Skill UI

The Founder-Mode Executive Team simulates a complete C-suite of 13 specialized agents (CFO, CMO, CPO, etc.) and provides 21 structured slash commands. It is designed for founders and executives who need multi-perspective analysis, deep strategic reviews (e.g., unit economics, threat modeling), consensus building, and structured decision logging. Use it when orchestrating complex, multi-phase business decisions.

This tool simulates a Chief Technology Officer's comprehensive review, stress-testing any major technical plan. It systematically interrogates critical areas including scaling limits (scaling cliffs), accumulated technical debt, team capacity planning, build-vs-buy economics, system reliability (SLOs), and security compliance. Use it before committing to core architecture changes or making high-stakes engineering decisions.

This tool serves as the formal gate for documenting corporate decisions made during high-level meetings, such as boardrooms. It logs the founder's final, approved memo, creating a durable, structured record that feeds into future planning cycles. It maintains a two-layer memory system: raw transcripts for reference, and approved decisions for actionable, official company memory, ensuring accountability and historical continuity.

Simulates a comprehensive, multi-stage academic journal peer review process. This agent dynamically configures five expert reviewers (EIC, 3 peers, and a Devil's Advocate) to evaluate a paper across methodology, domain expertise, cross-disciplinary impact, and core arguments. It provides structured reports, editorial decisions, and revision roadmaps, supporting full reviews, post-revision verification, and calibration modes.

This skill provides deep, decision-grade research dossiers on any specific entity (company, person, or organization). Unlike generic profiles, it mandates the user to state a clear hypothesis upfront. The resulting dossier rigorously tests this hypothesis, providing a conclusive verdict, detailed activity timelines, network signals, red flags, and a source-provenance audit log. Ideal for due diligence, investment analysis, or high-stakes meeting preparation.

This skill facilitates a rigorous, documentation-anchored design review session. It challenges a proposed plan by cross-referencing it against the project's established domain glossary (CONTEXT.md), historical architectural decisions (ADRs), and the current codebase. It forces the user to resolve ambiguities, define precise terminology, and validate design trade-offs using concrete scenarios, ensuring all decisions are captured and documented inline.

A self-hosted, semantic memory service designed for AI agents. It allows agents to save worklogs, decisions, and notes, and recall this knowledge across sessions based on meaning rather than exact keywords. Using pgvector and structured workspaces, it maintains persistent, context-aware knowledge bases, making it ideal for collaborative AI projects.

A lightweight, read-only utility that analyzes past skill usage from decision logs. It aggregates skill co-occurrence frequencies, tracks meta-skill usage statistics, and surfaces router fixture data. The resulting JSON summary is highly structured and ideal for downstream LLM consumption, enabling users to understand their workflow patterns and most frequently used skills over time.

Transform raw meeting transcripts, call notes, or chat logs (from Zoom, Teams, etc.) into professional, structured summaries. This tool automatically extracts key decisions, identifies open risks, and generates actionable item lists with clear owners and proposed due dates, making outputs ready for immediate sharing.

A comprehensive workflow designed to convert unstructured conversational data, meeting notes, and ad-hoc decisions into highly structured, linkable entries within Notion. This tool ensures that all captured knowledge—whether an FAQ, a 'how-to' guide, or a formal decision log—is properly documented, categorized, and linked to maintain a cohesive, searchable knowledge base for easy reuse across teams.

A comprehensive guide detailing the selection criteria for core modern system components, including databases (SQL/NoSQL), caching, message queues, and API protocols. It helps architects choose the optimal technology for specific use cases, scalability needs, and architectural patterns.

This comprehensive skill applies industry-standard prioritization frameworks, including RICE, MoSCoW, Kano, and ICE, to rank product features and backlog items. It generates a scored, defensible list that includes a recommended build order, explicitly deprioritized items, and documented assumptions. Essential for Product Managers and teams needing to make data-driven, strategic decisions about the product roadmap and manage scope trade-offs.