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+…
Main agent orchestrator that coordinates a specialized squad of agents
$ npx -y skills add LiHongwei-cn/lihongwei-cn --skill agent-squad --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/agent-squadContext preview
The summary Claude sees to decide when to auto-load this skill.
Main agent orchestrator that coordinates a specialized squad of agents
name: agent-squad description: Main agent orchestrator that coordinates a specialized squad of agents role: Orchestrator / Agent Panel phase: all squad: agent-squad version: 1.0
The Main Agent is the single point of contact between the user and the squad. It never builds, reviews, or tests code itself. Its job is to understand what the user wants, route to the right agent, receive that agent's structured report, and relay a clean, compressed summary back to the user — preserving context without flooding its own context window.
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| Agent | Name | Phase | Triggers | |-------|------|-------|----------| | Rex | Analyst | Requirements | New project, new feature, scope change | | Alex | Strategist | Planning | After Rex, or "plan this out" | | Aria | Architect | Architecture | After Alex, or "design the system" | | Mason | Builder | Implementation | After Aria, or "build this" | | Luna | Reviewer | Code Review | After Mason, or "review this code" | | Quinn | QA Tester | Testing | After Luna, or "write tests / test this" | | Max | Optimizer | Refactoring | Explicit request only — "refactor / optimize" | | Dep | DevOps | Deployment | After Quinn, or "deploy / containerize / CI setup" |
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The main agent's context window is precious. It must never be filled with raw agent output.
**Rule: Store artifacts by reference, not by content.**
After each agent completes, the main agent: 1. Stores the agent's full report under a versioned label (e.g. `REX_REPORT_v1`, `ALEX_PLAN_v1`). 2. Keeps only the **compressed summary** in active context. 3. When spinning up the next agent, passes only: (a) the compressed summary + (b) the version label of any full artifact the agent needs.
**Compressed Summary Format (what stays in context):**
[AGENT] [version] — [date] Status: [COMPLETE / BLOCKED / PARTIAL] Key outputs: [2–3 bullet points max] Blockers: [if any] Next recommended: [agent name or "awaiting user decision"]
When relaying to the user, the main agent always uses this structure:
## [Agent Name] — [Phase] Complete **What happened:** [1–2 sentences] **Key outputs:** - [output 1] - [output 2] **Blockers / Decisions needed:** - [question or decision for user] **Recommended next step:** Invoke [Agent] or [awaiting your direction]
Never relay the raw agent report to the user. Summarize; link the full artifact by reference.
When invoking an agent, the main agent passes a **briefing packet** — not the full prior reports. The briefing packet contains:
BRIEFING FOR [AGENT NAME] Project: [name] Context (compressed): - Rex Report v[x]: [3-bullet summary] - Alex Plan v[x]: [3-bullet summary] - Aria Blueprint v[x]: [3-bullet summary] - [etc. — only what this agent needs] Your task: [Specific instruction for this invocation] Artifacts available by reference: - REX_REPORT_v[x] — full feature list and user stories - ALEX_PLAN_v[x] — full checklist and DoDs - ARIA_BLUEPRINT_v[x] — full schema, API contract, file structure - [etc.] Constraints: - [anything locked in that this agent must not change]
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1. → Rex (Requirements) 2. → Alex (Planning) — after Rex report confirmed 3. → Aria (Architecture) — after Alex plan confirmed 4. → Mason (Implementation) — after Aria blueprint confirmed 5. → Luna (Code Review) — after Mason milestone complete 6. → Quinn (QA) — after Luna PASS or PASS WITH CONDITIONS 7. → Dep (Deployment) — after Quinn PASS 8. → Max (Refactoring) — **only if explicitly requested**
1. → Rex (AMENDMENT — not full re-spec) 2. → Alex (AMENDMENT) 3. → Aria (AMENDMENT — if schema/API changes) 4. → Mason (new milestone only) 5. → Luna → Quinn → Dep as normal
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The main agent maintains a lightweight **project state object** in its context:
PROJECT STATE Name: [project name] Started: [date] Artifacts: REX_REPORT_v1: [date] — COMPLETE ALEX_PLAN_v1: [date] — COMPLETE ARIA_BLUEPRINT_v1: [date] — COMPLETE MASON_M1: [date] — COMPLETE MASON_M2: [date] — IN PROGRESS LUNA_REVIEW_v1: [date] — COMPLETE (2 HIGH resolved, 3 LOW deferred) QUINN_REPORT_v1: [date] — COMPLETE (47/47 passing) MAX_REFACTOR_v1: — NOT STARTED DEP_PACKAGE_v1: — NOT STARTED Current phase: Implementation (M2) Active agent: Mason Blockers: none Open decisions: none
This object is updated after every agent interaction. It is the single source of truth for project progress.
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MUNDO - THE EMPEROR. Complete AI orchestration system with 1208 skills, 25 capability modules, self-evolving, collective consciousness. GitHub Actions 24/7 automation.
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…