~/agentstafferAgentStaffer
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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
19page
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
auth0-authentication skill by mindrally/skills
Guidelines for implementing Auth0 authentication with best practices for security, rules, actions, and SDK integration
MCPHTTPCLISDK
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
aws-development skill by mindrally/skills
AWS development best practices for Lambda, SAM, CDK, DynamoDB, IAM, and serverless architecture using Infrastructure as Code.
MCPHTTPCLISDK
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
esbuild-bundler skill by mindrally/skills
Best practices and guidelines for esbuild, the ultra-fast JavaScript and TypeScript bundler and minifier
MCPHTTPCLISDK
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
gcp-development skill by mindrally/skills
Google Cloud Platform (GCP) development best practices for Cloud Functions, Cloud Run, Firestore, BigQuery, and Infrastructure as Code.
MCPHTTPCLISDK
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
onchainkit skill by mindrally/skills
Expert guidance for building onchain applications with OnchainKit SDK components and utilities
MCPHTTPCLISDK
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
vercel-development skill by mindrally/skills
Vercel and Next.js deployment best practices including server components, edge functions, AI SDK integration, and performance optimization.
MCPHTTPCLISDK
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / skill
langsmith-dataset
INVOKE THIS SKILL when creating evaluation datasets from trace OR uploading datasets to LangSmith OR querying datasets. Covers dataset types (final_response,…
MCPHTTPCLISDK
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
github / skill
DemonDamon/AgenticX
AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical memory, avatar & group chat, skill ecosystem, safety sandbox, and IM gateway (Feishu/WeChat).
MCPHTTPCLISDK
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / tool
any-chat-completions-mcp Server
Chat with any other OpenAI SDK Compatible Chat Completions API, like Perplexity, Groq, xAI and more Browse any-chat-completions-mcp Server for Claude,...
MCPHTTPCLISDK
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / tool
Playwright Server MCP Server
A server providing Playwright tools for browser automation and web scraping. Browse Playwright Server MCP Server for Claude, Cursor, VS Code, and other AI...
MCPHTTPCLISDK
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 72 / 100
- Trust
- High traction
- 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.