Results for “store”

Runs a Pomodoro timer with session tracking, history, and productivity analytics stored in a local SQLite database.

Search and analyze conversation history stored in session JSONL files using jq and shell commands.

Adds a persistent memory layer that stores and retrieves user preferences and context across conversations using semantic search.

Stores, retrieves, and curates persistent facts in a structured memory map, distinguishing between user facts and reference text.

Manages CNC machining programs with commands for status, adding, listing, searching, removing, exporting, and configuring entries stored in JSONL format.

Manage a Gumroad storefront through natural language: list products, track sales, verify license keys, and subscribe to webhook events.

Persists context across sessions by compiling sources into a local SQLite store and markdown tree, then retrieves relevant memory via embedding search.

Continue working on an OpenSpec change by creating the next artifact. Use when the user wants to progress their change, create the next artifact, or continue their workflow.

Captures tax-relevant facts year-round, tracks documents and expenses, and prepares CPA-ready handoff summaries, all stored locally.

Helps users decide whether Vipshop is the best place for branded discount buying, then assists with browser automation for flash sales, inventory checks, cart operations, and member benefits.

Find and complete paid tasks on the 0xWork decentralized marketplace on Base chain, with USDC escrow payments.

Tracks asynchronous and multi-step work by creating, listing, viewing, completing, editing, and deleting tasks stored as JSON files in a .dex directory.

Search locally saved Codex session history stored in SQLite and session_index.jsonl, with filters for provider, time range, and archived status.

Manage a multi-layered knowledge system for ingesting, organizing, syncing, and retrieving knowledge across local files, MCP memory, vector stores, and Git repos.

Compresses conversation transcripts into prioritized notes using an LLM observer, consolidates them when they grow, and recovers any missed sessions without a database or vector store.

Manages a multi-layered knowledge system for ingesting, organizing, syncing, and retrieving knowledge across local files, MCP memory, vector stores, and Git repos.

Manages phone calls and meetings by preparing with context, capturing notes in real time, tracking commitments and follow-ups, and drafting follow-up messages, with all data stored locally.

Builds a configurable scraping agent that collects data from APIs, HTML, or RSS, enriches it with Gemini AI scoring, and stores results in Notion, Google Sheets, Supabase, or local files.

Continuous self-improvement through systematic logging, pattern detection, and behavioral updates. Use when: the owner corrects you, a task fails, you discover a better approach, or you notice a recurring pattern. Store raw learnings in .learnings/, update the specific skill or workflow that caused the issue when appropriate, and avoid vague promises to do better.