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b9bac87d5a
Completes the Windows-gating coverage for the built-in skills/ tree. Every
bundled SKILL.md now carries an explicit platforms: declaration so the
loader (agent.skill_utils.skill_matches_platform) can skip-load skills
that don't fit the current OS.
74 skills declared cross-platform (platforms: [linux, macos, windows]):
Creative (16): ascii-art, ascii-video, architecture-diagram, baoyu-comic,
baoyu-infographic, claude-design, creative-ideation, design-md,
excalidraw, humanizer, manim-video, p5js, pixel-art,
popular-web-designs, pretext, sketch, songwriting-and-ai-music,
touchdesigner-mcp
Autonomous agents: claude-code, codex, hermes-agent, opencode
Data/devops: jupyter-live-kernel, kanban-orchestrator, kanban-worker,
webhook-subscriptions, dogfood, codebase-inspection
GitHub: github-auth, github-code-review, github-issues,
github-pr-workflow, github-repo-management
Media: gif-search, heartmula, songsee, spotify, youtube-content
MCP / email / gaming / notes / smart-home: native-mcp, himalaya,
pokemon-player, obsidian, openhue
mlops (non-broken): weights-and-biases, huggingface-hub, llama-cpp,
outlines, segment-anything-model, dspy, trl-fine-tuning
Productivity: airtable, google-workspace, linear, maps, nano-pdf,
notion, ocr-and-documents, powerpoint
Red-teaming / research: godmode, arxiv, blogwatcher, llm-wiki,
polymarket
Software-dev: debugging-hermes-tui-commands, hermes-agent-skill-authoring,
node-inspect-debugger, plan, requesting-code-review, spike,
subagent-driven-development, systematic-debugging,
test-driven-development, writing-plans
Misc: yuanbao
5 skills gated from Windows (platforms: [linux, macos]):
mlops/inference/vllm (serving-llms-vllm)
vLLM is officially Linux-only; Windows requires WSL.
mlops/training/axolotl
Axolotl's flash-attn + deepspeed + bitsandbytes stack is Linux-first.
mlops/training/unsloth
Requires Triton + xformers + flash-attn — Linux only in practice.
mlops/models/audiocraft (audiocraft-audio-generation)
torchaudio ffmpeg backend + encodec dependencies are Linux-first.
mlops/inference/obliteratus
Research abliteration workflow; relies on Linux-focused pytorch
kernels and MLX — no first-class Windows path.
Same strict-over-lenient policy as the optional-skills sweep: when the
underlying tool's Windows support is rough, missing, or WSL-only, gate the
skill. Easier to un-gate after verified Windows support lands than to leak
partial support that manifests as mid-task failures.
Combined with prior commits in this branch, every bundled SKILL.md
(skills/ + optional-skills/) now has a platforms: declaration.
83 lines
2.3 KiB
Markdown
83 lines
2.3 KiB
Markdown
---
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name: songsee
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description: "Audio spectrograms/features (mel, chroma, MFCC) via CLI."
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version: 1.0.0
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author: community
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license: MIT
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platforms: [linux, macos, windows]
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metadata:
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hermes:
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tags: [Audio, Visualization, Spectrogram, Music, Analysis]
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homepage: https://github.com/steipete/songsee
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prerequisites:
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commands: [songsee]
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---
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# songsee
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Generate spectrograms and multi-panel audio feature visualizations from audio files.
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## Prerequisites
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Requires [Go](https://go.dev/doc/install):
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```bash
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go install github.com/steipete/songsee/cmd/songsee@latest
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```
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Optional: `ffmpeg` for formats beyond WAV/MP3.
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## Quick Start
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```bash
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# Basic spectrogram
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songsee track.mp3
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# Save to specific file
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songsee track.mp3 -o spectrogram.png
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# Multi-panel visualization grid
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songsee track.mp3 --viz spectrogram,mel,chroma,hpss,selfsim,loudness,tempogram,mfcc,flux
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# Time slice (start at 12.5s, 8s duration)
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songsee track.mp3 --start 12.5 --duration 8 -o slice.jpg
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# From stdin
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cat track.mp3 | songsee - --format png -o out.png
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```
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## Visualization Types
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Use `--viz` with comma-separated values:
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| Type | Description |
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|------|-------------|
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| `spectrogram` | Standard frequency spectrogram |
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| `mel` | Mel-scaled spectrogram |
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| `chroma` | Pitch class distribution |
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| `hpss` | Harmonic/percussive separation |
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| `selfsim` | Self-similarity matrix |
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| `loudness` | Loudness over time |
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| `tempogram` | Tempo estimation |
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| `mfcc` | Mel-frequency cepstral coefficients |
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| `flux` | Spectral flux (onset detection) |
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Multiple `--viz` types render as a grid in a single image.
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## Common Flags
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| Flag | Description |
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|------|-------------|
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| `--viz` | Visualization types (comma-separated) |
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| `--style` | Color palette: `classic`, `magma`, `inferno`, `viridis`, `gray` |
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| `--width` / `--height` | Output image dimensions |
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| `--window` / `--hop` | FFT window and hop size |
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| `--min-freq` / `--max-freq` | Frequency range filter |
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| `--start` / `--duration` | Time slice of the audio |
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| `--format` | Output format: `jpg` or `png` |
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| `-o` | Output file path |
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## Notes
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- WAV and MP3 are decoded natively; other formats require `ffmpeg`
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- Output images can be inspected with `vision_analyze` for automated audio analysis
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- Useful for comparing audio outputs, debugging synthesis, or documenting audio processing pipelines
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