ScrapeGraph AI

Reusable Agent Skills for Codex, Claude Code, and compatible clients, covering Django, Rust, Cookiecutter, SEO, traction, product marketing, and nonfiction publishing workflows.

200 skills

280+ Agent Skills that turn Codex, Claude Code, Cursor and other agents into a research co-scientist across the academic research lifecycle: literature and PRISMA reviews, hypotheses, experimental design, data analysis in biology, chemistry, medicine, physics and ML, paper writing, citation verification and peer review.

200 skills

Role-based team delivery framework — Tech Lead-orchestrated 8-role system with 195+ skills, 27 specialist agents, 80+ commands, hooks, and ECC harness for Claude Code, Codex, and OpenCode.

175 skills

Open-source AI marketing plugin for agencies — 154 skills, 25 specialist agents, 12-Part Strategy Flow, AEO/GEO, GSC AI Performance Report, Google Ads API v24, EU AI Act Article 50 / C2PA compliance.

164 skills · hooks

Add real-time chat, voice and video calling to React, Angular, React Native, iOS, Android and Flutter apps, with the CometChat Docs MCP for current docs.

98 skills · 1 MCP server

How to make any AI video: find the skill, the options to show and the steps (no key needed), with the keyless varg how to MCP and the varg MCP for video, image, voice and music generation.

78 skills · 2 MCP servers

AI-powered codebase understanding — analyze, visualize, and explain any project

9 skills · 10 agents · hooks

Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications

5 skills · hooks

Rewrite AI-sounding text so it reads like the writer without changing what it says.

1 skill

AI memory system — mine projects and conversations into a searchable palace. 47 MCP tools, auto-save hooks, guided setup.

3 skills · 6 commands · 1 MCP server · hooks

Perform AI code review on Git diffs — supports workspace changes, branch ranges, and single commits with concurrent per-file analysis, codebase search, and deep context-aware review.

2 commands

Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.

10 skills · 2 commands · 3 agents