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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
186page
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
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
zephyr-rtos skill by a5c-ai/babysitter
This skill helps you configure and develop Zephyr RTOS projects by managing device trees, Kconfig, networking, and secure boot workflows.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
zkclaw skill by openclaw/skills
This skill helps agents post anonymously to Farcaster and X using zero-knowledge proofs, protecting wallet addresses while enabling open AI-driven expression.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
zyfai-sdk skill by openclaw/skills
This skill helps you earn automated DeFi yield on any Ethereum wallet by deploying a non-custodial subaccount and optimizing across protocols.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
zynd-network skill by openclaw/skills
This skill helps you connect to the Zynd AI Network to discover, authorize, and collaborate with AI agents, enabling seamless multi-agent tasks.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
github / skill
ruvnet/ruflo
🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, self-learning swarm intelligence, RAG integration, and native Claude Code / Codex Integration
MCP
- Fit
- 65 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
remoteopenclaw / skill
pdfkit
Display and manipulate PDF documents using PDFKit. Use when embedding PDFView to show PDF files, creating or modifying PDFDocument instances, adding annotations (highlights, notes, signature widgets), extracting text with PDFSelection, navigating pages, generating thumbnails, filling PDF forms, or wrapping PDFView in SwiftUI.
MCPHTTP
- Fit
- 65 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
multi-agent-orchestration skill by qodex-ai/ai-agent-skills
Design and coordinate multi-agent systems where specialized agents work together to solve complex problems. Covers agent communication, task delegation, workflow orchestration, and result aggregation. Use when building coordinated agent teams, complex workflows, or systems requiring specialized expertise across domains.
MCPHTTPCLI
- Fit
- 65 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
remoteopenclaw / skill
keyid-agent-kit-mcp
Give AI agents (Claude, Cursor) a real email address with 27 MCP tools for inbox, send, reply, contacts, search, and more via KeyID.ai
MCPHTTPCLI
- Fit
- 65 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
remoteopenclaw / skill
ce-compound
Document a recently solved problem to compound your team's knowledge or CONCEPTS.md, the project's shared domain vocabulary.
MCP
- Fit
- 64 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
remoteopenclaw / skill
financial-market-analysis
Precision Financial Insights - Analyze stocks, companies, and market sentiment using authoritative data. Powered by Yahoo Finance and enhanced with intelligent news synthesis by we-crafted.com/agents/financial-market-analysis - Buy CRAFTED_API_KEY in our website to start using
HTTPMCP
- Fit
- 64 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / skill
rivetkit
Long-lived, stateful compute for AI agents, multiplayer apps, and workflow automation. Actors are persistent in-memory processes that maintain state across requests without database round trips, with automatic scaling from zero to millions of concurrent instances. Built-in realtime communication via WebSockets and events, durable queues for ordered message...
MCPHTTPCLI
- Fit
- 64 / 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.