Yiyun_dan1

This is not just a single tool, but more like a set of agent skill frameworks and development methodologies.
Many people are now talking about "AI efficiency," but the real challenge is how to consolidate capabilities into reusable processes.
The value of this repository lies in that, making it suitable for those who want to engineer AI workflows.

This is a very typical warehouse of "productizing AI capabilities," with the core being a skill set.
It's becoming increasingly clear that in the future, the competition won't just be about the models themselves, but about who can organize skills, memory, processes, and toolchains.
Although this project is lightweight, the direction is very right.
Full link:

To truly make good use of Claude Code, best practice content is always the most valuable. This repository isn't about flashy tricks but about helping you avoid pitfalls, reduce trial and error, and understand which approaches are more efficient. It's very practical for those who frequently integrate AI into their development process.

If you're no longer satisfied with a single agent, you might want to check out this project.
It focuses on team-based multi-agent orchestration, similar to upgrading Claude Code from "one person working" to "a small team working together."
It's very insightful for breaking down complex tasks and collaborative development among multiple people.

Recently, I’ve been looking into Claude Code-related materials. I think this repository is very suitable to share with new team members. It’s not just about stacking concepts, but using visuals and case studies to clearly explain how to go from beginner to advanced agent techniques. Many templates can be used directly.
For a systematic understanding of Claude Code, you can start with this⬇️

RuView: No camera needed, real-time human pose estimation, vital signs monitoring, and presence detection can be achieved using only regular WiFi signals

Manage the desktop version of the API public service site: sign-in/welfare site/LDC recharge/one-click application of Claude code, Codex, Gemini CLI

Disdain Hierarchy Among AI Models
Claude Users
"Rigorous reasoning, no nonsense, high-quality code, principled"
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GPT Users
"Best ecosystem, many plugins, OpenAI is the industry standard"
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Gemini Users
"Integrated with Google ecosystem, search + AI in one"
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Local Model Users (Llama / Mistral / Qwen)
"Data stays local, fully controllable, true freedom"
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People who train their own models
(Silence, dismissive without explanation)
The truth is, the disdain hierarchy is mostly self-comforting—
- Claude is indeed strong in long-form reasoning, but GPT’s multimo

People only realize in the end that these 6 sentences are the only ones that can save you:
Stop focusing so much on others, and work on improving yourself.
Staring at others will only make you anxious; focusing on yourself and making changes will make life better.
For adults, the most valuable thing is not face, but emotional stability.
Only those who can control their emotions have the right to control their lives.
Don’t always think about taking shortcuts.
The fairest thing in this world is: the laziness you indulge in will eventually catch up with you.
What truly makes you stronger is often

Just for fun, I created -decrypt, which can decrypt local databases of version 4.0 (Windows).
Principle: It uses SQLCipher 4 to encrypt local chat records, but the decryption key is cached in process memory. This tool scans the memory to extract the key, then decrypts the entire database. It also supports:
· Real-time message monitoring (Web UI, approximately 100ms delay)
· Integrating with Claude MCP to allow AI to directly access your records
· Searching historical messages, contacts, and more
For those who want to back up or analyze their chat history, this means the locally store