Agent skill

Skill Positioning Analysis

by ZJU-REAL in ZJU-REAL/Easel

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。

Apache-2.0Auto-check passedMarketing & SEO

Install Skill Positioning Analysis

skills CLI
$ npx skills add ZJU-REAL/Easel --skill skill-positioning-analysis -a claude-code

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

GitHub CLI
$ gh skill install ZJU-REAL/Easel skill-positioning-analysis --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-positioning-analysis .claude/skills/skill-positioning-analysis && 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-positioning-analysis
GitHub stars
3.4k
Token cost
~439 tokens
SKILL.md length
100 words
Files
3 (incl. references)
Skills in repo
114
Repo updated
First seen
Licence
Apache-2.0

At a glance

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。

  • Works in 7 steps: 赛道扫描:明确所在细分赛道、主流玩家的共性打法(读… → 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… → 识别空白机会:按「三、蓝海机会识别」找 需求存在但供给不足… → …
  • Tasks that involve Positioning and messaging
  • SKILL.md covers 输入, 执行步骤, Profile 感知 and 规则, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Skill Positioning Analysis is an agent skill from ZJU-REAL/Easel. 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。

Its SKILL.md is about 440 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/positioning-frameworks.md`).

It sits in Marketing & SEO, covering Positioning and messaging. 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 Positioning and messaging

Example prompts

  • “怎么和竞品区分”
  • “我的定位是什么”
  • “同质化怎么办”
  • “/skill-positioning-analysis”

Workflow steps

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

  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
  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)
  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/
  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 /
  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],
  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),
  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。

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.

    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 Positioning Analysis loads about 439 tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 46 tokens; SKILL.md has 100 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~46
When it runs · the whole SKILL.md, loaded when a task matches
~439
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.4k

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). 100 words, ~439 tokens.

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

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。

© 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-positioning-analysis of ZJU-REAL/Easel.

  • SKILL.md
  • EASEL-META.md
  • references/positioning-frameworks.md

Open the folder on GitHubat commit 278f420

Compare with similar skills

Skill Positioning Analysis 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.

Skill Positioning Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Skill Positioning Analysis this skillZJU-REAL/Easel3.4k—~439Automated safety check: PassApache-2.0
Marketing OsYuzzyuk/marketing-os540—~2.5kAutomated safety check: PassMIT
Revenue Centric Designheliocosta-dev/revenue-centric-design740—~1.6kAutomated safety check: PassCustom licence
Startup Positioningferdinandobons/startup-skill1.2k—~4.6kAutomated safety check: PassMIT
Stanley Druckenmiller Investmenttradermonty/claude-trading-skills3k1 repos~2kAutomated safety check: PassMIT
B2b Playbookweilun88313/B2B-Playbook203—~3.1kAutomated safety check: PassProprietary

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Categories

Questions about Skill Positioning Analysis

What does Skill Positioning Analysis 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。. Skill Positioning Analysis is an agent skill from ZJU-REAL/Easel.

When should I use Skill Positioning Analysis?

Skill Positioning Analysis fits situations like: tasks that involve Positioning and messaging.

How do I install Skill Positioning Analysis in Claude Code?

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

How do I install Skill Positioning Analysis in Codex?

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

Can I use Skill Positioning Analysis 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-positioning-analysis -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-positioning-analysis, .gemini/skills/skill-positioning-analysis, .github/skills/skill-positioning-analysis and .opencode/skills/skill-positioning-analysis in your project.

What does Skill Positioning Analysis need to run?

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

Does Skill Positioning Analysis 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 Positioning Analysis 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 Positioning Analysis use?

Skill Positioning Analysis 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 Positioning Analysis use?

About 439 tokens (SKILL.md is roughly 1.8k 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 954 tokens, read only when the agent opens those files.

What are the alternatives to Skill Positioning Analysis?

Skills that share tags, products or a category with Skill Positioning Analysis: Marketing Os (Yuzzyuk/marketing-os, 540 stars), Revenue Centric Design (heliocosta-dev/revenue-centric-design, 740 stars), Startup Positioning (ferdinandobons/startup-skill, 1.2k stars) and Stanley Druckenmiller Investment (tradermonty/claude-trading-skills, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Positioning Analysis?

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.