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Roles / Technical Category
Review matching candidates
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Multi-agent Orchestration
Frameworks and tools for coordinating multiple agents, teams, roles, swarms, or AI workforces.
4955total
4955filtered
107page
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
google-developer-knowledge skill by cnemri/google-genai-skills
This skill helps you swiftly search and retrieve Google's developer docs via the Developer Knowledge API for quick reference and code examples.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
google-drive skill by openclaw/skills
This skill helps you manage Google Drive files and folders by performing upload, download, search, share, and organization tasks via the Drive API.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
google-gemini-api skill by jackspace/claudeskillz
This skill helps you integrate Google Gemini API with the correct genai SDK, enabling multimodal prompts, thinking mode, and reliable function calling.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
google-gemini-api skill by jezweb/claude-skills
This skill integrates the Google Gemini API with the @google/genai SDK to enable multimodal text and media generation, function calling, and streaming.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
google-gemini-api skill by ovachiever/droid-tings
This skill helps you integrate Google Gemini API with the correct SDK, enabling multimodal generation, function calling, and thinking mode for advanced AI
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
google-gemini-embeddings skill by benchflow-ai/skillsbench
This skill helps you generate and tune Google Gemini embeddings for vector search, RAG, and semantic clustering with flexible dimensions.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
google-gemini-embeddings skill by jackspace/claudeskillz
This skill helps you implement Google Gemini embeddings for RAG, semantic search, and clustering with batch processing and Cloudflare Vectorize.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
google-gemini-embeddings skill by jezweb/claude-skills
This skill enables fast, accurate semantic search and RAG workflows by generating Gemini embeddings and guiding batch, normalization, and error handling.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
google-gemini-file-search skill by jezweb/claude-skills
This skill helps you set up and operate Google Gemini File Search for document Q&A with automatic chunking, embeddings, and citations.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
google-gemini-file-search skill by ovachiever/droid-tings
This skill helps you build document Q&A and semantic search with Google Gemini File Search, handling 100+ formats, embeddings, and citations.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
google-genai-sdk-python skill by cnemri/google-genai-skills
This skill helps you write idiomatic Python code using the google-genai SDK for Gemini API and Vertex AI, enabling efficient text, multimodal, and
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.