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Skill Positioning Analysis

OrganizationPopular
ZJU-REAL
skill-positioning-analysis

差异化定位分析:帮账号/品牌找到差异化定位——扫描赛道、给竞品定位坐标、识别空白机会、 从人群/场景/价值/形式/人设多维找差异点,凝练一句话定位并给落地建议。当用户说"差异化定位" "怎么和竞品区分""我的定位是什么""找差异化""赛道分析""定位分析""怎么突出""同质化怎么办" "找我的独特点"时使用。

Overview

PublisherZJU-REAL
RepositoryEasel
Skill nameskill-positioning-analysis
Stars
3.5K
Forks
535
Bundled files
2
LicenseApache-2.0
Links
  • 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 Positioning Analysis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-positioning-analysis
  4. 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.
2

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-positioning-analysis .claude/skills/skill-positioning-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Positioning Analysis 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 Positioning Analysis 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 Positioning Analysis 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.

差异化定位分析(positioning-analysis)

找到"我和别人不一样、且用户需要"的位置。领域方法在 references/positioning-frameworks.md, 本文件只讲流程。定义方法与模型,不套具体案例。

竞品拆解见 skill-competitor-analysis(数据/爆款);人设声音见 skill-voice-builder; 本 SKILL 专做差异化定位的分析与凝练(competitor-analysis 偏数据,本 SKILL 偏战略定位)。

输入

字段必填说明
自己账号是赛道、内容、受众、优势(有 Profile 直接读)
竞品/对标推荐3-5 个对标账号及其特点(没有则据赛道常识推演,并说明是推演)
目标可选想主打的方向(涨粉/带货/专业影响力等)

执行步骤

  1. 赛道扫描:明确所在细分赛道、主流玩家的共性打法(读 references/positioning-frameworks.md 「一、赛道扫描」),找出这个赛道"大家都在做什么"。
  2. 竞品定位坐标:按「二、定位坐标法」选两个关键维度(如 专业↔娱乐 / 高端↔平价 / 硬核↔日常) 画二维坐标,把竞品摆上去,看聚集区与空白区。
  3. 识别空白机会:按「三、蓝海机会识别」找 需求存在但供给不足 的位置(人群空白/场景空白/ 价值空白/形式空白),排除伪空白(没人做是因为没需求)。
  4. 多维差异化:按「四、差异化五维」逐维找差异点——人群细分 / 使用场景 / 核心价值 / 内容形式 / 人设风格,选 1-2 个最可持续、最难被模仿的作为主差异点。
  5. 凝练一句话定位:按「五、一句话定位公式」输出 为[人群]在[场景]提供[独特价值]的[品类/角色], 要求具体、可记、可验证。
  6. 落地建议:定位如何体现在 选题/风格/视觉/人设 上(差异点要在内容里持续可感知), 并给"如何验证定位是否成立"的信号。
  7. 输出:赛道共性 → 定位坐标(竞品分布+空白)→ 差异化主张(多维)→ 一句话定位 → 落地建议 → 风险。

Profile 感知

  • 有 Profile:自己账号信息直接读 identity.md/audience.md/style.md;定位建议与既有优势/受众一致, 不给"推倒重来"式脱离现状的定位;差异点落到 style.md 可执行。
  • 无 Profile:先让用户给赛道+对标+优势,或据赛道常识推演并明确标注为推演,末尾提示补 Profile 精化。

规则

  1. 差异化 = 不同 且 有需求 且 你能持续做到,三者缺一不可(只不同不叫定位,叫小众自嗨)。
  2. 定位坐标至少用两个能区分竞品的维度,避免选无区分度的维度。
  3. 一句话定位必须具体可验证,拒绝"更好/更专业/更用心"这类无差异空话。
  4. 差异点要能在内容中被用户持续感知,否则是纸面定位。
  5. 尊重账号现状与优势,给"从现有基础差异化"的路径,不空谈理想定位。

参考来源

沉淀自定位理论(差异化、心智占位)、蓝海战略(价值曲线/空白机会)、用户细分(人群-场景-价值) 等通用方法,落地到内容账号定位。框架化为可复用模型,不绑定具体品牌案例。

Bundled files

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

Frequently asked questions

What does the Skill Positioning Analysis AI skill do?

差异化定位分析:帮账号/品牌找到差异化定位——扫描赛道、给竞品定位坐标、识别空白机会、 从人群/场景/价值/形式/人设多维找差异点,凝练一句话定位并给落地建议。当用户说"差异化定位" "怎么和竞品区分""我的定位是什么""找差异化""赛道分析""定位分析""怎么突出""同质化怎么办" "找我的独特点"时使用。

Why use Skill Positioning Analysis on TypingMind?

Because you install it once and use it with any model. Skill Positioning Analysis 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 Positioning Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-positioning-analysis. 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 Positioning Analysis?

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 Positioning Analysis?

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

Is the Skill Positioning Analysis 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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