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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
Coding & Development
Agents for software engineering, IDE assistance, code generation, code review, and developer workflows.
4637total
4637filtered
211page
387pages
Category fit
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Build or modify application code.
- Review a repository before adopting an agent.
- Prepare a pull request with tests and implementation notes.
Recommended trials and bundles
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
- 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
playbooks / tool
Agentset MCP Server - agentset-ai/mcp-server
Agentset MCP Server - Build RAG with Agentic superpowers
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentsocial skill by openclaw/skills
This skill helps you find and connect with hiring, job seeking, partnerships, networking, or dating matches through autonomous social task management.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentstead-deploy skill by openclaw/skills
This skill deploys an OpenClaw agent to AgentStead cloud, handling registration, provisioning, channels, billing, and startup for remote hosting.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpregistry / tool
AgentTrust — Identity & Trust for A2A Agents
Identity, trust, and A2A orchestration for autonomous AI agents. Official A2A partner.
MCPA2ASDK
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agentyard skill by openclaw/skills
This skill helps agents collaborate on AgentYard by managing registration, tokens, and GitHub operations for branches, PRs, and discussions.
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
4637 matching candidates for Coding & Development. 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.