plan-ceo-review
Skill44 starsChanged 8 months agoMITView on GitHub
CEO/创始人视角的计划评审工具。重新思考问题、寻找10星级产品、挑战前提假设,包含四种范围模式。
Files
Plan CEO Review - CEO 计划评审
转换自 gstack/plan-ceo-review,专为 WorkBuddy/OpenClaw 优化
概述
从 CEO/创始人视角进行全方位计划审查,确保技术决策与业务战略对齐。
触发条件
当用户说以下内容时使用此技能:
- "更大胆思考"
- "扩展范围"
- "战略审查"
- "重新思考"
- "这够雄心吗"
- "CEO 视角"
- 质疑计划范围或雄心时
四种范围模式
1. 范围扩展模式 (Range Expansion)
- 大胆设想,推动范围向上扩展
- 探索"如果成功,会发生什么"
- 识别潜在的 10x 机会
2. 选择性扩展模式 (Selective Expansion)
- 保持现有范围
- 提供扩展选项供选择
- 平衡风险与机会
3. 保持范围模式 (Stay in Range)
- 最大严谨度
- 确保现有计划完整可执行
- 识别潜在风险
4. 范围缩减模式 (Range Contraction)
- 精简到最小可行版本
- 快速验证核心假设
- 降低风险
预审查系统审计
在开始审查前,先了解项目状态:
- 最近 30 条 git 历史
- 已更改的文件统计
- 暂存的工作内容
- 项目中的 TODO/FIXME 标记
- 最近修改的文件分析
10 个审查章节
1. 架构审查
- 系统设计
- 数据流
- 状态机
- 安全性
2. 错误与救援映射
- 每个可能失败的代码路径分析
- 错误处理策略
- 回退机制
3. 安全与威胁模型
- 攻击面扩展
- 输入验证
- 授权和认证
4. 数据流与交互边界情况
- 数据流追踪
- 用户交互边界处理
- 跨系统通信
5. 代码质量审查
- 代码组织
- DRY 原则
- 命名质量
6. 测试审查
- 完整的测试覆盖图
- 测试策略
- 边界条件测试
7. 性能审查
- N+1 查询
- 内存使用
- 数据库索引
- 缓存策略
8. 可观察性与调试性
- 日志记录
- 指标
- 警报
9. 部署与发布审查
- 迁移安全
- 功能标志
- 回滚计划
- 发布节奏
10. 长期轨迹审查
- 技术债务
- 路径依赖
- 知识集中
- 扩展性规划
CEO 思维模式
集成以下 CEO 的决策思维模式:
- 贝佐斯 - 长期思考 Day 1 心态
- 格鲁夫 - 战略转折点识别
- 芒格 - 反向思维,多元思维模型
- 马斯克 - 第一性原理思考
- 乔布斯 - 极致产品体验
完整性原则
"不要做半桶水,要做就做一整桶"
遵循"煮沸湖泊"原则:
- 优先选择完整实现而非快捷方案
- AI 使得边际成本接近零
- 100% 完成优于 80% 的"足够好"
图表要求
对所有重要的设计内容,生成 ASCII 图表:
- 数据流图
- 状态机图
- 架构图
- 用户旅程图
输出
自动生成 CEO 计划文档,记录:
- 审查决策
- 风险评估
- 机会分析
- 建议行动
注意: 本技能是 gstack plan-ceo-review 的 WorkBuddy/OpenClaw 适配版本。
Other versions49 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 49
- garrytan/gstack★ 139ksame name
- DenchHQ/DenchClaw★ 1.7ksame name
- DenchHQ/ironclaw★ 1.7ksame name
- mr-daedalium/ostack-saas★ 108same name
- no-session/pstack★ 96same name
- lucas-flatwhite/gstack-ko★ 45same name
- WillNigri/Agentic-Tool-Optimization★ 34same name
- CarbeneAI/Forge★ 9same name
- Samin12/skills★ 8same name
- CODE-SAURABH/OpenSkills★ 2same name
39 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
Used alongsideProjects with it also use ios-clean, ios-fix and 9 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
Saqlain-811Skillios-clean
Remove the DebugBridge SPM package and all #if DEBUG wiring from an iOS app. (gstack)
Also in 5 projects that use this
Saqlain-811Skillios-fix
Autonomous iOS bug fixer. (gstack)
Also in 5 projects that use this
ShreyRaviSkillplan-tune
Self-tuning question sensitivity + developer psychographic for gstack (v1: observational). Review which AskUserQuestion prompts fire across gstack skills, set per-question preferences (never-ask / always-ask / ask-only-for-one-way), inspect the dual-track profile (what you declared vs what your behavior suggests), and enable/disable question tuning. Conversational interface — no CLI syntax required.
Also in 8 projects that use this
ShreyRaviSkilllanding-report
Read-only queue dashboard for workspace-aware ship. Shows which VERSION slots are currently claimed by open PRs, which sibling Conductor workspaces have WIP work likely to ship soon, and what slot /ship would pick next. No mutations — just a snapshot. Use when asked to "landing report", "what's in the queue", "show me open PRs", or "which version do I claim next". (gstack)
Also in 7 projects that use this
seek888Skilldesign-html
Design finalization: generates production-quality Pretext-native HTML/CSS. Works with approved mockups from /design-shotgun, CEO plans from /plan-ceo-review, design review context from /plan-design-review, or from scratch with a user description. Text actually reflows, heights are computed, layouts are dynamic. 30KB overhead, zero deps. Smart API routing: picks the right Pretext patterns for each design type. Use when: "finalize this design", "turn this into HTML", "build me a page", "implement this design", or after any planning skill. Proactively suggest when user has approved a design or has a plan ready. (gstack) Voice triggers (speech-to-text aliases): "build the design", "code the mockup", "make it real".
Also in 12 projects that use this
seek888Skillpair-agent
Pair a remote AI agent with your browser. One command generates a setup key and prints instructions the other agent can follow to connect. Works with OpenClaw, Hermes, Codex, Cursor, or any agent that can make HTTP requests. The remote agent gets its own tab with scoped access (read+write by default, admin on request). Use when asked to "pair agent", "connect agent", "share browser", "remote browser", "let another agent use my browser", or "give browser access". (gstack) Voice triggers (speech-to-text aliases): "pair agent", "connect agent", "share my browser", "remote browser access".
Also in 9 projects that use this
- +1 more from Saqlain-811
- +3 more from ShreyRavi
- +1 more from seek888
In this repository21 other files it gives its agents.
- carefulSkill
- codexSkill
- design-consultationSkill
- design-reviewSkill
- document-releaseSkill
- freezeSkill
- gstack-skillsSkill
- guardSkill
- investigateSkill
- office-hoursSkill
- plan-design-reviewSkill
- plan-eng-reviewSkill
- qa-onlySkill
- qaSkill
- retroSkill
- reviewSkill
- shipSkill
- gstack-openclaw-skillsSkill
- hello-workspace-skillSkill
- nested-workspace-skillSkill
- test-workspace-skillSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

