Skill UI

Generates a comprehensive, professional, and honest monthly or quarterly investor update. This skill helps founders structure progress reports by including key metrics, major wins, candid challenges, and specific, actionable asks, tailored for early-stage and growth investors.

This skill generates complete, structured, and bias-free job descriptions (JDs) for any role. It guides users through providing essential inputs, ensuring the output includes sections like role summary, responsibilities, requirements, and compensation. Crucially, it performs an inclusive language review, advising against biased requirements (like years of experience) and gendered language, thereby improving hiring fairness and attracting diverse talent.

This skill guides product teams beyond listing features by applying the Jobs-to-be-Done (JTBD) framework. It maps customer needs across functional, emotional, and social dimensions, allowing teams to write precise job stories. Use this to conduct deep user research, identify core pain points, and define product opportunities based on user outcomes rather than mere outputs.

This skill systematically researches real-time public sentiment and user opinions on any topic by querying Reddit, X/Twitter, and the broader web. It bypasses curated SEO content to provide a structured report detailing consensus points, recurring pain points, genuine praise, and signal confidence, offering actionable insights into current market sentiment.

This comprehensive skill assesses pre-launch readiness across all organizational functions, including Product, Marketing, Support, Sales, and Data. It systematically checks feature completeness, performance benchmarks, operational readiness, and communication assets. The output provides a clear Go/Conditional Go/No-Go recommendation, a prioritized blockers list with owners, a detailed risk register, and a rationale, ensuring a robust and controlled product release.

Generates a complete, structured load and performance testing plan for any service. This skill guides the definition of test objectives, establishes measurable SLO thresholds (p99, error rate, throughput), and designs multi-scenario tests (Baseline, Stress, Spike, Soak). It is essential for teams needing to set clear pass/fail criteria, select appropriate tooling (k6, Locust), and integrate performance gates into CI/CD pipelines.

This skill guides users on writing highly effective media pitches and press outreach emails. Instead of generic corporate announcements, it teaches how to structure a human-to-human proposal focused on a compelling story angle, specific data points, and timely relevance. It provides detailed structures, angle development frameworks, and best practices to ensure the pitch resonates with journalists and media editors.

This skill transforms raw meeting discussions, transcripts, or notes into a highly structured and actionable document. It systematically captures critical outputs, including definitive decisions, assigned action items (with clear owners and deadlines), open questions, and defined next steps. Use it for project reviews, sprint planning, and stakeholder syncs to ensure maximum follow-through and clarity.

This skill generates a comprehensive metrics framework for any product, team, or business. It connects the North Star Metric to supporting drivers using established models like AARRR, HEART, or OKR. The output is a structured, actionable metric hierarchy, including definitions, counter-metrics, and dashboard recommendations to guide strategic decision-making.

This guide helps define a complete observability stack for any service. It systematically covers the Four Golden Signals (latency, traffic, errors, saturation), guiding users to define core metrics, set Service Level Objectives (SLOs), configure actionable alerting rules, and structure comprehensive monitoring dashboards. Essential for establishing robust SRE practices and documenting system health standards.

This skill synthesizes user signals gathered from diverse sources—such as interviews, support tickets, NPS verbatims, app reviews, and sales calls—into a single, weighted, and comprehensive insight brief. It moves beyond surface-level feature requests to surface the core underlying user needs, identifies contradictions (divergence), and assigns confidence ratings based on source diversity and weight. Ideal for product managers and UX researchers needing to reconcile complex, mixed data sets.

A specialized tool designed to strip out predictable, statistical patterns common in AI-generated writing. It systematically rewrites overly polished or uniform text—such as blog posts, emails, or social media captions—by injecting genuine human signals, ensuring the final output reads like it was written by a real person.