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".
日本語の概要は準備中です。原文の説明を表示しています。
実行スコア 未検証
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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日本語の概要は準備中です。原文の説明を表示しています。
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日本語の概要は準備中です。原文の説明を表示しています。
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".
日本語の概要は準備中です。原文の説明を表示しています。
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日本語の概要は準備中です。原文の説明を表示しています。