Agent skill

Product Neutral Advisor

by digoal in digoal/blog

以第三方中立顾问身份,围绕某个产品近1个月内的最新动态,撰写适合公众号发布的简短深度文章(不超过4屏). An agent skill from digoal/blog.

GPL-2.0Auto-check passedDocuments & Office

Install Product Neutral Advisor

skills CLI
$ npx skills add digoal/blog --skill product-neutral-advisor -a claude-code

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

GitHub CLI
$ gh skill install digoal/blog product-neutral-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/digoal/blog.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skills_for_claude_web/product-neutral-advisor .claude/skills/product-neutral-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
product-neutral-advisor
GitHub stars
8.6k
Token cost
~627 tokens
SKILL.md length
100 words
Files
1
Skills in repo
98
Repo updated
First seen
Licence
GPL-2.0

At a glance

以第三方中立顾问身份,围绕某个产品近1个月内的最新动态,撰写适合公众号发布的简短深度文章(不超过4屏). An agent skill from digoal/blog.

  • Works in 5 steps: :理解目标产品 → :搜索近1个月动态 → :构建顾问视角 → …
  • Tasks that involve Markdown
  • SKILL.md covers 工作流程, 写作风格示例, 中立性校验(写完后自检) and 图表使用指南
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Product Neutral Advisor is an agent skill from digoal/blog. 以第三方中立顾问身份,围绕某个产品近1个月内的最新动态,撰写适合公众号发布的简短深度文章(不超过4屏)。 触发条件:用户输入产品名称并希望生成顾问视角的分析文章,提到"帮我写篇XX的文章"、"分析一下XX最近的动态"、"以顾问角度写XX"、"产品影响力文章"、"公众号文章"、"帮我写XX的点评"、"XX最近怎么样"等。 即使用户只说"帮我写一篇关于XX的文章",只要意图是产品评析,也应使用本 skill。 输出为 Markdown 文件,保存到当前项目 markdown/ 目录,适合手机端阅读,第一人称,中立有据,无AI生成痕迹。

Its SKILL.md is about 630 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Documents & Office, covering Markdown. The repository describes itself as: AI,Opensource,Database,Business,Finance,Minds. git clone --depth 1 https://github.com/digoal/blog. The licence is GPL-2.0.

When your agent uses it

  • Tasks that involve Markdown

Example prompts

  • “帮我写篇XX的文章”
  • “分析一下XX最近的动态”
  • “以顾问角度写XX”
  • “/product-neutral-advisor”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. :理解目标产品
  2. :搜索近1个月动态
  3. :构建顾问视角
  4. :撰写文章
  5. :保存文件

What it can do on your machine

Read from SKILL.md and the folder at commit ad6fcb7. 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 mermaid).

    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

Product Neutral Advisor loads about 627 tokens when it runs. Until then it costs about 73 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
~73
When it runs · the whole SKILL.md, loaded when a task matches
~627

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 digoal/blog at commit ad6fcb7, republished under its GPL-2.0 licence (© digoal). 100 words, ~627 tokens.

Download SKILL.mdSave it as .claude/skills/product-neutral-advisor/SKILL.md (or your agent's skills folder).
name
product-neutral-advisor
description
以第三方中立顾问身份,围绕某个产品近1个月内的最新动态,撰写适合公众号发布的简短深度文章(不超过4屏)。 触发条件:用户输入产品名称并希望生成顾问视角的分析文章,提到"帮我写篇XX的文章"、"分析一下XX最近的动态"、"以顾问角度写XX"、"产品影响力文章"、"公众号文章"、"帮我写XX的点评"、"XX最近怎么样"等。 即使用户只说"帮我写一篇关于XX的文章",只要意图是产品评析,也应使用本 skill。 输出为 Markdown 文件,保存到当前项目 markdown/ 目录,适合手机端阅读,第一人称,中立有据,无AI生成痕迹。

Product Neutral Advisor Skill

以第三方中立顾问身份,基于近1个月内的真实新闻与数据,撰写兼具洞察力与可读性的公众号文章,目的是提升目标产品的技术影响力,但不粉饰、不捧杀,保持真实判断。


工作流程

Step 1:理解目标产品

确认以下信息(可从用户输入推断,不足时直接假设合理默认值,不要反复追问):

  • 产品名称(必须)
  • 重点角度(可选):技术突破 / 生态扩张 / 商业落地 / 竞争格局 / 社区反馈 等
Step 2:搜索近1个月动态

使用 web_search 搜索以下维度的信息,每次搜索时间限定在最近30天内:

搜索策略(依次执行,每项至少1次搜索):
1. "[产品名] 最新动态 2025"
2. "[产品名] news release 2025"(英文搜索)
3. "[产品名] 技术更新 / 版本发布 / 性能测评"
4. "[产品名] 竞品对比 / 市场份额 / 用户反馈"
5. 如有必要,补充搜索:"[产品名] 争议 / 不足 / 问题"(确保中立)

收集 3-6 条 有价值的事实、数据或引用,标记来源。

⚠️ 注意:只引用有据可查的信息,不臆造数据。对于搜索不到的维度,在文章中跳过而非编造。

Step 3:构建顾问视角

在写作前,先在脑中回答:

  • 这个产品处于行业哪个位置?头部 / 挑战者 / 细分王者?
  • 近期最值得关注的1-2个信号是什么?
  • 它的核心优势和真实短板各是什么?
  • 未来6-12个月,最可能发生什么变化?

顾问的价值 = 独立判断 + 信息优势 + 不怕说真话

Step 4:撰写文章
写作规范
项目要求
视角第一人称,仅代表个人观点
身份不在文中透露"顾问"、"AI"等标签
长度≤ 4屏手机屏幕(约800-1200字)
语气克制、精准、有态度但不偏激
结构自然段落,非条目列表堆砌
图表如有必要,用 SVG / Mermaid / ASCII 辅助说明
格式Markdown,适配移动端阅读
文章结构参考(灵活变通,不要生搬硬套)
【开头】(50-80字)
  - 用一个近期真实事件或数据切入,不用"近年来""随着XX发展"等套话
  - 直接进入核心观察

【主体一:近期最重要的信号】(200-300字)
  - 讲清楚1个最值得关注的最新动态
  - 加入自己的判断:这意味着什么?为什么重要?

【主体二:冷静看另一面】(150-250字)
  - 指出真实的局限、风险或未解问题
  - 语气可以是"但我个人认为……""也有一点值得注意……"
  - 不捧杀,不唱衰

【结尾】(100-150字)
  - 给出前瞻判断:接下来最值得观察的1个指标或事件
  - 结尾留有余地,不下死结论
禁止事项
  • ❌ 不用 "总之" "综上所述" "不得不说" 等套话结尾
  • ❌ 不出现 "作为一名AI" "根据我的分析" 等AI痕迹
  • ❌ 不堆砌数字列表(每段尽量用自然语言叙述)
  • ❌ 不在无据可查时编造数据
  • ❌ 不过度使用加粗(只在关键词处使用,全文不超过5处)
  • ❌ 文章开头不要出现标题(markdown格式里一级标题即可,正文从第一段开始)
Step 5:保存文件
输出路径:./markdown/[产品名]-advisor-[YYYYMMDD].md
  • 文件名用产品英文名或拼音,日期为今天
  • 同时在对话中输出文章全文,方便用户预览

写作风格示例

错误示范(AI腔):

随着人工智能技术的快速发展,XX产品凭借其卓越的技术优势,在激烈的市场竞争中脱颖而出……

正确示范(顾问腔):

上个月,XX悄悄更新了一个功能,大多数人没注意到,但我觉得这可能是今年最值得关注的一步棋。


中立性校验(写完后自检)

在输出前,逐项确认:

  • 文章中是否既有正面观察,也有局限性指出?
  • 所有数据/事件是否有搜索结果支撑?
  • 是否避免了"业界领先""生态完善"等空洞溢美词?
  • 结论是否留有空间,而非下死断言?
  • 读起来是否像一个有见识的真实人写的,而非模板填空?

全部 ✅ 才可输出。


图表使用指南

只在以下情况使用图表,不滥用:

Mermaid(流程/架构关系)

mermaid
graph LR
  A[用户] --> B[产品层] --> C[底层技术]

ASCII(简单对比/时间线)

2024Q4 ──▶ 发布X功能
2025Q1 ──▶ 集成Y生态  ← 当前
2025Q2 ──▶ ?

SVG:仅在需要展示数据趋势或视觉对比时使用,保持简洁。

© digoal, GPL-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

Just SKILL.md in skills/skills_for_claude_web/product-neutral-advisor of digoal/blog.

Open the folder on GitHubat commit ad6fcb7

Compare with similar skills

Product Neutral 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.

Product Neutral Advisor compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Product Neutral Advisor this skilldigoal/blog8.6k—~627Automated safety check: PassGPL-2.0
Markdown Article FormatterJimLiu/baoyu-skills27k6 repos~3.5kAutomated safety check: PassMIT
MarkitdownImCa0/just-laws78114 repos~3.2kAutomated safety check: NotesMIT
Obsidian MarkdownAtmosphere/atmosphere3.8k20 repos~1.3kAutomated safety check: PassApache-2.0
Crosspostingwasp-lang/wasp19k—~1.1kAutomated safety check: PassMIT
Gzh Designisjiamu/gzh-design-skill4k—~2.2kAutomated safety check: PassAGPL-3.0

Similar skills

  • Markdown Article Formatter

    JimLiu/baoyu-skills

    Reformats plain text or Markdown articles with frontmatter, a title, a summary, headings, bold, lists and code blocks, and saves a separate formatted copy.

    27k GitHub starsUsed in 6 repos~3.5k tokens
    Documents & OfficeAuto-check passed
  • Markitdown

    ImCa0/just-laws

    Convert files and office documents to Markdown. An agent skill from ImCa0/just-laws.

    781 GitHub starsUsed in 14 repos~3.2k tokens
    Documents & OfficeAuto-check: notes
  • Obsidian Markdown

    Atmosphere/atmosphere

    Create and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, properties, and other Obsidian-specific syntax.

    3.8k GitHub starsUsed in 20 repos~1.3k tokens
    Documents & OfficeAuto-check passed
  • Crossposting

    wasp-lang/wasp

    Crosspost Wasp blog articles (MDX) to DEV.to and Medium. An agent skill from wasp-lang/wasp.

    19k GitHub stars~1.1k tokensUpdated yesterday
    Documents & OfficeAuto-check passed
  • Gzh Design

    isjiamu/gzh-design-skill

    微信公众号文章排版引擎,将 Markdown 转换为可直接粘贴到公众号编辑器的 HTML。主题风格从 references/theme-index.md 注册的自定义主题库中选取,自动章节编号、关键词下划线标记、引言卡片、目录导航、代码块、图片/GIF、作者签名。支持 Markdown / Word(.docx) / PDF / 纯文本输入(非 Markdown…

    4k GitHub stars~2.2k tokensUpdated yesterday
    Documents & OfficeAuto-check passed
  • Review The Docs

    supabase/supabase

    Official

    Review Supabase docs changes locally in your supabase/supabase checkout — either an open PR (triage, classify, verify) or your own branch before opening a PR (local self-review).

    111k GitHub stars~4.6k tokensUpdated today
    Documents & OfficeAuto-check passed

More from digoal/blog

All 98 skills in this repo
  • 三层审查模型,逐段逐句验证文章真伪、证据链与逻辑结构。Use when the user asks to fact-check, verify, audit, or evaluate the credibility of an article, essay, report, opinion piece, social-media post, or any written claim —…

    8.6k GitHub stars~939 tokensUpdated yesterday
    Auto-check passed
  • Find latent bugs in a local PostgreSQL source tree (RELxxSTABLE branch or HEAD) the way a core hacker does: build a heavily-poisoned debug instance (cassert + cache-discard + -O0/-ggdb3 + core…

    8.6k GitHub stars~4k tokensUpdated yesterday
    Auto-check passed
  • Digoal

    digoal/blog

    Portable digital employee distilled from digoal's personal blog for PostgreSQL, PolarDB, DuckDB, AI+database, vector/RAG, database operations, source-code reading, technical content creation…

    8.6k GitHub stars~2.2k tokensUpdated yesterday
    Auto-check passed
  • 从论文 PDF 文件或论文 PDF URL 生成通俗易懂、图文并茂、带批判性评估的中文 Markdown 解读,并保存到当前项目的 markdown 目录。Use when the user asks to interpret,精读,解读,summarize,explain,analyze, or write an article from an academic paper PDF…

    8.6k GitHub stars~1.5k tokensUpdated yesterday
    Auto-check passed
  • Analyze a product from documentation, websites, PDFs, articles, release notes, pricing pages, app listings, reviews, filings, or related links; save separate intermediate analyses from seven roles…

    8.6k GitHub stars~1.8k tokensUpdated yesterday
    Auto-check passed
  • Turn a blog post, article, notes, or any source material into a set of vertical poster images — one cover plus several coherent content slides that explain the core points.

    8.6k GitHub stars~1.4k tokensUpdated yesterday
    Auto-check passed

Questions about Product Neutral Advisor

What does Product Neutral Advisor do?

以第三方中立顾问身份,围绕某个产品近1个月内的最新动态,撰写适合公众号发布的简短深度文章(不超过4屏). An agent skill from digoal/blog. Product Neutral Advisor is an agent skill from digoal/blog.

When should I use Product Neutral Advisor?

Product Neutral Advisor fits situations like: tasks that involve Markdown.

How do I install Product Neutral Advisor in Claude Code?

Run `npx skills add digoal/blog --skill product-neutral-advisor -a claude-code`. Or copy the skill folder (skills/skills_for_claude_web/product-neutral-advisor in digoal/blog) into .claude/skills/product-neutral-advisor in your project. Claude Code loads it when a task matches its description.

How do I install Product Neutral Advisor in Codex?

Run `npx skills add digoal/blog --skill product-neutral-advisor -a codex`. Or copy the skill folder (skills/skills_for_claude_web/product-neutral-advisor in digoal/blog) into .agents/skills/product-neutral-advisor in your project. Codex loads it when a task matches its description.

Can I use Product Neutral 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 digoal/blog --skill product-neutral-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/product-neutral-advisor, .gemini/skills/product-neutral-advisor, .github/skills/product-neutral-advisor and .opencode/skills/product-neutral-advisor in your project.

What does Product Neutral Advisor need to run?

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

Does Product Neutral 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 Product Neutral 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 Product Neutral Advisor use?

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

How many tokens does Product Neutral Advisor use?

About 627 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Product Neutral Advisor?

Skills that share tags, products or a category with Product Neutral Advisor: Markdown Article Formatter (JimLiu/baoyu-skills, 27k stars), Markitdown (ImCa0/just-laws, 781 stars), Obsidian Markdown (Atmosphere/atmosphere, 3.8k stars) and Crossposting (wasp-lang/wasp, 19k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Product Neutral Advisor?

digoal (a GitHub user) maintains it in digoal/blog, which has 8,588 GitHub stars. The repository holds 98 skills in this directory. The repository was last updated on October 9, 2026.

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