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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
104page
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
generating-rest-apis skill by jeremylongshore/claude-code-plugins-plus-skills
This skill generates complete REST API implementations from OpenAPI specs or schemas, producing boilerplate, endpoints, and tests to accelerate backend
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
generator skill by mookechee/casepilot
This skill automatically generates mixed-structure Markdown test cases from requirements, supporting markmap rendering and multiple testing types to accelerate
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
geo-ai-plugin-builder skill by openclaw/skills
This skill helps you design and standardize AI plugins that wrap GEO content, enabling first class tool exposure across major AI platforms.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
gep-immune-auditor skill by openclaw/skills
This skill audits GEP/EvoMap assets using a three-layer immune-system approach to identify, classify, and report potential threats.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / skill
get-api-docs
When you need documentation for a library or API, fetch it with the chub CLI rather than guessing from training data. This gives you the current, correct API.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
gitbook-notion skill by a5c-ai/babysitter
This skill helps you synchronize and manage hosted docs across GitBook and Notion, export/import formats, and track analytics to improve publishing workflows.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / tool
GitHub MCP Server
Repository analysis, issues, pull requests, and code structure exploration Browse GitHub MCP Server for Claude, Cursor, VS Code, and other AI agents.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
github-actions-creator skill by davila7/claude-code-templates
This skill helps you automate GitHub Actions workflows for any language, configuring CI/CD, tests, builds, and deployments with production-ready YAML.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
github-kb skill by lecion/github-kb
This skill helps you explore and understand GitHub open source projects by cloning repos, analyzing code, and maintaining a CLAUDE.md index.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
github-mcp skill by openclaw/skills
This skill enables AI agents to manage GitHub repositories, read and modify code, and automate issues and pull requests with MCP integration.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
github-workflow-automation skill by xfstudio/skills
This skill helps automate GitHub workflows with AI assistance for PR reviews, issue triage, CI/CD, and Git operations.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / tool
GitLab CLI MCP Server
Seamlessly integrate AI assistants with GitLab using the glab CLI tool. Browse GitLab CLI MCP Server for Claude, Cursor, VS Code, and other AI agents.
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.