Synthesize raw user research (interviews, surveys, tickets) into themed findings and decision-ready briefs. Use when synthesizing user interviews, building a findings brief, or communicating research to stakeholders.
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。
Synthesize raw user research (interviews, surveys, tickets) into themed findings and decision-ready briefs. Use when synthesizing user interviews, building a findings brief, or communicating research to stakeholders.
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。
Qualify and prioritize sales leads against an ICP, score lead lists, and draft personalized outreach hooks. Use when building a target account list, qualifying inbound leads, prepping for outreach, or scoring prospects.
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。
Write persuasive marketing copy for homepages, landing, pricing, feature, and product pages using headline formulas, CTA frameworks, and objection handling. Use when writing page copy, improving headlines, crafting CTAs, or conversion copy.
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。
Generate and score candidate brand, product, and domain names for memorability and pronounceability. Use when naming a new product, company, or feature, brainstorming brand names, or finding an available .com.
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。
Convert authored markdown into a polished self-contained HTML document with a table of contents, numbered figures and tables, cross-references, footnotes, and print-ready CSS. Use when publishing a report, whitepaper, or memo.
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。
Audit whistleblower systems and draft compliant reporting policies. Use when assessing or building whistleblower programs.
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。
Check AI-generated marketing content and reviews for required disclosures under the EU AI Act, FTC rules and platform AI-label policies. Use when labelling AI ads, deepfakes, chatbots, influencer posts or testimonials.
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。
Design tokens, light/dark theming, and WCAG contrast validation for HTML documents and decks, compiled into one inlinable CSS bundle. Use when theming a report or deck, auditing contrast, or fixing dark-mode color drift.
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。
Draft GDPR-compliant privacy notices for EU/EEA jurisdictions. Supports 6 notice types, 9 jurisdictions, multi-layer compliance verification. Use for privacy notice drafting, compliance checking, and jurisdiction mapping.
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。
Implement Stripe integrations for SaaS billing: subscriptions, checkout, proration, usage- based billing, idempotent webhooks, customer portal, dunning, and SCA. Use when building billing, handling webhooks, or testing with Stripe CLI.
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。
Prepare structured briefings for meetings with legal relevance and track action items. Use when prepping legal meetings.
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。
GDPR Art. 35 Data Protection Impact Assessment with threshold checking, risk registers, and EDPB criteria scoring. Use for DPIA evaluations.
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。
This skill should be used when the user asks to "calculate MRR", "analyze churn", "compute SaaS metrics", "do cohort retention analysis", "calculate LTV or CAC", "evaluate unit economics", or "track subscription revenue growth".
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。
Talent acquisition across recruiting strategy, sourcing, interviews, and hiring analytics. Use when writing job descriptions, designing interview scorecards, analyzing hiring funnels, or improving offer acceptance rates.
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): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
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。
Performs financial ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction for strategic decision-making
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。
This skill should be used when the user asks to "analyze Terraform modules", "scan IaC for security issues", "review Terraform configurations", "check infrastructure code for misconfigurations", or "audit cloud resources".
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 verification for AI-generated legal content. Use when fact-checking legal documents, validating citations, detecting hallucinations, scoring document quality, or assessing distribution readiness.
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。
Evaluate and compare technology stacks with TCO analysis, security assessment, and ecosystem health scoring. Use when comparing frameworks, calculating total cost of ownership, assessing migration paths, or analyzing ecosystem viability.
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。
Statute and regulation interpretation framework. Use when reading statutes, classifying requirements, analyzing operative keywords, applying canons of construction, or mapping compliance obligations from legislative text.
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。
Scan codebases for technical debt with AST parsing, prioritize by impact, and generate trend dashboards. Use when tracking tech debt, prioritizing refactoring, calculating cost-of- delay, planning sprint debt, or reporting debt to execs.
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。
Deep clause-by-clause NDA review from Recipient or Discloser perspective. Produces issue log with redlines, fallbacks, rationales, owners, deadlines. Use when reviewing NDAs for negotiation or approval.
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。
People analytics across workforce metrics, predictive modeling, and employee insights. Use when building turnover models, analyzing engagement surveys, running pay equity regressions, or scoring flight risk.
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。
Transform AI-generated content into human-sounding writing via AI pattern detection, rhythm restoration, and authenticity scoring. Use when content sounds robotic, uses AI cliches, or the user wants to humanize or fix AI writing.
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。