HughYau

HughYau / qiushi-skill

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"求是 Skill"是一个 AI Agent Skills 合集，从教员思想中提炼出一条总原则和九大方法论工具，系统性地武装 AI 的大脑。

ai-agents methodology skills workflow
44
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100% credibility
Found Mar 26, 2026 at 44 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

A set of prompt-based skills for AI agents that apply structured methodologies from historical texts to improve problem analysis and decision-making.

How It Works

1
🔍 Discover Qiushi Skill

You find a helpful toolkit that teaches AI assistants smarter ways to think through tough problems, inspired by proven strategies.

2
📥 Bring the toolkit home

You copy simple instructions or guides into your AI helper's setup so it can learn these new thinking tricks.

3
🧠 Awaken deeper thinking

Your AI now automatically applies wise methods like checking facts first and focusing on key issues for every task.

4
🎯 Call on a thinking tool

When stuck on a challenge, you simply tell your AI to use a specific strategy, like spotting the main problem or gathering real info.

5
💡 Get clear, smart plans

Your AI breaks things down step by step, verifies ideas with facts, and builds solid action plans that actually work.

🏆 Conquer complex tasks

With these thinking powers, your AI turns confusing problems into easy wins, making your projects smoother and more successful.

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AI-Generated Review

What is qiushi-skill?

qiushi-skill is a Shell-based collection of AI agent skills that equips tools like Claude Code and Cursor with a structured thinking framework: one core principle of seeking truth from facts, plus nine methodologies for problem analysis and execution. It solves the issue of AI agents jumping to shallow answers by enforcing steps like contradiction mapping, investigation-first research, and self-criticism reviews. Users get auto-injected prompts on session start, slash commands like /contradiction-analysis, and subagent prompts for tasks such as feedback synthesis.

Why is it gaining traction?

Unlike generic skill agent ai repos on github skill anthropic or skill agent claude setups, qiushi-skill stands out with battle-tested methods backed by original references, turning vague AI reasoning into repeatable workflows for prioritization and iteration. Developers notice tighter focus on main issues via concentrate-forces commands and phased planning from protracted-strategy, reducing "hallucination" in complex agentic ai flows. The plug-and-play install for skill agent copilot or skill agent gemini hooks keeps it lightweight yet potent.

Who should use this?

AI power users in Cursor or Claude Code tackling messy projects, like backend devs debugging distributed systems or product managers balancing skill agent github roadmaps. It's for those frustrated with skill agent md sprawl in multi-goal tasks, needing mass-line feedback loops or starfire-prairie-fire for bootstrapping prototypes. Skip if you're just doing simple queries.

Verdict

Worth a quick install for skill agent claude enthusiasts experimenting with agent workflows, but its 44 stars and 1.0% credibility score signal early-stage maturity—docs are solid, but expect tweaks as adoption grows. Try the slash commands on a side project before committing.

(178 words)

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