Finishing a Development Branch
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
基于本能(Instinct)的学习系统,通过钩子(hooks)观察会话,创建带有置信度评分的原子本能,并将其演化为技能(Skills)、命令(Commands)或智能体(Agents)。v2.1 版本增加了项目作用域(project-scoped)的本能,以防止跨项目污染。
$ npx skills add xu-xiang/everything-claude-code-zh --skill continuous-learning-v2 -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xu-xiang/everything-claude-code-zh continuous-learning-v2 --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/xu-xiang/everything-claude-code-zh.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/continuous-learning-v2 .claude/skills/continuous-learning-v2 && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "continuous-learning-v2" agent skill from https://github.com/xu-xiang/everything-claude-code-zh/tree/main/skills/continuous-learning-v2 into .claude/skills/continuous-learning-v2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continuous-learning-v2", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/xu-xiang/everything-claude-code-zh/tree/main/skills/continuous-learning-v2Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add xu-xiang/everything-claude-code-zh --skill continuous-learning-v2 -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xu-xiang/everything-claude-code-zh continuous-learning-v2 --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xu-xiang/everything-claude-code-zh.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/continuous-learning-v2 .agents/skills/continuous-learning-v2 && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "continuous-learning-v2" agent skill from https://github.com/xu-xiang/everything-claude-code-zh/tree/main/skills/continuous-learning-v2 into .agents/skills/continuous-learning-v2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continuous-learning-v2", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add xu-xiang/everything-claude-code-zh --skill continuous-learning-v2 -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xu-xiang/everything-claude-code-zh continuous-learning-v2 --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xu-xiang/everything-claude-code-zh.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/continuous-learning-v2 .cursor/skills/continuous-learning-v2 && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "continuous-learning-v2" agent skill from https://github.com/xu-xiang/everything-claude-code-zh/tree/main/skills/continuous-learning-v2 into .cursor/skills/continuous-learning-v2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continuous-learning-v2", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/xu-xiang/everything-claude-code-zh.git --path skills/continuous-learning-v2--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add xu-xiang/everything-claude-code-zh --skill continuous-learning-v2 -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xu-xiang/everything-claude-code-zh continuous-learning-v2 --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xu-xiang/everything-claude-code-zh.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/continuous-learning-v2 .gemini/skills/continuous-learning-v2 && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "continuous-learning-v2" agent skill from https://github.com/xu-xiang/everything-claude-code-zh/tree/main/skills/continuous-learning-v2 into .gemini/skills/continuous-learning-v2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continuous-learning-v2", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install xu-xiang/everything-claude-code-zh continuous-learning-v2Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add xu-xiang/everything-claude-code-zh --skill continuous-learning-v2 -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/xu-xiang/everything-claude-code-zh.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/continuous-learning-v2 .github/skills/continuous-learning-v2 && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "continuous-learning-v2" agent skill from https://github.com/xu-xiang/everything-claude-code-zh/tree/main/skills/continuous-learning-v2 into .github/skills/continuous-learning-v2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continuous-learning-v2", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add xu-xiang/everything-claude-code-zh --skill continuous-learning-v2 -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install xu-xiang/everything-claude-code-zh continuous-learning-v2 --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xu-xiang/everything-claude-code-zh.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/continuous-learning-v2 .opencode/skills/continuous-learning-v2 && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "continuous-learning-v2" agent skill from https://github.com/xu-xiang/everything-claude-code-zh/tree/main/skills/continuous-learning-v2 into .opencode/skills/continuous-learning-v2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continuous-learning-v2", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
continuous-learning-v2基于本能(Instinct)的学习系统,通过钩子(hooks)观察会话,创建带有置信度评分的原子本能,并将其演化为技能(Skills)、命令(Commands)或智能体(Agents)。v2.1 版本增加了项目作用域(project-scoped)的本能,以防止跨项目污染。
Continuous Learning V2 is an agent skill from xu-xiang/everything-claude-code-zh. 基于本能(Instinct)的学习系统,通过钩子(hooks)观察会话,创建带有置信度评分的原子本能,并将其演化为技能(Skills)、命令(Commands)或智能体(Agents)。v2.1 版本增加了项目作用域(project-scoped)的本能,以防止跨项目污染。
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts (for example `agents/observer.md`, `agents/start-observer.sh` and `config.json`).
It sits in Development. It works with Git. The repository describes itself as: everything-claude-code 中文翻译项目:完整的 Claude Code 配置集合(agents, skills, hooks, commands, rules, MCPs)。源自 Anthropic 黑客松获胜者的实战配置,助力中文工程师高效理解与使用 Claude Code。 The licence is MIT.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit dfbf946. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 3 files in scripts/ (Shell and Python), which the agent can run.
Shell commands in SKILL.md call:
python3gitFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
skill-creator.appx.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Continuous Learning V2 loads about 2.1k tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 378 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from xu-xiang/everything-claude-code-zh at commit dfbf946, republished under its MIT licence (© xu-xiang). 378 words, ~2,146 tokens.
.claude/skills/continuous-learning-v2/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.一个先进的学习系统,通过原子级“本能(Instincts)”——带有置信度评分的小型学习行为,将你的 Claude Code 会话转化为可复用的知识。
v2.1 增加了 项目作用域本能(project-scoped instincts) —— React 模式保留在你的 React 项目中,Python 约定保留在你的 Python 项目中,而通用模式(如“始终验证输入”)则在全局共享。
| 特性 | v2.0 | v2.1 |
|---|---|---|
| 存储 | 全局 (~/.claude/homunculus/) | 项目作用域 (projects/<hash>/) |
| 作用域 | 所有本能应用于所有地方 | 项目作用域 + 全局 |
| 检测 | 无 | git remote URL / 仓库路径 |
| 提升 | 不适用 | 当在 2 个以上项目中看到时,由项目 → 全局 |
| 命令 | 4 个 (status/evolve/export/import) | 6 个 (+promote/projects) |
| 跨项目 | 存在污染风险 | 默认隔离 |
| 特性 | v1 | v2 |
|---|---|---|
| 观察 | Stop 钩子(会话结束) | PreToolUse/PostToolUse (100% 可靠) |
| 分析 | 主上下文 | 后台智能体 (Haiku) |
| 粒度 | 完整技能 | 原子级“本能” |
| 置信度 | 无 | 0.3-0.9 加权 |
| 演化 | 直接到技能 | 本能 -> 聚类 -> 技能/命令/智能体 |
| 分享 | 无 | 导出/导入本能 |
本能是一个小型学习行为:
---
id: prefer-functional-style
trigger: "when writing new functions"
confidence: 0.7
domain: "code-style"
source: "session-observation"
scope: project
project_id: "a1b2c3d4e5f6"
project_name: "my-react-app"
---
# 偏好函数式风格
## 动作(Action)
在适当时使用函数式模式而非类(classes)。
## 证据(Evidence)
- 观察到 5 次偏好函数式模式的实例
- 用户在 2025-01-15 将基于类的方案纠正为函数式属性:
project(默认)或 global会话活动 (在 git 仓库中)
|
| 钩子(Hooks)捕获提示词 + 工具使用 (100% 可靠)
| + 检测项目上下文 (git remote / 仓库路径)
v
+---------------------------------------------+
| projects/<project-hash>/observations.jsonl |
| (提示词, 工具调用, 结果, 项目) |
+---------------------------------------------+
|
| 观察者智能体读取 (后台, Haiku)
v
+---------------------------------------------+
| 模式检测 |
| * 用户纠正 -> 本能 |
| * 错误解决 -> 本能 |
| * 重复工作流 -> 本能 |
| * 作用域决策:项目还是全局? |
+---------------------------------------------+
|
| 创建/更新
v
+---------------------------------------------+
| projects/<project-hash>/instincts/personal/ |
| * prefer-functional.yaml (0.7) [project] |
| * use-react-hooks.yaml (0.9) [project] |
+---------------------------------------------+
| instincts/personal/ (全局 GLOBAL) |
| * always-validate-input.yaml (0.85) [global]|
| * grep-before-edit.yaml (0.6) [global] |
+---------------------------------------------+
|
| /evolve 聚类 + /promote 提升
v
+---------------------------------------------+
| projects/<hash>/evolved/ (项目作用域) |
| evolved/ (全局) |
| * commands/new-feature.md |
| * skills/testing-workflow.md |
| * agents/refactor-specialist.md |
+---------------------------------------------+系统会自动检测你当前的项目:
CLAUDE_PROJECT_DIR 环境变量 (最高优先级)git remote get-url origin —— 通过哈希创建可移植的项目 ID (不同机器上的同一仓库获得相同的 ID)git rev-parse --show-toplevel —— 使用仓库路径作为回退方案 (机器特定)每个项目获得一个 12 位的哈希 ID (例如 a1b2c3d4e5f6)。位于 ~/.claude/homunculus/projects.json 的注册文件将 ID 映射到人类可读的名称。
添加到你的 ~/.claude/settings.json。
如果作为插件安装 (推荐):
{
"hooks": {
"PreToolUse": [{
"matcher": "*",
"hooks": [{
"type": "command",
"command": "${CLAUDE_PLUGIN_ROOT}/skills/continuous-learning-v2/hooks/observe.sh"
}]
}],
"PostToolUse": [{
"matcher": "*",
"hooks": [{
"type": "command",
"command": "${CLAUDE_PLUGIN_ROOT}/skills/continuous-learning-v2/hooks/observe.sh"
}]
}]
}
}如果手动安装 到 ~/.claude/skills:
{
"hooks": {
"PreToolUse": [{
"matcher": "*",
"hooks": [{
"type": "command",
"command": "~/.claude/skills/continuous-learning-v2/hooks/observe.sh"
}]
}],
"PostToolUse": [{
"matcher": "*",
"hooks": [{
"type": "command",
"command": "~/.claude/skills/continuous-learning-v2/hooks/observe.sh"
}]
}]
}
}系统在首次使用时会自动创建目录,但你也可以手动创建:
# 全局目录
mkdir -p ~/.claude/homunculus/{instincts/{personal,inherited},evolved/{agents,skills,commands},projects}
# 项目目录会在钩子首次在 git 仓库中运行时自动创建/instinct-status # 显示已学习的本能 (项目 + 全局)
/evolve # 将相关的本能聚类为技能/命令
/instinct-export # 将本能导出到文件
/instinct-import # 从他人处导入本能
/promote # 将项目本能提升到全局作用域
/projects # 列出所有已知的项目及其本能数量| 命令 | 描述 |
|---|---|
/instinct-status | 显示所有本能 (项目作用域 + 全局) 及其置信度 |
/evolve | 将相关的本能聚类为技能/命令,并建议提升 |
/instinct-export | 导出本能 (可按作用域/领域过滤) |
/instinct-import <file> | 带有作用域控制地导入本能 |
/promote [id] | 将项目本能提升到全局作用域 |
/projects | 列出所有已知的项目及其本能数量 |
编辑 config.json 以控制后台观察者:
{
"version": "2.1",
"observer": {
"enabled": false,
"run_interval_minutes": 5,
"min_observations_to_analyze": 20
}
}| 键名 | 默认值 | 描述 |
|---|---|---|
observer.enabled | false | 启用后台观察者智能体 |
observer.run_interval_minutes | 5 | 观察者分析观察结果的频率 |
observer.min_observations_to_analyze | 20 | 分析运行前最少需要的观察次数 |
其他行为 (观察捕获、本能阈值、项目作用域划分、提升标准) 通过 instinct-cli.py 和 observe.sh 中的代码默认值进行配置。
~/.claude/homunculus/
+-- identity.json # 你的个人资料,技术水平
+-- projects.json # 注册表:项目哈希 -> 名称/路径/远程地址
+-- observations.jsonl # 全局观察结果 (回退方案)
+-- instincts/
| +-- personal/ # 全局自动学习的本能
| +-- inherited/ # 全局导入的本能
+-- evolved/
| +-- agents/ # 全局生成的智能体
| +-- skills/ # 全局生成的技能
| +-- commands/ # 全局生成的命令
+-- projects/
+-- a1b2c3d4e5f6/ # 项目哈希 (来自 git remote URL)
| +-- observations.jsonl
| +-- observations.archive/
| +-- instincts/
| | +-- personal/ # 项目特定的自动学习
| | +-- inherited/ # 项目特定的导入
| +-- evolved/
| +-- skills/
| +-- commands/
| +-- agents/
+-- f6e5d4c3b2a1/ # 另一个项目
+-- ...| 模式类型 | 作用域 | 示例 |
|---|---|---|
| 语言/框架约定 | 项目 (project) | "使用 React hooks", "遵循 Django REST 模式" |
| 文件结构偏好 | 项目 (project) | "测试文件位于 __tests__/", "组件位于 src/components/" |
| 代码风格 | 项目 (project) | "使用函数式风格", "偏好数据类 (dataclasses)" |
| 错误处理策略 | 项目 (project) | "使用 Result 类型处理错误" |
| 安全实践 | 全局 (global) | "验证用户输入", "清理 SQL (Sanitize SQL)" |
| 通用最佳实践 | 全局 (global) | "先写测试", "始终处理错误" |
| 工具工作流偏好 | 全局 (global) | "修改前先 Grep", "写入前先读取" |
| Git 实践 | 全局 (global) | "约定式提交", "小型专注的提交" |
当同一个本能在多个项目中以高置信度出现时,它是提升到全局作用域的候选者。
自动提升标准:
如何提升:
# 提升特定的本能
python3 instinct-cli.py promote prefer-explicit-errors
# 自动提升所有符合条件的本能
python3 instinct-cli.py promote
# 预览而不应用更改
python3 instinct-cli.py promote --dry-run/evolve 命令也会建议提升候选者。
置信度随时间演化:
| 分数 | 含义 | 行为 |
|---|---|---|
| 0.3 | 尝试性 | 建议但不强制执行 |
| 0.5 | 中等 | 在相关时应用 |
| 0.7 | 强 | 自动批准应用 |
| 0.9 | 几乎确定 | 核心行为 |
置信度增加 当:
置信度降低 当:
"v1 依赖技能进行观察。技能是概率性的 —— 基于 Claude 的判断,它们大约有 50-80% 的触发率。"
钩子(Hooks)是 100% 触发 的,具有确定性。这意味着:
v2.1 完全兼容 v2.0 和 v1:
~/.claude/homunculus/instincts/ 中现有的全局本能仍作为全局本能工作~/.claude/skills/learned/ 技能仍可工作基于本能的学习:教会 Claude 你的模式,一次一个项目。
© xu-xiang, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 7 other files (scripts) in skills/continuous-learning-v2 of xu-xiang/everything-claude-code-zh.
Open the folder on GitHubat commit dfbf946
Continuous Learning V2 next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Continuous Learning V2 this skillxu-xiang/everything-claude-code-zh | 2k | — | ~2.1k | Automated safety check: Pass | MIT | |
| Finishing a Development Branchobra/superpowers | 297k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Code Design Rationale Investigatorcursor/plugins | 10k | 9 repos | ~2.6k | Automated safety check: Pass | None | |
| Contributor-First PR MergeHKUDS/OpenHarness | 16k | 1 repos | ~847 | Automated safety check: Pass | MIT | |
| Finishing A Development Branchfarm-fe/farm | 5.6k | 34 repos | ~1.8k | Automated safety check: Pass | MIT |
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
cursor/plugins
Digs into why code is shaped the way it is by checking git history, pull requests and connected tools in parallel, then reporting a cited read on the tradeoffs.
HKUDS/OpenHarness
Merges external GitHub pull requests while keeping the original author credited, and fixes conflicts after the merge instead of rewriting the contribution.
farm-fe/farm
A skill your agent uses when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for…
TryGhost/Ghost
Moves a package from another TryGhost repository into Ghost as an internal workspace package while keeping its Git history, with checkpoints for the steps that need an administrator.
xu-xiang/everything-claude-code-zh
Everything Claude Code 的交互式安装程序 — 引导用户选择并安装技能和规则到用户级或项目级目录,验证路径,并可选择优化已安装文件。
xu-xiang/everything-claude-code-zh
生产级 API 的 REST API 设计模式,包括资源命名、状态码、分页、过滤、错误响应、版本控制和速率限制. An agent skill from xu-xiang/everything-claude-code-zh.
xu-xiang/everything-claude-code-zh
后端架构模式、API 设计、数据库优化以及适用于 Node.js、Express 和 Next.js API 路由的服务端最佳实践。
xu-xiang/everything-claude-code-zh
后端架构模式、API 设计、数据库优化以及 Node.js、Express 和 Next.js API 路由的服务端最佳实践。
xu-xiang/everything-claude-code-zh
后端架构模式、API 设计、数据库优化以及针对 Node.js、Express 和 Next.js API 路由的服务端最佳实践。
xu-xiang/everything-claude-code-zh
ClickHouse 数据库模式、查询优化、分析以及高性能分析工作负载的数据工程最佳实践. An agent skill from xu-xiang/everything-claude-code-zh.
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基于本能(Instinct)的学习系统,通过钩子(hooks)观察会话,创建带有置信度评分的原子本能,并将其演化为技能(Skills)、命令(Commands)或智能体(Agents)。v2.1 版本增加了项目作用域(project-scoped)的本能,以防止跨项目污染。. Continuous Learning V2 is an agent skill from xu-xiang/everything-claude-code-zh.
Continuous Learning V2 fits situations like: development work in your project.
Run `npx skills add xu-xiang/everything-claude-code-zh --skill continuous-learning-v2 -a claude-code`. Or copy the skill folder (skills/continuous-learning-v2 in xu-xiang/everything-claude-code-zh) into .claude/skills/continuous-learning-v2 in your project. Claude Code loads it when a task matches its description.
Run `npx skills add xu-xiang/everything-claude-code-zh --skill continuous-learning-v2 -a codex`. Or copy the skill folder (skills/continuous-learning-v2 in xu-xiang/everything-claude-code-zh) into .agents/skills/continuous-learning-v2 in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add xu-xiang/everything-claude-code-zh --skill continuous-learning-v2 -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/continuous-learning-v2, .gemini/skills/continuous-learning-v2, .github/skills/continuous-learning-v2 and .opencode/skills/continuous-learning-v2 in your project.
Going by SKILL.md and its folder, Continuous Learning V2 needs a shell and Python for the scripts in its folder and the command-line tools its instructions call (python3 and git). Our summary lists: Python 3; A Bash shell.
SKILL.md names 2 domains. As links in the text: skill-creator.app and x.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Continuous Learning V2 is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.1k tokens (SKILL.md is roughly 8.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Continuous Learning V2: Finishing a Development Branch (obra/superpowers, 297k stars), Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Code Design Rationale Investigator (cursor/plugins, 10k stars) and Contributor-First PR Merge (HKUDS/OpenHarness, 16k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
xu-xiang (a GitHub user) maintains it in xu-xiang/everything-claude-code-zh, which has 1,976 GitHub stars. The repository holds 78 skills in this directory. The repository was last updated on March 5, 2026.
Source: xu-xiang/everything-claude-code-zh on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.