Analyze Wispr Flow voice dictation data. Stats, search, export, visualizations. Use when user says "dictation history", "word counts", "voice analytics", "how much did I dictate", "search my dictation".
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Access and analyze your Wispr Flow voice dictation history.
# Overall stats
{baseDir}/scripts/get-stats.py
# Today only
{baseDir}/scripts/get-stats.py --period today
# This week
{baseDir}/scripts/get-stats.py --period week
# JSON output
{baseDir}/scripts/get-stats.py --json
# Search all dictations
{baseDir}/scripts/search-history.py "keyword"
# Filter by app
{baseDir}/scripts/search-history.py "keyword" --app ghostty
# Date range
{baseDir}/scripts/search-history.py "keyword" --from 2026-01-01 --to 2026-01-10
# JSON backup (text only, portable)
{baseDir}/scripts/export-data.py -o ~/Downloads/wispr-backup.json
# Obsidian daily notes format
{baseDir}/scripts/export-data.py --format obsidian -o ~/vault/Voice/
# Generate interactive HTML dashboard
{baseDir}/scripts/create-dashboard.py -o ~/Downloads/wispr-dashboard.html
open ~/Downloads/wispr-dashboard.html
# Recent dictations (EST timezone)
sqlite3 ~/Library/Application\ Support/Wispr\ Flow/flow.sqlite "
SELECT datetime(timestamp, '-5 hours') as time, app, substr(formattedText, 1, 80)
FROM History ORDER BY timestamp DESC LIMIT 10
"
# Words by app
sqlite3 ~/Library/Application\ Support/Wispr\ Flow/flow.sqlite "
SELECT app, SUM(numWords) as words FROM History
WHERE app IS NOT NULL GROUP BY app ORDER BY words DESC LIMIT 10
"
# Today's word count
sqlite3 ~/Library/Application\ Support/Wispr\ Flow/flow.sqlite "
SELECT SUM(numWords) FROM History
WHERE date(timestamp, '-5 hours') = date('now', '-5 hours')
"
Location: ~/Library/Application Support/Wispr Flow/flow.sqlite
Key tables:
History - all dictations (timestamp, app, formattedText, numWords, duration, audio blob)Timezone: Database stores UTC. Use -5 hours for EST.
See docs/space-management.md for cleaning up audio blobs.
See docs/troubleshooting.md for common issues.
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Coordinate authorized work across persistent AI agents and existing tasks. Use when the user asks to route work, hand off a task, check agent status, or manage several ongoing responsibilities through one conversation.
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Query and sync Granola meetings to Obsidian vault. Use when user mentions Granola, meeting transcripts, or wants to sync meeting notes. Reads from local cache - no API needed.
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Turn expert podcasts into personalized protocols with cited experiments. Load 300 episodes from terminal, run an expert-informed interview, build experiments in your Obsidian morning routine. Use when user says "notebooklm", "load channel", "expert interview", "notebooklm ask", "health protocol", or wants to turn expert content into actionable experiments.
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Import NotebookLM notebooks into your Obsidian vault as linked knowledge graphs. Sources become wikilink-able files, Q&A answers get citations resolved to [[wikilinks]] with passage-level deep links. Use when user says "notebooklm import", "import notebook", "notebooklm sources", or wants to import NotebookLM data into vault files.
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Load context from vault memory. Temporal queries (yesterday, last week, session history) use native JSONL timeline. Topic queries use QMD BM25 search. "recall graph" generates interactive temporal graph of sessions and files. Every recall ends with "One Thing" - the single highest-leverage next action synthesized from results. Use when user says "recall", "what did we work on", "load context about", "remember when we", "prime context", "yesterday", "what was I doing", "last week", "session history", "recall graph", "session graph".
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Sync Claude Code sessions to Obsidian markdown. Export, resume, add notes, close sessions. USE WHEN user says "sync sessions", "export sessions", "resume session", "add session note", "close session", "log session".
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