openclaw - 💡(How to fix) Fix RFC: `@openclaw/skill-panel-ask` — broadcast a single intent across multiple AI voices in parallel with cross-family discipline [1 comments, 2 participants]

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openclaw/openclaw#75787Fetched 2026-05-02 05:30:11
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Fix Action

Fix / Workaround

The skill:

  1. Dispatches the prompt to every voice in parallel through that voice's own working surface (CLI, web Chrome, native Mac app, or local Ollama).
  2. Each voice writes a reply artifact to disk: <Label>-<Voice>-<Date>.md.
  3. If mode: "synthesize", folds the panel into one consolidated answer with the hard rule that the synthesizer voice cannot share family with the dominant contributor. (This is enforced in code via selectSynthesizer(), not as a configuration guideline.)

Already scaffolded as extensions/skill-panel-ask/ in my fork. 13 files, 14/14 tests pass, oxfmt clean, typecheck clean. First iteration delegates dispatch to a battle-tested .mjs script via subprocess; Stage 3 follow-on lifts dispatch into TS and removes the subprocess hop. Voice ids stay stable; PanelAskInput/PanelAskOutput don't change.

Code Example

{
  "tool": "panel_ask",
  "args": {
    "prompt": "...",
    "voices": ["claude-cli", "chatgpt-web", "gemini-cli", "grok-web"],
    "mode": "synthesize"
  }
}
RAW_BUFFERClick to expand / collapse

OpenClaw today is one provider at a time. Most multi-agent frameworks treat the model layer the same way. But the moment a user has multiple subscriptions (Anthropic Max, ChatGPT Plus, Google AI Pro, Perplexity Pro, xAI), they have a panel — independent priors, different RLHF reward shapes, different refusal policies. The panel surfaces real disagreement before it becomes a one-voice failure mode. It also gives outage resilience: when any one provider goes down, the others still answer.

I've been running this pattern in production on a personal openclaw fork for weeks (15 voices across 6 families, with both raw + synthesize modes). I'd like to contribute it upstream as @openclaw/skill-panel-ask.

What it does

Registers a panel_ask agent tool. Input:

{
  "tool": "panel_ask",
  "args": {
    "prompt": "...",
    "voices": ["claude-cli", "chatgpt-web", "gemini-cli", "grok-web"],
    "mode": "synthesize"
  }
}

The skill:

  1. Dispatches the prompt to every voice in parallel through that voice's own working surface (CLI, web Chrome, native Mac app, or local Ollama).
  2. Each voice writes a reply artifact to disk: <Label>-<Voice>-<Date>.md.
  3. If mode: "synthesize", folds the panel into one consolidated answer with the hard rule that the synthesizer voice cannot share family with the dominant contributor. (This is enforced in code via selectSynthesizer(), not as a configuration guideline.)

Cross-family discipline

If three Anthropic voices reply and Anthropic is also the synthesizer, the synthesis is just one model nodding at itself. The skill rejects that configuration at run time.

Scaffold

Already scaffolded as extensions/skill-panel-ask/ in my fork. 13 files, 14/14 tests pass, oxfmt clean, typecheck clean. First iteration delegates dispatch to a battle-tested .mjs script via subprocess; Stage 3 follow-on lifts dispatch into TS and removes the subprocess hop. Voice ids stay stable; PanelAskInput/PanelAskOutput don't change.

Happy to send a PR if there's interest. Would appreciate guidance on:

  • Should this be a first-class openclaw skill (openclaw skills run ...) or a tool plugin (tool: panel_ask)?
  • Naming: @openclaw/skill-panel-ask or @openclaw/panel-ask?

extent analysis

TL;DR

Consider implementing the panel_ask agent tool as a first-class OpenClaw skill to leverage its features and simplify user interaction.

Guidance

  • Evaluate the trade-offs between implementing panel_ask as a first-class OpenClaw skill versus a tool plugin, considering factors like user experience and code organization.
  • Review the naming convention for the package, @openclaw/skill-panel-ask or @openclaw/panel-ask, to ensure consistency with existing OpenClaw packages.
  • Assess the potential benefits of lifting the dispatch into TypeScript and removing the subprocess hop in the Stage 3 follow-on.
  • Consider the implications of the hard rule in the synthesizer voice selection and its enforcement via selectSynthesizer().

Example

No code snippet is provided as the issue does not require a specific code example to illustrate the guidance.

Notes

The decision to implement panel_ask as a first-class skill or tool plugin depends on the specific requirements and goals of the OpenClaw project. The naming convention should follow the established standards to avoid confusion.

Recommendation

Apply the workaround of implementing panel_ask as a first-class OpenClaw skill, as it seems to be the more integrated and user-friendly approach, allowing for simpler user interaction and potential future extensions.

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