Skill UI

idea-os is a comprehensive, five-phase pipeline designed to transform a raw, abstract idea into a fully structured, build-ready plan. It guides users through Triage, Clarification, Deep Research, detailed PRD creation (including non-goals and metrics), and finally, a phased execution plan. The system adapts its complexity and vocabulary to the user's sophistication level, providing everything from foundational market analysis to actionable technical stack recommendations.

This skill performs a zero-context verification audit, ensuring that every quantitative claim, comparison, and scope statement within a research paper precisely matches the provided raw result files. It is designed to eliminate confirmation bias, catching discrepancies such as incorrect rounding, cherry-picked best seeds, or misreported performance deltas before publication. Ideal for validating paper-to-evidence fidelity.

This advanced skill is an end-to-end tool for transforming complex research topics into professional, visualized knowledge graph PDFs. It automatically conducts multi-round web searches, extracts key entities, structures related knowledge, and designs the optimal visualization (supporting Graphviz, PlantUML, etc.). Ideal for deep academic analysis, mapping character relationships, or visualizing complex technical architectures where existing structured data is unavailable.

This comprehensive skill guides users through the entire lifecycle of developing AI agent skills. From initial concept (Understand) to structured design, writing the core skill logic, rigorous testing, and final performance optimization. It ensures skills are robust, accurate, and highly triggerable across any domain, including engineering, content creation, and research.

This tool functions as a post-task epilogue, designed to audit and record the entire research journey. It scans the conversation history at the end of a coding or research session to extract critical research artifacts, including decisions, experiments, dead ends, claims, heuristics, and major pivots. It systematically writes this provenance data into the structured `ara/` directory, ensuring a faithful and auditable trace of how the project truly evolved.

This skill analyzes the user's local screen history captured by the screenpipe daemon. It detects repeated research patterns and workflows, compares them against known skills, and drafts actionable proposals for new or combined skills (composition recipes). It is designed to help users systematize their ongoing work habits and formalize repeatable processes into reusable skills.

This advanced playbook covers escalating prototype pollution into Remote Code Execution (RCE) and Cross-Site Scripting (XSS). It details exploitation techniques across various environments, including Node.js child_process, EJS, Pug, Handlebars, and client-side libraries like jQuery and Lodash. It is designed for security researchers and penetration testers to systematic locate and exploit deep merge sinks and framework gadgets.

The FLOW framework is an evidence-led operating model designed for the AI-search era. It structures the entire SEO process into five distinct, systematic stages: Find, Leverage, Optimize, Win, and Local. By utilizing a comprehensive library of 41 AI-driven prompts, it guides users away from ad-hoc querying toward structured, evidence-backed analysis, ensuring consistency across keyword research, backlink strategies, and local optimizations.

This expert skill helps design optimal pricing and monetization strategies for SaaS and digital products. It guides users through value-based pricing, packaging structure, and pricing metrics. By utilizing advanced research methods like Van Westendorp and MaxDiff, users can determine optimal price points, tier structures, and pricing models to maximize Customer Lifetime Value (LTV) and Average Revenue Per User (ARPU).

This skill provides comprehensive, production-ready guidelines for building a consistent design system. It covers the brand's authoritative, research-journal aesthetic, defining typography, color tokens, component anatomy, and mandatory accessibility criteria (WCAG 2.2 AA). It ensures all UI elements adhere to technical and aesthetic standards.

This guide provides expert strategies for designing comprehensive SaaS pricing models and monetization strategies. It covers value-based pricing, selecting optimal value metrics (e.g., per user, per usage), structuring tiered plans (Good-Better-Best), and conducting market research using methods like Van Westendorp. Use this when optimizing revenue, designing packaging, or determining how to charge for a product or service.

A powerful 12-agent pipeline designed for academic writers, guiding users through the entire research publication lifecycle. It covers systematic literature review, structural outlining, full drafting, citation compliance, bilingual abstract generation, and simulating peer review. Features include Style Calibration and Writing Quality Checks to ensure high academic rigor and professional polish.