Skill UI

Tycana keeps task context across Claude conversations, capturing new work items, planning the day, tracking patterns, and offering energy-aware recommendations that deepen with each sync through MCP.

Captures coding session learnings by extracting corrections, successes, and anti-patterns with confidence scoring so teams can track, reinforce, and reuse technical knowledge across projects.

Provides shared GWS CLI behaviors for authentication, global flags, formatting, pagination, and safety patterns, plus zsh tips and community guidance for safely scripting workspace workloads.

This library provides production-ready, type-safe patterns for automating Apple Notes management on macOS. Using JXA and AppleScript wrapped in a Node.js client, it allows developers to easily list, create, search, and perform batch operations on notes, complete with robust error handling and throttling for reliable workflow integration.

unslop is a powerful command-line interface (CLI) tool designed for post-processing text. It programmatically strips out common and identifiable patterns associated with AI-generated writing. Use it as a final, deterministic pass before publishing documentation, blog posts, or any content derived from large language models (LLMs), ensuring a more natural and human-like tone.

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 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.

A specialized tool designed to strip out predictable, statistical patterns common in AI-generated writing. It systematically rewrites overly polished or uniform text—such as blog posts, emails, or social media captions—by injecting genuine human signals, ensuring the final output reads like it was written by a real person.

This tool analyzes historical sprint velocity data to generate a comprehensive engineering team health report. It moves beyond simple charts by diagnosing underlying delivery patterns, identifying risks like chronic over-commitment, and assessing story point calibration. The report provides actionable recommendations for improving capacity planning and team predictability.

This agent analyzes a Monte Carlo monitor's report and configuration to identify alert patterns. It recommends concrete configuration changes for metric, custom SQL, validation, and table monitors, helping reduce false positives and alert fatigue without sacrificing real signal.

A comprehensive project management guide designed for managing high-stakes scientific conference submissions (e.g., INTERSPEECH). It maps the rigorous annual cycle, from initial drafting and submission deadlines to camera-ready production and final conference presentation. The guide outlines specific milestones, roles, risk patterns, and backward planning techniques to ensure timely and high-quality project completion.

A persistent, adaptive coaching system covering the full job search lifecycle: JD decoding, resume and LinkedIn optimization, mock interviews, transcript analysis, STAR storybank building, and salary negotiation scripting. Tracks your patterns and scores answers to sharpen over time.