audioeditor

AI-powered audio and video editing pipeline: Whisper word-level transcription (insanely-fast-whisper on MPS) → Claude segment classification (KEEP / CUT_FILLER / CUT_FALSE_START / CUT_STUTTER / CUT_DEAD_AIR / CUT_EDIT_MARKER) → ffmpeg execution with 40ms qsin crossfades and room-tone gap fill → optional Cleanvoice API cloud polish for mouth sounds and loudness normalization. Distinguishes rhetorical pauses from accidental ones. Breaths attenuated to 50% volume (not removed). Preview mode (--preview flag) shows proposed cuts without modifying audio. Aggressive mode (--aggressive flag) applies tighter filler detection thresholds. Polish step (--polish flag) uploads to Cleanvoice API for mouth sound removal and loudness normalization — confirm before cloud upload of sensitive content. Pipeline tools: Transcribe.ts, Analyze.ts, Edit.ts, Polish.ts, Pipeline.ts. Single workflow: Clean.md. Requires ANTHROPIC_API_KEY; CLEANVOICE_API_KEY optional for polish step. USE WHEN: clean audio, edit audio, remove filler words,

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仓库: danielmiessler/Personal_AI_Infrastructure
最近来源活动: 2026年5月1日 21:11
检测到的 SKILL.md 语言: 英语
星标: 15,967
分支: 2,205

安装方式

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。

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/danielmiessler/Personal_AI_Infrastructure --skill audioeditor

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。

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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。

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SKILL.md

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apertureoscillation

3-pass scope oscillation that holds a question constant while shifting the scope envelope — narrow/tactical, wide/strategic, then synthesis — to surface design tensions invisible at any single zoom level. Requires two distinct inputs: the tactical target (what you're building) and strategic context (the larger system it serves). Pass 1 captures the component's own internal logic. Pass 2 reveals what the system needs it to be. Pass 3 finds where those views diverge — that delta is the output. Produces: design tensions, scope recommendations, and coherence assessments. Single workflow: Workflows/Oscillate.md. BPE-fragile — quarterly test recommended to verify smarter models don't naturally oscillate scope without prompting. Best integration point: Algorithm OBSERVE phase (before ISC) or THINK phase (before approach commitment). NOT a lens rotation (that's IterativeDepth) and NOT idea generation (that's BeCreative). NOT FOR deep incident causal chains (use RootCauseAnalysis) or assumption decomposition (use Firs

2026-05-01

aphorisms

Manages a curated aphorism collection with full CRUD — content-based matching, themed search, thinker research, and database maintenance. Organizes quotes by author, theme, context, and newsletter usage history to prevent repetition. Four workflows: FindAphorism (analyze newsletter content, match themes, return 3-5 ranked recommendations with rationale), AddAphorism (parse quote + author, extract themes, validate uniqueness, update theme index), ResearchThinker (deep research on philosopher, add sourced quotes to database), SearchAphorisms (search by theme, keyword, or author). Database at ~/.claude/skills/aphorisms/Database/aphorisms.md — stores full quote text, author attribution, theme tags, context/background, source reference, and usage history per entry. Theme index supports 12+ categories: Work Ethic, Resilience, Learning, Stoicism, Risk, Wisdom, Truth-seeking, Excellence, Curiosity, Freedom, Rationality, Clarity. Supported thinkers: Hitchens, Feynman, Deutsch, Sam Harris, Spinoza, plus any requested a

2026-05-01

apify

Scrape social media platforms, business data, and e-commerce via Apify actors — Instagram profiles/posts/hashtags/comments, LinkedIn profiles/jobs/posts, TikTok profiles/hashtags/videos/comments, YouTube channels/search/comments, Facebook posts/groups/comments, Google Maps business search with contact/review/image extraction, Amazon products/reviews/pricing, and general-purpose multi-page web crawling with custom pageFunction extraction logic. File-based TypeScript wrappers (scrapeInstagramProfile, searchGoogleMaps, scrapeAmazonProduct, scrapeWebsite, etc.) filter and transform data in code before returning to model context, achieving 95-99% token savings over direct MCP protocol. Parallel multi-platform queries via Promise.all for social listening dashboards. Lead enrichment pipeline: Google Maps → qualified filter → optional LinkedIn enrichment. Competitive analysis across Instagram, YouTube, and TikTok simultaneously. USE WHEN scrape Instagram, scrape LinkedIn, scrape TikTok, scrape YouTube, scrape Faceboo

2026-05-01

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AudioEditor

AI-powered audio/video editing — transcription, intelligent cut detection, automated editing with crossfades, and optional cloud polish.

Customization

Before executing, check for user customizations at: ~/.claude/PAI/USER/SKILLCUSTOMIZATIONS/AudioEditor/

If this directory exists, load and apply any PREFERENCES.md, configurations, or resources found there. These override default behavior. If the directory does not exist, proceed with skill defaults.

Voice Notification

You MUST send this notification BEFORE doing anything else when this skill is invoked.

name	AudioEditor
description	AI-powered audio and video editing pipeline: Whisper word-level transcription (insanely-fast-whisper on MPS) → Claude segment classification (KEEP / CUT_FILLER / CUT_FALSE_START / CUT_STUTTER / CUT_DEAD_AIR / CUT_EDIT_MARKER) → ffmpeg execution with 40ms qsin crossfades and room-tone gap fill → optional Cleanvoice API cloud polish for mouth sounds and loudness normalization. Distinguishes rhetorical pauses from accidental ones. Breaths attenuated to 50% volume (not removed). Preview mode (--preview flag) shows proposed cuts without modifying audio. Aggressive mode (--aggressive flag) applies tighter filler detection thresholds. Polish step (--polish flag) uploads to Cleanvoice API for mouth sound removal and loudness normalization — confirm before cloud upload of sensitive content. Pipeline tools: Transcribe.ts, Analyze.ts, Edit.ts, Polish.ts, Pipeline.ts. Single workflow: Clean.md. Requires ANTHROPIC_API_KEY; CLEANVOICE_API_KEY optional for polish step. USE WHEN: clean audio, edit audio, remove filler words, clean podcast, remove ums, cut dead air, polish audio, trim recording, audio cleanup, cut stutters, edit interview recording, preview edits, aggressive clean. NOT FOR video composition or animation (use Remotion).
effort	medium

AudioEditor

AI-powered audio/video editing — transcription, intelligent cut detection, automated editing with crossfades, and optional cloud polish.

Customization

Before executing, check for user customizations at: ~/.claude/PAI/USER/SKILLCUSTOMIZATIONS/AudioEditor/

If this directory exists, load and apply any PREFERENCES.md, configurations, or resources found there. These override default behavior. If the directory does not exist, proceed with skill defaults.

Voice Notification

You MUST send this notification BEFORE doing anything else when this skill is invoked.

Tool	Command	Purpose
Transcribe	`bun ${CLAUDE_SKILL_DIR}/Tools/Transcribe.ts <file>`	Word-level transcription via Whisper
Analyze	`bun ${CLAUDE_SKILL_DIR}/Tools/Analyze.ts <transcript.json>`	LLM-powered edit classification
Edit	`bun ${CLAUDE_SKILL_DIR}/Tools/Edit.ts <file> <edits.json>`	Execute cuts with crossfades + room tone
Polish	`bun ${CLAUDE_SKILL_DIR}/Tools/Polish.ts <file>`	Cleanvoice API cloud polish
Pipeline	`bun ${CLAUDE_SKILL_DIR}/Tools/Pipeline.ts <file> [--polish]`	Full end-to-end pipeline

Service	Env Var	Where to Get
Anthropic (for analyze step)	`ANTHROPIC_API_KEY`	Already set via Claude Code
Cleanvoice (for polish step, optional)	`CLEANVOICE_API_KEY`	cleanvoice.ai Dashboard Settings API Key

audioeditor

安装方式

检查来源文件

AudioEditor

Customization

Voice Notification

AudioEditor

Customization

Voice Notification

Workflow Routing

Pipeline Architecture

Tools

API Keys Required

Examples

Gotchas

Execution Log

audioeditor

来源信息

安装方式

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同仓库更多 Skills

同仓库更多 Skills

AudioEditor

Customization

Voice Notification

AudioEditor

Customization

Voice Notification

Workflow Routing

Pipeline Architecture

Tools

API Keys Required

Examples

Gotchas

Execution Log