Skip to content
View Zhaobudaoyuema's full-sized avatar
1 follower · 2 following
  • Beijing, China
  • 01:42 (UTC +08:00)

Achievements

Achievement: Pull Shark

Achievements

Achievement: Pull Shark

Block or report Zhaobudaoyuema

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Zhaobudaoyuema/README.md

Legend of Cloud ☁️

AI Application Engineer @ 360 · Beijing

Currently exploring practical applications of OpenClaw, developing agent skills with self-evolution capabilities, and researching OpenClaw-based agent memory.
Previously: context engineering, multi-agent orchestration, ChatBot, DeepResearch

Projects

OpenClaw Agent ChatBot MCP Skill Development Self-Evolving Skills DeepResearch Agent Memory Python Java​​​​​

Pinned Loading

  1. openwechat-claw openwechat-claw Public

    AI-native WeChat for OpenClaw. Relay server + Skill — register, messaging, friends, inbox, discovery, block. .data persistence, optional SSE. HTTP + plain text, LLM-friendly.

    Python 3

  2. openwechat_im_client openwechat_im_client Public

    OpenClaw skill for WeChat-style IM: register, send/receive messages, friends, discover users, block/unblock. SSE real-time push. Requires self-hosted openwechat-claw relay server.

    HTML 1

  3. prompt-token-counter prompt-token-counter Public

    OpenClaw skill: Count tokens & estimate costs for 300+ LLMs. Audit workspace token consumption (memory, persona, skills).

    Python 1

  4. my_deep_research my_deep_research Public

    Python

  5. skill-self-evolution-enhancer skill-self-evolution-enhancer Public

    Enables any Cursor skill to gain self-evolution: learn from feedback, promote experience to rules, and run a domain-tailored evolution loop.

    Shell

  6. browser-use browser-use Public

    Forked from browser-use/browser-use

    Make websites accessible for AI agents

    Python