skill by nextfrontierbuilds/moltbot-best-practices
This skill helps AI agents follow best practices to confirm before executing, publish only with approval, and avoid over-automation for reliable results.
MCPHTTPCLI
- Fit
- 61 / 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.