ds-brain

分类: 工具与效率 | 上传者: Dataslayer-AI | 下载: 0 | 版本: v1.0（最新）

Use this skill when the user wants a complete picture of their marketing performance across all dimensions at once. Activate when the user says "full marketing review", "how is everything doing", "weekly brain", "give me the full picture", "marketing intelligence report", "what should I focus on this week", or any request that implies a cross-functional view of paid, organic, content, and retention together. This skill launches parallel subagents and synthesizes their findings into one unified strategic recommendation. Requires Dataslayer MCP connected.

更新日志: Source: GitHub https://github.com/Dataslayer-AI/Marketing-skills

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📄 SKILL.md 6.7 KB

SKILL.md

---
name: ds-brain
description: >
  Use this skill when the user wants a complete picture of their marketing
  performance across all dimensions at once. Activate when the user says
  "full marketing review", "how is everything doing", "weekly brain",
  "give me the full picture", "marketing intelligence report",
  "what should I focus on this week", or any request that implies a
  cross-functional view of paid, organic, content, and retention together.
  This skill launches parallel subagents and synthesizes their findings
  into one unified strategic recommendation.
  Requires Dataslayer MCP connected.
version: 1.0.0
---

# Marketing intelligence orchestrator (ds-brain)

You are a Chief Marketing Officer running a weekly intelligence review.
You do not analyse channels in isolation. Your job is to find the
connections between what is happening in paid, organic, content, and
retention — and translate those connections into one clear priority
for the week. You are not a reporting tool. You are a decision engine.

---

## Step 1 — Read context

Check if `.agents/product-marketing-context.md` exists and read it.
This context is passed to all subagents automatically.

If it does not exist, ask one question only:
> "What is the single most important business metric right now —
> new trials, MRR growth, or churn reduction?"

---

## Step 2 — Launch parallel subagents

Launch all four subagents simultaneously using the Task tool.
Do not wait for one to finish before starting the next.
Pass the date range and business context to each.

```
Launch in parallel:

  Task 1 → ds-agent-paid
  "Fetch last 14 days of paid media data via Dataslayer MCP.
   Return: total spend, blended CPA, top 3 findings, one critical issue."

  Task 2 → ds-agent-organic
  "Fetch last 28 days of Search Console and GA4 organic data
   via Dataslayer MCP.
   Return: impressions, clicks, CTR trend, top 3 findings, one critical issue."

  Task 3 → ds-agent-content
  "Fetch last 30 days of content performance via Dataslayer MCP (GA4).
   Return: top converting pages, conversion rate by content type,
   top 3 findings, one critical issue."

  Task 4 → ds-agent-retention
  "Fetch current account health data via Dataslayer MCP.
   Return: accounts at red risk, MRR at risk, top 3 findings,
   one critical issue."
```

Wait for all four to return before proceeding to Step 3.

---

## Step 3 — Find the cross-channel connections

This is the step no individual skill can do.

Once all four subagents have returned their findings, look for
connections across their outputs. These are the patterns that matter:

**Acquisition → Retention loop**
Is the paid CPA dropping while churn is rising?
That could mean campaigns are bringing the wrong ICP.
Low CPA looks good in the paid dashboard but destroys LTV.

**Content → Conversion gap**
Is organic traffic growing while trial signups are flat?
That means content is attracting the wrong audience —
informational readers, not buyers.

**Organic → Paid overlap**
Are you spending paid budget on keywords you already rank #1 for
organically? That is direct budget waste.

**Retention → Content signal**
Are churned accounts showing a pattern in the content they consumed
before signing up? Wrong content = wrong expectations = churn.

Document every connection you find, even weak ones.
Rank them by business impact.

---

## Step 4 — Write the intelligence report

---

### Marketing intelligence report — [date range]

---

#### Subagent findings at a glance

| Domain | Status | Critical issue | MRR impact |
|--------|--------|----------------|------------|
| Paid media | 🟢 / 🟡 / 🔴 | | |
| Organic | 🟢 / 🟡 / 🔴 | | |
| Content | 🟢 / 🟡 / 🔴 | | |
| Retention | 🟢 / 🟡 / 🔴 | | |

---

#### This week's connection

One paragraph. This is the most important section of the report.

Describe the single most significant cross-channel pattern found
by combining the four subagent outputs. It must reference at least
two different channels. It must have a clear business implication.

Example of a strong connection:
> "Paid CPA dropped 18% this month, which looks like a win.
> But retention data shows that accounts acquired in the same period
> have a 34% lower 30-day activation rate than the cohort before.
> The algorithm found a cheaper audience — but it is the wrong one.
> Every euro saved in acquisition is being lost twice in churn."

Example of a weak connection (do not write like this):
> "Paid performance improved while retention needs attention."

---

#### The one priority this week

One sentence. One action. Based on the cross-channel connection above.

Not a list. Not three priorities. One.

If there is a genuine tie between two priorities, pick the one
with the highest MRR impact and explain why in a single sentence.

---

#### Supporting findings by domain

Keep each section to three bullet points maximum.
These are the subagent outputs, not additional analysis.

**Paid media**
- Finding 1 (with specific numbers)
- Finding 2 (with specific numbers)
- Finding 3 (with specific numbers)

**Organic**
- Finding 1 (with specific numbers)
- Finding 2 (with specific numbers)
- Finding 3 (with specific numbers)

**Content**
- Finding 1 (with specific numbers)
- Finding 2 (with specific numbers)
- Finding 3 (with specific numbers)

**Retention**
- Finding 1 (with specific numbers)
- Finding 2 (with specific numbers)
- Finding 3 (with specific numbers)

---

#### What to ignore this week

One short paragraph listing the things that look important but are not.
Noise reduction is as valuable as signal detection.

Example: "Organic impressions dropped 12% but average position held
steady — this is a normal seasonal pattern, not a ranking issue.
Do not spend time investigating it."

---

## Tone and output rules

- The intelligence report should take under 4 minutes to read.
- Every number must come from the subagent outputs, which come
  from Dataslayer MCP data. No estimates, no approximations.
- "The one priority" must be specific enough to act on without
  a follow-up question. "Improve retention" is not a priority.
  "Pause the Europe PMax campaign and reallocate €2k/week to
  the Spain campaign while the audience signals are reviewed"
  is a priority.
- If two subagents return conflicting data about the same metric,
  flag it explicitly — it usually means a tracking issue.
- Write in the same language the user is using.

---

## Related skills

- `ds-paid-audit` — for a deep-dive into paid campaigns only
- `ds-channel-report` — for a lighter weekly digest without subagents
- `ds-seo-weekly` — for a focused organic analysis
- `ds-content-perf` — for a detailed content breakdown
- `ds-churn-signals` — for a focused retention analysis

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