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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
51page
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
axiom-swiftui-26-ref skill by charleswiltgen/axiom
This skill guides implementing iOS 26 SwiftUI features, enabling Liquid Glass, AttributedString, WebView, Animatable, drag and drop, and visionOS integration.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / workflow
Azure skills for AI agents
Browse Azure skills for Claude Code, Cursor, Codex and more AI coding agents.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
azure-ai-agents-persistent-dotnet skill by sickn33/antigravity-awesome-skills
This skill helps you orchestrate persistent AI agents in .NET with threads, messages, runs, and tools for end-to-end workflows.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
azure-ai-agents-py skill by openclaw/skills
This skill helps you build and manage Azure AI Agents using the Python SDK to deploy threads, messages, runs, and tools.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
azure-ai-agents-python skill by microsoft/skills
This skill helps you build and manage Azure AI Agents workflows in Python, enabling threads, messages, runs, streaming, and vector storage.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
azure-ai-anomalydetector-java skill by sickn33/antigravity-awesome-skills
This skill helps you implement Java Azure AI Anomaly Detector workflows for univariate and multivariate time-series analysis with easy SDK usage.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
azure-ai-contentsafety-ts skill by sickn33/antigravity-awesome-skills
This skill analyzes text and images for harmful content using Azure AI Content Safety, enabling efficient moderation, blocking, and custom rule enforcement.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
azure-ai-contentunderstanding-py skill by sickn33/antigravity-awesome-skills
This skill helps you manage Azure AI Content Understanding workflows in Python, enabling multimodal extraction for documents, images, audio, and video.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
azure-ai-evaluation-py skill by openclaw/skills
This skill helps evaluate AI applications with built-in and custom evaluators from Azure AI Evaluation SDK, ensuring quality, safety, and measurable
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
azure-ai-openai-dotnet skill by sickn33/antigravity-awesome-skills
This skill helps you integrate Azure OpenAI services in .NET for chat, embeddings, image generation, and audio with simple, secure clients.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
azure-ai-projects-dotnet skill by sickn33/antigravity-awesome-skills
This skill helps you manage Azure AI Foundry projects and versioned agents in .NET, enabling streamlined creation, deployment, and evaluation across datasets
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
azure-ai-projects-java skill by sickn33/antigravity-awesome-skills
This skill helps Java developers manage Azure AI Foundry projects by coordinating connections, datasets, indexes, and evaluations across sub-clients.
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.