audio-analysis
Analyze a local recording for speakers and label timestamped transcript segments without uploading audio
Skill by QuixiAI
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/quixiai-audio-analysis
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/audio-analysis
What's inside
- Skill name
audio-analysis- Description
- Analyze a local recording for speakers and label timestamped transcript segments without uploading audio
- License
- MIT
- Instructions
- 23 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Local Audio Analysis Use device-local speaker diarization when the user asks who spoke when in a recording. For a plain speech-to-text request, use `transcribe`; it follows the local/cloud choice in Settings and does not require a diarization job. ## Method 1. Confirm the exact local audio path and, when available, a Whisper JSON path with timestamped segments. 2. Call `analyze_local_audio` with `action=start`. The tool requires operator approval and never uploads audio. 3. Report the returned cache directory and immediately explain that analysis continues in the background. 4. Poll with `action=status` and the same `audio_path` until the job completes or fails. 5. On completion, use the returned diarized JSON or SRT artifact. Preserve `SPEAKER_*` labels unless the user supplies identities. 6. If the job fails, report its cause and exact next step from the status. Never present acoustic heuristics as a reliable reading of emotion. ## Boundaries - Do not enable autonomous audio analysis without the user's explicit choice. - Do not copy generated artifacts into a source repository; they belong in the Hexis cache. - Only request `emotion_heuristics` when the user asks for them. Label the result as a coarse local acoustic estimate.
From QuixiAI/Hexis, MIT.
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Signals
- Stars
- 621
- Forks
- 86
- Open issues
- 6
- Last commit (this folder)
- Aug 29, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/QuixiAI/Hexis
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Copies of this SKILL.md published by others; search shows only one of them.
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Cite this page
audio-analysis skill. Agent Mart. https://agentmart.dev/skills/quixiai-audio-analysis (last updated 2026-10-24)