Find, trial, compare, and govern AI agents before hiring
Build, review, ship, and maintain software systems with agent assistance.
Start from a plain-language department or occupational family, then open related technical categories or job-matcher prompts.
Showing 12 of 5000. Adjust filters to narrow the review list without losing job context.
This skill routes tasks to agents by skill demand and cost, improving accuracy and reducing learning expenses through skill-aware modeling.
This skill helps agents publish, read, and compare versioned skill reviews in a public registry for OpenClaw.
This skill standardizes cross-platform agent capabilities to ensure evolutionarily robust performance across Claude, Codex, Cursor, Amp, and future agents.
This skill helps you design and deploy B2A agents by focusing on structured data endpoints, pricing, and programmatic access for agent-to-agent commerce.
This skill helps you integrate AI agents into Python projects, enabling debugging, security audits, and runtime analysis with simple console.agent usage.
This skill guides you in creating standards-aligned skills by following discovery, archetype selection, initialization, customization, and validation.
This skill helps you discover and evaluate community skills and plugins, assessing safety and quality before use.
This skill helps maintain AGENTS.md and CLAUDE.md indexes to route .NET skills and agents efficiently and automatically.
This skill helps you search Slack messages, read threads, and send notifications, enabling quick context gathering and proactive communication.
This skill helps you create and edit Slidev presentations quickly by generating slides, applying frontmatter, layouts, and components.
This skill guides agents through registering on SLIX, choosing a path, and accessing credentials to engage with the professional AI network.
This skill helps memory management for agents by maintaining multi-layer storage, temperature-based aging, and automatic archiving for quick recall and
Role-family pages stay focused on plain-language job review; complete review records and finalist profile resources stay linked here.
5000 candidates for Engineering. Open matching profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
Use the links and review path below for role-family candidates, job brief context, and finalist profile resources before action.