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Wshobson Agent Skills

wshobson/agents

Wshobson Agent Skills: Assist with writing, changing, or reviewing code using documented task skills.

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What is Wshobson Agent Skills?

Prepared by LessAI Tools from public project documentation

Wshobson Agent Skills's documentation describes these tasks: assist with writing, changing, or reviewing code; follow documented debugging steps. The repository includes a task skill file for developers who want to give an AI assistant explicit working instructions. Read the project setup guide and check the runtime, authorization, and permissions before using it. This introduction is based on documentation; we have not installation-tested each discovered project. Choose individual task plugins instead of installing the entire marketplace. Model/API charges are separate, and optional external plugins have their own licenses.

Wshobson Agent Skills setup documentation

Setup requirements have not been reviewed yet. Check the project’s setup guide.

Setup and usage guide ↗

Based on public documentation; not individually installed and tested here.

Wshobson Agent Skills use cases

  • Assist with writing, changing, or reviewing code
  • Follow documented debugging steps

Official project & documentation

View source code ↗Project website ↗Setup and usage guide ↗

The project’s original description

Multi-harness agentic plugin marketplace for Claude Code, Codex, Cursor, OpenCode, GitHub Copilot, Google Antigravity, and Pi

Alternatives to Wshobson Agent Skills for similar tasks

Matches the main use case first, then shared tasks and stars. Setup methods may differ.

  • Superpowers — Give AI a development workflow for clarifying requirements, planning, coding, and checking results.
  • Matt Pocock Skills — Clarify requirements, improve code structure, test changes and prepare a clear record for the next agent.
  • ECC — Give your coding assistant repeatable steps for planning, tests, reviews and project memory.

Sources and ranking

This directory lists AI development plugins with public source code and a clear purpose. Browse by task, then open an introduction to learn what a project does, who it is for, and what you need to get started. It covers selected projects, not every AI plugin.

How do the three plugin types differ?

Tool connections (MCP) let AI assistants use external tools such as browsers, code repositories and databases. MCP is the protocol used for these connections.

Reusable skills give a compatible AI assistant instructions and guidance for a particular task.

Editor plugins run inside the software you use to write code, adding AI chat, completions or suggested edits.

How does “Most starred” work?

Projects are sorted by their total GitHub stars. Stars indicate interest; they are not downloads, active users or quality scores. A skill pack counts as one project. Daily star growth is not shown without historical records.

What does “Recently updated” mean?

It uses the most recent code push, which may not be a new release. The 7-day filter checks that project update time; ranking still uses all-time stars. Each introduction shows when its star count was collected. Failed updates keep the last saved data.

Introductions are based on public project documentation. These projects have not each been installed and tested here. Check the project documentation for setup, compatibility and service costs. Refreshing this list only reads saved data; it does not start collection.

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