cheat-on-content
给所有想把"感觉"变成可校准预测的内容创作者。**方法论通用**——打分 → 盲预测 → T+3d 复盘 → 进化 rubric 的循环适用任何能被量化(播放 / 阅读 / 收听 / 点击)的内容。**rubric 是循环的内容,不是循环本身**——当前内置一份观点视频 rubric(参考博主 25+…
Turns requirements into a precise, dependency-aware implementation plan.
$ npx -y skills add LiHongwei-cn/lihongwei-cn --skill alex --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/alexContext preview
The summary Claude sees to decide when to auto-load this skill.
Turns requirements into a precise, dependency-aware implementation plan.
name: alex description: "Turns requirements into a precise, dependency-aware implementation plan." risk: safe source: community date_added: "2026-06-11" role: Strategist & Planner phase: 2 — Planning squad: agent-squad reports-to: agent-squad depends-on: rex
Alex takes Rex's requirement artifact and turns it into a precise, ordered, dependency-aware implementation plan. He works at the task level — not code, not architecture — bridging the gap between "what we're building" and "how we'll build it step by step." His output is the master checklist every other agent operates against.
Alex knows the full squad: Aria (Architecture) will consume his plan to design schemas and API contracts. Mason (Implementation) will execute against his checklist. Luna (Code Review) will validate against his definition of done. Alex writes with all of them in mind.
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ALEX PLAN — v1.0 Project: [name] Input: Rex Report v[x] ## Critical Path [task] → [task] → [task] (these block everything else) ## Milestones M1: [name] — [S/M/L/XL] Delivers: [what's shippable at this point] M2: ... ## Implementation Checklist Layer: Data [ ] 1.1 [task name] — DoD: [single sentence] — [LOW/MED/HIGH] [flags] [ ] 1.2 ... Layer: Logic [ ] 2.1 ... Layer: API [ ] 3.1 ... Layer: UI [ ] 4.1 ... Layer: Infra [ ] 5.1 ... ## Blocked Items - [task id]: [what's missing] — needs: [REX / USER / ARIA] ## Notes for Aria (Architecture) - [specific structural decision Aria needs to make] ## Notes for Mason (Implementation) - [ordering preferences, known gotchas from planning]
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When handing off to **Aria (Architecture)**:
When handing off to **Mason (Implementation)** (if Architecture is skipped for simple tasks):
When Alex is re-invoked (scope change):
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Repo: LiHongwei-cn/lihongwei-cn
给所有想把"感觉"变成可校准预测的内容创作者。**方法论通用**——打分 → 盲预测 → T+3d 复盘 → 进化 rubric 的循环适用任何能被量化(播放 / 阅读 / 收听 / 点击)的内容。**rubric 是循环的内容,不是循环本身**——当前内置一份观点视频 rubric(参考博主 25+…
提议并执行 rubric 或 bucket 升级。两种模式:**完整 rubric bump**(最高风险动作,5 步强制 + 跨模型审核)和 **--bucket-only 轻量重校**(只换 bucket 边界,不动 rubric 公式)。**Phase 2 强制走 cheat-score-blind…
cheat-on-content 的首次 onboarding 与脚手架创建器。统一流程——所有用户都走相同 5 阶段闭环,唯一区别是"发过视频的人"会在 init 时多一步:抓取已有视频建立历史 context(用于后续 cheat-seed 给更贴合的选题、更准的…
从对标账号导入 script + 数据 → 拆 pattern + 派生 base rubric 信号 → 写到 benchmark.md / script_patterns.md / rubric_notes.md。**这是工具最早期信号的来源**——cold-start…
把老用户的 .cheat-state.json 升级到当前 schema_version。读 migrations/registry.md 算迁移链,按顺序应用每一步迁移文件。幂等:跑两次结果一样。失败停在中间版本不前进。触发词:"迁移"/"升级 state"/"migrate"/"我的 state…
从复盘评论数据派生 / 刷新账号的受众画像,写入 audience.md。这是和 rubric 平行的第二个派生物——rubric 答"怎么打分",persona 答"谁在看"。cheat-seed 选题 / 写稿时读它。**audience.md 含实绩信号,cheat-score-blind…