Agent skill

Skill Strategy Advisor

by ZJU-REAL in ZJU-REAL/Easel

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。

Apache-2.0Auto-check passedWriting & Content

Install Skill Strategy Advisor

skills CLI
$ npx skills add ZJU-REAL/Easel --skill skill-strategy-advisor -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ZJU-REAL/Easel skill-strategy-advisor --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openclaw/skill-strategy-advisor .claude/skills/skill-strategy-advisor && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
skill-strategy-advisor
GitHub stars
3.4k
Token cost
~717 tokens
SKILL.md length
120 words
Files
3 (incl. references)
Skills in repo
114
Repo updated
First seen
Licence
Apache-2.0

At a glance

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。

  • Works in 8 steps: 数据摄入与清理 → 现状诊断 → 归因分析 → …
  • Tasks that involve Content strategy
  • SKILL.md covers 输入, 输出, 执行步骤 and Profile 感知
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Skill Strategy Advisor is an agent skill from ZJU-REAL/Easel. 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。

Its SKILL.md is about 720 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `EASEL-META.md` and `references/platform-benchmarks.md`).

It sits in Writing & Content, covering Content strategy. The repository describes itself as: An open-source AI agent for social media — discover trends, create content, publish everywhere, and learn what works across Xiaohongshu, Douyin, Zhihu, Bilibili, and more.🎨一个开源的… The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Content strategy

Example prompts

  • “下一步怎么做”
  • “/skill-strategy-advisor”

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. 数据摄入与清理
  2. 现状诊断
  3. 归因分析
  4. 趋势与机会扫描
  5. 策略生成
  6. 方向调整矩阵
  7. 画像微调(有 Profile 时)
  8. 输出与交付

What it can do on your machine

Read from SKILL.md and the folder at commit 278f420. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Skill Strategy Advisor loads about 717 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 64 tokens; SKILL.md has 120 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~717
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ZJU-REAL/Easel at commit 278f420, republished under its Apache-2.0 licence (© ZJU-REAL). 120 words, ~717 tokens.

Download SKILL.mdSave it as .claude/skills/skill-strategy-advisor/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
skill-strategy-advisor
description
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。
layer
attribute

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

  1. 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
  2. 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
  3. 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
  4. 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)
  5. 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
  6. 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")
  7. 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"
  8. 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。

© ZJU-REAL, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in skills/openclaw/skill-strategy-advisor of ZJU-REAL/Easel.

  • SKILL.md
  • EASEL-META.md
  • references/platform-benchmarks.md

Open the folder on GitHubat commit 278f420

Compare with similar skills

Skill Strategy Advisor next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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WeChat Hot Article AnalysisSpaceZephyr/creator-buddy1.6k—~847Automated safety check: PassNone
Brand Voice Content Creatordavila7/claude-code-templates33k3 repos~1.9kAutomated safety check: PassMIT

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Questions about Skill Strategy Advisor

What does Skill Strategy Advisor 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。. Skill Strategy Advisor is an agent skill from ZJU-REAL/Easel.

When should I use Skill Strategy Advisor?

Skill Strategy Advisor fits situations like: tasks that involve Content strategy.

How do I install Skill Strategy Advisor in Claude Code?

Run `npx skills add ZJU-REAL/Easel --skill skill-strategy-advisor -a claude-code`. Or copy the skill folder (skills/openclaw/skill-strategy-advisor in ZJU-REAL/Easel) into .claude/skills/skill-strategy-advisor in your project. Claude Code loads it when a task matches its description.

How do I install Skill Strategy Advisor in Codex?

Run `npx skills add ZJU-REAL/Easel --skill skill-strategy-advisor -a codex`. Or copy the skill folder (skills/openclaw/skill-strategy-advisor in ZJU-REAL/Easel) into .agents/skills/skill-strategy-advisor in your project. Codex loads it when a task matches its description.

Can I use Skill Strategy Advisor in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ZJU-REAL/Easel --skill skill-strategy-advisor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-strategy-advisor, .gemini/skills/skill-strategy-advisor, .github/skills/skill-strategy-advisor and .opencode/skills/skill-strategy-advisor in your project.

What does Skill Strategy Advisor need to run?

SKILL.md names no scripts, command-line tools or credentials: Skill Strategy Advisor is instructions for the agent only.

Does Skill Strategy Advisor access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Skill Strategy Advisor safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Skill Strategy Advisor use?

Skill Strategy Advisor is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skill Strategy Advisor use?

About 717 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 538 tokens, read only when the agent opens those files.

What are the alternatives to Skill Strategy Advisor?

Skills that share tags, products or a category with Skill Strategy Advisor: Blogger Distiller (otter1101/blogger-distiller, 701 stars), Linkedin Content Planner (sergebulaev/linkedin-skills, 4.4k stars), Blog Post Drafting (luongnv89/claude-howto, 42k stars) and WeChat Hot Article Analysis (SpaceZephyr/creator-buddy, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Strategy Advisor?

ZJU-REAL (a GitHub organization) maintains it in ZJU-REAL/Easel, which has 3,376 GitHub stars. The repository holds 114 skills in this directory. The repository was last updated on October 9, 2026.

Source: ZJU-REAL/Easel on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.