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Curated platform showcasing 1500+ Claude AI Skills. Discover, learn, and enhance your productivity.

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⏱ Pasting from scattered docs→Frontend — one installTrial and error, again→#data-analysis ready to use

Pdf

Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.

🎨 Frontend✦Free transformation✦7 languages

WHAT YOU BECOME

Use Cases

Perfect for these scenarios

✦ 01🏭

Industrial Quality Inspection

Automate defect detection in manufacturing with high-precision CV models

✦ 02🚗

Autonomous Vehicle Perception

Build real-time object detection for autonomous navigation systems

✦ 03🏥

Medical Image Analysis

Segment and analyze medical scans with SAM and vision transformers

✦ 04🛒

Retail Inventory Management

Implement automated stock counting using YOLO and custom object detectors

MEASURED GAIN

Why Choose This Skill

Proven benefits and measurable impact

5x

Faster Model Deployment

Production-ready CV models in weeks, not months with optimization expertise

90%

Reduced Annotation Costs

Cut labeling expenses with self-supervised learning and few-shot techniques

2x

Higher Inference Speed

Optimize real-time processing with TensorRT and quantization methods

WHAT YOU GET

What’s Inside

Files, tags and the three-step install

Download or copy the skill file from the source repository.
Put the skill file into Claude's skills directory — ~/.claude/skills/
Restart Claude or run the reload command, and the skill loads automatically.
$ cp mrgoonie__claudekit-skills/.claude/skills/document-skills/pdf/Skill.md ~/.claude/skills/

Tip: Read the documentation and the code before first use, so you know what it does and which permissions it needs.

Related tags

#data-analysis#javascript#python

Technical information

Author
mrgoonie
Category
Frontend
File size
6.90 KB
Source repository
mrgoonie__claudekit-skills
License
MIT
Metadata
Includes YAML metadata
View GitHub source

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Generate and maintain AGENTS.md files following the public agents.md convention. Use when creating documentation for AI agent workflows, onboarding guides, or when standardizing agent interaction patterns across projects.

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Alphafold Database

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Access AlphaFold's 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.

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Anndata

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This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.

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Anthropic Expert

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Expert on Anthropic Claude API, models, prompt engineering, function calling, vision, and best practices. Triggers on anthropic, claude, api, prompt, function calling, vision, messages api, embeddings

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