Skill UI

This skill guides Heads of Partnerships and BD in evaluating prospective partners. It assesses a partner's independent demand and determines the optimal partnership tier (e.g., Reseller, OEM, Strategic Alliance). Furthermore, it designs a comprehensive 90-day Joint GTM plan and models the economic viability of revenue share agreements against direct sales, providing clear kill criteria for sustainable growth.

A comprehensive skill for commercial teams, product marketers, and CMOs designing or revising product pricing. It helps determine the optimal pricing model (e.g., usage-based, subscription, value-based), calculates acceptable price ranges using Van Westendorp PSM data, and structures effective Good/Better/Best packaging tiers. It provides strategic direction and risk detection, recommending models and ranges rather than fixed numbers.

This skill is designed for Heads of Procurement or BizOps leaders conducting annual category reviews. It analyzes complex enterprise spending patterns by categorizing costs using UNSPSC standards, identifying the top cost drivers (Pareto analysis), and diagnosing bottlenecks in the purchasing cycle. It generates a defensible, risk-balanced plan for supplier consolidation, ensuring no critical tier-1 category is collapsed to a single source without documented contingency plans.

A comprehensive coaching layer designed to elevate users into power users of AI models. Upon first activation, it provides a structured glossary of high-impact techniques tailored to user needs. In subsequent turns, it actively monitors prompts, surfacing single, actionable tips to optimize interactions and maximize the AI's capabilities, ensuring continuous, guided learning.

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.

SocialClaw is a powerful, agent-first skill designed for comprehensive social media automation. It allows users to schedule and publish content across 13 major platforms (including X, LinkedIn, Instagram, TikTok, and more) using a single workspace API key. Streamline your marketing campaigns by managing content creation, media uploads, scheduling validation, and performance analytics from one central workflow.

A comprehensive toolkit for structuring prospective clinical study designs. It assists in selecting and classifying primary/secondary endpoints, estimating sample size and power for various designs (means, proportions, survival), and scoring overall study plan feasibility (GO/NO-GO). All outputs are estimates routed to specified human experts (clinicians, biostatisticians, regulatory owners), never presented as final facts or regulatory submissions.

This framework serves as a rigorous thought partner, designed to challenge underlying assumptions, separate raw evidence from interpretation, and ensure that all conclusions are fully defensible. It guides users to define clear decision goals, test counterfactuals, and calibrate claims strictly to the available data quality. Ideal for high-stakes projects where the cost of error is significant.

Master the design, debugging, and hardening of production-grade GitHub Actions CI/CD pipelines. This skill covers advanced topics including reusable workflows, matrix builds, self-hosted runners, OIDC authentication, secrets management, environment protection, and complex trigger patterns (e.g., workflow_call, schedule, release). Use this to automate complex build, test, and deployment processes.

Invariant-Guard enforces a correctness-first approach to algorithm design. Instead of writing code and hoping it works, this skill mandates defining the function contract, loop invariants, termination arguments, and all potential edge cases *before* implementation. It is essential for complex algorithms where subtle bugs (like off-by-one errors or missed post-conditions) are common, ensuring mathematically rigorous and verifiable code.

This skill captures and persists critical user decisions, project constraints, and architectural choices across multiple sessions and agents. It saves this context into a structured memory database (`mdbase`), ensuring that future development steps or agents can retrieve the original intent without re-deriving it from scratch. Ideal for documenting project rules, tech stacks, and design rationale.

This guide provides best practices for building flexible, maintainable, and scalable React components. It emphasizes using composition patterns and compound components to avoid 'boolean prop proliferation,' while also detailing advanced concepts in component architecture, state management, and modern implementation techniques (including React 19 APIs). Ideal for refactoring complex systems or designing reusable component libraries.