Crawler Summary

panel-debate answer-first brief

Hosts interactive expert panel discussions on any topic. Dynamically generates diverse master-level expert personas, facilitates structured multi-round debate using Hegelian dialectic patterns, and synthesizes actionable consensus. Useful for exploring complex topics, making architectural decisions, evaluating trade-offs, or seeking diverse expert perspectives on strategic questions. --- name: panel-debate description: > Hosts interactive expert panel discussions on any topic. Dynamically generates diverse master-level expert personas, facilitates structured multi-round debate using Hegelian dialectic patterns, and synthesizes actionable consensus. Useful for exploring complex topics, making architectural decisions, evaluating trade-offs, or seeking diverse expert perspectives on strategic questi Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

panel-debate is best for general automation workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 94/100

panel-debate

Hosts interactive expert panel discussions on any topic. Dynamically generates diverse master-level expert personas, facilitates structured multi-round debate using Hegelian dialectic patterns, and synthesizes actionable consensus. Useful for exploring complex topics, making architectural decisions, evaluating trade-offs, or seeking diverse expert perspectives on strategic questions. --- name: panel-debate description: > Hosts interactive expert panel discussions on any topic. Dynamically generates diverse master-level expert personas, facilitates structured multi-round debate using Hegelian dialectic patterns, and synthesizes actionable consensus. Useful for exploring complex topics, making architectural decisions, evaluating trade-offs, or seeking diverse expert perspectives on strategic questi

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 15, 2026

Vendor

Wyattowalsh

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Setup snapshot

git clone https://github.com/wyattowalsh/panel-debate-skill.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Wyattowalsh

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 15, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Parameters

Executable Examples

text

- [ ] Complexity scored (5-15)
- [ ] Experts generated (diversity score ≥60/85)
- [ ] Opening round complete
- [ ] Cross-examination complete
- [ ] Synthesis generated
- [ ] Final report produced

text

COMPLEXITY_CHECK → EXPERT_GENERATION → DISCUSSION → SYNTHESIS → REPORT
      ↓                                     ↑
[5-7: Warn+Offer direct answer]      [Multiple rounds]

text

🎤 Expert (Role): "[Initial position, 3-5 sentences]"

text

📋 Round N Synthesis:
   • Agreement: [point]
   • Tension: [disagreement]
   • Open question: [needs exploration]

text

╭─ Panel Discussion: [Topic] ────────────────────────────────╮
│ Experts: [Name] ([Role]), [Name] ([Role]), [Name] ([Role]) │
╰────────────────────────────────────────────────────────────╯

text

╭───────────────────────────────────────────────────────────╮
│ [1] Continue  [2] Follow-up  [3] Redirect  [4] Conclude   │
╰───────────────────────────────────────────────────────────╯

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Hosts interactive expert panel discussions on any topic. Dynamically generates diverse master-level expert personas, facilitates structured multi-round debate using Hegelian dialectic patterns, and synthesizes actionable consensus. Useful for exploring complex topics, making architectural decisions, evaluating trade-offs, or seeking diverse expert perspectives on strategic questions. --- name: panel-debate description: > Hosts interactive expert panel discussions on any topic. Dynamically generates diverse master-level expert personas, facilitates structured multi-round debate using Hegelian dialectic patterns, and synthesizes actionable consensus. Useful for exploring complex topics, making architectural decisions, evaluating trade-offs, or seeking diverse expert perspectives on strategic questi

Full README

name: panel-debate description: > Hosts interactive expert panel discussions on any topic. Dynamically generates diverse master-level expert personas, facilitates structured multi-round debate using Hegelian dialectic patterns, and synthesizes actionable consensus. Useful for exploring complex topics, making architectural decisions, evaluating trade-offs, or seeking diverse expert perspectives on strategic questions. license: MIT compatibility: Designed for Claude Code. Requires terminal with Unicode support. metadata: author: wyattowalsh version: "1.0"

Panel Discussion Skill

Generate diverse expert personas, facilitate structured debate, and synthesize actionable recommendations.

Arguments

Parse $ARGUMENTS:

  • size:N → panel size (3-7, default: auto based on breadth)
  • depth:X → quick (1 round), standard (2-3), deep (4+)
  • style:X → collaborative, adversarial, academic
  • Remaining text → topic

Workflow Progress

Copy and update this checklist as you proceed:

- [ ] Complexity scored (5-15)
- [ ] Experts generated (diversity score ≥60/85)
- [ ] Opening round complete
- [ ] Cross-examination complete
- [ ] Synthesis generated
- [ ] Final report produced

Flow

COMPLEXITY_CHECK → EXPERT_GENERATION → DISCUSSION → SYNTHESIS → REPORT
      ↓                                     ↑
[5-7: Warn+Offer direct answer]      [Multiple rounds]

Complexity Check

Score the topic on 5 dimensions (1-3 each):

| Dimension | 1 (Low) | 2 (Medium) | 3 (High) | |-----------|---------|------------|----------| | Stakeholders | Single group | 2-3 groups | 4+ groups | | Trade-offs | Clear winner | 1-2 trade-offs | 3+ trade-offs | | Time horizon | Immediate only | Months | Years | | Reversibility | Easily reversed | Partially | Irreversible | | Domain breadth | Single domain | 2 domains | 3+ domains |

Total = sum of 5 dimensions (range 5-15)

| Score | Action | |-------|--------| | 5-7 | Warn: "This may not benefit from panel discussion." Offer [1] Proceed [2] Direct answer | | 8-11 | Standard panel (3-4 experts, 2 rounds) | | 12-15 | Deep panel (5-7 experts, 3+ rounds). Load all reference files. |

Expert Generation

Load detailed algorithms: Read references/expert-generation.md

Required archetypes (every panel):

  1. Contrarian - challenges consensus, offers alternatives
  2. Synthesizer - connects perspectives, finds common ground
  3. Specialist - deep domain expertise, grounds discussion

Additional: Optimist, Skeptic, Pragmatist, Theorist

Panel size by breadth:

  • Narrow (single tech): 3-4 experts
  • Medium (cross-functional): 4-5 experts
  • Broad (strategic): 5-7 experts

Diversity score ≥60 required (additive, max 85):

  • All 3 required archetypes present: +20
  • No single archetype >30% of panel: +10
  • 4+ distinct archetypes: +10
  • 2+ knowledge domains: +15
  • Optimist + Skeptic both present: +15
  • User/external perspective included: +15

Validation: After generating experts, compute diversity score. If <60, regenerate or add experts until threshold met. Do NOT proceed with score <60.

Discussion Phases

Load turn-taking mechanics: Read references/turn-taking.md

Phase 1: Opening (Thesis)

🎤 Expert (Role): "[Initial position, 3-5 sentences]"

Phase 2: Cross-Examination (Antithesis)

Experts challenge and build. Patterns: Question→Response, Claim→Counter-claim, Challenge→Defense.

Contrarian protection: Before any synthesis, ask: "Before we synthesize, [Contrarian], what are we missing?"

Phase 3: Synthesis

Load synthesis patterns: Read references/synthesis-patterns.md

📋 Round N Synthesis:
   • Agreement: [point]
   • Tension: [disagreement]
   • Open question: [needs exploration]

Convergence: End early if all agree or cycling. Extend if major tension unexplored.

Validation: After synthesis, verify no "it depends" statements appear without specifying the context factors it depends on. If found, rewrite with decision criteria.

Output Formats

Load formatting specs: Read references/output-formats.md

Panel Header

╭─ Panel Discussion: [Topic] ────────────────────────────────╮
│ Experts: [Name] ([Role]), [Name] ([Role]), [Name] ([Role]) │
╰────────────────────────────────────────────────────────────╯

User Menu

╭───────────────────────────────────────────────────────────╮
│ [1] Continue  [2] Follow-up  [3] Redirect  [4] Conclude   │
╰───────────────────────────────────────────────────────────╯

Final Report

╔═══════════════════════════════════════════════════════════╗
║                    PANEL CONCLUSIONS                       ║
╚═══════════════════════════════════════════════════════════╝

## Executive Summary
[1-2 sentences]

## Consensus Points
1. **[Point]**: [Details]

## Key Trade-offs
- Trade-off: [Description]
- Recommendation: [Action]
- Dissent: [If any]

## Actionable Recommendations
### Immediate (Week 1)
### Short-term (Month 1)

## Dissenting Views
### [Expert]: "[Direct quote]"

## Open Questions

Synthesis Rules

Labels: UNANIMOUS | STRONG | MAJORITY | CONTESTED | CONTEXT-DEPENDENT

Weight by confidence x domain relevance:

  • High confidence + Core domain: 1.0
  • Medium confidence + Adjacent domain: 0.49
  • Low confidence + Outside domain: 0.16

Never say: "Both make valid points" or "It depends" without specifying decision factors.

User Commands

| Command | Effect | |---------|--------| | Continue | Next round | | Follow-up | Ask panel a question | | Redirect | Shift focus | | Conclude | Generate report |

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/wyattowalsh-panel-debate-skill/snapshot"
curl -s "https://xpersona.co/api/v1/agents/wyattowalsh-panel-debate-skill/contract"
curl -s "https://xpersona.co/api/v1/agents/wyattowalsh-panel-debate-skill/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/wyattowalsh-panel-debate-skill/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/wyattowalsh-panel-debate-skill/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/wyattowalsh-panel-debate-skill/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/wyattowalsh-panel-debate-skill/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/wyattowalsh-panel-debate-skill/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/wyattowalsh-panel-debate-skill/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-16T23:40:41.487Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Wyattowalsh",
    "href": "https://github.com/wyattowalsh/panel-debate-skill",
    "sourceUrl": "https://github.com/wyattowalsh/panel-debate-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T02:12:21.652Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/wyattowalsh-panel-debate-skill/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/wyattowalsh-panel-debate-skill/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T02:12:21.652Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/wyattowalsh-panel-debate-skill/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/wyattowalsh-panel-debate-skill/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

Sponsored

Ads related to panel-debate and adjacent AI workflows.