Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Other
AI C-Suite
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...
skill openclawclawhub Free
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...
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, ai-csuite-framework-prd.md, config/company.yaml, scripts/common.py, scripts/prepare_session.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 2.1.0
Provenance
- Publisher
- clarezoe
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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: $ARGUMENTS
Runtime Contract
This skill is operational via local scripts in scripts/: prepare_session.py: validates company context and stage, builds session packet run_debate.py: generates full multi-round debate + CEO decision validate_output.py: validates required output sections and fields security_scan.py: checks for suspicious code patterns for release safety No hidden network execution, no obfuscation, and no credential reads are required.
Required Inputs
Load company context from: config/company.yaml If missing, ask the user for: company name + product line stage: solo | pre-seed | seed | series-a ARR or MRR runway (months) team size constraints list
Stage Profiles
StageDebate AgentsRoundssoloCEO, CTO, CPO, CFO, CoS2pre-seedCEO, CTO, CPO, CoS, CV2seedCEO, CTO, CPO, CMO, CRO, CoS, CV3series-aCEO, CTO, CPO, CFO, CMO, CRO, COO, CSA, CISO, CoS, CV3 Data brief agents are always: CV for customer signals CFO for financial constraints If CV or CFO are not in the debate roster for that stage, they still provide pre-round data.
Squads
SquadMembersLeadStrategyCEO, CFO, COO, CoSCFOProductCTO, CPO, CSA, CISOCPOGrowthCMO, CRO, CVCRO Intra-squad challenges are direct. Cross-squad challenges are mediated by CoS.
Execution Steps
Security pre-check: python3 scripts/security_scan.py . Build session packet: python3 scripts/prepare_session.py --topic "$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
Category context
Long-tail utilities that do not fit the current primary taxonomy cleanly.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs2 Scripts1 Config
- SKILL.md
- ai-csuite-framework-prd.md
- README.md
- scripts/common.py
- scripts/prepare_session.py
- config/company.yaml