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Roles / Technical Category
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Multi-agent Orchestration
Frameworks and tools for coordinating multiple agents, teams, roles, swarms, or AI workforces.
4955total
4955filtered
103page
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
gekko-strategist skill by openclaw/skills
This skill helps you design, backtest, and optimize DeFi yield strategies using market conditions and risk tolerance to maximize returns.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / model
Gemini 3.5 Flash
Gemini 3.5 Flash is designed for executing complex, agentic workflows with exceptional speed and intelligence. It excels in coding and long-horizon tasks, pr…
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
gemini-api skill by diskd-ai/gemini-api
Google Gemini API integration for building AI-powered applications. Use when working with Google's Gemini API, Python SDK (google-genai), TypeScript SDK (@google/genai), multimodal inputs (image, video, audio, PDF), thinking/reasoning features, streaming responses, structured outputs with JSON schemas, multi-turn chat, system instructions, image generation...
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
gemini-api skill by openclaw/skills
This skill enables seamless access to Gemini models via OpenClaw without Google Cloud, offering 1M context, fast pricing, and OpenAI-compatible API.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
gemini-api-dev skill by google-gemini/gemini-skills
This skill helps you build Gemini API integrations across multimodal inputs, function calling, and structured outputs with suitable SDKs.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
gemini-api-dev skill by sickn33/antigravity-awesome-skills
This skill helps you integrate Gemini API across multimodal, function calling, and structured outputs with SDKs for Python, JS, and Go.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
gemini-count-in-video skill by benchflow-ai/skillsbench
This skill analyzes surveillance videos with Gemini API to count pedestrians, cyclists, and vehicles, delivering structured counts for batch processing.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
gemini-document-processing skill by einverne/dotfiles
This skill helps you extract structured data, summarize, and answer questions from PDFs using Google Gemini's vision capabilities.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
gemini-reader skill by openclaw/skills
This skill analyzes local PDF, video, and audio files via Gemini API to read, summarize, or transcribe content.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
gemini-sdk-expert skill by yuniorglez/gemini-elite-core
This skill helps you harness Gemini SDK expertise for structured outputs, context caching, and multimodal orchestration to build reliable AI apps.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
genai-services skill by acedergren/oci-agent-skills
This skill helps you implement OCI GenAI inference, manage tokens and rate limits, and ensure PHI/PII safety with compliant validation.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
generate-blueprints skill by thebushidocollective/han
This skill generates comprehensive blueprint documentation for the entire codebase, creating or updating blueprints at the repository root to improve system
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.