Skills your agents can run

Comprehensive framework for deep analysis of articles, papers, and long-form content using 10+ thinking models (SCQA, 5W2H, critical thinking, inversion, mental models, first principles, systems thinking, six thinking hats). Use when users want to: (1) deeply understand complex articles/content, (2) analyze arguments and identify logical flaws, (3) extract actionable insights from reading materials, (4) create study notes or learning summaries, (5) compare multiple sources, (6) transform knowledge into practical applications, or (7) apply specific thinking frameworks. Triggered by phrases like 'analyze this article,' 'help me understand,' 'deep dive into,' 'extract insights from,' 'use [framework name],' or when users provide URLs/long-form content for analysis.

This skill transforms training and onboarding meeting transcripts into structured learning materials, documentation, and actionable review content. Use this skill when processing meeting transcripts from onboarding sessions, training meetings, or knowledge transfer conversations to extract key information and generate study guides, quick reference sheets, checklists, FAQ documents, action item lists, and training effectiveness assessments.

This skill should be used when creating or working with modular project plans stored as Obsidian-compatible markdown wikis. Use when the user asks to create a plan, roadmap, or documentation system that needs to be navigable in Obsidian, or when working with existing plan wikis that use the %% [ ] %% task tracking format.

Extract and persist insights from the current conversation to the knowledge base

Enable Obsidian integration and migrate existing vault to wiki links

Unified content extraction and action planning. Use when user says "tapestry <URL>", "weave <URL>", "help me plan <URL>", "extract and plan <URL>", "make this actionable <URL>", or similar phrases indicating they want to extract content and create an action plan. Automatically detects content type (YouTube video, article, PDF) and processes accordingly.

Patterns and structure for writing functional documentation including guides, conceptual explanations, tutorials, and best practices documentation.

Use when structuring Standard Operating Procedures with proper sections, organization, and markdown formatting. Covers SOP anatomy and section organization.

Query data from this vault. USE WHEN user asks about projects, clients, tasks, daily notes. Use grep to extract frontmatter - do NOT read full files.

Comprehensive guidelines for Obsidian.md plugin development, covering all 27 ESLint rules from eslint-plugin-obsidianmd v0.1.9, TypeScript best practices, memory management, API usage (requestUrl vs fetch), UI/UX standards, locale file sentence-case enforcement, and submission requirements. Use this guide when developing Obsidian plugins, editing main.ts, updating manifest.json, implementing the Plugin class, working with MarkdownView and TFile, performing vault operations, or using any Obsidian API.

Electronic lab notebook API integration. Access notebooks, manage entries/attachments, backup notebooks, integrate with Protocols.io/Jupyter/REDCap, for programmatic ELN workflows.

Logic coherence pass for per-H3 section files: enforce a clear paragraph-1 thesis and surface paragraph-island risks (connector stats are diagnostic, not a quota) before merging. **Trigger**: logic polisher, section logic, thesis statement, connectors, 段落逻辑, 连接词, 论证主线, 润色逻辑. **Use when**: `sections/S*.md` exist but read like paragraph islands; you want a targeted, debuggable self-loop before `section-merger`. **Skip if**: sections are missing/thin (fix `subsection-writer` first) or evidence packs/briefs are scaffolded (fix C3/C4 first). **Network**: none. **Guardrail**: do not add new citations; do not invent facts; do not change citation keys; do not move citations across subsections.

Semantic search and Dataview-style queries across the Obsidian vault. Use when searching for notes by meaning, finding related content, querying frontmatter metadata, or answering questions about vault contents. Trigger phrases include "search vault", "find notes about", "what do I have on", "related notes", "list tasks", "show positions".

Manage Capacities notes, daily entries, and weblinks.

This skill should be used when the user asks about "joan", "pods", "workspace", "domain knowledge", "context sync", "joan init", "joan todo", or needs guidance on how Joan's knowledge management system works. Provides workflow guidance for pods, todos, plans, and workspace management.

Enables Claude to create and interact with NotebookLM for document analysis, audio overviews, and knowledge synthesis

PROACTIVELY track and document project design decisions without being asked. Activate automatically when detecting architecture discussions, implementation decisions, pattern choices, library selections, or any technical decisions. Also use when user explicitly says "record this", "what's our design status", or equivalent. Do NOT wait for user to ask - record important decisions immediately.

Build a personal travel system for dream destinations, trip planning, and travel memories.

将原始想法转化为结构清晰、判断明确、具有长期价值的“得否”风格内容报告。

Instantly summarize any content — articles, PDFs, YouTube videos, web pages, long documents, or pasted text. Extracts key points, action items, and insights. Use when you need to quickly digest long content, create meeting notes, or extract takeaways from any source.