Skill UI

A structured multi-perspective deliberation process that summons clashing archetypes to debate a question, extract risks, and synthesize actionable insight whenever a tough decision, dilemma, or creative challenge demands diverse viewpoints.

Structured system that runs multi-branch “what if” analyses to map possibility spaces, stress-test strategic options, and surface triggers so users can prepare confident responses before committing resources.

This skill transforms flawed writing—whether pasted text or uploaded documents—into publication-ready prose. It meticulously eliminates issues related to grammar, spelling, punctuation, clarity, and tone, all while strictly preserving the original author's unique voice and intent. It operates in two modes: inline text correction and structured file processing (supporting formats like .docx, .pdf, .txt). Ideal for academic papers, business reports, and any text requiring a professional polish.

Guides users who are unsure where to start by asking structured questions, then recommends the best matching skill(s) from the installed library with explanations and invocation templates.

Analyzes research papers to break down structure and summarize key points, offering citation highlights and insights for desk research or literature review planning.

Organizes prior-year work summaries into SRED-compliant Notion documents by classifying projects, compiling evidence, and guiding users through creating structured project summaries with uncertainties, experiments, and links for each SREDable effort.

Automates converting academic LaTeX papers between publisher templates by extracting core sections, mapping them into the new template structure, fixing formatting/floats, and compiling while surfacing log errors for debugging.

Creates new Feishu Cloud Docs from Lark-flavored Markdown, letting you optionally target folders, wiki nodes, or knowledge spaces while ensuring structured, rich, and visually varied content.

Structured mailbox workflow covering triage, drafting, sending, and sent-proof verification so ECC users can manage inbox tasks, respond with context, and confirm real-world send status.

Provides a well-structured skill template with metadata for `lark-cli`, helping developers verify formatting and readiness before deployment.

Iteratively refines raw ideas into actionable concepts via structured divergent and convergent thinking, guiding users through questions, variations, stress tests, and a final one-pager to prepare concepts for execution.

Command-line shortcuts for Lark contact searches, returning organization structure, department members, or user details via name, email, or phone to help find colleagues’ open_id or contact info quickly.