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.
基于本能的学习系统,通过钩子观察会话,创建带置信度评分的原子本能,并将其进化为技能/命令/代理。v2.1版本增加了项目范围的本能,以防止跨项目污染。
$ npx skills add affaan-m/ECC --skill continuous-learning-v2 -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install affaan-m/ECC 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/affaan-m/ECC.git skills-src && mkdir -p .claude/skills && cp -r skills-src/docs/zh-CN/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/affaan-m/ECC/tree/main/docs/zh-CN/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/affaan-m/ECC/tree/main/docs/zh-CN/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 affaan-m/ECC --skill continuous-learning-v2 -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install affaan-m/ECC continuous-learning-v2 --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .agents/skills && cp -r skills-src/docs/zh-CN/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/affaan-m/ECC/tree/main/docs/zh-CN/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 affaan-m/ECC --skill continuous-learning-v2 -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install affaan-m/ECC continuous-learning-v2 --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/docs/zh-CN/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/affaan-m/ECC/tree/main/docs/zh-CN/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/affaan-m/ECC.git --path docs/zh-CN/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 affaan-m/ECC --skill continuous-learning-v2 -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install affaan-m/ECC 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/affaan-m/ECC.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/docs/zh-CN/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/affaan-m/ECC/tree/main/docs/zh-CN/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 affaan-m/ECC 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 affaan-m/ECC --skill continuous-learning-v2 -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .github/skills && cp -r skills-src/docs/zh-CN/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/affaan-m/ECC/tree/main/docs/zh-CN/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 affaan-m/ECC --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 affaan-m/ECC continuous-learning-v2 --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/docs/zh-CN/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/affaan-m/ECC/tree/main/docs/zh-CN/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基于本能的学习系统,通过钩子观察会话,创建带置信度评分的原子本能,并将其进化为技能/命令/代理。v2.1版本增加了项目范围的本能,以防止跨项目污染。
Continuous Learning V2 is an agent skill from affaan-m/ECC. 基于本能的学习系统,通过钩子观察会话,创建带置信度评分的原子本能,并将其进化为技能/命令/代理。v2.1版本增加了项目范围的本能,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 2 other files (for example `agents/observer.md`).
It sits in Development. It works with Git. The repository describes itself as: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond. The licence is MIT.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 4eb71d9. 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.
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 24 tokens; SKILL.md has 363 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); files beside SKILL.md are not scanned.
The full file from affaan-m/ECC at commit 4eb71d9, republished under its MIT licence (© affaan-m). 363 words, ~2,095 tokens.
.claude/skills/continuous-learning-v2/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.的架构
一个高级学习系统,通过原子化的“本能”——带有置信度评分的小型习得行为——将你的 Claude Code 会话转化为可重用的知识。
v2.1 新增了项目作用域的本能 — 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 | 所有本能随处适用 | 项目作用域 + 全局 |
| 检测 | 无 | git remote URL / 仓库路径 |
| 提升 | 不适用 | 在 2+ 个项目中出现时,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 | 停止钩子(会话结束) | PreToolUse/PostToolUse (100% 可靠) |
| 分析 | 主上下文 | 后台代理 (Haiku) |
| 粒度 | 完整技能 | 原子化“本能” |
| 置信度 | 无 | 0.3-0.9 加权 |
| 进化 | 直接进化为技能 | 本能 -> 聚类 -> 技能/命令/代理 |
| 共享 | 无 | 导出/导入本能 |
一个本能是一个小型习得行为:
---
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"
---
# Prefer Functional Style
## Action
Use functional patterns over classes when appropriate.
## Evidence
- Observed 5 instances of functional pattern preference
- User corrected class-based approach to functional on 2025-01-15属性:
project (默认) 或 global会话活动(在 git 仓库中)
|
| 钩子捕获提示 + 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、工具调用、结果、项目) |
+---------------------------------------------+
|
| 观察者代理读取(后台,Haiku)
v
+---------------------------------------------+
| 模式检测 |
| * 用户修正 -> 直觉 |
| * 错误解决 -> 直觉 |
| * 重复工作流 -> 直觉 |
| * 范围决策:项目级或全局? |
+---------------------------------------------+
|
| 创建/更新
v
+---------------------------------------------+
| projects/<project-hash>/instincts/personal/ |
| * prefer-functional.yaml (0.7) [项目] |
| * use-react-hooks.yaml (0.9) [项目] |
+---------------------------------------------+
| instincts/personal/ (全局) |
| * always-validate-input.yaml (0.85) [全局] |
| * grep-before-edit.yaml (0.6) [全局] |
+---------------------------------------------+
|
| /evolve 聚类 + /promote
v
+---------------------------------------------+
| projects/<hash>/evolved/ (项目范围) |
| evolved/ (全局) |
| * commands/new-feature.md |
| * skills/testing-workflow.md |
| * agents/refactor-specialist.md |
+---------------------------------------------+系统会自动检测您当前的项目:
CLAUDE_PROJECT_DIR 环境变量 (最高优先级)git remote get-url origin -- 哈希化以创建可移植的项目 ID (同一仓库在不同机器上获得相同的 ID)git rev-parse --show-toplevel -- 使用仓库路径作为后备方案 (机器特定)每个项目都会获得一个 12 字符的哈希 ID (例如 a1b2c3d4e5f6)。~/.claude/homunculus/projects.json 处的注册表文件将 ID 映射到人类可读的名称。
添加到你的 ~/.claude/settings.json 中。
如果作为插件安装(推荐):
不需要在 ~/.claude/settings.json 中额外添加 hooks。Claude Code v2.1+ 会自动加载插件的 hooks/hooks.json,其中已经注册了 observe.sh。
如果您之前把 observe.sh 复制到了 ~/.claude/settings.json,请删除重复的 PreToolUse / PostToolUse 配置。重复注册会导致重复执行,并触发 ${CLAUDE_PLUGIN_ROOT} 解析错误,因为该变量只会在插件自己的 hooks/hooks.json 中展开。
如果手动安装到 ~/.claude/skills,请将以下内容添加到 ~/.claude/settings.json:
{
"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"
}]
}]
}
}系统会在首次使用时自动创建目录,但您也可以手动创建:
# Global directories
mkdir -p ~/.claude/homunculus/{instincts/{personal,inherited},evolved/{agents,skills,commands},projects}
# Project directories are auto-created when the hook first runs in a git repo/instinct-status # Show learned instincts (project + global)
/evolve # Cluster related instincts into skills/commands
/instinct-export # Export instincts to file
/instinct-import # Import instincts from others
/promote # Promote project instincts to global scope
/projects # List all known projects and their instinct counts| 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 | 将相关本能聚类成技能/命令,建议提升 |
/instinct-export | 导出本能 (可按作用域/领域过滤) |
/instinct-import <file> | 导入本能 (带作用域控制) |
/promote [id] | 将项目本能提升到全局作用域 |
/projects | 列出所有已知项目及其本能数量 |
编辑 config.json 以控制后台观察器:
{
"version": "2.1",
"observer": {
"enabled": false,
"run_interval_minutes": 5,
"min_observations_to_analyze": 20
}
}| 键 | 默认值 | 描述 |
|---|---|---|
observer.enabled | false | 启用后台观察器代理 |
observer.run_interval_minutes | 5 | 观察器分析观察结果的频率 |
observer.min_observations_to_analyze | 20 | 运行分析所需的最小观察次数 |
其他行为 (观察捕获、本能阈值、项目作用域、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 # 全局观察记录(备用)
+-- instincts/
| +-- personal/ # 全局自动学习的本能
| +-- inherited/ # 全局导入的本能
+-- evolved/
| +-- agents/ # 全局生成的代理
| +-- 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 远程 URL)
| +-- project.json # 项目级元数据镜像(ID/名称/根目录/远程地址)
| +-- observations.jsonl
| +-- observations.archive/
| +-- instincts/
| | +-- personal/ # 项目特定自动学习的
| | +-- inherited/ # 项目特定导入的
| +-- 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 | "使用 React hooks", "遵循 Django REST 模式" |
| 文件结构偏好 | 项目 | "测试放在 __tests__/", "组件放在 src/components/" |
| 代码风格 | 项目 | "使用函数式风格", "首选数据类" |
| 错误处理策略 | 项目 | "对错误使用 Result 类型" |
| 安全实践 | 全局 | "验证用户输入", "清理 SQL" |
| 通用最佳实践 | 全局 | "先写测试", "始终处理错误" |
| 工具工作流偏好 | 全局 | "编辑前先 Grep", "写入前先读取" |
| Git 实践 | 全局 | "约定式提交", "小而专注的提交" |
当同一个本能在多个项目中以高置信度出现时,它就有资格被提升到全局作用域。
自动提升标准:
如何提升:
# Promote a specific instinct
python3 instinct-cli.py promote prefer-explicit-errors
# Auto-promote all qualifying instincts
python3 instinct-cli.py promote
# Preview without changes
python3 instinct-cli.py promote --dry-run/evolve 命令也会建议可提升的候选本能。
置信度随时间演变:
| 分数 | 含义 | 行为 |
|---|---|---|
| 0.3 | 尝试性的 | 建议但不强制执行 |
| 0.5 | 中等的 | 相关时应用 |
| 0.7 | 强烈的 | 自动批准应用 |
| 0.9 | 近乎确定的 | 核心行为 |
置信度增加当:
置信度降低当:
"v1 依赖技能来观察。技能是概率性的 -- 根据 Claude 的判断,它们触发的概率约为 50-80%。"
钩子100% 触发,是确定性的。这意味着:
v2.1 与 v2.0 和 v1 完全兼容:
~/.claude/homunculus/instincts/ 中现有的全局本能仍然作为全局本能工作~/.claude/skills/learned/ 技能仍然有效基于本能的学习:一次一个项目,教会 Claude 您的模式。
© affaan-m, 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 1 other file in docs/zh-CN/skills/continuous-learning-v2 of affaan-m/ECC.
Open the folder on GitHubat commit 4eb71d9
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in affaan-m/ECC, which our catalogue first saw on October 7, 2026.
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 skillaffaan-m/ECC | 276k | 2 repos | ~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 | 4 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Code Design Rationale Investigatorcursor/plugins | 11k | 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.
affaan-m/ECC
Audits your installed Claude skills and commands for quality, with a quick mode for recently changed skills and a full mode that evaluates all of them through subagents.
affaan-m/ECC
Ingests, indexes, searches, edits and monitors video, audio and live streams through the VideoDB Python SDK, returning stream links, clips and timestamps.
affaan-m/ECC
Route broad documentation-governance requests to existing ECC skills and run an opt-in, read-only audit of mapped documentation roles, links, ADR indexes, and evidence references.
affaan-m/ECC
Scans installed skills for principles that recur across them and proposes rule-file changes: append, revise, add a section, create a file or leave as covered.
affaan-m/ECC
Builds DRAFT counterparty agreements from one markdown template and a small JSON spec per party, with clauses picked by the party's role.
affaan-m/ECC
Measures whether agents actually follow a skill, rule or agent definition by generating scenarios at three strictness levels and scoring tool-call traces.
Works with
Categories
基于本能的学习系统,通过钩子观察会话,创建带置信度评分的原子本能,并将其进化为技能/命令/代理。v2.1版本增加了项目范围的本能,以防止跨项目污染。. Continuous Learning V2 is an agent skill from affaan-m/ECC.
Continuous Learning V2 fits situations like: development work in your project.
Run `npx skills add affaan-m/ECC --skill continuous-learning-v2 -a claude-code`. Or copy the skill folder (docs/zh-CN/skills/continuous-learning-v2 in affaan-m/ECC) into .claude/skills/continuous-learning-v2 in your project. Claude Code loads it when a task matches its description.
Run `npx skills add affaan-m/ECC --skill continuous-learning-v2 -a codex`. Or copy the skill folder (docs/zh-CN/skills/continuous-learning-v2 in affaan-m/ECC) 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 affaan-m/ECC --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 the command-line tools its instructions call (python3 and git). Our summary lists: Python 3.
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. Review the folder before installing.
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 8.4k 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, 11k 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.
affaan-m (a GitHub user) maintains it in affaan-m/ECC, which has 276,111 GitHub stars. The repository holds 683 skills in this directory. The repository was last updated on October 10, 2026.
Source: affaan-m/ECC on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.