Skill UI

This system implements a file-based planning approach, similar to Manus, treating the file system as persistent, external working memory. It is designed to organize complex, multi-step projects, research tasks, or long-running workflows by maintaining three structured markdown files: `task_plan.md` (overall plan), `findings.md` (research discoveries), and `progress.md` (session logs). Use it when your task requires detailed decomposition or exceeds a simple conversational scope.

A universal motivation skill that pushes an AI to stop stalling, search and verify proactively, and pursue end-to-end solutions for debugging, research, writing, planning, deployment, and more.

This guide teaches targeted verification strategies for historical research. When initial searches suggest a candidate name or figure, do not continue with broad searches. Instead, immediately switch to verifying the candidate against all specific constraints (time period, location, family details, major events) using precise search queries to confirm identity and eliminate false positives.

This skill teaches how to dramatically improve the accuracy of historical research queries. When searching for information about a historical figure, rather than relying on generic facts (like era or nationality), users should identify and prioritize the most unique, specific, or niche details—such as a unique object, a rare event, or an uncommon biographical fact. By using these distinctive details as quoted search anchors, the search results become highly targeted, overcoming the limitations of broad, general queries.

A comprehensive academic advisor covering the entire university journey. It guides students through major selection, GPA management, graduate school applications (Chinese and Western systems), study abroad planning, and career transition. Methodology includes Socratic questioning and structured decision-making to help users make informed, autonomous academic choices.

This skill teaches the methodology of forming concrete hypotheses about specific entities (such as film titles, director names, or historical events) when presented with constraints. Instead of performing broad, generic searches, users should leverage their world knowledge to narrow down possibilities, turning a wide query into a precise, verifiable search query. This is particularly effective for academic or historical research.

Master the art of writing highly competitive research proposals for major funding bodies, including NSF, NIH, DOE, DARPA, and NSTC. This skill provides comprehensive guidance on structuring technical narratives, developing specific aims, justifying budgets, incorporating broader impact statements, and ensuring compliance with diverse agency-specific guidelines and formatting requirements.

This skill guides users who feel stuck or overwhelmed by providing a structured, branching approach to complex problems. Instead of giving vague advice, it asks clarifying questions (3-5 options) at each level, progressively narrowing the infinite problem space until concrete, actionable steps are identified. Ideal for career changes, starting businesses, or making major life decisions.

Generates a comprehensive, prioritized compliance checklist for major frameworks like GDPR, SOC 2, ISO 27001, HIPAA, and more. This tool performs detailed gap analysis, identifies quick wins, and structures a phased implementation roadmap, making it essential for audit preparation and maintaining regulatory adherence.

This skill generates a comprehensive, structured Customer Success Plan (CSP) that serves as a joint roadmap between the Customer Success Manager (CSM) and the client. It guides collaboration through defined business goals, measurable success metrics (KPIs), and phased milestones across the entire customer lifecycle, from onboarding to renewal and expansion. Ideal for kickoff calls, Quarterly Business Reviews (QBRs), and joint planning sessions.

This guide assists in polishing and formatting academic manuscripts for high-level geographical journals. It ensures adherence to specific academic standards, such as the Chicago Manual of Style (author-date), managing strict word count caps, and structuring the argument to be legible to a broad, interdisciplinary audience. It focuses on elevating prose from subfield jargon to broadly readable academic discourse.

A comprehensive guide for structuring and writing high-quality AI research manuscripts intended for major academic conferences (e.g., AAAI). It teaches how to structure the first page for maximum impact, clearly state contributions (method, theory, system, etc.), ensure two-column readability, and address ethical limitations to appeal to a broad, non-specialist committee audience.