Shweta-Mishra-ai
UserGraph memory for AI agents — decisions, context, and session history that survive across every conversation. Works with any LLM.
Categories
Indexed Skills (4)
analyze
Analyze a large file (CSV, Excel, PDF, JSON, code) and return a token-efficient summary. Instead of reading thousands of rows or pages, get schema + statistics + sample in under 500 tokens. Use when user mentions a file path, asks to analyze data, pastes many rows, or references a CSV/Excel/PDF/JSON file.
checkpoint
Save the current session to TokenMizer graph memory. Creates a persistent checkpoint with all tasks, decisions, files, and errors — resumable in any future session. Use when user says "save", "checkpoint", "remember this", "I'm done for today", or session is getting long.
resume
Load a previous session from TokenMizer graph memory. Returns a compact context block (100-600 tokens) covering goals, completed work, decisions, open tasks, and files. Inject this as system context to continue exactly where you left off. Use when user says "resume", "continue from last time", "load my project", "what did we do on X", or starts a session on a known project.
stats
Show TokenMizer token savings stats — how many tokens saved today, this week, cache hit rate, and which layers are saving the most. Use when user asks about token usage, costs, savings, or "how much have we saved".
Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.