Not just files. A forge. The open-source registry of production-ready skills, agents, hooks, and plugins for Claude and every major AI coding harness. No bloat. No boilerplate. Just drop-in components built and refined by the community. Works across Claude Code, Codex, Cursor, OpenCode, Gemini CLI, and beyond.
Skill Claude CodeCodex
Adaptive scientific persona agent — classifies the domain of the user's AI/ML request, assumes the relevant expert identity, then conducts end-to-end scientific work including hypothesis formation, experiment design, implementation, and evaluation.
Skill Claude CodeCodex
ML experiment optimization agent that uses tree search to explore solution approaches — implements changes, measures against a fixed metric, keeps improvements, reverts failures.
Skill Claude CodeCodex
Computer vision engineer for image classification, object detection, segmentation, and video analysis — from dataset curation through optimized production inference.
Skill Claude CodeCodex
Data pipeline engineer for batch and streaming workflows — ETL/ELT, Spark, data warehousing, orchestration, and data quality. Designs for idempotency, schema evolution, and observability from the start.
Skill Claude CodeCodex
Statistical analysis, EDA, hypothesis testing, and reproducible insight generation from datasets. Prioritizes scientific rigor — effect sizes, confidence intervals, and causal reasoning over surface-level pattern matching.
Skill Claude CodeCodex
Data visualization engineer — transforms datasets into accurate, accessible, and interactive charts and dashboards. Prioritizes perceptual accuracy and accessibility over visual complexity.
Skill Claude CodeCodex
Web-aware research agent that classifies the domain, then executes targeted multi-source searches across arXiv, Papers With Code, GitHub, and domain-specific blogs to produce a structured synthesis with citations.
Skill Claude CodeCodex
LLM system architect — model selection with empirical benchmarking, fine-tuning strategy, inference optimization, evaluation framework design, and production system architecture for LLM-powered applications.
Skill Claude CodeCodex
End-to-end ML pipeline engineer — data ingestion through model serving. Covers feature engineering, training, evaluation, and deployment with a hard focus on reproducibility and train-serving consistency.
Skill Claude CodeCodex
ML infrastructure engineer for model lifecycle management — model registry, serving infrastructure, CI/CD for models, A/B testing, and production monitoring. Bridges experimentation and reliable production systems.
Skill Claude CodeCodex
NLP engineer for text processing, classification, NER, embeddings, and information extraction — using the right tool for each task from regex to fine-tuned transformers.
Skill Claude CodeCodex
Prompt engineer that takes a rough idea or draft prompt and produces an optimized version by systematically applying prompt engineering techniques — chain-of-thought, few-shot, role framing, constraint injection, output structuring, and more.
Skill Claude CodeCodex
Recommendation systems engineer — collaborative filtering, content-based methods, hybrid architectures, two-stage retrieval/ranking, cold-start handling, and A/B testing for personalization systems.
Skill Claude CodeCodex
Vector search and semantic retrieval engineer — embedding pipelines, chunking strategy, vector store selection, index configuration, hybrid search, and retrieval evaluation.
Skill Claude CodeCodex
Translates an approved spec into a technical architecture — component breakdown, data flow, API surface, technology decisions with tradeoff analysis, and identified risks. Outputs a reviewable architecture document before any implementation starts.
Skill Claude CodeCodex
Reviews diffs and pull requests against the spec and task acceptance criteria. Produces structured feedback — must-fix, should-fix, nit — with specific line references. Does not rewrite code.
Skill Claude CodeCodex
General implementation agent that executes tasks from a task plan incrementally — one slice at a time, building and testing between each, committing after each verified slice. Language-agnostic; defers to language-expert for language-specific idioms.
Skill Claude CodeCodex
Infrastructure engineer for containerization, Kubernetes deployment, and CI/CD pipelines — Docker, docker-compose, K8s manifests, Helm charts, GitHub Actions, and GitLab CI.
Skill Claude CodeCodex
Generates diagram-as-code definitions in Mermaid and C4/PlantUML from an architecture document. Output is markdown-embeddable code blocks — no rendering, no external tools required.
Skill Claude CodeCodex
Interactive ideation agent that sharpens a raw feature idea into a concrete one-pager — problem statement, recommended direction, MVP scope, and explicit tradeoffs — through structured divergent and convergent thinking.
Skill Claude CodeCodex
Adaptive language expert that classifies the language and framework from the task, assumes that expert persona, and implements using language-specific idioms, tooling, testing conventions, and best practices. Covers Python, Rails, Java, Kotlin, React, and TypeScript.
Skill Claude CodeCodex
Builds production-quality MCP (Model Context Protocol) servers and tools from scratch using the TypeScript and Python SDKs — tool schemas, resource definitions, prompt templates, and transport configuration.
Skill Claude CodeCodex
Turns a feature one-pager or raw requirements into a structured, technology-agnostic specification — the shared contract between product and engineering before any code is written.
Skill Claude CodeCodex
Breaks an approved spec and architecture into a dependency-ordered, bite-sized task list with acceptance criteria, verification steps, and explicit checkpoints. Human reviews before any implementation starts.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: