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ai-csuite（AI 套件）

Agent Skill

ai-csuite 用于辅助前端页面、组件、样式和交互逻辑开发，适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态，以及是否会触发联网、命令执行或文件读写。

总安装

11,690

周安装

492

GitHub Stars

公开资料未说明

下载量

4,093

OpenClaw

安装说明

本站只整理中文说明和来源信息，不托管安装包，也不代用户安装。

GitHub

来源数

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手，先确认命令和权限，再让它执行。

请帮我安装这个 Agent Skill：ai-csuite（AI 套件）
来源仓库：https://github.com/clarezoe/ai-csuite
安装命令：
openclaw skills install ai-csuite
安装前请先检查当前环境是否支持对应 CLI，并向我确认将要执行的命令、安装目录、联网范围和文件读写权限；确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill；本站只展示命令，不托管安装包，也不自动执行。

ClawHubOpenClaw

openclaw skills install ai-csuite

简介

为 SaaS 团队提供 AI 驱动的高管战略辩论模拟。

自动生成结构化辩论回合，综合多方观点形成决策参考。
适合产品方向讨论或市场策略推演场景。ai-csuite 属于开发类 Skill，可作为该场景下的辅助能力补充。
安装命令：openclaw skills install ai-csuite。
建议确认是否会触发外部 API 调用或数据写入。

SKILL.md

name: ai-csuite
description: >
license: MIT
allowed-tools: Read, Write, Edit, Bash, Glob, Grep, Task
metadata
version: 2.0.0
mode: prompt-plus-scripts
runtime: python3-stdlib

AI C-Suite Multi-Agent Framework

Use this skill when the user needs a strategic decision on product, engineering, pricing, go-to-market, hiring, operations, or competitive response.

The user's topic is: $ARGUMENTS

Runtime Contract

This skill is operational via local scripts in scripts/:

prepare_session.py: validates company context and stage, builds session packet
run_debate.py: generates full multi-round debate + CEO decision
validate_output.py: validates required output sections and fields
security_scan.py: checks for suspicious code patterns for release safety

No hidden network execution, no obfuscation, and no credential reads are required.

Required Inputs

Load company context from:

config/company.yaml

If missing, ask the user for:

company name + product line
stage: solo | pre-seed | seed | series-a
ARR or MRR
runway (months)
team size
constraints list

Stage Profiles

Stage	Debate Agents	Rounds
solo	CEO, CTO, CPO, CFO, CoS	2
pre-seed	CEO, CTO, CPO, CoS, CV	2
seed	CEO, CTO, CPO, CMO, CRO, CoS, CV	3
series-a	CEO, CTO, CPO, CFO, CMO, CRO, COO, CSA, CISO, CoS, CV	3

Data brief agents are always:

CV for customer signals
CFO for financial constraints

If CV or CFO are not in the debate roster for that stage, they still provide pre-round data.

Squads

Squad	Members	Lead
Strategy	CEO, CFO, COO, CoS	CFO
Product	CTO, CPO, CSA, CISO	CPO
Growth	CMO, CRO, CV	CRO

Intra-squad challenges are direct. Cross-squad challenges are mediated by CoS.

Execution Steps

Security pre-check:

python3 scripts/security_scan.py .

Build session packet:

python3 scripts/prepare_session.py --topic "$ARGUMENTS" --company-file config/company.yaml

Run full debate:

python3 scripts/run_debate.py --topic "$ARGUMENTS" --company-file config/company.yaml --output logs/latest-decision.md

Validate output integrity:

python3 scripts/validate_output.py --file logs/latest-decision.md

Present result to user and ask:

accept
challenge
rerun with constraints

Debate Protocol

Use this exact order:

Pre-round Data Brief (CV + CFO)
Round 1 independent positions (3-5 sentences each)
Optional human checkpoint
Round 2 rebuttals and challenges (3-5 sentences each)
Round 3 convergence (2-3 sentences, only 3-round stages)
CoS synthesis to CEO Brief
CEO decision with action owners

Mandatory Output Shape

The final output must include:

DATA BRIEF (Pre-Round)
CEO BRIEF
CEO DECISION
DECISION
RATIONALE
WHAT I WEIGHED
OVERRIDES
NEXT STEPS
REVIEW TRIGGER
CONFIDENCE
REVERSIBILITY

Escalation Rules

Always enforce:

CISO legal/compliance risk must appear in CEO Brief
CFO runway risk under 6 months must include explicit severity
CV contradiction with consensus must be shown in brief
Deadlock after final round must show both sides
Radical position flips must be flagged

Quality Guardrails

Round 1 cannot be uniform agreement
No vague recommendations
Claims must tie to role or company context
CEO must state tradeoffs
CoS must probe for groupthink if consensus appears too early

VirusTotal Safety Profile

Distribution-safe expectations:

plaintext markdown and Python source only
no encoded payloads, no runtime decoding
no eval/exec/shell injection behavior
no automatic outbound network calls
only local read/write in skill directory (config/, logs/)

Compatibility

Claude Code (via .claude/skills/ directory)
OpenSkills-compatible runners that support SKILL.md

适合场景

OpenClaw 用户查找和安装 Skill 时

用户想查找某类 Agent Skill 时

需要根据任务场景推荐可安装能力包时

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明，方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用；具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

91.51%

按下载量换算3,746

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

执行命令

安装流程涉及命令执行，可能通过 openclaw skills install ai-csuite 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息，不托管安装包，不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源，正式发布前建议补源仓库或其他目录站核验。

来源信息

GitHub 仓库

github.com

/clarezoe/ai-csuite

SKILL.md 来源

clawhub.ai

/clarezoe/ai-csuite

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