skill-positioning-analysis SKILL.md skillA
skill-positioning-analysis from zju-real/easel is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add zju-real/easel/skill-positioning-analysis@git:20261012.0d53744Pins git:20261012.0d53744 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- zju-real/easel
- Path
skills/builtin/skill-positioning-analysis/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261012.0d53744, committed Oct 12, 2026
- Size
- 3,853 bytes
- Repository stars
- 4,469
- License
- Apache-2.0
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。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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。 …
Read the whole file at its exact version.
How to install
mdr add zju-real/easel/skill-positioning-analysis@sha256:5514307c88bb82dbThe line at the top of this page pins the label git:20261012.0d53744, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_umnq5vh4xj5wvbv6)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 12, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (3853 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
zju-real/easel · 4,469 stars · license Apache-2.0 · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_umnq5vh4xj5wvbv6 GET https://markdownregistry.com/api/v1/resolve?ref=zju-real/easel/skill-positioning-analysis GET https://markdownregistry.com/api/v1/blob/5514307c88bb82db9a67787899a1b4040f6a35d03389a93a9680fe407a8b436e
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.