Your AI-Powered Open Source Growth Engine
你的 AI 开源项目增长引擎
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Stop guessing. Start growing. A battle-tested playbook distilled into an AI skill that turns your GitHub project from invisible to unstoppable.
别再凭感觉运营了。一套经过实战验证的增长方法论，浓缩为 AI 技能，让你的 GitHub 项目从无人问津到势不可挡。
Every day, thousands of open source projects are born on GitHub. Most die in obscurity — not because the code is bad, but because nobody ever finds out about them.
The gap between "great project" and "popular project" isn't code quality. It's operations: how you position, promote, and nurture your project into a self-sustaining community.
This skill bridges that gap. It encodes the collective wisdom from real-world open source growth playbooks into an AI assistant that sits inside your daily workflow — diagnosing your project's stage, generating tailored growth plans, writing your README, drafting your Hacker News launch post, and iterating with you as your metrics evolve.
| Feature | Generic AI Advice | github-oss-ops |
|---|---|---|
| Stage awareness | One-size-fits-all tips | Diagnoses your project phase (0→100 / 100→1K / 1K+) and adapts strategy |
| Actionable output | "Write better docs" | "Add an asciinema GIF to your README, publish to r/Python Tuesday 8am EST, expect +30 stars" |
| Anti-patterns | Might suggest star-gaming | 7 built-in guardrails against common traps (star-buying, spam posting, etc.) |
| Iteration loop | One-shot advice | Built-in PDCA cycle with checkpoints, failure diagnosis, and Plan B |
| Templates | "You should have a CONTRIBUTING.md" | Ships 6 production-ready templates (CONTRIBUTING, CoC, Issue/PR templates, SECURITY) |
| Multi-platform | Platform-locked | Runs on Mira, Claude Code, OpenClaw, or any SKILL.md-compatible agent |
- Project Diagnosis — Automatically identifies your growth stage and bottlenecks
- Growth Plan Generation — 30-day quick wins + 90-day roadmap + metrics tracking table
- README Rewriting — Complete README.md with badges, benchmarks, quick start, and architecture diagrams
- Content Operations — Tech blogs, social media copy (Twitter/Reddit/HN), CFP proposals
- Community Governance — CONTRIBUTING.md, CODE_OF_CONDUCT, Issue/PR templates, SECURITY.md
- Strategy Iteration — Built-in PDCA framework for continuous improvement
┌─────────────────────────────────────────────────────────────────────────────┐
│ DIAGNOSE → PLAN → EXECUTE → ITERATE │
├─────────────────────────────────────────────────────────────────────────────┤
│ • Current metrics • 30-day quick wins • Write content • Check KPIs │
│ • Project stage • 90-day roadmap • Optimize README • Analyze │
│ • Key bottlenecks • Channel strategy • Launch campaign • Adjust │
└─────────────────────────────────────────────────────────────────────────────┘
This skill is pre-installed for Mira users. Simply invoke it with:
/mira-user-skills:github-oss-ops My project has 50 stars, how do I grow to 500?
-
Copy the skill folder to your Claude Code custom skills directory:
cp -r github-oss-ops/ ~/.claude/skills/github-oss-ops/ -
Restart Claude Code or run
/refresh -
Invoke naturally — the skill triggers on open-source related queries:
> I have a Python CLI tool with 12 stars, how do I get to 100?
- Clone or download this repository
- Place the folder in your agent's skills directory
- Reference the SKILL.md path in your agent's configuration
github-oss-ops/
├── SKILL.md # Main skill file (207 lines)
├── README.md # This file
├── LICENSE # MIT License
└── references/
├── growth-playbook.md # Complete 0→1000 Stars strategy (436 lines)
└── templates.md # 6 community governance templates (316 lines)
Early-stage growth (0-100 stars):
User: I just released a Python CLI tool. It solves [X problem] but only has 3 stars.
Skill: [Diagnoses as early stage] → [Generates 30-day quick wins] → [Optimizes README]
→ "Your README spends 70% on API docs but 0% on 'why this exists'. Here's a rewrite..."
Growth plateau (100-500 stars):
User: My project grew to 150 stars in month 1 but now it's stuck.
Skill: [Identifies contributor funnel blockage] → [Suggests good-first-issues]
→ "You have users but no contributors. Create these 3 issues labeled 'good first issue'..."
Mature project optimization (1000+ stars):
User: We have 2K stars but only 5 contributors. How do we build a maintainer community?
Skill: [Analyzes governance gaps] → [Proposes contribution tiers]
→ "Add a CONTRIBUTING.md with clear triage process and CODE_OF_CONDUCT..."
每天都有数千个开源项目在 GitHub 上诞生。大多数在默默无闻中消亡——不是因为代码质量差，而是因为根本没人知道它们的存在。
"好项目"和"受欢迎的项目"之间的差距不在于代码，而在于运营：如何定位、推广和培育你的项目，让它成为一个自我维持的社区。
这个技能弥合了这种差距。它将真实世界的开源增长方法论编码进 AI 助手，融入你的日常工作流——诊断项目阶段、生成定制化增长计划、撰写 README、起草 Hacker News 发布文案，并随着指标变化与你一起迭代。
| 特性 | 通用 AI 建议 | github-oss-ops |
|---|---|---|
| 阶段感知 | 千篇一律的建议 | 诊断项目阶段（0→100 / 100→1K / 1K+）并自适应策略 |
| 可执行输出 | "写更好的文档" | "在 README 添加 asciinema GIF，周二早 8 点发布到 r/Python，预期 +30 stars" |
| 反模式防护 | 可能建议刷星 | 内置 7 条常见陷阱防护（刷星、垃圾推广等） |
| 迭代闭环 | 一次性建议 | 内置 PDCA 循环，含检查点、失败诊断和 Plan B |
| 模板库 | "你应该有 CONTRIBUTING.md" | 提供 6 个生产级模板（贡献指南、行为准则、Issue/PR 模板、安全策略） |
| 跨平台 | 平台锁定 | 支持 Mira、Claude Code、OpenClaw 及任何兼容 SKILL.md 的 Agent |
- 项目诊断 — 自动识别增长阶段和瓶颈
- 增长计划生成 — 30 天速赢 + 90 天路线图 + 指标追踪表
- README 重写 — 完整的 README.md，含 Badge、性能数据、快速开始、架构图
- 内容运营 — 技术博客、社交媒体文案（Twitter/Reddit/HN）、CFP 提案
- 社区治理 — CONTRIBUTING.md、CODE_OF_CONDUCT、Issue/PR 模板、SECURITY.md
- 策略迭代 — 内置 PDCA 框架持续优化
┌─────────────────────────────────────────────────────────────────────────────┐
│ 诊断 → 规划 → 执行 → 迭代 │
├─────────────────────────────────────────────────────────────────────────────┤
│ • 当前指标 • 30 天速赢 • 撰写内容 • 检查 KPI │
│ • 项目阶段 • 90 天路线图 • 优化 README • 归因分析 │
│ • 核心瓶颈 • 渠道策略 • 启动推广 • 策略调整 │
└─────────────────────────────────────────────────────────────────────────────┘
Mira 用户已预装此技能。直接调用：
/mira-user-skills:github-oss-ops 我的项目有 50 个 star，怎么增长到 500？
-
复制技能文件夹到 Claude Code 自定义技能目录：
cp -r github-oss-ops/ ~/.claude/skills/github-oss-ops/ -
重启 Claude Code 或运行
/refresh -
自然调用 — 技能会在开源相关查询时自动触发：
> 我有一个 Python CLI 工具，只有 12 个 star，怎么涨到 100？
- 克隆或下载此仓库
- 放置文件夹到你的 Agent 技能目录
- 引用 SKILL.md 路径到你的 Agent 配置
github-oss-ops/
├── SKILL.md # 主技能文件（207 行）
├── README.md # 本文件
├── LICENSE # MIT 许可证
└── references/
├── growth-playbook.md # 完整的 0→1000 Stars 策略（436 行）
└── templates.md # 6 个社区治理模板（316 行）
早期增长（0-100 stars）：
用户：我刚发布了一个 Python CLI 工具，解决 [X 问题]，但只有 3 个 star。
技能：[诊断为早期阶段] → [生成 30 天速赢方案] → [优化 README]
→ "你的 README 花了 70% 篇幅讲 API 文档，0% 讲'为什么存在'。这是重写版本..."
增长瓶颈（100-500 stars）：
用户：我的项目第一个月涨到 150 stars，现在卡住了。
技能：[识别贡献者漏斗阻塞] → [建议 good-first-issues]
→ "你有用户但没有贡献者。创建这 3 个标有 'good first issue' 的 Issue..."
成熟项目优化（1000+ stars）：
用户：我们有 2K stars，但只有 5 个贡献者。怎么建立维护者社区？
技能：[分析治理缺口] → [提出贡献层级]
→ "添加带清晰分流流程的 CONTRIBUTING.md 和 CODE_OF_CONDUCT..."
MIT License — see LICENSE file for details.
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