Agent Skills: Meta-Cognition

Meta-Cognition

Use this skill to turn a vague request, anomaly, or project into a governed execution loop.

This skill is for judgment before action and closure after action. It is especially useful for CEO-style coordination where the main risk is not lack of tools, but wrong framing, wrong ownership, missing verification, or shallow status reporting.

Core protocol

For any non-trivial task, produce these six sections before major execution:

1. 问题本质 / Problem Essence
2. 责任归属 / Ownership Routing
3. 风险等级 / Risk Gate
4. 最小闭环 / Minimum Closure
5. 执行动作 / Action Plan
6. 验证与复盘 / Verification & Retro

If the user asks for a fast answer, compress the six sections into short bullets instead of skipping them.

When to apply strict mode

Use full strict mode when any of the following is true:

• The request affects money, production systems, accounts, auth, deployments, or public output.
• The task spans multiple agents or requires dispatch.
• The user explicitly says “先分析再做”, “别急着开发”, “复盘一下”, or asks for strategy.
• You detect stale sessions, zombie jobs, aborted runs, or cron drift that needs resolution.
• You are about to claim a task is done and fresh verification matters.

In strict mode, do not jump from detection straight to execution. Frame → route → gate → act → verify.

Step 1 — Problem Essence

Rewrite the request into the real problem.

Answer:

• What is the surface request?
• What is the underlying business/operational problem?
• What would count as success in one sentence?
• What is still unknown?

Rules:

• Strip hype and vague labels.
• Prefer operational language over abstract buzzwords.
• If the request is probably misframed, say so directly.

Step 2 — Ownership Routing

Decide who should do the work.

Answer:

• Which agent owns the core capability?
• Which supporting agents, if any, should assist?
• Should the CEO/main session coordinate only, or also execute?
• Can independent sub-tasks run in parallel?

Rules:

• CEO should prefer routing and quality control over doing specialized execution.
• Route by core capability, not by convenience.
• If a task crosses functions, split it into separate deliverables.

For detailed routing heuristics, read references/ownership-routing.md.

Step 3 — Risk Gate

Assign a risk level before acting.

Use three levels:

• P0 / High risk — money movement, prod changes, auth, data loss, public posting, destructive actions
• P1 / Medium risk — important but reversible config/code/content changes
• P2 / Low risk — read-only analysis, drafts, internal notes, low-impact summaries

For every task, state:

• Risk level
• Main failure mode
• Whether user confirmation is required
• What should be protected from overreach

Rules:

• For high-risk work, default conservative.
• “Can do” is not enough; ask whether it should be done now.

Step 4 — Minimum Closure

Define the smallest end-to-end result that counts as actually finished.

Examples:

• Not “cron checked”, but “cron updated, effective model confirmed, drift explained”.
• Not “agent notified”, but “agent received, responded, and delivered or was escalated”.
• Not “API built”, but “fresh tests passed and real request returned required fields”.

State:

• Deliverable
• Verification method
• Evidence expected
• What remains out of scope

For closure patterns, read references/closure-loop.md.

Step 5 — Action Plan

Only now decide what to do.

Use one of four modes:

• Act now — enough clarity, low/moderate risk, tools available
• Dispatch — another agent should own execution
• Ask first — critical missing context or approval needed
• Defer — low ROI or blocked

When dispatching:

• Give a clear objective
• Specify output location/format
• Specify how completion should be reported
• Define timeout/escalation expectations

If useful, use this structure:

• Objective
• Owner
• Inputs
• Output
• Deadline / next check
• Escalation path

Step 6 — Verification & Retro

Before saying “done”, check:

• What was verified just now?
• What evidence supports the claim?
• What is still assumed rather than proven?
• What lesson should become memory, SOP, skill, or cron?

Never collapse “looks good” into “done”.

If the task produced a reusable lesson, explicitly propose one of:

• Update memory
• Update skill
• Update SOP/checklist
• Update cron/monitoring
• No durable lesson

For retro extraction prompts, read references/retro-prompts.md.

Default output template

Use this template unless the user asks for a different format:

## 1. 问题本质
- 表层需求：
- 真问题：
- 成功标准：
- 未知项：

## 2. 责任归属
- 主负责：
- 协同：
- CEO 是否亲自执行：
- 是否并行：

## 3. 风险等级
- Level：P0 / P1 / P2
- 失败模式：
- 是否需确认：

## 4. 最小闭环
- 交付物：
- 验证方式：
- 完成证据：
- 当前不做：

## 5. 执行动作
- 模式：Act / Dispatch / Ask / Defer
- 下一步：

## 6. 验证与复盘
- 已验证：
- 未验证：
- 可沉淀项：

Anti-patterns

Do not do these:

• Jump straight into execution when the request is still ambiguous.
• Treat status reporting as problem resolution.
• Keep work in the CEO session when a specialist agent should own it.
• Claim completion without fresh evidence.
• Inflate low-confidence guesses into decisions.
• Leave anomalies as “known issue” without owner, next step, or closure condition.

Trigger phrases

This skill is a strong match for prompts like:

中文高频触发

• “先分析再做” / “先别动手” / “先别急着写代码”
• “先判断一下” / “先定方案” / “先想清楚再做”
• “帮我拆一下这事” / “这个事情怎么收口” / “给个最小闭环”
• “这个该派给谁” / “谁负责” / “你来协调一下” / “拉多 agent 一起做”
• “CEO 指令” / “CEO 派发” / “军团任务” / “帮我调度一下” / “安排下去并盯闭环”
• “异常怎么处理” / “为什么又炸了” / “为什么监控到了却没解决” / “把这个事故复盘一下” / “给我复盘”
• “别只报状态” / “我要结果，不要过程” / “给我一个能验收的版本”
• “先看风险” / “值不值得做” / “要不要现在做” / “先评估 ROI / 风险”
• “帮我定 owner / deadline / 验收标准” / “这个事情怎么推进” / “下一步谁来做”

English triggers

• “analyze first, then do” / “think first” / “frame this before acting”
• “who should own this?” / “route this to the right agent” / “orchestrate this”
• “give me a closure plan” / “what is the minimum end-to-end closure?”
• “don’t just give status, close the loop” / “turn this into a verified outcome”
• “postmortem this” / “retro this” / “why did this fail?”
• “dispatch this across agents” / “multi-agent coordination” / “CEO delegation”

群聊/命令式说法

• “你先别做，先判断”
• “先出分析框架再执行”
• “去查清楚再汇报”
• “先给结论、风险、owner、下一步”
• “盯到闭环，不要只催办”
• “这事给我复盘并沉淀 SOP / memory / skill”

Resource map

Read bundled references only when needed:

• references/ownership-routing.md — choose the right agent and decide parallelism
• references/closure-loop.md — convert detection into verifiable closure
• references/retro-prompts.md — extract durable lessons without noise