This repository is a collection of specialized 'Skills' for the Claude AI assistant, each designed to enhance Claude's capabilities for specific professional tasks. The McKinsey Consultant Skill implements McKinsey's Problem Solving methodology to guide users through structured business analysis and generate professional PowerPoint presentations. The Mimeng Writing Skill helps create viral Chinese-style articles by encoding specific writing techniques. The Find-session Skill assists in locating and resuming specific Claude Code conversations through grep-based search of conversation history. The US Government Shutdown Tracker Skill fetches and analyzes economic data from the FRED API to assess liquidity impacts of government shutdowns, generating visualizations and status assessments. The repository demonstrates thoughtful architecture, particularly in the McKinsey Consultant Skill's progressive disclosure approach to manage Claude's context limitations, and contains several reusable components for PPT styling, economic data analysis, and visualization.
MoneyPrinterTurbo is a production short-video generation platform. Given a topic or script, it orchestrates LLM-based script/keyword generation, multi-provider TTS (Edge, Azure, Gemini, ElevenLabs, etc.), video material sourcing (Pexels, Pixabay, Coverr, several AI video generators), subtitle generation (Whisper or TTS timestamps), background music, and final video composition via moviepy/FFmpeg. It exposes three consistent interfaces: a FastAPI REST API, a Streamlit WebUI, and a CLI. All three share the same underlying task pipeline in `app/services/task.py`, which manages state, progress, and cross-posting to YouTube/TikTok/Instagram. The architecture is a service-oriented monolith: the core pipeline is a linear sequence of stages (script → terms → audio → subtitles → materials → video → optional BGM/cross-post). External integrations are abstracted behind provider-specific modules (e.g., `voice.py`, `material.py`, `bgm.py`). A Redis-backed or in-memory state manager tracks task progress. The configuration is runtime-editable and stored in a TOML file. The WebUI is a large Streamlit single-page application with dozens of provider-specific controls, billing confirmations, and i18n support for 12+ languages. The codebase demonstrates strong engineering practices: extensive test coverage (200+ test files), structured error handling with per-provider error classes, atomic file writes, path traversal protection, and security-conscious API key handling. However, it also shows signs of rapid growth: the WebUI is a monolithic 1300+ line script, provider integration logic is occasionally duplicated, and the dependency list is large (many third-party APIs). The repository is actively maintained with recent commits and good issue triage. It is not a research project; there are no datasets, model training, or analytical queries.
Auto-Redbook-Skills is a CLI tool for creating and publishing Xiaohongshu (Little Red Book) social media notes. It takes Markdown content with YAML front matter, renders it into a cover image and multiple card images using Playwright (headless browser), and optionally publishes the note to Xiaohongshu via a built-in, reverse-engineered HTTP signature client. The tool supports 8 visual themes (e.g., sketch, neo-brutalism, botanical) and 4 pagination modes (manual separator, auto-fit, auto-split, dynamic height). The publishing pipeline is entirely self-contained within the repository, using a vendor module that implements the Xiaohongshu creator platform's authentication, signing, and upload protocols without external API services. The project is primarily a content creation automation tool, not a data research project, though it does involve some data transformation (Markdown to images).
The Video Autopilot Kit is a Python-based framework for automating the creation of vertical shorts (YouTube Shorts, Reels, TikTok) and long-form videos. It provides three isomorphic production lines (teaching long-form, vertical shorts, interview show) each built as a knowledge layer → mechanical gate → one-command driver. The system centers around an Editkin v4 durable workflow contract that serves as the single source of truth for planning, evidence binding, audit, atomic apply, and render. Key features include an image-first material system requiring verified source media, a unified filter library of 38 reusable presets, and privacy-first design that avoids storing personal data in the repository. The architecture is modular, with specialized modules for asset management, color grading, audio processing, motion assets, art direction, scene auditing, and quality assurance. Entry points include CLI-driven pipelines for shorts (`src/shorts_autopilot.py`), interviews (`src/interview_autopilot.py`), long-form (`src/longform_maker/`), publishing (`src/publish_hub_cli.py`), and competitor teardown (`src/teardown.py`). The system relies on external tools like `ffmpeg`/`ffprobe` for video processing and optional OCR libraries for competitor analysis, with cross-platform compatibility handled via `src/platform_compat.py`. Despite its strengths, the kit faces maintenance challenges due to hardcoded assumptions about directory structures and platform specifications, as well as dependency drift risks from external tools like ffmpeg and OCR libraries. However, the inclusion of a release manager and self-updater helps mitigate some of these risks by providing deterministic builds and update mechanisms.
This repository is a collection of AI agent skill definitions for the Higgsfield platform, enabling automated content creation across multiple domains including brand identity, product photography, website generation, video explainers, YouTube thumbnails, and 3D game assets. Each skill is self-contained in a folder with a SKILL.md entry point and references directory, designed for consumption by AI agents (Claude, Cursor, Codex). The repo also includes deterministic scripts for GLB processing, texture pipeline, procedural rigging, and brandbook generation, as well as CI validation workflows. While primarily a skill library, it contains reusable engineering patterns such as a brandkit state machine, stdlib-only GLB patching, and a texture seam-fix pipeline. The codebase is well-structured with version sync enforcement and anti-slop design rules, but relies on external tools (Blender, ImageMagick, LibreOffice) and live Higgsfield API endpoints.