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Runs a script-backed AI C-Suite strategic debate for SaaS teams. It builds a stage-aware executive roster, generates structured debate rounds, synthesizes a Chief-of-Staff brief, and outputs a CEO decision with action items. Includes security and output validation scripts designed for VirusTotal-safe distribution.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install clarezoe/ai-csuite打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
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: $ARGUMENTS
This skill is operational via local scripts in scripts/:
prepare_session.py: validates company context and stage, builds session packetrun_debate.py: generates full multi-round debate + CEO decisionvalidate_output.py: validates required output sections and fieldssecurity_scan.py: checks for suspicious code patterns for release safetyNo hidden network execution, no obfuscation, and no credential reads are required.
Load company context from:
config/company.yaml
If missing, ask the user for:
solo | pre-seed | seed | series-a
| Stage | Debate Agents | Rounds |
|---|---|---|
| solo | CEO, CTO, CPO, CFO, CoS | 2 |
| pre-seed | CEO, CTO, CPO, CoS, CV | 2 |
| seed | CEO, CTO, CPO, CMO, CRO, CoS, CV | 3 |
| series-a | CEO, CTO, CPO, CFO, CMO, CRO, COO, CSA, CISO, CoS, CV | 3 |
Data brief agents are always:
CV for customer signalsCFO for financial constraintsIf CV or CFO are not in the debate roster for that stage, they still provide pre-round data.
| Squad | Members | Lead |
|---|---|---|
| Strategy | CEO, CFO, COO, CoS | CFO |
| Product | CTO, CPO, CSA, CISO | CPO |
| Growth | CMO, CRO, CV | CRO |
Intra-squad challenges are direct. Cross-squad challenges are mediated by CoS.
python3 scripts/security_scan.py .
python3 scripts/prepare_session.py --topic "$ARGUMENTS" --company-file config/company.yaml
python3 scripts/run_debate.py --topic "$ARGUMENTS" --company-file config/company.yaml --output logs/latest-decision.md...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
Script-backed AI C-Suite skill for structured strategic decisions.
CEO BRIEF and CEO DECISION.SKILL.md: prompt workflow and operating rules.config/company.yaml: required company context template.scripts/prepare_session.py: validates context and builds session packet.scripts/run_debate.py: generates debate output markdown.scripts/validate_output.py: checks mandatory output markers.scripts/security_scan.py: static checks for risky patterns/imports..github/workflows/ci.yml: GitHub Actions smoke checks.cd ai-csuite
cp config/company.yaml config/company.local.yaml
Edit config/company.local.yaml with your real values.
python3 scripts/security_scan.py .
python3 scripts/prepare_session.py \
--topic "Should we change pricing for SMB annual plans?" \
--company-file config/company.local.yaml
python3 scripts/run_debate.py \
--topic "Should we change pricing for SMB annual plans?" \
--company-file config/company.local.yaml \
--output logs/latest-decision.md
python3 scripts/validate_output.py --file logs/latest-decision.md
If validation prints PASS, the decision file is complete.
config/company.yaml must contain:
company_name
product
stage (solo | pre-seed | seed | series-a)arr_or_mrr
runway_months
team_size
constraints (YAML list)solo: 2 rounds...# AI C-Suite Multi-Agent Framework Use this skill when the user needs a strategic decision on product, engineering, pricing, go-to-market, hiring, operations, or competitive response. The user's topic is: **$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 1. Security pre-check: ```bash python3 scripts/security_scan.py . ``` 2. Build session packet: ```bash python3 scripts/prepare_session.py --topic "$ARGUMENTS" --company-file config/company.yaml ``` 3. Run full debate: ```bash python3 scripts/run_debate.py --topic "$ARGUMENTS" --company-file config/company.yaml --output logs/latest-decision.md...
# ai-csuite Script-backed AI C-Suite skill for structured strategic decisions. ## What this skill does - Builds a stage-aware executive roster for SaaS teams. - Runs a multi-round debate with role-based positions. - Produces a structured `CEO BRIEF` and `CEO DECISION`. - Validates output shape and scans the skill for publish-time safety checks. ## Included files - `SKILL.md`: prompt workflow and operating rules. - `config/company.yaml`: required company context template. - `scripts/prepare_session.py`: validates context and builds session packet. - `scripts/run_debate.py`: generates debate output markdown. - `scripts/validate_output.py`: checks mandatory output markers. - `scripts/security_scan.py`: static checks for risky patterns/imports. - `.github/workflows/ci.yml`: GitHub Actions smoke checks. ## Requirements - Python 3.11+ (stdlib only). - No third-party Python dependencies. ## Quick start 1. Enter the skill directory: ```bash cd ai-csuite ``` 2. Fill company context: ```bash cp config/company.yaml config/company.local.yaml ``` Edit `config/company.local.yaml` with your real values. 3. Run security scan: ```bash python3 scripts/security_scan.py . ``` 4. Prepare the session: ```bash python3 scripts/prepare_session.py \ --topic "Should we change pricing for SMB annual plans?" \ --company-file config/company.local.yaml ``` 5. Run the debate: ```bash python3 scripts/run_debate.py \ --topic "Should we change pricing for SMB annual plans?" \ --company-file config/company.local.yaml \ --output logs/latest-decision.md ``` 6. Validate generated output: ```bash python3 scripts/validate_output.py --file logs/latest-decision.md ``` If validation prints `PASS`, the decision file is complete. ## Company config schema `config/company.yaml` must contain: - `company_name` - `product` - `stage` (`solo | pre-seed | seed | series-a`) - `arr_or_mrr` - `runway_months` - `team_size` - `constraints` (YAML list) ## Stage behavior - `solo`: 2 rounds...
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