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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
333page
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
mcpservers / tool
Redis MCP Server
A natural language interface for agentic applications to manage and search data in Redis. Browse Redis MCP Server for Claude, Cursor, VS Code, and other...
MCPCLISDK
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
reef skill by openclaw/skills
This skill enables secure agent-to-agent messaging via XMTP, enabling discovery, reputation checks, and trusted network management for coordinated AI
MCPCLIA2A
- Fit
- 61 / 100
- Trust
- Needs review
- Install
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playbooks / skill
refactoring-assistant skill by a5c-ai/babysitter
This skill suggests refactoring patterns and guides their application to improve code quality, maintainability, and migration readiness.
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
registry-broker-skills skill by openclaw/skills
This skill helps you discover, connect to, and register AI agents across Hashgraph Registry Broker networks to accelerate collaboration.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
regression-testing skill by proffesor-for-testing/agentic-qe
This skill streamlines regression testing by analyzing changes, selecting risk-based tests, and optimizing execution for rapid, reliable feedback.
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
reinforcement-learning skill by omer-metin/skills-for-antigravity
This skill helps you implement reinforcement learning algorithms and tune agents using rewards, policy gradients, PPO, Q-learning, and RLHF in Python.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
Relevance AI
The leading AI Workforce platform that delivers human-quality work
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / skill
remember
Persistent, domain-organized memory system that captures lessons learned across VS Code projects. Stores reusable knowledge in two scopes: global (all projects) or workspace-specific, automatically organizing learnings by domain Uses simple syntax ( /remember [>domain [scope]] lesson ) to transform debugging sessions and hard-won discoveries into searchable...
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Verified source
- Install
- MCP ready
Review links
playbooks / skill
remote-browser-service skill by openclaw/skills
This skill lets you remotely control a Chrome browser in Kubernetes via HTTP, enabling web automation, data extraction, and page inspection for AI agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- 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.