~/agentstafferAgentStaffer
Find, trial, compare, and govern AI agents before hiring
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
122page
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
microsoft-ads-mcp skill by openclaw/skills
This skill helps you manage Microsoft Advertising campaigns programmatically, streamlining accounts, campaigns, ads, and reporting for faster optimization.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
microsoft-code-reference skill by github/awesome-copilot
This skill helps you find official Microsoft API references, working code samples, and correct SDK usage to troubleshoot and implement Azure, .NET, and Graph
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Verified source
- Install
- MCP ready
Review links
playbooks / skill
microsoft-code-reference skill by mindmorass/reflex
Search and reference Microsoft code samples and SDK documentation
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
microsoft-skill-creator skill by github/awesome-copilot
This skill helps you create hybrid Microsoft technology skills that store essential knowledge locally while enabling dynamic deeper Lookups.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Verified source
- Install
- MCP ready
Review links
playbooks / skill
migrate-oai-app skill by tldraw/tldraw
This skill guides migrating OpenAI Apps SDK projects to the MCP Apps SDK with step-by-step mappings and API reference.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
mintlify skill by bankkroll/skills-builder
This skill helps you quickly navigate Mintlify docs to find agent, ai, api, authentication, and component guidance.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
miro-sdk skill by openclaw/skills
This skill provides a complete reference for building Miro Web SDK plugins and desktop apps, covering core APIs, authentication, events, and best practices.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
mistral-local-dev-loop skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps you set up a fast Mistral local development loop with hot reload, tests, and structured project scaffolding.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / tool
mistral-mcp Server
MCP server exposing the full Mistral AI surface (chat, OCR, Codestral FIM, Voxtral audio, vision, agents, moderation, classification, files, batch). Stdio...
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
mistral-reference-architecture skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps you design robust Mistral AI integrations by enforcing reference architecture patterns, project layout, and best practices.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
mistral-security-basics skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps you secure Mistral AI secrets and enforce least-privilege access by validating keys, rotating credentials, and auditing configurations.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
MIT
Improving Factuality and Reasoning in Language Models through Multiagent Debate
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.