Yao Positioning Skill

CommunityPopular

yaojingang

yao-positioning-skill

Generate evidence-aware positioning reports for personal IPs, courses, products, services, brands, or companies by combining positioning theory, course-marketing analysis, user intent, competitor research, market demand, and verifiable advantages. Use when users ask for 定位、差异化分析、优势分析、心智定位、品类定位、竞品定位研究、定位报告或再定位建议. Do not use for slogan-only copywriting, generic marketing ideas, standalone market research without a positioning recommendation, or brand knowledge-base construction.

Overview

Publisher	yaojingang
Repository	`yao-open-skills`
Skill name	`yao-positioning-skill`
Stars	1.3K
Forks	149
Bundled files	34
License	MIT
Links	Skill source Repository

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.
34 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by yaojingang on GitHub. Read the source before you install it.

Installation

Install the Yao Positioning Skill 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.
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/yaojingang/yao-open-skills.git /tmp/yao-open-skills
mkdir -p .claude/skills
cp -r /tmp/yao-open-skills/skills/yao-positioning-skill .claude/skills/yao-positioning-skill

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

Use it in TypingMind

Enable Yao Positioning Skill 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 Yao Positioning Skill 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 Yao Positioning Skill 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.

定位分析与报告

Owned Job

为个人、课程、产品、服务或品牌生成定位报告。
研究五类竞争参照。
比较 2 至 3 套方案并推荐或降级。

Workflow

按 references/intake-and-readiness-gate.md 接受问答、附件或 URL，整理符合 templates/intake-brief.schema.json 的 intake-brief.json，运行 python3 scripts/validate-intake.py intake-brief.json。
仅当校验返回 intake_ready 才开始检索；否则停止并使用返回的缺失项与示例，每轮追问 1 至 3 个问题。开始前回显对象、目的、范围、已收资料、自述项和待核验项。
选择 local、standard 或 deep 研究模式。需要当前竞品、价格或市场事实时必须联网核验。
读取 references/theory-system.md。个人 IP 或课程任务再读 references/course-marketing-method.md。
按 references/ai-workflow.md 建立主张清单、竞争集合、研究计划和证据台账。
按 references/source-credibility-policy.md 区分事实、自述、推断、假设和建议；来源必须通过权威性、主张适配、直接性、时效性、独立性和市场适配检查。
按 references/competitor-research-method.md 研究竞争与心智位置。禁止把“未发现公开证据”写成“不存在”。
按 references/demand-and-differentiation-method.md 分析需求、市场空位和 D6 优势，执行否决规则。
通过诊断与推荐门槛后生成 2 至 3 套定位方案并压力测试，只推荐一套；不通过时只输出初步观察和补证计划。
按 references/plain-language-positioning-method.md 生成通俗的心智快照，再进入可视化报告。
先生成符合 templates/report-data.schema.json 的 JSON，再运行 python3 scripts/validate-report-data.py positioning-report-data.json。
校验通过后运行 python3 scripts/render-report.py positioning-report-data.json --out positioning-report。
运行 python3 scripts/review-report.py positioning-report，修复语义、图表、移动端、打印和跨格式回归；不得通过删证据或升级置信度消除警告。
按 references/report-contract.md 核对 HTML、JSON、Markdown 的结论、指标和引用一致性。模板或图表变更再按 references/report-review-method.md 执行三视口与 A4 PDF 栅格化审校。

Downgrade Rules

研究就绪门槛未通过：只补信息，不检索竞品、不生成方案。
诊断门槛未通过：只输出初步观察和补证计划。
无法访问外部资料且用户未提供竞品：进入本地证据模式，输出补证清单。
没有用户需求证据：不得宣称市场空位。
没有可证明优势：输出能力建设建议，不制造差异化标签。
涉及第一、唯一、领先或效果承诺：要求独立证据和合规审查。

Output Contract

默认交付：

positioning-report.html：离线可视化决策报告。
positioning-report-data.json：唯一结构化事实源。
positioning-report.md：无脚本降级版与审计记录。

先用一页心智快照说清结论，再提供需求、竞争、优势、方案、行动、风险、证据和验证计划。个人 IP 或课程增加四层一致性，课程再增加行动路径、4P 与课程机制。缺失数据展示“证据不足”，不得伪造图表或总分。

交付前 review-report.py 必须通过。来源时效和证据警告可保留，但必须在报告和审校结果中可见；零警告交付使用 --strict。

Reference Map

理论：references/theory-system.md、references/plain-language-positioning-method.md、references/course-marketing-method.md
执行：references/intake-and-readiness-gate.md、references/ai-workflow.md
研究：references/source-credibility-policy.md、references/competitor-research-method.md
分析：references/demand-and-differentiation-method.md
交付：references/report-contract.md、references/report-review-method.md、references/html-report-spec.md、references/metric-dictionary.md
渲染资产：assets/report-template.html、assets/echarts.min.js
系统说明：reports/positioning-skill-system-overview-2026-07-16/index.html
分发净化：scripts/sanitize-package.py（仅在重建 ZIP 后执行）

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 Yao Positioning Skill AI skill do?

Why use Yao Positioning Skill on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yaojingang/yao-open-skills/tree/main/skills/yao-positioning-skill. 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 Yao Positioning Skill?

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 Yao Positioning Skill?

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

Is the Yao Positioning Skill AI skill free?

Yes. It is published on GitHub by yaojingang under the MIT 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

定位分析与报告

Owned Job

Workflow

Downgrade Rules

Output Contract

Reference Map

Bundled files

Frequently asked questions

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