Transcribe audio files (MP3, WAV, M4A, etc.) using OpenAI Whisper AI and ffmpeg to produce structured, timestamped transcripts with automatic summarization and action item extraction. Supports multilingual transcription, speaker diarization, and meeting minutes generation.
Open the source and read safety notes before installing.
Source-backed facts for citing this resource, derived directly from the registry — also available as plain text for AI assistants.
Decision playbook
Signals are comparatively strong, but you should still validate source, privacy posture, and package provenance for your environment.
0
96
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No baseline selected
No major trust-signal divergence detected in the current selection.
Confirm ownership and provenance before trusting install instructions.
Source link availableRequired
Open the canonical repository and verify ownership.
Source provenance statusRequired
Marked as first-party.
Metadata reviewed
Registry metadata indicates a reviewed listing.
Validate risk disclosures before installation or API wiring.
Safety notes presentRequired
Review the listed safety guidance before running commands.
Privacy notes presentRequired
Review data handling notes before connecting accounts or secrets.
Trust level risk gateRequired
Trust level does not block evaluation.
Check package metadata and artifact integrity signals.
Install payload available
Install or copy payload is available for review.
Package verification flag
Package marked verified.
Checksum metadata
SHA-256 hash is present.
Use compare context to validate trade-offs before adoption.
Compare tray has multiple entries
Add at least one more entry to compare trust differences.
Baseline comparison available
No baseline peer selected yet.
Diverging trust signals identified
No major trust-signal divergence found.
Setup at a glance
Copy-ready — paste the snippet to get started.
Adoption plan
Current risk score 0/100. Use staged verification before broader rollout.
Validate source and review signals before any execution.
Confirm source provenanceRequired
Source URL/provenance metadata is present.
Confirm metadata review state
Listing has review metadata.
Verify install payload
Install/config payload exists and can be inspected.
Confirm safety, privacy, and package integrity signals.
Review safety notesRequired
Safety notes are present.
Review privacy notesRequired
Privacy notes are present.
Verify package integrity metadata
Package verification/checksum metadata is available.
Adopt in controlled steps based on the selected plan.
Run in isolated sandbox firstRequired
Use a constrained sandbox and observe behavior across multiple tasks.
Roll out graduallyRequired
Roll out to a small cohort before wider usage.
Set monitoring and fallback
Define rollback path and monitor errors after adoption.
Evidence readiness
Required evidence gates are covered (6/6 signals complete).
Source repository/provenance is listed.
Required in this preset
Review metadata is present.
Required in this preset
Safety notes are present.
Required in this preset
Privacy notes are present.
Optional in this preset
Package integrity metadata is present.
Optional in this preset
Install payload is available.
Required in this preset
Required evidence gates are covered for this preset.
Decision timeline
6/6 steps complete with no blocking gaps for this preset.
triage
Source/provenance metadata is available.
triage
Review metadata is available.
verify
Safety notes are available.
verify
Privacy notes are available.
verify
Package integrity metadata is available.
rollout
Install payload is available.
No required blockers for this timeline preset.
Prerequisite readiness
6 prerequisites to line up before setup.
Safety & privacy surface
1 safety and 1 privacy notes across 1 risk area. Review closely: network access.
| Platform | Support | Install path |
|---|---|---|
| claude-code | Native | .claude/skills/<skill-name>/SKILL.md |
| codex | Native | .agents/skills/<skill-name>/SKILL.md |
| windsurf | Native | .windsurf/skills/<skill-name>/SKILL.md |
| gemini | Native | .gemini/skills/<skill-name>/SKILL.md or .agents/skills/<skill-name>/SKILL.md |
| cursor | Adapter | .cursor/rules/<skill-name>.mdc |
| cli | Manual | AGENTS.md or tool-specific context file |
# Convert to mono 16kHz WAV
ffmpeg -i input.mp3 -ar 16000 -ac 1 input.wav
# Python whisper (pip install -U openai-whisper)
whisper input.wav --model small --language en --output_format txtClaude can transcribe audio files (MP3, WAV, M4A, etc.) and generate structured summaries with timestamps, action items, and speaker identification. This skill leverages Whisper AI and ffmpeg through Claude's Code Interpreter to process audio locally.
SKILL.md.SKILL.md content as reusable workflow instructions..gemini/skills/<skill-name>/SKILL.md or .agents/skills/<skill-name>/SKILL.md where supported..cursor/rules/*.mdc adapter for project rules.Required:
What Claude handles automatically:
Prompt: "Transcribe this audio file and give me a clean text transcript."
Claude will:
Prompt: "Transcribe this meeting recording and create a timestamped summary with key discussion points every 5 minutes."
Claude will:
Prompt: "Transcribe this audio and extract all action items, decisions, and to-dos mentioned."
Claude will:
Prompt: "Transcribe this conversation and identify different speakers. Label them as Speaker 1, Speaker 2, etc."
Claude will:
This skill defaults to OpenAI Whisper, but you can pair it with hosted APIs when you need streaming or built-in audio intelligence:
| Engine | Type | Runs locally | Notable for |
|---|---|---|---|
| Whisper (OpenAI) | Open-source model | Yes | Free, self-hosted, strong multilingual accuracy |
| Deepgram | Hosted API | No | Low-latency streaming and speaker diarization |
| AssemblyAI | Hosted API | No | Built-in summaries, topic detection, and audio intelligence |
Use Whisper for local, no-cost, privacy-preserving transcription; reach for Deepgram for real-time streaming or AssemblyAI when you want higher-level audio analysis out of the box.
"Transcribe this meeting and create:
1. Attendee list (if mentioned)
2. Key discussion topics with timestamps
3. Decisions made
4. Action items with owners
5. Next steps"
"Transcribe this podcast episode and create:
1. Episode summary (2-3 sentences)
2. Main topics discussed with timestamps
3. Key quotes
4. Chapters (every 10 minutes)"
"Transcribe this interview with speaker labels.
Format as Q&A with:
- Interviewer questions highlighted
- Interviewee responses
- Notable quotes pulled out"
Issue: Transcription is inaccurate Solution: Ask Claude to use a larger Whisper model or pre-process the audio for noise reduction
Issue: Wrong language detected Solution: Explicitly specify the language in your prompt ("Transcribe this French audio...")
Issue: Timestamps are off Solution: Ask Claude to re-align timestamps or specify the desired timestamp interval
Issue: Speaker diarization missing Solution: Request it explicitly: "Please identify different speakers and label them"
Show that Audio Transcription + Summarization Skill is listed on HeyClaude. Paste this Markdown into your README — it renders the badge and links back to this page.
[](https://heyclau.de/entry/skills/audio-transcription-summarization)Audio Transcription + Summarization Skill side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.
3 trust signals differ across this comparison (Package trust, Source provenance, Submitter).
Next steps differ across entries — use the actions in the table below to copy install commands and source links per resource.
| Field | Transcribe audio files (MP3, WAV, M4A, etc.) using OpenAI Whisper AI and ffmpeg to produce structured, timestamped transcripts with automatic summarization and action item extraction. Supports multilingual transcription, speaker diarization, and meeting minutes generation. Open dossier | A Claude skill that fetches web pages, strips boilerplate with Mozilla Readability, respects robots.txt, removes duplicate content, and turns the result into structured summaries. Open dossier | Expert subagent foreground background delegation capability pack for choosing when to run Claude Code subagents interactively versus in the background, coordinating parallel work, and returning summarized results safely. Open dossier | Microsoft .NET team skill marketplace for AI coding agents working on .NET, C#, ASP.NET Core, Blazor, MAUI, diagnostics, MSBuild, NuGet, upgrades, tests, AI workflows, RAG pipelines, and C# MCP servers. Open dossier |
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| Next stepsDiffers | ||||
| Trust | ||||
| Review status | ReviewedMaintainer reviewed | ReviewedMaintainer reviewed | ReviewedMaintainer reviewed | ReviewedMaintainer reviewed |
| Package trustDiffers | Package verified2025-10-15 | Package verified2025-10-15 | Package not verified | Package not verified |
| Source provenanceDiffers | Source-backed | No submission link | Submission linkedSource submission | Source-backed |
| SubmitterDiffers | — | — | kiannidev | — |
| Install risk | Review first | Low risk | Review first | Review first |
| Notes | Safety ✓ Privacy ✓ | Safety ✓ Privacy ✓ | Safety ✓ Privacy ✓ | Safety ✓ Privacy ✓ |
| Brand | — | — | — | — |
| Category | skills | skills | skills | skills |
| Source | First-party | First-party | Source-backed | Source-backed |
| Author | JSONbored | JSONbored | kiannidev | .NET Team at Microsoft |
| Added | 2025-10-15 | 2025-10-15 | 2026-06-14 | 2026-06-18 |
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| Harness | ||||
| Source repo | — | — | — | — |
| Safety notes | ✓Installs and runs local executables: pip install openai-whisper (or whisper.cpp) plus ffmpeg, and downloads Whisper model files (39MB-1.5GB) on first use. Review the install and transcription commands and run them in a trusted environment. | ✓Executes network requests to crawl third-party websites and installs scraping libraries (Playwright, BeautifulSoup) on first use; respect robots.txt, rate limits, and each site's terms of service, and review target URLs before running. Crawled pages are written to local files (Markdown, JSON, CSV); review output paths so the skill does not overwrite existing files. | ✓Background subagents reduce interactive oversight; do not use them for destructive edits, production deploys, or credential-handling tasks. Parallel background subagents multiply token cost and can race on the same files or external systems. Foreground subagents keep the parent waiting; overusing them erases the latency benefits of delegation. Subagents isolate context but still consume tokens in their own windows; unbounded parallel research can become expensive quickly. This skill recommends delegation modes; it must not spawn background subagents for high-risk tasks without explicit approval. | ✓.NET build, test, upgrade, package, template, publish, and migration tasks can modify project files, lock files, generated code, packages, app settings, and deployment artifacts. Diagnostics skills may suggest collecting traces, dumps, counters, crash data, MSBuild binlogs, or performance profiles; collect those artifacts only with explicit approval and storage controls. MCP server skills can expose local code, files, APIs, credentials, or production services as callable tools; review tool descriptions, parameter validation, authorization, and transport choice before connecting clients. NuGet and publish workflows can push packages or artifacts to public or private feeds; verify package IDs, versions, API keys, feed targets, and release policy before publishing. Upgrade and modernization guidance should be verified against each application's framework support window, deployment target, package compatibility, and rollback plan. |
| Privacy notes | ✓Audio files and the generated transcripts may contain personal or confidential speech. Transcription runs locally (no cloud upload) but transcripts, summaries, and downloaded models are written to local disk; control where these outputs are stored and shared. | ✓Fetches and stores content from external websites locally and may use site cookies or auth tokens to reach gated pages; do not crawl private or authenticated data without authorization, and keep any credentials out of saved output. | ✓Background subagent transcripts may accumulate sensitive file contents, customer examples, and internal URLs before summarization. Summaries returned to the parent session can still leak data if subagents paste raw tool output instead of redacted findings. Public delegation notes should describe mode choice and oversight level, not full subagent transcripts. | ✓.NET repositories may contain connection strings, appsettings secrets, user secrets, certificates, environment variables, telemetry keys, logs, traces, dumps, package credentials, and production data. MSBuild binlogs, crash dumps, profiler output, and test artifacts can contain source paths, dependency graphs, request data, exception payloads, configuration values, and environment details. MCP servers created with these skills may forward prompts and tool inputs to local processes, HTTP services, databases, cloud APIs, or third-party model providers depending on the implementation. Keep private NuGet credentials, signing keys, deployment secrets, customer data, dumps, and proprietary source out of public prompts, issues, pull requests, and shared artifacts. |
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| Config | — | — | — | — |
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| Claim | Unclaimed | Unclaimed | Unclaimed | Unclaimed |
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