AugmentClaude

Beeper Cache

Search your Beeper message history across iMessage, WhatsApp, and other bridges.

Installation

  1. Make sure Claude is on your device and in your terminal.

    Skills load from ~/.claude/skills/ when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then run claude in any terminal to verify.

    One-time setup
    npm i -g @anthropic-ai/claude-code

    Already have it? Skip ahead.

  2. Paste into Claude Code or into your terminal.

    This copies the whole skill folder into ~/.claude/skills/beeper-steipete/ — the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.

    Faster alternative (instruction-only skills)

    Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.

    Quick install (SKILL.md only)
    Sign up to copy
  3. Restart Claude Code.

    Quit and reopen Claude Code (or any other agent that loads from ~/.claude/skills/). New skills are picked up on startup.

  4. Just ask Claude.

    Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.

Prefer to read the source first? Open on GitHub.

When Claude uses it

Beeper cache: contact hints, room lookup, WhatsApp/iMessage traces, FTS.

What this skill does

Beeper

Use this for local Beeper history questions, especially vague contact hints across iMessage/WhatsApp bridges.

Source

  • DB: ~/Library/Application Support/BeeperTexts/index.db
  • FTS: mx_room_messages_fts

Start by inspecting accounts/rooms before broad searching.

Workflow

  1. Identify likely account/bridge/room from accounts, participants, and room tables.
  2. Use FTS for text discovery.
  3. Narrow by date, participant, and room.
  4. Report room/account names, date spans, and confidence.

Useful probes:

sqlite3 "$HOME/Library/Application Support/BeeperTexts/index.db" \
  "select * from accounts limit 20;"
sqlite3 "$HOME/Library/Application Support/BeeperTexts/index.db" \
  "select rowid, content from mx_room_messages_fts where mx_room_messages_fts match 'query' limit 20;"

Keep results local; this DB can contain private messages.

Related skills