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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.
73 lines
2.4 KiB
Markdown
73 lines
2.4 KiB
Markdown
---
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name: gif-search
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description: 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.
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version: 1.0.0
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author: Hermes Agent
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license: MIT
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metadata:
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hermes:
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tags: [GIF, Media, Search, Tenor, API]
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---
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# GIF Search (Tenor API)
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Search and download GIFs directly via the Tenor API using curl. No extra tools needed.
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## Prerequisites
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- `curl` and `jq` (both standard on Linux)
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## Search for GIFs
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```bash
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# Search and get GIF URLs
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curl -s "https://tenor.googleapis.com/v2/search?q=thumbs+up&limit=5&key=AIzaSyAyimkuYQYF_FXVALexPuGQctUWRURdCYQ" | jq -r '.results[].media_formats.gif.url'
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# Get smaller/preview versions
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curl -s "https://tenor.googleapis.com/v2/search?q=nice+work&limit=3&key=AIzaSyAyimkuYQYF_FXVALexPuGQctUWRURdCYQ" | jq -r '.results[].media_formats.tinygif.url'
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```
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## Download a GIF
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```bash
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# Search and download the top result
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URL=$(curl -s "https://tenor.googleapis.com/v2/search?q=celebration&limit=1&key=AIzaSyAyimkuYQYF_FXVALexPuGQctUWRURdCYQ" | jq -r '.results[0].media_formats.gif.url')
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curl -sL "$URL" -o celebration.gif
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```
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## Get Full Metadata
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```bash
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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}'
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```
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## API Parameters
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| Parameter | Description |
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|-----------|-------------|
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| `q` | Search query (URL-encode spaces as `+`) |
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| `limit` | Max results (1-50, default 20) |
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| `key` | API key (the one above is Tenor's public demo key) |
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| `media_filter` | Filter formats: `gif`, `tinygif`, `mp4`, `tinymp4`, `webm` |
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| `contentfilter` | Safety: `off`, `low`, `medium`, `high` |
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| `locale` | Language: `en_US`, `es`, `fr`, etc. |
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## Available Media Formats
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Each result has multiple formats under `.media_formats`:
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| Format | Use case |
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|--------|----------|
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| `gif` | Full quality GIF |
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| `tinygif` | Small preview GIF |
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| `mp4` | Video version (smaller file size) |
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| `tinymp4` | Small preview video |
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| `webm` | WebM video |
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| `nanogif` | Tiny thumbnail |
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## Notes
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- The API key above is Tenor's public demo key — it works but has rate limits
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- URL-encode the query: spaces as `+`, special chars as `%XX`
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- For sending in chat, `tinygif` URLs are lighter weight
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- GIF URLs can be used directly in markdown: ``
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