skills/memory/SKILL.md
--- id: memory name: Memory description: Semantic search over notes (MEMORY.md, memory/*.md), chat log, and filesystem index. When user ran "pasture index --source filesystem", use memory_search for "what files do I have?" with query like "directory contents". Tools: memory_search, memory_get, memory_save. See SKILL.md. --- # Memory Semantic search over your **notes** (`MEMORY.md`, `memory/*.md`) and optional **search log** (chat history). Use memory_search for notes whenever relevant. You can
npx skillsauth add bishwashere/cowcode skills/memoryInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Semantic search over your notes (MEMORY.md, memory/*.md) and optional search log (chat history). Use memory_search for notes whenever relevant. You can narrow by date range (e.g. "What did I note last week?") so results are filtered by when the note was written, not only by semantic match.
Search log (built-in) - Chat is stored in workspace/chat-log/YYYY-MM-DD.jsonl and can be searched. Only use memory_search to search chat history when the user explicitly asks, e.g. "what did we talk about yesterday?", "search my logs", "last time we chatted", "what did I ask you before?", "our previous conversation". Do not search logs for general queries; only when the user clearly mentions past conversations, yesterday, or logs.
Filesystem index - If the user has run pasture index --source filesystem, the same memory index contains directory listings (one chunk per directory). Results can have path filesystem/ or filesystem/rel/path and snippet text like "Directory: /path\nContents: file1, file2, subdir/, ...". When the user asks "what files do I have?", "list my files", "what's in my workspace?", "search my memory for files", use memory_search with a query that matches directory/listings, e.g. "directory contents", "list of files and folders", "files and directories". Then report the path and snippet from any results whose path starts with filesystem/ - the snippet is the directory listing. Do not use memory_get for paths starting with filesystem/ (only notes and chat-log paths are readable that way).
Auto-indexing - Notes (MEMORY.md, memory/*.md) and chat-log files are synced when you run memory_search. No manual "moo index" needed.
tool in arguments: "memory_search", "memory_get", or "memory_save")tool: "memory_search", query (required). Optional: maxResults, minScore, date, dateFrom, dateTo, dateRange, type. Searches notes (and chat when the user asks about past conversations). Date range - When the user asks for notes or activity in a time window (e.g. "What did I note last week?", "notes from February", "yesterday's notes"), set dateFrom and dateTo as YYYY-MM-DD, or use dateRange: "yesterday", "last_week" / "last_7_days", or "last_month". Results are restricted to chunks whose date falls in that range (not only semantic match). For "yesterday" chat, date: "yesterday" still includes that day's chat-log; combining with dateRange: "yesterday" narrows both notes and chat to that day. Type filter - Set type to restrict results to a specific category (e.g. "chat", "filesystem", or any custom type used when saving). Returns snippets with path, line range, and type field (paths may be MEMORY.md, memory/2025-02-15.md, chat-log/2025-02-16.jsonl, or filesystem/ / filesystem/rel/path for directory listings). Only search chat when the user explicitly mentions it.tool: "memory_get", path (required, from memory_search). Optional: from, lines. Read a snippet by path (including chat-log/*.jsonl when the user explicitly asked about past conversations).tool: "memory_save", text (required): the note to save. Optional: file (default: MEMORY.md; use memory/notes.md or any .md path inside the workspace), type (a short category label, e.g. "preference", "project", "task"). Appends the note with today's date (and type tag if given) and immediately re-indexes so it is searchable at once. Use when the user says "remember that…", "note this down", "save this for later", "add to my notes", etc.memory_search
description: Semantic search over notes (MEMORY.md, memory/*.md), chat log, and filesystem index.
parameters:
query: string
dateFrom: string
dateTo: string
dateRange: string
type: string
maxResults: number
minScore: number
memory_get
description: Read a file/snippet by path (from memory_search result). Use for notes and chat-log paths.
parameters:
path: string
from: number
lines: number
memory_save
description: Append a note to MEMORY.md or another .md file. Use for "remember that", "note this down".
parameters:
text: string
file: string
type: string
"memory" to skills.enabled. Embedding: if an OpenAI key is available (e.g. OPENAI_API_KEY or an OpenAI model in LLM config), OpenAI is used; otherwise local (Ollama, nomic-embed-text) is used. You can override with memory.embedding in config.~/.pasture/workspace/. Create MEMORY.md and optionally memory/*.md. Chat logs live in workspace/chat-log/ and are created automatically.development
--- id: mongodb name: MongoDB description: Read-only MongoDB queries against project-configured databases. Actions: query (find docs), aggregate (pipeline), stats (counts + date range), project_health (pre-built NextPost AI analytics summary). URI and collection hints come from the dashboard Projects → Connectors panel. --- # MongoDB Run **read-only** queries against a project's MongoDB database using the URI and collection hints stored in the dashboard **Projects → Connectors** panel. ## Whe
testing
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testing
Scan linked teammates and score who best fits a user request. Returns ranked agents with relevance scores, reasoning, and a recommendation (delegate, handle-in-main, adapt, or create-new). Call when the topic does not clearly match your active skills or before deciding whether to delegate.
tools
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