Skill Strategy Advisor

Q: What does the Skill Strategy Advisor AI skill do?

基于现有内容数据和画像迭代优化内容策略。分析过去一段时间的内容表现、画像信息、 行业趋势，给出下一阶段的内容方向调整、新赛道建议、内容形式优化、发布节奏调整、 画像微调等策略建议。当用户说"下一步怎么做"、"策略建议"、"怎么调整"、"内容方向"、 "下个月策略"、"优化建议"、"迭代方向"时触发。 和 skill-content-strategy 的区别：content-strategy 从零制定策略， strategy-advisor 基于现有数据做迭代优化。

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ZJU-REAL

skill-strategy-advisor

基于现有内容数据和画像迭代优化内容策略。分析过去一段时间的内容表现、画像信息、行业趋势，给出下一阶段的内容方向调整、新赛道建议、内容形式优化、发布节奏调整、画像微调等策略建议。当用户说"下一步怎么做"、"策略建议"、"怎么调整"、"内容方向"、 "下个月策略"、"优化建议"、"迭代方向"时触发。和 skill-content-strategy 的区别：content-strategy 从零制定策略， strategy-advisor 基于现有数据做迭代优化。

Overview

Publisher	ZJU-REAL
Repository	`Easel`
Skill name	`skill-strategy-advisor`
Stars	3.5K
Forks	535
Bundled files	2
License	Apache-2.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by ZJU-REAL on GitHub. Read the source before you install it.

Installation

Install the Skill Strategy Advisor AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-strategy-advisor
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/ZJU-REAL/Easel.git /tmp/Easel
mkdir -p .claude/skills
cp -r /tmp/Easel/skills/openclaw/skill-strategy-advisor .claude/skills/skill-strategy-advisor

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Strategy Advisor in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Skill Strategy Advisor on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Skill Strategy Advisor is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

策略迭代建议

基于现有内容数据与画像，给出下一阶段的内容策略优化建议。

输入

字段	必填	说明
内容数据摘要	是	过去一段时间的内容表现数据（至少包含标题、平台、核心指标），或复盘报告
时间范围	推荐	数据覆盖的时间段（如"最近 30 天"、"6 月"）
当前策略描述	推荐	现行的内容方向、赛道、发布节奏、主要形式等
目标变化	可选	近期目标是否有变化（如从涨粉转向变现、从单平台转向多平台）
行业/赛道信息	可选	所在行业的近期变化、竞品动向
复盘报告	可选	若已运行过 skill-content-postmortem，可直接引用其输出

若用户仅提供模糊描述（如"最近数据不太好"），引导补充具体数据，但不阻断流程。基于可用信息给出建议，标注置信度。

输出

markdown
# 策略迭代建议：[账号/主题] — [时间段]

## 现状诊断

### 数据总览
| 指标 | 当前值 | 趋势（↑↓→） | 健康度 |
|------|--------|-------------|--------|
| 发布频率 | | | |
| 平均阅读/播放 | | | |
| 平均互动率 | | | |
| 粉丝增长 | | | |
| 爆款率 | | | |

### 核心问题识别
- 问题 1：[具体问题 + 数据支撑]
- 问题 2：...
- 积极信号：[做得好的方面，不能只说问题]

## 策略建议（按优先级排序）

### 1. [最高优先级建议标题]
- **现状**：当前怎么做的
- **问题**：数据说明了什么
- **建议**：具体怎么调整
- **预期效果**：调整后预期的变化
- **执行要点**：落地时的注意事项

### 2. [次优先级建议标题]
...

（共 3-5 条建议）

## 内容方向调整

### 保持的方向
- [表现好的方向 + 原因]

### 加强的方向
- [有潜力但投入不足的方向 + 依据]

### 减少或放弃的方向
- [表现差或 ROI 低的方向 + 替代方案]

### 新赛道探索建议
- [基于数据和趋势推荐的新方向 + 试水方案]

## 内容形式优化
- 格式建议（图文 / 视频 / 直播 / 混合）
- 长度建议
- 发布节奏建议（频率 + 最佳时段）

## 画像微调建议（如有 Profile）
- 定位描述是否需要更新
- 目标受众是否需要调整
- 内容风格是否需要迭代
- 具体修改建议（给出修改前后对比）

## 下一步行动清单
1. 本周立即执行：[1-2 个动作]
2. 两周内完成：[2-3 个调整]
3. 持续观察：[需要跟踪验证的指标]

## 数据局限与假设
- 分析基于的数据范围和质量说明
- 关键假设（如平台算法未大幅变化）

执行步骤

数据摄入与清理
- 接收用户提供的内容数据（CSV、截图、文字描述、复盘报告均可）
- 标准化为统一格式：内容标题、平台、发布时间、核心指标
- 若引用了 skill-content-postmortem 的输出，直接复用其分析结论
现状诊断
- 计算核心指标的均值、趋势、波动
- 识别表现异常点（突增突降）
- 对照 references/platform-benchmarks.md 判断账号健康度
- 标记正面信号和问题信号
归因分析
- 交叉分析：哪些内容方向 x 内容形式的组合表现最好/最差
- 时间维度：趋势是在好转还是恶化
- 外部因素：是否有平台规则变化、行业热点、季节因素的影响
趋势与机会扫描
- 基于赛道信息，判断行业内容趋势变化
- 识别用户数据中的潜在增长方向（有苗头但未放大的信号）
- 结合平台最新的流量倾斜方向（如平台近期推什么格式）
策略生成
- 生成 3-5 条策略建议，每条包含：现状、问题、建议、预期效果、执行要点
- 按预期影响力排序（高影响 + 低执行难度优先）
- 确保建议具体可执行，不写"提高内容质量"这类空话
方向调整矩阵
- 将现有内容方向分为四象限：保持 / 加强 / 减少 / 新增
- 每个方向的调整都有数据支撑
- 新赛道建议附带低成本试水方案（如"先发 3 条测试反馈"）
画像微调（有 Profile 时）
- 比对数据表现与 Profile 中的定位描述
- 若数据显示受众/风格/方向与 Profile 不符，给出微调建议
- 提供修改前后对比，而非只说"需要调整"
输出与交付
- 按输出模板生成完整报告
- 生成行动清单（本周 / 两周内 / 持续观察）
- 保存到 outputs/

Profile 感知

有 Profile 时：

读取 identity.md（赛道定位）、platforms.md（当前主攻平台）、audience.md（受众画像）、preferences.md（变现/商业化偏好）
策略建议对齐 Profile 中的长期目标（不会为了短期数据建议偏离账号定位）
画像微调：当数据表现与 Profile 定义出现偏差时，明确指出并给出修改建议
分阶段建议：冷启动期侧重"找到有效方向"，增长期侧重"放大优势"，变现期侧重"转化效率"

无 Profile 时：

退到通用模式，基于数据本身做诊断和建议
不做"是否偏离定位"的判断（因为不知道定位是什么）
不输出画像微调部分
建议用户创建 Profile 以获得更精准的策略迭代

自研溯源与参考项目见同目录 EASEL-META.md。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

EASEL-META.md1 KB
references/platform-benchmarks.md2 KB

Frequently asked questions

What does the Skill Strategy Advisor AI skill do?

Why use Skill Strategy Advisor on TypingMind?

Because you install it once and use it with any model. Skill Strategy Advisor is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Skill Strategy Advisor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-strategy-advisor. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Skill Strategy Advisor?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Skill Strategy Advisor?

As many as you like. As long as a model supports skills, you can use Skill Strategy Advisor with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Skill Strategy Advisor AI skill free?

Yes. It is published on GitHub by ZJU-REAL under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

策略迭代建议

输入

输出

执行步骤

Profile 感知

Bundled files

Frequently asked questions

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