HyperFrames Audio
heygen-com/hyperframes
Mixes audio already placed in a HyperFrames composition: fades, gain, ducking under a voiceover, effect chains, automation and shared submix buses.
Audio spectrograms/features (mel, chroma, MFCC) via CLI. An agent skill from Prismer-AI/PrismerCloud.
MITAuto-check passed
Install Prismer Songsee
$ npx skills add Prismer-AI/PrismerCloud --skill prismer-songsee -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Prismer-AI/PrismerCloud prismer-songsee --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Prismer-AI/PrismerCloud.git skills-src && mkdir -p .claude/skills && cp -r skills-src/sdk/cloud/catalog/skills/prismer-songsee .claude/skills/prismer-songsee && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "prismer-songsee" agent skill from https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/prismer-songsee into .claude/skills/prismer-songsee/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prismer-songsee", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/prismer-songseeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Prismer-AI/PrismerCloud --skill prismer-songsee -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Prismer-AI/PrismerCloud prismer-songsee --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Prismer-AI/PrismerCloud.git skills-src && mkdir -p .agents/skills && cp -r skills-src/sdk/cloud/catalog/skills/prismer-songsee .agents/skills/prismer-songsee && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "prismer-songsee" agent skill from https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/prismer-songsee into .agents/skills/prismer-songsee/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prismer-songsee", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Prismer-AI/PrismerCloud --skill prismer-songsee -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Prismer-AI/PrismerCloud prismer-songsee --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Prismer-AI/PrismerCloud.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/sdk/cloud/catalog/skills/prismer-songsee .cursor/skills/prismer-songsee && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "prismer-songsee" agent skill from https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/prismer-songsee into .cursor/skills/prismer-songsee/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prismer-songsee", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Prismer-AI/PrismerCloud.git --path sdk/cloud/catalog/skills/prismer-songsee--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Prismer-AI/PrismerCloud --skill prismer-songsee -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Prismer-AI/PrismerCloud prismer-songsee --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Prismer-AI/PrismerCloud.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/sdk/cloud/catalog/skills/prismer-songsee .gemini/skills/prismer-songsee && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "prismer-songsee" agent skill from https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/prismer-songsee into .gemini/skills/prismer-songsee/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prismer-songsee", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Prismer-AI/PrismerCloud prismer-songseeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Prismer-AI/PrismerCloud --skill prismer-songsee -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Prismer-AI/PrismerCloud.git skills-src && mkdir -p .github/skills && cp -r skills-src/sdk/cloud/catalog/skills/prismer-songsee .github/skills/prismer-songsee && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "prismer-songsee" agent skill from https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/prismer-songsee into .github/skills/prismer-songsee/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prismer-songsee", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Prismer-AI/PrismerCloud --skill prismer-songsee -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Prismer-AI/PrismerCloud prismer-songsee --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Prismer-AI/PrismerCloud.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/sdk/cloud/catalog/skills/prismer-songsee .opencode/skills/prismer-songsee && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "prismer-songsee" agent skill from https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/prismer-songsee into .opencode/skills/prismer-songsee/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prismer-songsee", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
prismer-songsee- GitHub stars
- 1.6k
- Used in
- 5 other repos
- Token cost
- ~724 tokens
- SKILL.md length
- 220 words
- Files
- 4
- Skills in repo
- 88
- Repo updated
- First seen
- Licence
- MIT
At a glance
Audio spectrograms/features (mel, chroma, MFCC) via CLI. An agent skill from Prismer-AI/PrismerCloud.
- SKILL.md covers Prerequisites, Quick Start, Visualization Types and Common Flags, plus 2 more sections
- Calls go
What it does
Prismer Songsee is an agent skill from Prismer-AI/PrismerCloud. Audio spectrograms/features (mel, chroma, MFCC) via CLI.
Its SKILL.md is about 720 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `PROVENANCE.md`).
The licence is MIT.
Example prompts
- “/prismer-songsee”
What it can do on your machine
Read from SKILL.md and the folder at commit 0d240dd. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
go
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
go.dev
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Prismer Songsee loads about 724 tokens when it runs. Until then it costs about 18 tokens; SKILL.md has 220 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from Prismer-AI/PrismerCloud at commit 0d240dd, republished under its MIT licence (© Prismer-AI). 220 words, ~724 tokens.
Download SKILL.mdSave it as
.claude/skills/prismer-songsee/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- prismer-songsee
- description
- Audio spectrograms/features (mel, chroma, MFCC) via CLI.
- scope
- common
- category
- media
- version
- 1.0.0
- author
- community
- license
- MIT
- platforms
- linux, macos, windows
- metadata.nativeReplaces
- songsee
- metadata.requiresExplicitGrant
- true
- prerequisites.commands
- songsee
songsee
Generate spectrograms and multi-panel audio feature visualizations from audio files.
Prerequisites
Requires Go:
go install "github.com/steipete/songsee/cmd/songsee@${SONGSEE_VERSION:?Set an exact reviewed release or commit}"Optional: ffmpeg for formats beyond WAV/MP3.
Quick Start
# Basic spectrogram
songsee track.mp3
# Save to specific file
songsee track.mp3 -o spectrogram.png
# Multi-panel visualization grid
songsee track.mp3 --viz spectrogram,mel,chroma,hpss,selfsim,loudness,tempogram,mfcc,flux
# Time slice (start at 12.5s, 8s duration)
songsee track.mp3 --start 12.5 --duration 8 -o slice.jpg
# From stdin
cat track.mp3 | songsee - --format png -o out.pngVisualization Types
Use --viz with comma-separated values:
| Type | Description |
|---|---|
spectrogram | Standard frequency spectrogram |
mel | Mel-scaled spectrogram |
chroma | Pitch class distribution |
hpss | Harmonic/percussive separation |
selfsim | Self-similarity matrix |
loudness | Loudness over time |
tempogram | Tempo estimation |
mfcc | Mel-frequency cepstral coefficients |
flux | Spectral flux (onset detection) |
Multiple --viz types render as a grid in a single image.
Common Flags
| Flag | Description |
|---|---|
--viz | Visualization types (comma-separated) |
--style | Color palette: classic, magma, inferno, viridis, gray |
--width / --height | Output image dimensions |
--window / --hop | FFT window and hop size |
--min-freq / --max-freq | Frequency range filter |
--start / --duration | Time slice of the audio |
--format | Output format: jpg or png |
-o | Output file path |
Notes
- WAV and MP3 are decoded natively; other formats require
ffmpeg - Output images can be inspected with
vision_analyzefor automated audio analysis - Useful for comparing audio outputs, debugging synthesis, or documenting audio processing pipelines
Execution limits
Record songsee --help and the installed version/build provenance. Use a task-owned output path; never overwrite input audio. Probe input duration/channels before decoding, cap file size and rendering time to the task budget, and test the actual requested codec. Core analysis is local and needs no account. A passing WAV smoke does not establish support for every codec or OS.
© Prismer-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files in sdk/cloud/catalog/skills/prismer-songsee of Prismer-AI/PrismerCloud.
- SKILL.md
- LICENSE
- LICENSE.hermes
- PROVENANCE.md
Open the folder on GitHubat commit 0d240dd
Used in 5 other repositories
We found 6 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 5 other GitHub owners. This page covers the copy in Prismer-AI/PrismerCloud, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Prismer Songsee next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Prismer Songsee this skillPrismer-AI/PrismerCloud | 1.6k | 5 repos | ~724 | Automated safety check: Pass | MIT | |
| HyperFrames Audioheygen-com/hyperframes | 60k | 1 repos | ~6.5k | Automated safety check: Pass | Apache-2.0 | |
| Songseetrpc-group/trpc-agent-go | 1.9k | 13 repos | ~328 | Automated safety check: Pass | Apache-2.0 | |
| Songseetaracodlabs/aiden | 852 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Audio Descriptionsthedaviddias/Front-End-Checklist | 74k | — | ~549 | Automated safety check: Pass | MIT | |
| Venice Audio Musicnexu-io/open-design | 100k | — | ~297 | Automated safety check: Pass | Apache-2.0 |
Similar skills
Songsee
trpc-group/trpc-agent-go
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Songsee
taracodlabs/aiden
Visualize audio as mel spectrograms, chromagrams, MFCC (librosa)
Audio Descriptions
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing rendered HTML, interactive components, or design-system patterns related to Provide audio descriptions for video.
Venice Audio Music
nexu-io/open-design
Music generation queueing, retrieval, and completion endpoints via Venice.ai.
Team Audio
Donchitos/Claude-Code-Game-Studios
Orchestrate the audio team — audio-director, sound-designer, technical-artist, gameplay-programmer — direction through implementation.
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Questions about Prismer Songsee
What does Prismer Songsee do?
Audio spectrograms/features (mel, chroma, MFCC) via CLI. An agent skill from Prismer-AI/PrismerCloud. Prismer Songsee is an agent skill from Prismer-AI/PrismerCloud. Audio spectrograms/features (mel, chroma, MFCC) via CLI.
How do I install Prismer Songsee in Claude Code?
Run `npx skills add Prismer-AI/PrismerCloud --skill prismer-songsee -a claude-code`. Or copy the skill folder (sdk/cloud/catalog/skills/prismer-songsee in Prismer-AI/PrismerCloud) into .claude/skills/prismer-songsee in your project. Claude Code loads it when a task matches its description.
How do I install Prismer Songsee in Codex?
Run `npx skills add Prismer-AI/PrismerCloud --skill prismer-songsee -a codex`. Or copy the skill folder (sdk/cloud/catalog/skills/prismer-songsee in Prismer-AI/PrismerCloud) into .agents/skills/prismer-songsee in your project. Codex loads it when a task matches its description.
Can I use Prismer Songsee in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Prismer-AI/PrismerCloud --skill prismer-songsee -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prismer-songsee, .gemini/skills/prismer-songsee, .github/skills/prismer-songsee and .opencode/skills/prismer-songsee in your project.
What does Prismer Songsee need to run?
Going by SKILL.md and its folder, Prismer Songsee needs the command-line tools its instructions call (go).
Does Prismer Songsee access the network?
SKILL.md names 1 domain. As links in the text: go.dev. This is read from the text; nothing was executed.
Is Prismer Songsee safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Prismer Songsee use?
Prismer Songsee is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Prismer Songsee use?
About 724 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Prismer Songsee?
Skills that share tags, products or a category with Prismer Songsee: HyperFrames Audio (heygen-com/hyperframes, 60k stars), Songsee (trpc-group/trpc-agent-go, 1.9k stars), Songsee (taracodlabs/aiden, 852 stars) and Audio Descriptions (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Prismer Songsee?
Prismer-AI (a GitHub organization) maintains it in Prismer-AI/PrismerCloud, which has 1,555 GitHub stars. The repository holds 88 skills in this directory. The repository was last updated on October 11, 2026.
Source: Prismer-AI/PrismerCloud on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.