Guide for fixing bugs in ClaudeBar following Chicago School TDD and rich domain design. Use this skill when: (1) User reports a bug or unexpected behavior (2) Fixing a defect in existing functionality (3) User asks "fix this bug" or "this doesn't work correctly" (4) Correcting behavior that violates the user's mental model
Search Taiwan.md knowledge base (900+ articles about Taiwan). Use when the user asks about Taiwan, needs Taiwan-related context, wants to find specific Taiwan knowledge articles, or references 台灣/Taiwan topics. Returns top matches with title, category, and description. Can then read full articles for deeper context. TRIGGER when: user mentions Taiwan, 台灣, or asks about Taiwanese history, culture, food, technology, people, geography, etc.
Enhanced Just-In-Time document loading system that discovers, loads, and caches relevant documentation based on user intent and project context. Use when users need specific documentation on demand.
Self-learning system that captures corrections during sessions and reminds users to run /reflect to update CLAUDE.md. Use when discussing learnings, corrections, or when the user mentions remembering something for future sessions.
Generate structured research questions, testable hypotheses, and empirical strategies from a topic or dataset
Use when exploring, understanding, or answering questions about a codebase that has Repowise indexed (indicated by a .repowise/ directory in the project root). Activates for questions like "how does X work", "explain the architecture", "where is Y implemented", "what does this module do", or any task requiring understanding of codebase structure before diving into source files.
List installed skills, search the skill registry, install new skills, and manage workspace extensions. Use when the user asks to find, install, list, or configure skills, or mentions skill registry, extensions, or workspace capabilities.
Look up and record geolocations in Obsidian notes using the Map View plugin. Use as part of helping the user to plan a trip, research places to visit, record a location in a note, or whenever the content being added to a note includes named real-world places. Every time the user asks you add to a note something that is a location, consider using this skill so it will be logged as a geolocation.
Persistent research knowledge base that accumulates papers, ideas, experiments, claims, and their relationships across the entire research lifecycle. Inspired by Karpathy's LLM Wiki pattern. Use when user says "知识库", "research wiki", "add paper", "wiki query", "查知识库", or wants to build/query a persistent field map.
Multi-source ML dataset discovery. Search HuggingFace Hub, OpenML, GitHub, and paper cross-references for datasets relevant to a research task. Use when asked to "find datasets for", "search ML datasets", "what datasets exist for", or "discover training data for".
Use when a quest needs to attach, import, reproduce, repair, verify, compare, or publish a baseline and its metrics.
Scaffold or draft new MetaMask documentation to editorial standards. Use when creating a new page, writing a first draft, or helping a non-writer meet the documentation team's expectations.
Review MetaMask documentation for editorial compliance (voice, terminology, formatting, content type, frontmatter, workflow). Use before submitting a PR or when asked to audit existing pages.
Analyze the current session and propose improvements to skills. **Proactively invoke this skill** when you notice user corrections after skill usage, or at the end of skill-heavy sessions. Also use when user says "reflect", "improve skill", or "learn from this".
Integrate digital health data sources (Apple Health, Fitbit, Oura Ring) and connect to WellAlly.tech knowledge base. Import external health device data, standardize to local format, and recommend relevant WellAlly.tech knowledge base articles based on health data. Support generic CSV/JSON import, provide intelligent article recommendations, and help users better manage personal health data.
Create professional slide decks from topics or documents. Generates structured content with data-driven charts, speaker notes, and complete PPTX files. Applies persuasive storytelling principles (Pyramid Principle, assertion-evidence). Supports multiple formats (Marp, PowerPoint). Use for presentations, pitches, slide decks, or keynotes.
Consolidates redundant documentation while preserving all valuable content. This skill should be used when users want to clean up documentation bloat, merge redundant docs, reduce documentation sprawl, or consolidate multiple files covering the same topic. Triggers include "clean up docs", "consolidate documentation", "too many doc files", "merge these docs", or when documentation exceeds 500 lines across multiple files covering similar topics.
Optimize CLAUDE.md files using progressive disclosure. Goal: Maximize information efficiency, readability, and maintainability. Use when: User wants to optimize CLAUDE.md, information is duplicated across files, or LLM repeatedly fails to follow rules.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Analyze your Claude Code session logs to improve prompt quality, optimize tool usage, and become a better AI-native engineer.
