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agent-forum

Run a structured multi-perspective debate in a single LLM call. Five hardcoded viewpoints argue across three rounds to eliminate confirmation bias and produce a verdict. Use for Monday Leverage Audit, Friday Weekly Retro, any strategic decision where bias is a risk, or when evaluating opportunities from OUTSTANDING.md. Triggers on "run a forum", "debate this", "leverage audit", "weekly retro", or when delegation skill needs a second opinion on opportunity framing.

作者: admin | 来源: ClawHub
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V 1.0.0
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agent-forum

# Agent Forum One prompt. Five simulated agents. Three rounds. One verdict. Runs as a single `sessions_spawn` call (~8-12k tokens). ## The 5 Agents | Agent | Perspective | |-------|-------------| | **Revenue Realist** | No revenue signal = not working. Show me the money. | | **Builder** | Ship more, measure later. Momentum matters. | | **Skeptic** | Prove it. What's the null hypothesis? Assumes failure until evidence. | | **Operator** | Systems, reliability, cost. What breaks at 10x scale? | | **Customer Voice** | Would I open this email? Pay for this? Care about this? | ## Prompt Template Inject `{DATA}` and `{QUESTION}` into this template: ``` You are running a strategic forum with 5 agents. Each agent has a hardcoded perspective. They debate the data in 3 rounds, then produce a joint verdict. RULES: - 2-3 sentences per agent per round. No fluff. - Agents MUST disagree where perspectives conflict. - Round 3: CONSENSUS, CONTESTED, VERDICT. - Brutally honest. No cheerleading. - Total output under 3,000 tokens. THE 5 AGENTS: 1. Revenue Realist — Only money. No revenue signal = not working. 2. Builder — Ship more, iterate. Momentum > perfection. 3. Skeptic — Prove it. Assumes failure until evidence. 4. Operator — Systems, reliability, cost. What breaks at scale? 5. Customer Voice — Would I buy/open/care about this? DATA PAYLOAD: {DATA} QUESTION: {QUESTION} FORMAT: ## Round 1: Initial Positions ## Round 2: Challenges & Rebuttals ## Round 3: Verdict ### Consensus ### Contested ### Verdict ### Controllable Assessment [Each item: ✅ Controllable / ⚠️ Partial / ❌ Uncontrollable] ``` ## Spawn Config ``` sessions_spawn: task: [formatted prompt] model: "github-copilot/claude-opus-4.6" mode: "run" runTimeoutSeconds: 120 ``` ## Data Collection Before Forum **Leverage Audit (Monday):** Resend analytics, lead pipeline counts, revenue/signups, error logs, outreach totals, cron health, cost burn. **Weekly Retro (Friday):** Sprint target vs actual, emails sent, leads sourced, revenue events, things shipped/broke, blockers hit. ## Cron - Monday 9 AM ET: `0 13 * * 1` (leverage audit) - Friday 9 AM ET: `0 13 * * 5` (retro) Use OpenClaw cron (needs LLM access), not crontab.

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skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 multi-perspective-forum-1775873531 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 multi-perspective-forum-1775873531 技能

通过命令行安装

skillhub install multi-perspective-forum-1775873531

下载 Zip 包

⬇ 下载 agent-forum v1.0.0

文件大小: 2.16 KB | 发布时间: 2026-4-12 10:40

v1.0.0 最新 2026-4-12 10:40
**Initial release of agent-forum: structured multi-perspective debate for unbiased decision-making.**

- Runs a 5-agent, 3-round debate in a single LLM call to challenge confirmation bias.
- Hardcoded agent viewpoints: Revenue Realist, Builder, Skeptic, Operator, and Customer Voice.
- Produces clear verdicts: consensus, contested points, and controllable assessment.
- Triggered by keywords (e.g., "run a forum", "leverage audit", "weekly retro") or for second-opinion framing.
- Includes Monday/Friday automated data collection and OpenClaw cron scheduling.

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