Skill UI

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 skill performs a post-generation, per-page review to refine the visual quality of academic talk decks (PPTX and Beamer). It systematically addresses layout drift, adjusts font scaling for projector readability, fixes common typographical errors (e.g., italic leaks, overflow), and aligns the overall visual weight of the presentation to a specified reference PDF or style preset. It is ideal for the final polish of content-rich, visually complex academic presentations.

This skill provides specialized internal auditing capabilities for ISO/IEC 42001:2023 AIMS. It helps compliance teams assess gaps across Clauses 4-10, build comprehensive AI risk registers with control mapping, and plan structured internal audits (Clause 9.2). Ideal for pre-certification readiness, scoping internal audit cycles, or integrating AI systems into existing quality/security management systems (ISMS/QMS).

This is a mandatory, one-time setup skill designed to interview users interactively to build a personalized knowledge base for advanced email triage. Using a structured, discipline-driven interview process, the skill collects data on email patterns, business context, and priorities, generating 7 critical structured files (e.g., email-taxonomy.md, rate-card.md). This knowledge base powers the companion 'inbox-triage' skill. Run this before initial use or whenever core business processes change significantly.

This advanced orchestrator manages complex internal business workflows, covering process mapping, vendor management, capacity planning, and procurement optimization. It acts as a central router, classifying multi-signal inquiries and delegating tasks to specialized sub-skills (e.g., knowledge-ops, vendor-management). It follows a structured, depth-first workflow and returns actionable, digested reports anchored in documentation and next steps.

This tool accesses a persistent FTS5 knowledge base containing previously indexed project documentation, local content, and session memory. Instead of feeding entire raw sources into the conversation context, it allows users to perform targeted, efficient searches using specific queries and source scoping. This is ideal for quickly retrieving technical details, project specifications, or historical context without lengthy re-reading.

This skill analyzes your opencode prompt history to identify repeating multi-step workflows, recurring unmet needs, and candidates for new reusable skills. By scoring patterns based on frequency, complexity, and tool usage, it helps users save time and avoid repeating complex manual tasks.

Generate professional, ATS-optimized CVs and resumes by consolidating data from multiple sources (LinkedIn, GitHub, Portfolio). This skill tailors your content to specific Job Descriptions (JD), adapts tone based on seniority, and outputs paste-ready plain text optimized for tools like FlowCV or Canva. It also provides a detailed ATS flaw report and actionable improvement suggestions.

Transform raw meeting transcripts, call notes, or chat logs (from Zoom, Teams, etc.) into professional, structured summaries. This tool automatically extracts key decisions, identifies open risks, and generates actionable item lists with clear owners and proposed due dates, making outputs ready for immediate sharing.

This meta-skill automates the process of compiling a daily briefing on the top submissions from the arXiv repository. It fetches the latest papers in a specified category, generates a structured, per-paper digest summarizing the core claims, methods, and key findings. It then renders this information into a professional PowerPoint deck (one slide per paper) and persists the entire digest into long-term memory. Ideal for daily research briefings or knowledge management.

A meta-skill designed to generate a comprehensive daily operating brief. It intelligently combines structured data from pasted context (calendars, tasks, emails), user memory (priorities, open loops), and external factors like weather, providing a holistic and actionable plan for the day. Ideal for users needing a single, high-level summary of their commitments and priorities.

This meta-skill automates the creation of a comprehensive daily morning digest. It retrieves the user's local weather forecast, gathers news articles on a specified topic, generates a structured summary from both sources, and finally saves this digest into long-term memory for future recall. Ideal for starting the day with key information.