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ai-csuite

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.

clarezoe0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install clarezoe/ai-csuite

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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:
python3 scripts/security_scan.py .
  1. Build session packet:
python3 scripts/prepare_session.py --topic "$ARGUMENTS" --company-file config/company.yaml
  1. Run full debate:
python3 scripts/run_debate.py --topic "$ARGUMENTS" --company-file config/company.yaml --output logs/latest-decision.md...

Source information

Source
github
Repository
openclaw/skills
Path
skills/clarezoe/ai-csuite
Version
—
Commit
f9de93ab50e73ea2f6f33e5a3163736a04fb48d8
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

README

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:
cd ai-csuite
  1. Fill company context:
cp config/company.yaml config/company.local.yaml

Edit config/company.local.yaml with your real values.

  1. Run security scan:
python3 scripts/security_scan.py .
  1. Prepare the session:
python3 scripts/prepare_session.py \
  --topic "Should we change pricing for SMB annual plans?" \
  --company-file config/company.local.yaml
  1. Run the debate:
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
  1. Validate generated output:
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...

Extracted content

SKILL.md
# 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...
README
# 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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