teknium1 732c66b0f3 refactor: reorganize skills into sub-categories

The skills directory was getting disorganized — mlops alone had 40
skills in a flat list, and 12 categories were singletons with just
one skill each.

Code change:
- prompt_builder.py: Support sub-categories in skill scanner.
  skills/mlops/training/axolotl/SKILL.md now shows as category
  'mlops/training' instead of just 'mlops'. Backwards-compatible
  with existing flat structure.

Split mlops (40 skills) into 7 sub-categories:
- mlops/training (12): accelerate, axolotl, flash-attention,
  grpo-rl-training, peft, pytorch-fsdp, pytorch-lightning,
  simpo, slime, torchtitan, trl-fine-tuning, unsloth
- mlops/inference (8): gguf, guidance, instructor, llama-cpp,
  obliteratus, outlines, tensorrt-llm, vllm
- mlops/models (6): audiocraft, clip, llava, segment-anything,
  stable-diffusion, whisper
- mlops/vector-databases (4): chroma, faiss, pinecone, qdrant
- mlops/evaluation (5): huggingface-tokenizers,
  lm-evaluation-harness, nemo-curator, saelens, weights-and-biases
- mlops/cloud (2): lambda-labs, modal
- mlops/research (1): dspy

Merged singleton categories:
- gifs → media (gif-search joins youtube-content)
- music-creation → media (heartmula, songsee)
- diagramming → creative (excalidraw joins ascii-art)
- ocr-and-documents → productivity
- domain → research (domain-intel)
- feeds → research (blogwatcher)
- market-data → research (polymarket)

Fixed misplaced skills:
- mlops/code-review → software-development (not ML-specific)
- mlops/ml-paper-writing → research (academic writing)

Added DESCRIPTION.md files for all new/updated categories.

2026-03-09 03:35:53 -07:00

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name

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author

license

metadata

gif-search

Search and download GIFs from Tenor using curl. No dependencies beyond curl and jq. Useful for finding reaction GIFs, creating visual content, and sending GIFs in chat.

1.0.0

Hermes Agent

MIT

hermes

GIF Search (Tenor API)

Search and download GIFs directly via the Tenor API using curl. No extra tools needed.

Prerequisites

curl and jq (both standard on Linux)

Search for GIFs

# Search and get GIF URLs
curl -s "https://tenor.googleapis.com/v2/search?q=thumbs+up&limit=5&key=AIzaSyAyimkuYQYF_FXVALexPuGQctUWRURdCYQ" | 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=AIzaSyAyimkuYQYF_FXVALexPuGQctUWRURdCYQ" | jq -r '.results[].media_formats.tinygif.url'

Download a GIF

# Search and download the top result
URL=$(curl -s "https://tenor.googleapis.com/v2/search?q=celebration&limit=1&key=AIzaSyAyimkuYQYF_FXVALexPuGQctUWRURdCYQ" | jq -r '.results[0].media_formats.gif.url')
curl -sL "$URL" -o celebration.gif

Get Full Metadata

curl -s "https://tenor.googleapis.com/v2/search?q=cat&limit=3&key=AIzaSyAyimkuYQYF_FXVALexPuGQctUWRURdCYQ" | 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 (the one above is Tenor's public demo key)
`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

The API key above is Tenor's public demo key — it works but has rate limits
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](url)

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