Skill UI

A comprehensive framework for building high-stakes board and investor update decks. It guides users through structuring narratives, covering all C-suite perspectives (CFO, CRO, CPO, etc.), and effectively communicating both positive and negative business outcomes during board meetings, quarterly reviews, or fundraising rounds. Focuses on storytelling over mere data display.

Automatically gather Playwright test outcomes, highlight failures/flakies, and deliver summaries (Markdown, Slack, TestRail, HTML) aligned with existing workflows for quick triage.

This skill serves as a comprehensive senior social media strategist, guiding users through building, auditing, and optimizing their entire online presence. It covers strategic planning, platform selection, defining content pillars, generating structured content calendars, and implementing best practices for community engagement to achieve measurable business outcomes.

A comprehensive framework for high-stakes negotiation, drawing from tactical empathy and behavioral science. It teaches users how to move beyond logical arguments by understanding the emotional drivers and underlying needs of the counterpart. Techniques include tactical empathy, mirroring, calibrated questioning, and accusation audits. Ideal for salary negotiations, contract discussions, sales objections, and difficult conversations, ensuring you uncover hidden information and build genuine rapport to achieve better outcomes.

A structured methodology for de-risking product ideas and validating market opportunities. This framework guides teams through defining measurable outcomes, building Opportunity Solution Trees (OST), mapping critical assumptions (Desirability, Viability, Feasibility), and planning rigorous experiments (prototyping, interviews, usability tests) before committing to full development resources. Ideal for discovery sprints and pre-build validation.

Guides founders on AI positioning, ICP definition, messaging architecture, and quarterly PMF validation so they can translate technical capabilities into the business outcomes buyer-facing teams care about.

A structured methodological framework for prioritizing vulnerabilities beyond raw CVSS scores. It utilizes CISA’s SSVC model, integrating real-time data like exploitation status (CISA KEV), EPSS scores, and technical impact to assign actionable outcomes: Track, Track*, Attend, or Act. Essential for mature security operations and remediation planning.

Models cap table dilution, SAFE conversion, and exit waterfalls for venture rounds, generating OCF inputs and running Python scripts to calculate ownership changes and waterfall outcomes.

Soft Predict Future is a structured foresight engine that triggers whenever the user asks about future outcomes or scenarios. It enforces a nine-step analytical pipeline (validation, signal collection, scoring, driver extraction, etc.), highlights required searches and inputs, and directs the user to web-enabled reasoning for predictive analysis.

This expert guides users through comprehensive customer research, whether analyzing existing assets (transcripts, surveys, tickets) or gathering new intel from online sources (Reddit, G2, forums). It helps uncover deep customer pains, desired outcomes, and underlying needs (Jobs to Be Done) to ground product strategy, marketing copy, and positioning in real-world evidence.

This skill acts as a critical gatekeeper after a set of experiments are completed. It systematically evaluates raw experimental metrics and outcomes against predefined research claims. The goal is to determine whether the results adequately support a claim, contradict it, or if critical evidence is missing. It guides the research team towards the next decisive action: pivoting the hypothesis, supplementing the data, or confirming the findings. Use this before writing final reports.

This skill manages comprehensive software development life cycle operations—including issue triage, PR reviews, version releases, bug fixing, and marketing content generation. It operates using a parallel "agent army" of dynamic agents (10-20 per task), requiring the user to adopt an Engineering Manager (EM) mindset. Key principles involve rigorous citation checking (anti-hallucination) and applying multiple roles (Product Owner, Open Source Contributor, Architect) simultaneously to ensure robust, safe, and user-centric outcomes across all platforms.