~/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
203page
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
agents-autogpt skill by vadimcomanescu/codex-skills
This skill helps you build and deploy continuous autonomous agents with a visual flow editor and modular blocks for rapid automation.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agents-infra skill by openclaw/skills
This skill helps you manage AI agent infrastructure including phone, email, compute, and domains with seamless x402 payments.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agents-langchain skill by vadimcomanescu/codex-skills
This skill helps you build LLM-powered agents, chains, and RAG pipelines with LangChain, enabling tool calling, memory, and rapid prototyping.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agents-llamaindex skill by vadimcomanescu/codex-skills
This skill helps you leverage LlamaIndex to build retrieval-augmented generation apps, ingest data, and query private knowledge efficiently.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agents-md skill by dimitrigilbert/ai-skills
This skill helps you create, verify, and improve AGENTS.md files with progressive disclosure and concise root guidance.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agents-md skill by getsentry/skills
This skill helps you maintain AGENTS.md concisely by referencing local skills and applying minimal, header-driven documentation guidelines.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agents-md-generator skill by jthoms1/builder-skills
Generate comprehensive agents.md files for Builder.io Fusion projects. Creates project-specific AI instruction files that establish conventions, build commands, testing procedures, design system rules, and coding standards. Use when setting up a new project, onboarding a repository to AI-assisted development, or improving AI code generation quality.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agents-md-generator skill by julianromli/ai-skills
This skill generates hierarchical AGENTS.md structures optimized for AI coding agents with lightweight roots and detailed sub-folder guidance.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agents-skill-podcastifier skill by openclaw/skills
This skill converts incoming text into a short, chunked TTS podcast with intro/outro, using ffmpeg for seamless concat.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
AgentScale AI
AgentScale AI empowers businesses with cutting-edge automation solutions using robotic process automation, large language models and AI agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentscope-java skill by agentscope-ai/agentscope-java
This skill helps you implement reactive Java agents with AgentScope, ensuring non-blocking pipelines, tool integration, and production-ready multi-agent
MCPHTTPCLI
- Fit
- 61 / 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.