/models
List and compare RunAPI models by modality, service, or action.
$ npx -y skills add wshobson/agents --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/models
Context preview
What this command does when you run it.
List and compare RunAPI models by modality, service, or action.
Command definition
models.mddescription: >- List and compare RunAPI models by modality, service, or action. argument-hint: "[modality|service|action]"
RunAPI Models
List current RunAPI models from the embedded catalog.
Instructions
1. Interpret `$ARGUMENTS` as a modality, service, action, or free-form filter. 2. Call `mcp__runapi__list_models` with the narrowest matching filter. 3. Present a compact table with model slug, service, action, modality, and required fields. 4. If the user asks about one model, call `mcp__runapi__get_model_info`; include service and action when the row is already known. 5. If the user asks about cost, call `mcp__runapi__check_pricing`.
Keep output concise.
Production-ready agentic workflow building blocks: 94 plugins, 203 agents, 175 skills, 109 commands — built for Claude Code and consumed natively by OpenAI Codex CLI, Cursor, OpenCode, Gemini CLI, and GitHub Copilot from a single Markdown source.
Repo: wshobson/agents
Other commands on wshobson-agents.
- /accessibility-audit
You are an accessibility expert specializing in WCAG compliance, inclusive design, and assistive technology compatibility. Conduct comprehensive audits, identify barriers, provide remediation guidance, and ensure digital products are accessible to all users.
Open command - /improve-agent
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
Open command - /multi-agent-optimize
The Multi-Agent Optimization Tool is an advanced AI-driven framework designed to holistically improve system performance through intelligent, coordinated agent-based optimization. Leveraging cutting-edge AI orchestration techniques, this tool provides a comprehensive approach to
Open command - /team-debug
Debug issues using competing hypotheses with parallel investigation by multiple agents
Open command - /team-delegate
Task delegation dashboard for managing team workload, assignments, and rebalancing
Open command - /team-feature
Develop features in parallel with multiple agents using file ownership boundaries and dependency management
Open command

