Skill UI

This utility automatically collects comprehensive diagnostic data for the Granola application, including system specifications, audio configurations, network connectivity tests, and application metadata. It packages all findings into a single ZIP file for support teams. Use this when preparing a detailed support ticket or troubleshooting complex, persistent issues. The process is designed to collect diagnostic context without exposing sensitive meeting content, transcripts, or private API keys.

This tool gathers comprehensive diagnostic evidence from an Obsidian vault. It collects details such as app versions, installed plugins, appearance settings, file statistics, and console errors into a structured markdown report. Use it when troubleshooting persistent issues or preparing detailed bug reports for developer support.

Keeps task_plan.md, findings.md and progress.md on disk as durable working memory for multi-step AI-agent work, with hooks injecting context and safe state recovery. Use for research or tasks needing 5+ tool calls.

A persistent disk-based planning system for multi-step AI agent work. It stores task_plan.md, findings.md and progress.md on disk, and lifecycle hooks inject project planning context, making long research or 5+ tool-call tasks resumable and trackable.

Persistent file-based planning for multi-step AI agent work. Keeps task_plan.md, findings.md and progress.md on disk as working memory, with lifecycle hooks that inject plan context and resume state across sessions. Suits complex research or tasks needing more than five tool calls.

Implements Manus-style file-based planning to organize complex tasks, enforcing persistent markdown plan/findings/progress files, enforcing read-before-decide and write-after-action rules, and enabling session recovery after /clear.

Applies two-axis scoring, mandatory devil’s advocate reasoning, and persistent history to keep post-task self-reviews honest, resistant to inflation, and suitable for Claude Code sessions.

File-based persistent planning for multi-step AI agent tasks. Maintains task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic retrieval only reads project planning files. session-catchup.py --metadata, when explicitly requested, can inspect local metadata of sessions from the same project; --replay can emit limited and framed excerpts with nonce. Optional gated mode can only request the host to continue if it supports this and never executes commands declared in Markdown. The skill has no network loading path. Use for researc...

Automatically scans any codebase, detects its stack, and generates a persistent project.faf AI context plus readiness scoring so every AI tool can instantly understand and contribute to your project.

This skill manages a persistent, structured personal knowledge base (Wiki). It provides core operations for ingesting external articles, synthesizing insights from conversations, and querying stored knowledge. By maintaining structured files, index lists, and cross-references, it helps build a comprehensive knowledge graph, ensuring all insights are captured and easily retrievable.

This skill transforms an LLM into a disciplined wiki maintainer for Obsidian. It moves beyond simple RAG by incrementally ingesting sources (papers, notes, articles) to build a persistent, interlinked "Second Brain." The LLM manages cross-references, updates core concepts, and maintains an evolving knowledge graph, ensuring that knowledge compounds over time rather than being re-derived on every query. Ideal for deep research, personal knowledge management (PKM), and building comprehensive internal wikis.

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.