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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
315page
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
memvault skill by openclaw/skills
This skill helps AI agents persist memory across sessions using Ebbinghaus decay and strength-weighted retrieval.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
mentor skill by mcouthon/agents
This skill guides learning through Socratic questioning, asking one focused question at a time to help you discover solutions.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
mermaid-diagrams skill by sammcj/agentic-coding
This skill helps you create and update mermaid diagrams following best practices, including color themes, labeling, and formatting guidelines.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
meshcore-marketplace skill by openclaw/skills
This skill helps you discover and call paid AI agents from the MeshCore marketplace with clear pricing and consent prompts.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
messaging-agents skill by letta-ai/letta-code
This skill enables you to message other agents on the Letta server to query knowledge, coordinate tasks, and share information.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
meta-methodology-improvement-protocol skill by agents-inc/skills
This skill helps you iteratively improve your own prompts and configurations using evidence-based patterns and clear rationales before applying.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
meta-methodology-investigation-requirements skill by agents-inc/skills
This skill ensures rigorous code analysis by listing necessary files, reading them fully, and basing conclusions solely on what is found.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
meta-research-research-methodology skill by agents-inc/skills
This skill helps researchers conduct evidence-based codebase investigations by documenting file:line findings, verifying paths, and producing AI-ready,
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
metacognition-lite skill by openclaw/skills
This skill helps AI agents reduce hallucinations and drift by applying a lightweight metacognitive protocol that validates delivery and tracks intent.
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.