Skill UI

A comprehensive skill to automatically detect, install, and initialize the Terraform CLI based on the operating system. It ensures the required environment is set up (including handling provider downloads and network mirrors) and prepares the working directory for infrastructure deployment. Ideal for initial setup or when receiving 'command not found' errors.

This skill helps structure the foundational commercial policies governing discounting off list price. It builds three deterministic tools: a 4D discount matrix builder (considering ARR, term length, payment terms), an exception flow router with compensating commitments, and a policy linter to detect governance gaps. It is designed for Heads of Commercial and RevOps to establish defensible rules of engagement, ensuring margin adherence and preventing discount drift, rather than for approving individual deals.

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.

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 tool for Bid Managers and Proposal Leads to structure responses to RFPs, RFIs, and RFQs. It systematically parses complex requirements, maps product proof-points to identify strategic gaps (GAP audit), develops win-themes using the Shipley method, and calculates a defensible winrate estimate to guide a decisive bid/no-bid decision. Focuses on strategy, not narrative writing.

This is a comprehensive lookup reference for the Mercury MCP server tools. It guides AI agents on how to interact with a virtual team workspace, enabling structured communication for messaging teammates, managing threads and tasks, scheduling complex automations, and performing administrative graph edits. Use this when your agent needs to execute specific team workflows.

Bilig WorkPaper provides a code-first runtime environment for complex spreadsheet business logic. It allows agents to interact with structured data using formulas and JSON workbooks via deterministic API calls (MCP/TypeScript). This is ideal for replacing unreliable UI automation in use cases like quote calculators, budget modeling, and data validation, ensuring calculation integrity through explicit read-back proof.

This skill automatically enriches research wiki pages that are left as bare scaffolds after initial ingestion. It reads multiple external sources (like arXiv/alphaxiv) and fills in 10 structured `_TODO._` sections (e.g., Problem/Gap, Key Results, Open Questions) with detailed prose summaries. Use this skill to transform incomplete research scaffolds into a comprehensive, structured knowledge base.

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.

This skill provides an end-to-end, highly reproducible workflow for bulk RNA-seq differential expression analysis. It orchestrates the entire pipeline, guiding users from raw FASTQ reads through Quality Control (QC), trimming, alignment (STAR/Salmon), quantification, generating a gene-level counts matrix, and finally executing differential expression testing (pydeseq2) and pathway enrichment analysis. It is designed for robust, statistically sound, and fully documented results.

This orchestrator acts as a central hub for Go development, managing the complexity of modern software projects. Instead of using single skills, it reads the task context (e.g., building gRPC, debugging a panic) and automatically loads the most relevant combination of specialized skills (like testing, error handling, safety, or security) simultaneously. It ensures comprehensive coverage throughout the entire Go development lifecycle, making it ideal for advanced AI coding agents.

An expert guide and framework for finding, qualifying, and scoring potential leads across B2B SaaS, general B2B, and local small businesses. It guides users through defining the Ideal Customer Profile (ICP), sourcing multiple data streams, verifying contacts, and prioritizing targets into an actionable, scored outreach list.