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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
347page
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
skill-creator skill by langchain-ai/deepagents
This skill guides you in creating effective skills that extend agent capabilities with specialized knowledge, workflows, and tool integrations.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
skill-creator skill by sammcj/agentic-coding
This skill guides you to craft effective Claude Skills by clarifying metadata, workflows, and reference structure for reliable agent extensions.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
skill-creator-primer skill by sammcj/agentic-coding
This skill helps you author and optimize skills efficiently by guiding structure, loading levels, and ensuring reliable activation for Claude.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
skill-creator-vault-enhancement skill by openclaw/skills
This skill guides you in creating or updating AgentSkills, outlining structure, scripts, and references for robust, reusable AI capabilities.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
skill-cross-agent skill by openclaw/skills
This skill enables cross-machine collaboration by distributing tasks to OpenClaw agents over SSH for multi-host execution and results retrieval.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
skill-guard skill by openclaw/skills
This skill pre-screens ClawHub skills before install, detecting prompt injections, secrets, and data exfiltration to prevent compromised agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
skill-maker skill by xbklairith/kisune
Use when creating new skills or editing existing skills - combines official skill authoring best practices with TDD methodology (test with subagents before deployment, iterate until bulletproof). Activates when user wants to create/update a skill that extends Claude's capabilities.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
skill-orchestra skill by openclaw/skills
This skill routes tasks to agents by skill demand and cost, improving accuracy and reducing learning expenses through skill-aware modeling.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
skill-review-registry skill by openclaw/skills
This skill helps agents publish, read, and compare versioned skill reviews in a public registry for OpenClaw.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
skill-specification skill by plurigrid/asi
This skill standardizes cross-platform agent capabilities to ensure evolutionarily robust performance across Claude, Codex, Cursor, Amp, and future agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
skills skill by daydreamsai/skills-market
This skill helps you design and deploy B2A agents by focusing on structured data endpoints, pricing, and programmatic access for agent-to-agent commerce.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
skills-3 skill by openclaw/skills
This skill helps you integrate AI agents into Python projects, enabling debugging, security audits, and runtime analysis with simple console.agent usage.
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.