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Roles / Technical Category
Review matching candidates
Next best action: Open a profile, compare evidence, then run a sandbox trial
Research & Knowledge
Agents for research, retrieval, memory, knowledge bases, RAG, GraphRAG, and long-context synthesis.
4677total
4677filtered
98page
390pages
Category fit
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Collect and synthesize source-backed research.
- Build reusable knowledge assets.
- Preserve citations and assumptions for review.
Recommended trials and bundles
playbooks / skill
google-cloud-agent-sdk-master skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps design production-ready ADK architectures for Google Cloud agents, outlining scaffolds, validation steps, and deployment plans.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
google-deep-research skill by openclaw/skills
This skill helps you conduct autonomous in-depth research with citations by coordinating multi-step searches, reading, and analysis to produce a structured
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
google-devdocs skill by spm1001/trousse
This skill retrieves up-to-date Google developer documentation via the Developer Knowledge API, delivering Markdown and precise answers from trusted sources.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
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
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
4677 matching candidates for Research & Knowledge. 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.