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Found 42 Skills
Master Agent for Topic Selection System. Coordinates three stages: hot topic collection, topic generation, and topic review, supporting iterations until qualified topics are produced. Trigger methods: (1) "Start Today's Topics" initiates the full process (2) "Today's AI Hot Topics" only collects hot topics without generating topics (3) "I Have a Topic" enters single topic analysis (4) "Recommend Some Good Topics" directly outputs recommendations. Outputs are saved to the Obsidian Topic Library.
Task Capture Assistant - A pure task execution recording tool focused on real-time capture with zero-friction startup. Follows the principle of "Separation of Capture and Processing": only records, no review during startup. Triggers: /task-capture, /capture, /record
Catalog GitHub starred repositories into a structured Obsidian vault with AI-synthesized summaries, normalized topic taxonomy, graph-optimized wikilinks, and Obsidian Bases (.base) index files for filtered views. Fetches repo metadata and READMEs via gh CLI, classifies repos into categories and normalized topics, generates individual repo notes with frontmatter, and creates hub notes for categories/topics/authors that serve as graph-view connection points. Use this skill when users want to: (1) Catalog or index their GitHub stars into Obsidian (2) Create a searchable knowledge base from starred repos (3) Organize and discover patterns in their GitHub stars (4) Export GitHub stars as structured markdown notes (5) Build a graph of starred repos by topic, language, or author For saving/distilling a specific URL to a note, use kcap instead. For browsing AI tweets, use ai-twitter-radar instead.
Run a health check on existing memory (the wiki substrate) and goal artifacts. Use this when the user wants to lint the wiki, health-check the knowledge base, find orphan pages, spot broken or missing cross-links, clean up stale claims and unresolved wikilinks with safe local fixes, consolidate a legacy root `overview.md` into `index.md`, or health-check goal artifacts. Not for adding new material; use /loam::adding-to-memory or /loam::learning-from-session for that.
Read a local source file or synthesize conversation context, then integrate admitted content directly into topic, entity, concept, and analysis pages in existing memory (the wiki substrate). Use this when the user wants to add a source to the wiki, add a document, ingest a local note, transcript, article, report, or PDF, or explicitly preserve the current conversation as a topic note. For session-learning routing across wiki, guidance, checkpoint, task annotation, or discard, use /loam::learning-from-session. Must not ingest a goal wholesale; admit only independently reusable findings.
Guide Ane through structured reflection at end of day, end of week, after a decision, or after encountering new learning material. Use when the user says "journal", "reflect on today", "weekly review", "what did I learn", "after-action review", or references writing to the MELdigitalgarden vault. Produces Obsidian-compatible markdown; writes directly to the vault when filesystem MCP is connected, otherwise returns content for manual save.