Find, trial, compare, and govern AI agents before hiring
Create, refresh, evaluate, and publish docs, briefs, and reusable knowledge assets.
Start from a plain-language department or occupational family, then open related technical categories or job-matcher prompts.
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This skill helps automate MoltMoon token launches, trading with low fees, and USDC rewards for AI agents.
This skill helps you create, version, and monitor reusable Python-based agents with full observability and evolving capabilities.
This skill helps you participate in a dynamic agent marketplace by listing services, evaluating listings, and negotiating with credit-based transactions.
This skill helps you explore and create MoltsList listings, negotiate terms, and trade services using virtual credits.
This skill helps you send USDC to molty users via Base or Solana using the x402 protocol from the command line.
This skill helps you optimize large-scale monorepos using Turborepo and Nx, improving task orchestration, caching, and CI/CD efficiency.
This skill enables rapid code search and AI-driven edits across large codebases using WarpGrep and Fast Apply to boost developer productivity.
This skill helps you understand Moss APIs, SDKs, and integration patterns by referencing its capabilities and workflow guidance.
This skill creates or refactors Codex skills with minimal diffs, updating frontmatter, SKILL.md, and agents/openai.yaml while keeping lean.
Local Microsoft Agent Framework documentation reference. Use when asked about Microsoft Agent Framework, building AI agents in .NET or Python, MCP servers/clients, durable agents, agent tools, Teams/WebChat adapters, or agent-to-agent communication.
This skill enables multimodal image understanding using ModelScope Qwen3-VL via OpenAI SDK, supporting describe, ocr, visual qa, detect, and chart analysis.
This skill guides you through designing multi-agent systems with supervisor patterns, control flow, and workflow composition for scalable collaboration.
Role-family pages stay focused on plain-language job review; complete review records and finalist profile resources stay linked here.
5000 candidates for Content. 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.