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clawhub

DanceTempo / DanceTech Protocol — full repo context via public/llm-full.txt (or /llm-full.txt), tribal debugging via CLAWHUB.md, Tempo + MPP/x402 patterns, dance-extras live routes, EVVM on Tempo testnet. Use when: (1) Onboarding an agent or pasting system context, (2) Debugging 402/MPP, stale API, or port 8787 issues, (3) Editing docs that feed llm-full.txt, (4) Working on hub routes, server/index.js, or integrations (AgentMail, purl, OpenAI MPP, etc.), (5) EVVM deploy/docs, (6) Preparing a ClawHub or Copilot instruction bundle, (7) MPPScan/OpenAPI discovery at GET /openapi.json. For raw EVVM protocol depth, fetch https://www.evvm.info/llms-full.txt (not vendored in-repo).

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/arunnadarasa/dancetempo
Or

What This Skill Does

The ClawHub skill serves as the primary intelligence layer for the DanceTempo and DanceTech Protocol ecosystem within OpenClaw. It acts as an authoritative roadmap for developers and agents, mapping out the architecture of the DanceTempo superapp, its React-based frontend hub, Node/Express backend, and the intricacies of Tempo settlement and MPP/x402 machine payments. By centralizing context from public/llm-full.txt and CLAWHUB.md, the skill prevents common pitfalls such as stale API processes, port 8787 conflicts, and misconfigured payment handlers. It effectively bridges the gap between raw codebase repository files and the high-level operational knowledge required for agentic workflows, including EVVM deployment, OpenAPI discovery, and live route verification.

Installation

To integrate this skill into your environment, use the OpenClaw CLI to fetch it directly from the authoritative source. Execute the following command in your terminal: clawhub install openclaw/skills/skills/arunnadarasa/dancetempo. Alternatively, for manual local setups, you may copy the directory structure to ~/.openclaw/skills/dancetempo-clawhub. Ensure that your environment includes the references/ and scripts/ directories to enable the full suite of build and discovery hooks, and always verify that your npm run build:llm process is active before deployments.

Use Cases

This skill is indispensable when working with complex distributed systems. Use ClawHub to manage agent onboarding by providing them with the full project context via llm-full.txt. It is the definitive resource for debugging 402 payment errors or MPP settlement failures by cross-referencing CLAWHUB.md incidents with server/index.js route logic. Additionally, use this skill to streamline documentation updates, ensuring that any changes to hub routes are properly reflected in the bundle. It also provides deep access to EVVM protocols and Tempo testnet configurations for developers scaling their infrastructure.

Example Prompts

  1. "@clawhub Can you help me debug why my MPP payment at /api/dance-extras/live is returning a 402 error? Check server/index.js for me."
  2. "@clawhub I've updated the README. Please run the script to refresh the llm-full.txt context bundle so my agent has the latest documentation."
  3. "@clawhub Explain the deployment steps for the EVVM protocol on the Tempo testnet using the provided documentation in the repo."

Tips & Limitations

Always check CLAWHUB.md before initiating major refactors, as it tracks previous system failures and successful resolutions. Note that ClawHub provides high-level orchestration; for deep-protocol EVVM raw data, it relies on external URI fetching from evvm.info rather than local vendor files. If you encounter a 404 on the API, verify that the server is active on port 8787 before assuming a route configuration error. Finally, keep your public/llm-full.txt up to date by running npm run build:llm frequently, as agents are only as capable as the context you provide.

Metadata

Stars4473
Views1
Updated2026-05-01
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-arunnadarasa-dancetempo": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#dancetech#mpp#tempo#evvm#clawhub
Safety Score: 4/5

Flags: file-read, code-execution, network-access