菜单
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".
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/ArtemXTech/personal-os-skills --skill wispr-flow命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
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.
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.
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".
基于 SOC 职业分类
正在显示 SKILL.md
| name | wispr-flow |
| description | 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". |
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.