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Found 37 Skills
This skill should be used when the user asks to "write an experiment report", "summarize experimental results", "do experiment retrospection", "write a results report", "写实验总结报告", "写实验复盘", or mentions turning completed experiment artifacts into a structured, decision-oriented research report. It assumes strict analysis should come from `results-analysis` first.
Analyze daily hot news and write it to Obsidian. Use this skill when the user mentions "news summary", "today's hot topics", "hot news", "news analysis", or "help me search today's news".
Extract YouTube video transcripts with metadata and save as Markdown to Obsidian vault. Use this skill when the user requests downloading YouTube transcripts, converting YouTube videos to text, or extracting video subtitles. Does not download video/audio files, only metadata and subtitles.
Tiered memory system for cognitive continuity across agent sessions. Manages hot cache (session context loaded at boot) and deep storage (loaded on demand). Use when: (1) starting a session and loading context, (2) deciding what to remember vs forget, (3) promoting/demoting knowledge between tiers, (4) user says 'remember this' or asks about project history.
Karpathy LLM Wiki 패턴 기반 지식 관리 스킬. 코드 프로젝트와 옵시디언 노트 모두 지원. Raw Source(코드·문서)를 읽어 docs/wiki/에 누적형 지식베이스를 구축·유지한다. "wiki", "위키", "ingest", "인제스트", "wiki 점검", "wiki lint", "wiki 업데이트", "문서화해줘", "아키텍처 설명해줘", "어떻게 동작해?" 키워드로 트리거. qmd 검색 도구와 연동하여 토큰 절약 + 높은 검색 정확도 제공.
Guide for setting up and using the Sync with Todoist Plugin for Obsidian (v2.6.0). Use this skill whenever the user asks about integrating Todoist with Obsidian, installing the Todoist plugin, creating query blocks to display tasks in Obsidian notes, adding tasks from Obsidian to Todoist, configuring API tokens, or any question related to the obsidian-todoist-plugin. Trigger even if the user just says "todoist obsidian", "show my tasks in obsidian", "obsidian task sync", or asks how to display/add/manage Todoist tasks inside Obsidian.
Automates the process of exporting data from Letterly and saving it to your Obsidian vault.
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.