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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
255page
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
context-hierarchy-design skill by melodic-software/claude-code-plugins
Design memory hierarchy with progressive loading for optimal context management. Use when organizing CLAUDE.md imports, implementing just-in-time context loading, or designing priming hierarchies for agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
context-hygiene skill by openclaw/skills
This skill helps OpenClaw agents maintain lean, decision-focused context by collapsing exploration results into decisions and pruning outdated files.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
context-management skill by outfitter-dev/agents
This skill helps you manage long-running tasks and preserve state across context compaction by using persistent Task operations and delegated exploration.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
context-manager skill by physics91/claude-vibe
This skill analyzes your project to configure MCP servers and agents, generates context profiles, and saves token savings estimates.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
context-manager skill by zenobi-us/dotfiles
This skill maintains fast, consistent, and secure contextual data across distributed agents, optimizing retrieval, synchronization, and governance for scalable
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
conversational-ai-assistant skill by openclaw/skills
This skill provides a natural language interface to query Greek accounting data and retrieve answers across all system skills.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
convex skill by sebastiaanwouters/dotagents
Convex backend development - database, queries, mutations, actions, and real-time APIs
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
convex-agents skill by waynesutton/convexskills
This skill helps you build persistent AI agents with Convex, enabling streaming responses, tool usage, and durable workflows.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
convex-agents-context skill by sstobo/convex-skills
This skill lets you tailor LLM context per call by customizing recent messages, search, and memory injection to improve relevance.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
convex-agents-messages skill by sstobo/convex-skills
This skill manages messages in agent conversations, enabling saving, displaying, and retrieving UI messages for rich, responsive chat experiences.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
convex-agents-playground skill by sstobo/convex-skills
This skill helps you test and debug Convex agents with a web playground, enabling real-time messaging, history inspection, and context tuning.
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.