Skill UI

This comprehensive skill suite provides powerful capabilities for managing and manipulating Portable Document Format (PDF) files. Users can extract raw text content, programmatically fill out form fields, merge multiple documents into a single file, and split large PDFs into separate pages, streamlining complex document workflows.

This advanced tool acts as a specialized prompt engineer, guiding users to create highly optimized, production-ready prompts for various AI models (LLMs, Midjourney, etc.). It enforces strict writing rules, guides detailed intent extraction (Task, Context, Constraints), and provides model-specific best practices (e.g., Claude vs. GPT-5.x) to maximize AI output quality and maintain consistency. Essential for professional content creators, developers, and researchers needing precise AI interaction.

Automates the entire process of web research and professional communication. It takes raw web search results and formats them into polished, structured messages, digests, or threaded summaries optimized for Slack. Users can generate outputs in Slack's native Markdown format, Block Kit JSON, or a ready-to-use Webhook command, perfect for weekly reports, security alerts, and competitive intelligence updates.

This guide details how to use Skyvern's AI-powered Command Line Interface (CLI) for advanced browser automation. Users can perform tasks such as quick data validation, structured data extraction, form filling, secure login, and building complex, multi-step, reusable workflows across various websites. It offers solutions for scenarios where deterministic selectors fail.

This guide details a systematic methodology for identifying specific music tracks. Since searching solely by song title is often too generic, users must first establish constraints on the artist (e.g., nationality, birth year, genre, career type) to narrow the search space. Once the artist is identified, the search should focus on their discography, album tracklists, or specific release years to pinpoint the desired song.

This technique is designed for the final verification stage when analyzing a candidate TV series. Instead of accepting initial matches, users must perform targeted searches combining the show name and specific character details (e.g., birth year, specific plot event, relationship). This ensures that the candidate show satisfies all complex constraints, eliminating false positives and confirming the accuracy of the plot details.

This powerful skill analyzes various document types (PDF, Word, RTF) and web URLs. It generates a detailed report where every factual claim made in the analysis is accompanied by an inline screenshot from the source material, highlighting the exact cited text. This ensures users can visually verify the accuracy and source of every piece of information.

This skill analyzes and reports on the token usage, expenditure, and budget for AI models (like Claude Code) by querying a local SQLite database. It is essential for users who need detailed financial accountability, tracking costs by project, tool, or date, and managing operational budgets.

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.

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 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.

TextMe is a local daemon that transforms your smartphone into a powerful remote control for Claude Code sessions. By bridging inbound iMessages (from whitelisted numbers) through services like Sendblue, users can interact with their AI session on their laptop, executing code, navigating filesystems, sending voice notes, and receiving real-time updates. Ideal for supervising headless workstations or coding while away from your desk.