Use this skill when the user wants to launch a new AltClaw, OpenClaw, PicoClaw, or Ottie deployment through Cloud Claw. Covers the same user-facing fields and constraints exposed in the Cloud Claw UI, using the local altllm cloud-claw-* commands. Do NOT use for post-launch lifecycle tasks like start/stop/delete/logs; use cloud-claw-manage-vm.
npx skills add https://github.com/internet-court/internet-court-skill --skill cloud-claw-launch-agent
Use this skill for the new deployment workflow exposed in the Cloud Claw UI, via the local CLI commands in this repository.
The implementation source of truth is the sibling repository:
../cloud-claw> Before using this skill, read:
> - ../_shared/cloud-claw-preflight.md
> - ../_shared/cloud-claw-api-surface.md
| Agent Type | Internal Value | User-facing Notes |
|---|---|---|
| OpenClaw | openclaw | paid-tier path, Telegram + web dashboard |
| PicoClaw | picoclaw | Telegram-only |
| Ottie | aintern | Telegram-only, self-evolving fork path |
altllm cloud-claw-deploy.name must match ^[a-z0-9-]+$ and max length 63.agentType must be one of:openclawpicoclawainternpicoclaw and aintern require TELEGRAM_BOT_TOKEN.openclaw uses OPENCLAW_MODEL.altllm/altllm-standardaltllm/altllm-megaSee references/cli-reference.md for payload examples and expected responses.
Skill converted from mcp-deploy-manage-agents.prompt.md
Build hosted agents using Azure AI Projects SDK with ImageBasedHostedAgentDefinition. Use when creating container-based agents in Azure AI Foundry.
Build MCP (Model Context Protocol) servers on Cloudflare Workers with tools, resources, and prompts.
Chain agent outputs as inputs in sequential or parallel pipelines for data flow orchestration
Audit cloned or reimplemented websites for fidelity gaps, tracking scripts, source-brand and language residue, placeholders, and risky external dependencies. Use before handoff or deployment, or when asked to review a website clone for cleanup and readiness.
> Install and operate Hermes Tweet, a Hermes Agent plugin for X/Twitter research, timeline reading, tweet analysis, and approval-gated tweet actions. Use this skill when installing Hermes Tweet, researching X/Twitter accounts, monitoring launch signals, investigating mentions, auditing giveaways, or preparing guarded tweet actions. Use proactively when a Hermes Agent workflow needs current X/Twitter context. Requires XQUIK_API_KEY for read and action tools.
Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and continuous monitoring. Use when the user mentions create evaluator, LLM judge, hallucination, faithfulness, correctness, relevance, run eval, score spans, score experiment, trigger-run, column mapping, continuous monitoring, or improve evaluator prompt.
This skill should be used when the user wants to build an "MCP app", add "interactive UI" or "widgets" to an MCP server, "render components in chat", build "MCP UI resources", make a tool that shows a "form", "picker", "dashboard" or "confirmation dialog" inline in the conversation, or mentions "apps SDK" in the context of MCP. Use AFTER the build-mcp-server skill has settled the deployment model, or when the user already knows they want UI widgets.
Take internet-court/cloud-claw-launch-agent from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.