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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
228page
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
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / skill
Anthropologist
Expert in cultural systems, rituals, kinship, belief systems, and ethnographic method — builds culturally coherent societies that feel lived-in rather than i…
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
antigravity-swarm skill by wjgoarxiv/antigravity-swarm
This skill deploys autonomous sub-agents to plan, hire, and execute complex coding missions within the Antigravity IDE.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
anvevoice skill by openclaw/skills
This skill helps you add AI voice assistants to websites to boost engagement, capture leads, and automate support for higher conversions.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
AnyBiz.io
Hire AI Sales Agents to generate meetings and sales for Any Business
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
aoto skill by openclaw/skills
This skill enables AI agents to automate and observe desktop apps using native accessibility trees, returning structured refs for reliable UI interactions.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
api-ci-cd-github-actions skill by agents-inc/skills
This skill helps you configure GitHub Actions CI/CD with Turborepo, Bun, and quality gates for fast, secure deployments.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
api-contract skill by shaul1991/shaul-agents-plugin
This skill defines, validates, and manages OpenAPI contracts, generates mocks, and supports contract-first collaboration between frontend and backend teams.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
api-framework-hono skill by agents-inc/skills
This skill helps you build type-safe REST APIs with Hono and OpenAPI, auto-generating docs and client code from Zod schemas.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
api-observability-axiom-pino-sentry skill by agents-inc/skills
This skill enhances observability by integrating Pino, Sentry, and Axiom with correlation IDs for structured logs, error boundaries, and proactive monitoring.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
api-testing-patterns skill by proffesor-for-testing/agentic-qe
This skill helps you design and automate robust API tests across REST and GraphQL, ensuring contracts, errors, and performance from a consumer view.
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.