semantic-search
SolidSearch vault notes by meaning using local embeddings
Install
Quality Score: 81/100
Skill Content
Details
- Author
- wrg32786
- Repository
- wrg32786/aigent-os
- Created
- 2 months ago
- Last Updated
- 3 days ago
- Language
- JavaScript
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
read-search-smart
Semantic search via Smart Connections embeddings. Returns ranked chunks with cosine scores and breadcrumbs. Use when the query is conceptual (meaning, not literal substring). EN triggers: "find notes about X", "what do I have on X", "semantic search for X", "find concepts related to X", "notes similar to <topic>". FR triggers : "trouve mes notes sur X", "qu'est-ce que j'ai sur X", "recherche sémantique sur X", "concepts liés à X", "notes similaires à <sujet>". Example / Exemple: EN: "find my notes about position sizing" FR: "trouve mes notes sur la taille de position"
vault-search
Use proactively mid-task, on your own initiative, whenever past work might already cover the current step — before re-fixing a recurring or previously-seen bug, touching an unfamiliar subsystem, or making a risky/hard-to-reverse change — not only when asked. Also when the user wants to recall prior context: 'what did we decide about X', 'find everything about Y', 'что мы решили про', 'что мы знаем', 'как мы делали', 'когда последний раз', 'такое уже было', 'вспомни', 'напомни', 'посмотри в памяти', 'найди в памяти', 'как решали', 'где ещё может быть', 'что было с', or similar. Synthesizes across notes with source citations; prefer over generic memory tools when an Obsidian vault is available.
obsidian-search
Search an Obsidian vault for topics, exact text, tags, recent notes, and tasks. Use when fuzzy, date-aware, due, or overdue note retrieval is needed.