/cs:founder-mode <question> — Auto-routes any founder question to the right C-role advisor or to /cs:boardroom for multi-role topics. The single-command entry point. Use when a founder asks any strategic question without knowing which advisor or command fits — e.g. 'runway pressure' routes to the CFO, 'gross retention dropped' routes to the CCO.
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Command: /cs:founder-mode <question>
The single command a founder needs to remember. Routes the question to the right C-role automatically, or triggers /cs:boardroom if multi-role.
This is the killer command — the answer to "I don't know which slash command to use." Type the question; the system figures out the room.
The router (via cs-chief-of-staff) does keyword + intent matching:
| Signal in question | Route |
|---|---|
| burn, runway, fundraise, dilution, model, LTV, CAC | cs-cfo-advisor |
| pipeline, win rate, forecast, quota, ramp, sales motion | cs-cro-advisor |
| positioning, ICP, message, brand, channel, campaign | cs-cmo-advisor |
| roadmap, PMF, JTBD, North Star, RICE, kill | cs-cpo-advisor |
| cadence, OKR, scorecard, DRI, operating system, rhythm | cs-coo-advisor |
| hiring, comp, ladder, level, attrition, eNPS, equity | cs-chro-advisor |
| security, threat, breach, compliance, audit, SOC 2 | cs-ciso-advisor |
| architecture, scaling, tech debt, SLO, latency | cs-cto-advisor |
| contract, IP, term sheet, regulator, license | cs-general-counsel-advisor |
| retention, GRR, NRR, churn, customer success, CSM, time-to-value, renewals | cs-cco-advisor |
| training data, data rights, consent, data asset, warehouse, lakehouse, data mesh | cs-cdo-advisor |
| model selection, eval, hallucination, AI risk, EU AI Act, fine-tune, build vs buy AI | cs-caio-advisor |
| DORA, cycle time, deploy frequency, eng hiring funnel, team topology, delivery throughput | cs-vpe-advisor |
| strategy, vision, board, M&A, raise, exit | cs-ceo-advisor |
| 2+ signals from different roles | /cs:boardroom |
| ambiguous | /cs:office-hours first, then route |
/cs:brief and trigger /cs:boardroom/cs:office-hours to force the founder to sharpendecision-loggerThe router emits one of three responses:
**Routing:** cs-cfo-advisor
**Why:** Question hits burn rate and unit economics.
**Next:** Invoking cs-cfo-advisor with company-context loaded.
[Advisor's response follows]
**Routing:** /cs:boardroom
**Why:** Question touches CFO + CMO + CPO (pricing change has finance, positioning, and product implications).
**Next:** Building brief via /cs:brief, then running boardroom.
Brief saved: ~/.claude/briefs/2026-05-12-pricing-v3.md
Run: /cs:boardroom ~/.claude/briefs/2026-05-12-pricing-v3.md
**Routing:** /cs:office-hours
**Why:** Question is too broad ("should we grow faster?"). Need framing before any advisor can help.
**Next:** Six-question intake.
[Office hours questions follow]
gstack requires the founder to know all 23 slash commands and pick the right one. That's a cognitive tax. /cs:founder-mode collapses that to one — the system picks. This is also where persistent memory pays off: with company-context.md + decision-logger, the router knows what's already been decided and won't re-litigate.
/cs:founder-mode "should we raise a Series B now or wait 6 months?"
→ boardroom (CFO + CEO + CRO touched)
/cs:founder-mode "the win rate dropped 20% this month"
→ cs-cro-advisor
/cs:founder-mode "gross retention dropped 5 points this quarter"
→ cs-cco-advisor
/cs:founder-mode "let's hire a VP Marketing"
→ boardroom (CHRO + CMO + CFO touched)
/cs:founder-mode "should we be growing faster?"
→ /cs:office-hours (too ambiguous)
cs-chief-of-staff — does the routingchief-of-staff — routing logiccontext-engine — loads contextVersion: 1.0.0
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Accessibility audit skill for scanning, fixing, and verifying WCAG 2.2 Level A and AA compliance across React, Next.js, Vue, Angular, Svelte, and plain HTML codebases. Use when auditing accessibility, fixing a11y violations, checking color contrast, generating compliance reports, or integrating accessibility checks into CI/CD pipelines.
日本語の概要は準備中です。原文の説明を表示しています。
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.
日本語の概要は準備中です。原文の説明を表示しています。
When the user needs to generate, iterate, or scale ad creative for paid advertising. Use when they say 'write ad copy,' 'generate headlines,' 'create ad variations,' 'bulk creative,' 'iterate on ads,' 'ad copy validation,' 'RSA headlines,' 'Meta ad copy,' 'LinkedIn ad,' or 'creative testing.' This is pure creative production — distinct from paid-ads (campaign strategy). Use ad-creative when you need the copy, not the campaign plan.
日本語の概要は準備中です。原文の説明を表示しています。
Adversarial code review that breaks the self-review monoculture. Use when you want a genuinely critical review of recent changes, before merging a PR, or when you suspect Claude is being too agreeable about code quality. Forces perspective shifts through hostile reviewer personas that catch blind spots the author's mental model shares with the reviewer.
日本語の概要は準備中です。原文の説明を表示しています。
Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
日本語の概要は準備中です。原文の説明を表示しています。
Mint a tamper-evident, post-quantum-signed receipt for a consequential agent action (deploy, delete, pay, grant-access, model decision) so it can be verified later from the certificate alone. Use when an autonomous agent takes a side-effecting action that may need to be proven later, or when satisfying EU AI Act Article 12 record-keeping. Three decisions: whether an action needs a receipt, minting it, verifying it. Signing is delegated to the open-source OpenAgentOntology package. Not after-the-fact log analysis; not a hosted notary; not a legal opinion.
日本語の概要は準備中です。原文の説明を表示しています。