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---
title: "Gif Search — Search/download GIFs from Tenor via curl + jq"
sidebar_label: "Gif Search"
description: "Search/download GIFs from Tenor via curl + jq"
---
{/* This page is auto-generated from the skill's SKILL.md by website/scripts/generate-skill-docs.py. Edit the source SKILL.md, not this page. */}
# Gif Search
Search/download GIFs from Tenor via curl + jq.
## Skill metadata
| | |
|---|---|
| Source | Bundled (installed by default) |
| Path | `skills/media\gif-search` |
| Version | `1.1.0` |
| Author | Hermes Agent |
| License | MIT |
| Platforms | linux, macos, windows |
| Tags | `GIF`, `Media`, `Search`, `Tenor`, `API` |
## Reference: full SKILL.md
:::info
The following is the complete skill definition that Hermes loads when this skill is triggered. This is what the agent sees as instructions when the skill is active.
:::
# GIF Search (Tenor API)
Search and download GIFs directly via the Tenor API using curl. No extra tools needed.
## When to use
Useful for finding reaction GIFs, creating visual content, and sending GIFs in chat.
## Setup
Set your Tenor API key in your environment (add to `${HERMES_HOME:-~/.hermes}/.env`):
```bash
TENOR_API_KEY=your_key_here
```
Get a free API key at https://developers.google.com/tenor/guides/quickstart — the Google Cloud Console Tenor API key is free and has generous rate limits.
## Prerequisites
- `curl` and `jq` (both standard on macOS/Linux)
- `TENOR_API_KEY` environment variable
## Search for GIFs
```bash
# Search and get GIF URLs
curl -s "https://tenor.googleapis.com/v2/search?q=thumbs+up&limit=5&key=${TENOR_API_KEY}" | jq -r '.results[].media_formats.gif.url'
# Get smaller/preview versions
curl -s "https://tenor.googleapis.com/v2/search?q=nice+work&limit=3&key=${TENOR_API_KEY}" | jq -r '.results[].media_formats.tinygif.url'
```
## Download a GIF
```bash
# Search and download the top result
URL=$(curl -s "https://tenor.googleapis.com/v2/search?q=celebration&limit=1&key=${TENOR_API_KEY}" | jq -r '.results[0].media_formats.gif.url')
curl -sL "$URL" -o celebration.gif
```
## Get Full Metadata
```bash
curl -s "https://tenor.googleapis.com/v2/search?q=cat&limit=3&key=${TENOR_API_KEY}" | jq '.results[] | {title: .title, url: .media_formats.gif.url, preview: .media_formats.tinygif.url, dimensions: .media_formats.gif.dims}'
```
## API Parameters
| Parameter | Description |
|-----------|-------------|
| `q` | Search query (URL-encode spaces as `+`) |
| `limit` | Max results (1-50, default 20) |
| `key` | API key (from `$TENOR_API_KEY` env var) |
| `media_filter` | Filter formats: `gif`, `tinygif`, `mp4`, `tinymp4`, `webm` |
| `contentfilter` | Safety: `off`, `low`, `medium`, `high` |
| `locale` | Language: `en_US`, `es`, `fr`, etc. |
## Available Media Formats
Each result has multiple formats under `.media_formats`:
| Format | Use case |
|--------|----------|
| `gif` | Full quality GIF |
| `tinygif` | Small preview GIF |
| `mp4` | Video version (smaller file size) |
| `tinymp4` | Small preview video |
| `webm` | WebM video |
| `nanogif` | Tiny thumbnail |
## Notes
- URL-encode the query: spaces as `+`, special chars as `%XX`
- For sending in chat, `tinygif` URLs are lighter weight
- GIF URLs can be used directly in markdown: `![alt](https://github.com/NousResearch/hermes-agent/blob/main/skills/media\gif-search/url)`
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---
title: "Songsee — Audio spectrograms/features (mel, chroma, MFCC) via CLI"
sidebar_label: "Songsee"
description: "Audio spectrograms/features (mel, chroma, MFCC) via CLI"
---
{/* This page is auto-generated from the skill's SKILL.md by website/scripts/generate-skill-docs.py. Edit the source SKILL.md, not this page. */}
# Songsee
Audio spectrograms/features (mel, chroma, MFCC) via CLI.
## Skill metadata
| | |
|---|---|
| Source | Bundled (installed by default) |
| Path | `skills/media\songsee` |
| Version | `1.0.0` |
| Author | community |
| License | MIT |
| Platforms | linux, macos, windows |
| Tags | `Audio`, `Visualization`, `Spectrogram`, `Music`, `Analysis` |
## Reference: full SKILL.md
:::info
The following is the complete skill definition that Hermes loads when this skill is triggered. This is what the agent sees as instructions when the skill is active.
:::
# songsee
Generate spectrograms and multi-panel audio feature visualizations from audio files.
## Prerequisites
Requires [Go](https://go.dev/doc/install):
```bash
go install github.com/steipete/songsee/cmd/songsee@latest
```
Optional: `ffmpeg` for formats beyond WAV/MP3.
## Quick Start
```bash
# 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.png
```
## Visualization 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_analyze` for automated audio analysis
- Useful for comparing audio outputs, debugging synthesis, or documenting audio processing pipelines
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---
title: "Youtube Content — YouTube transcripts to summaries, threads, blogs"
sidebar_label: "Youtube Content"
description: "YouTube transcripts to summaries, threads, blogs"
---
{/* This page is auto-generated from the skill's SKILL.md by website/scripts/generate-skill-docs.py. Edit the source SKILL.md, not this page. */}
# Youtube Content
YouTube transcripts to summaries, threads, blogs.
## Skill metadata
| | |
|---|---|
| Source | Bundled (installed by default) |
| Path | `skills/media\youtube-content` |
| Version | `1.0.0` |
| Author | Teknium (teknium1), Hermes Agent |
| License | MIT |
| Platforms | linux, macos, windows |
| Tags | `YouTube`, `Video`, `Transcripts`, `Media` |
## Reference: full SKILL.md
:::info
The following is the complete skill definition that Hermes loads when this skill is triggered. This is what the agent sees as instructions when the skill is active.
:::
# YouTube Content Tool
## When to use
Use when the user shares a YouTube URL or video link, asks to summarize a video, requests a transcript, or wants to extract and reformat content from any YouTube video. Transforms transcripts into structured content (chapters, summaries, threads, blog posts).
Extract transcripts from YouTube videos and convert them into useful formats.
## Setup
Use `uv` so the dependency is installed into the same Hermes-managed environment
that runs the helper script:
```bash
uv pip install youtube-transcript-api
```
## Helper Script
`SKILL_DIR` is the directory containing this SKILL.md file. The script accepts any standard YouTube URL format, short links (youtu.be), shorts, embeds, live links, or a raw 11-character video ID.
```bash
# JSON output with metadata
uv run python SKILL_DIR/scripts/fetch_transcript.py "https://youtube.com/watch?v=VIDEO_ID"
# Plain text (good for piping into further processing)
uv run python SKILL_DIR/scripts/fetch_transcript.py "URL" --text-only
# With timestamps
uv run python SKILL_DIR/scripts/fetch_transcript.py "URL" --timestamps
# Specific language with fallback chain
uv run python SKILL_DIR/scripts/fetch_transcript.py "URL" --language tr,en
```
## Output Formats
After fetching the transcript, format it based on what the user asks for:
- **Chapters**: Group by topic shifts, output timestamped chapter list
- **Summary**: Concise 5-10 sentence overview of the entire video
- **Chapter summaries**: Chapters with a short paragraph summary for each
- **Thread**: Twitter/X thread format — numbered posts, each under 280 chars
- **Blog post**: Full article with title, sections, and key takeaways
- **Quotes**: Notable quotes with timestamps
### Example — Chapters Output
```
00:00 Introduction — host opens with the problem statement
03:45 Background — prior work and why existing solutions fall short
12:20 Core method — walkthrough of the proposed approach
24:10 Results — benchmark comparisons and key takeaways
31:55 Q&A — audience questions on scalability and next steps
```
## Workflow
1. **Fetch** the transcript using the helper script with `--text-only --timestamps` via `uv run python`.
2. **Validate**: confirm the output is non-empty and in the expected language. If empty, retry without `--language` to get any available transcript. If still empty, tell the user the video likely has transcripts disabled.
3. **Chunk if needed**: if the transcript exceeds ~50K characters, split into overlapping chunks (~40K with 2K overlap) and summarize each chunk before merging.
4. **Transform** into the requested output format. If the user did not specify a format, default to a summary.
5. **Verify**: re-read the transformed output to check for coherence, correct timestamps, and completeness before presenting.
## Error Handling
- **Transcript disabled**: tell the user; suggest they check if subtitles are available on the video page.
- **Private/unavailable video**: relay the error and ask the user to verify the URL.
- **No matching language**: retry without `--language` to fetch any available transcript, then note the actual language to the user.
- **Dependency missing**: run `uv pip install youtube-transcript-api` and retry.