Skill UI

This skill facilitates the crucial process of sharing learned intelligent patterns across isolated projects or machines using the InterPlanetary File System (IPFS). It allows users to publish a project's accumulated knowledge base to a decentralized network and later fetch, apply, and merge these patterns into new or existing projects. This is invaluable for bootstrapping new applications with prior knowledge or consolidating learnings across a large monorepo.

This skill provides comprehensive, read-only market intelligence for prediction markets. It helps users research market events, compare different venues (like Polymarket, Kalshi), analyze liquidity, and understand underlying assets. It generates source-grounded briefings, emphasizing context and data quality, and strictly avoids providing investment or trading advice.

This tool is designed to enhance lead intelligence by processing and analyzing prospect data. It helps users gain deep insights into potential customers, improving targeting accuracy, optimizing sales pipelines, and refining marketing strategies for business growth.

This tool manages the lifecycle of learned intelligence patterns, implementing the crucial DISTILL and CONSOLIDATE phases of the 4-step intelligence pipeline. It enables the capture of successful task knowledge, supports multi-domain adaptation via SONA or MicroLoRA, and consolidates learned patterns into long-term storage to prevent catastrophic forgetting.

This skill assists in researching prediction markets, treating them as potential data sources or oracle signals for corporate decision intelligence, product development, and agent inputs. It provides source-grounded analysis of implied probabilities, signal quality, and integration patterns, while strictly avoiding investment advice.

An advanced tool for network intelligence that calculates weighted graph scores to map the optimal path to a target. It identifies potential introducers, measures 'bridge value' across connections, and helps determine whether a connection requires a warm introduction or direct outreach on platforms like X and LinkedIn. Ideal for users needing the raw ranking methodology.

A comprehensive guide for configuring and deploying the RuView wireless sensing system. It covers firmware build-time settings (sdkconfig), runtime parameters (NVS provisioning), multi-node mesh setup, and integrating advanced edge intelligence modules (ADR-041). Essential for tuning system behavior and capabilities without modifying core code.

This skill provides comprehensive framework for conducting deep audience research, enabling the creation of detailed buyer personas and sophisticated market segmentation strategies. It covers psychographic profiling, Jobs-to-Be-Done (JTBD) analysis, behavioral segmentation, and defining ideal customer profiles (ICPs). Use it for targeted marketing, product development, and refining outreach efforts across B2B and B2C models.

Configures a comprehensive competitor intelligence pipeline to transform raw change signals into actionable insights. The system monitors multiple dimensions (pricing, content, ads, social, ranking, SERP) across specified rivals. It manages alert fatigue by applying tiered urgency rules (critical, warning, info) and batching lower-priority changes into digestible real-time alerts, daily digests, or weekly briefings.

This tool delivers a comprehensive competitive intelligence report, covering content strategy, SEO performance, paid advertising, social media presence, AI visibility, and pricing models. It identifies competitor strengths, weaknesses, and market gaps, providing actionable recommendations to establish a decisive competitive advantage.

This comprehensive tool establishes ongoing competitive intelligence by tracking defined competitors across multiple dimensions. Users can monitor pricing updates, content changes, SEO rankings, ad campaigns, and social mentions. By defining specific scan frequencies and alert thresholds, it captures a baseline state and alerts on meaningful shifts, providing continuous market insights for strategic decision-making.

This skill implements a continuous improvement feedback loop (Part 12). It aggregates signals from market shifts, customer feedback, competitive intelligence, and internal operations. The output provides structured recommendations to refine the brand's product offering, business strategy, and channel mix, ensuring marketing efforts remain relevant and adaptive. Used continuously, especially during Quarterly Business Reviews (QBRs).