Python

videodb helps you ingest video and audio from local files, URLs, RTSP/RTMP live feeds, or desktop capture; search moments with timestamps and playable evidence; and act with clips, overlays, transcription, alerts, and timeline editing. It is a practical videodb guide for VideoDB for Video Editing and live-stream analysis.

regex-vs-llm-structured-text skill for choosing regex or LLM in structured text extraction. Start with deterministic parsing, add LLM validation for low-confidence edge cases, and use a cheaper, more reliable pipeline for documents, forms, invoices, and data analysis.

pytorch-patterns helps you write, review, and debug PyTorch code with device-agnostic patterns, reproducible experiments, and explicit tensor handling. Use the pytorch-patterns skill for cleaner training loops, model refactors, and practical PyTorch guidance.

python-testing helps you design, write, and review Python tests with a pytest-first workflow. Use it for TDD, fixtures, mocking, parametrization, coverage checks, and maintaining a reliable test suite for Skill Testing and real projects.

The python-patterns skill helps you write, review, and refactor Python code with idiomatic patterns, readable structure, type hints, and practical exception handling. Use it for new code, package/module design, or cleaner refactors that preserve behavior and follow Python conventions.

plankton-code-quality is a write-time code quality system for Claude Code. It formats, lints, and can trigger Claude-powered fixes after each file edit, helping catch issues during editing instead of after commit or CI. Ideal for the plankton-code-quality skill, guide, and Code Editing workflows.

manim-video helps you plan and produce clean Manim-based explainer videos for graphs, workflows, system diagrams, product walkthroughs, and launch visuals. Use the manim-video skill when you want a precise animated explanation with a scene-first workflow, not a talking-head edit. It includes practical manim-video guide steps for install, scene planning, and rendering.

evm-token-decimals helps prevent silent decimal mismatch bugs across EVM chains. Use it for runtime decimals lookup, chain-aware caching, bridged-token precision drift, and safe normalization for backend development, bots, dashboards, and DeFi tools.

django-verification is a release-readiness skill for Django backend projects. It guides environment checks, linting, formatting, type checks, migrations, tests with coverage, security scans, and deployment readiness so you can catch issues before PRs or releases.

django-tdd is a practical skill guide for test-driven development in Django projects, using pytest-django, factory_boy, mocking, coverage, and Django REST Framework APIs. It helps with django-tdd usage, setup, and behavior-first testing for models, views, serializers, and automation workflows.

django-patterns is a practical guide for Django architecture patterns, including DRF APIs, ORM usage, caching, signals, middleware, and split settings. It helps backend teams standardize project structure and build maintainable apps with fewer guesses.

data-scraper-agent helps build a repeatable public-data pipeline for web scraping, enrichment, and storage. It is designed for monitoring jobs, prices, news, repos, sports, and listings on a schedule using GitHub Actions, with outputs to Notion, Sheets, or Supabase. Best for ongoing tracking, not one-off extractions.

continuous-learning-v2 turns Claude Code sessions into project-scoped learning with hooks, observer agents, confidence scoring, and promotion of repeated patterns into skills, commands, or agents.

content-hash-cache-pattern skill for caching expensive file processing with SHA-256 content hashes. Path-independent, auto-invalidating, and ideal for PDF parsing, OCR, text extraction, and other performance optimization workflows.

claude-api helps with Anthropic Claude API patterns for Python and TypeScript, including install, messages, streaming, tool use, vision, batches, prompt caching, model selection, and Claude Agent SDK workflows.

The xlsx skill helps agents read, edit, repair, create, and convert .xlsx, .xlsm, .csv, and .tsv files when the required deliverable is a spreadsheet. It is strongest for template-preserving updates, formula-safe workbook edits, messy tabular cleanup, and practical spreadsheet workflows backed by repo scripts for packing, validation, and recalculation.

webapp-testing is a skill for testing local web apps with Python Playwright. It helps agents start servers with scripts/with_server.py, inspect rendered UI, discover selectors, capture screenshots and console logs, and validate frontend behavior with a reconnaissance-first workflow.

slack-gif-creator is a code-first skill for creating Slack-friendly animated GIFs with Python helpers for frame building, optimization, and validation. Use it to install dependencies, build loops with GIFBuilder, and export emoji or message GIFs that fit Slack size, timing, and color constraints.

Use the pptx skill to read, create, edit, split, merge, and inspect PowerPoint .pptx files. It guides you through text extraction with markitdown, thumbnail review, unpack/edit/clean/pack workflows, and PptxGenJS for new deck creation.

The pdf skill guides PDF Processing tasks like text extraction, merge and split operations, rendering pages to images, and PDF form workflows. It is especially useful for checking fillable fields, extracting form metadata, and validating non-fillable form layouts with scripts.

mcp-builder is a practical guide for planning, building, and evaluating MCP servers for external APIs and services. It helps developers choose tool scope, naming, transport, Python or Node implementation patterns, and evaluation workflows so agents can use the server reliably.

claude-api is a practical skill for installing and using the Claude API and Anthropic SDKs. It helps developers choose the right SDK or raw HTTP path, detect language-specific docs, and implement streaming, tool use, files, batches, and error handling with less guesswork.

python-expert is a GitHub skill for Python code generation, review, debugging, and refactoring. It guides agents with a clear priority order—correctness, type safety, performance, then style—and points users to SKILL.md, AGENTS.md, and rule files for practical adoption.

data-analyst is a minimal GitHub skill that guides agents toward SQL, pandas, and basic statistical analysis for data exploration. Best for users who want code-backed queries, transformations, and interpretations from a single SKILL.md prompt layer.