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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
205page
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
agent-patterns skill by willsigmon/sigstack
This skill helps you decide when to spawn agents versus work directly, enabling parallelism, specialization, and token-efficient workflows.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-pr-manager skill by ruvnet/ruflo
This skill orchestrates multi agent PR workflows, automating reviews, tests, and merges to accelerate code delivery.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-republic skill by openclaw/skills
This skill lets humans and agents manage Agent Republic with a single script, simple credentials, and clear commands for registration, elections, and bots.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-security skill by openclaw/skills
This skill helps secure AI agents by auditing secrets, permissions, API key storage, prompt injection risks, and access patterns in your workspace.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-security-monitor skill by openclaw/skills
This skill helps AI agents detect security risks and alert on exposed secrets, unverified skills, and suspicious activity to protect supply chains.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-skill-creator skill by francyjglisboa/agent-skill-creator
This skill helps you create production-ready agents or agent suites autonomously, guiding discovery, design, architecture, and implementation for scalable
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-skills skill by third774/dotfiles
This skill helps create, modify, and review Agent Skills to ensure RFC 2119 compliance and progressive disclosure for efficient asset organization.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-slack skill by devxoul/agent-messenger
This skill enables AI agents to manage Slack workspaces, send messages, fetch channels, and handle reactions, boosting productivity across teams.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-sona-learning-optimizer skill by ruvnet/ruflo
This skill optimizes learning and memory for agents by applying LoRA fine-tuning, EWC++, and pattern discovery to boost quality with minimal overhead.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-swarm skill by ruvnet/ruflo
This skill orchestrates scalable AI agent swarms in Flow Nexus, deploying specialized agents, coordinating tasks, and optimizing performance across topologies.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-teams skill by athola/claude-night-market
This skill coordinates multiple Claude Code agents via a filesystem-based protocol to manage parallel tasks, dependencies, and coordinated reviews.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-teams skill by devxoul/agent-messenger
This skill helps AI agents manage Microsoft Teams interactions by sending messages, reading channels, and handling multi-team tokens efficiently.
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.