Agent skill

Industry News Insight

by digoal in digoal/blog

Generate a concise Chinese WeChat-ready Markdown article from an industry name by searching current news from the last month, verifying evidence across production, demand, inputs, ecosystem, policy…

GPL-2.0Auto-check passedProductivity & Automation

Install Industry News Insight

skills CLI
$ npx skills add digoal/blog --skill industry-news-insight -a claude-code

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

GitHub CLI
$ gh skill install digoal/blog industry-news-insight --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/industry-news-insight .claude/skills/industry-news-insight && 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
industry-news-insight
GitHub stars
8.6k
Token cost
~1.2k tokens
SKILL.md length
553 words
Files
2
Skills in repo
98
Repo updated
First seen
Licence
GPL-2.0

At a glance

Generate a concise Chinese WeChat-ready Markdown article from an industry name by searching current news from the last month, verifying evidence across production, demand, inputs, ecosystem, policy…

  • Works in 7 steps: Confirm the target industry and date… → Search current evidence. → Validate the story before writing. → …
  • The user asks for 行业新闻追踪
  • SKILL.md covers Overview, Workflow, Article Shape and Quality Bar
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Industry News Insight is an agent skill from digoal/blog. Generate a concise Chinese WeChat-ready Markdown article from an industry name by searching current news from the last month, verifying evidence across production, demand, inputs, ecosystem, policy, financing, and technology signals, and writing first-person neutral third-party industry insight without visible author identity or AI traces. Use when the user asks for 行业新闻追踪, 行业洞察, 近一个月行业分析, 公众号短文, industry trend notes, or a source-backed short article saved to the current project's markdown directory.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Productivity & Automation, covering Messaging and chat bots. It works with WeChat. 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

  • The user asks for 行业新闻追踪
  • Industry trend notes
  • A source-backed short article saved to the current projects markdown directory

Example prompts

  • “/industry-news-insight”

Workflow steps

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

  1. Confirm the target industry and date window.
  2. Search current evidence.
  3. Validate the story before writing.
  4. Build the article thesis.
  5. Write for mobile WeChat reading.
  6. Add visuals only when they improve comprehension.
  7. Save the Markdown.

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 markdown).

    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

Industry News Insight loads about 1.2k tokens when it runs. Until then it costs about 132 tokens; SKILL.md has 553 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~132
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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). 553 words, ~1,193 tokens.

Download SKILL.mdSave it as .claude/skills/industry-news-insight/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
industry-news-insight
description
Generate a concise Chinese WeChat-ready Markdown article from an industry name by searching current news from the last month, verifying evidence across production, demand, inputs, ecosystem, policy, financing, and technology signals, and writing first-person neutral third-party industry insight without visible author identity or AI traces. Use when the user asks for 行业新闻追踪, 行业洞察, 近一个月行业分析, 公众号短文, industry trend notes, or a source-backed short article saved to the current project's markdown directory.

Industry News Insight

Overview

Use this skill to turn one industry name into a short, evidence-backed Chinese Markdown article for WeChat-style mobile reading. The output should read like a human industry observer's first-person note, not a formal report, pitch, consultant bio, or AI-generated summary.

Workflow

  1. Confirm the target industry and date window.

    • Default to the most recent 30 days from the current date.
    • If the industry name is broad, keep it broad unless the user specifies a sub-sector; avoid silently narrowing the scope.
    • State the date window in the working notes or final response, but do not over-explain it inside the article.
  2. Search current evidence.

    • Search web/news sources for the industry name plus terms such as 新闻, 政策, 投融资, 价格, 产能, 需求, 出口, 技术, 并购, supply, demand, market, regulation, funding, earnings, capacity, and price.
    • Prioritize sources published within the last 30 days. Use older sources only for background or to explain a structural fact, and label them as background in notes.
    • Prefer primary or high-signal sources: regulators, exchanges, statistics agencies, company announcements, earnings materials, industry associations, reputable business media, and credible research institutions.
    • Collect enough evidence to cover at least three angles among production端, 消费端, 生产资料/上游投入, 渠道/生态, 政策监管, 技术变化, 资本市场/投融资, and international trade.
  3. Validate the story before writing.

    • Separate facts from interpretation.
    • Look for contradictions across sources; resolve them by source quality, date, and measurement definition.
    • Do not write if the last-month evidence is too thin, stale, promotional, or one-sided. Tell the user what is missing instead of producing a weak article.
    • Add supplemental searches when a key causal link depends on missing evidence.
  4. Build the article thesis.

    • Use a "news signal -> industry mechanism -> what may change next" structure.
    • Avoid a simple news roundup. Extract one core judgment from the evidence.
    • Make the judgment neutral and falsifiable; avoid investment advice, buy/sell calls, and unsupported predictions.
  5. Write for mobile WeChat reading.

    • Write in Chinese unless the user asks otherwise.
    • Keep the article under four mobile screens: normally 900-1500 Chinese characters, excluding references and diagrams.
    • Use short paragraphs, compact headings, and direct sentences.
    • Use first person naturally, such as "我更关注的是..." or "我把这件事放到产业链里看...".
    • Do not reveal an author role. Avoid phrases like "作为第三方顾问", "作为AI", "本文由AI生成", "我们团队", or "研究报告认为".
    • Do not use obvious AI template language such as "综上所述", "值得注意的是" repeated mechanically, "未来可期", or inflated slogans.
    • Do not fabricate quotes, statistics, rankings, or company positions.
  6. Add visuals only when they improve comprehension.

    • Prefer one compact Mermaid, SVG, or ASCII diagram when it clarifies a value chain, feedback loop, or supply-demand relation.
    • Keep visuals mobile-readable and text-light.
    • Skip visuals when they would consume space without adding insight.
  7. Save the Markdown.

    • Create or use the current project's markdown/ directory.
    • Save as markdown/<YYYYMMDD>-<industry-slug>-industry-news-insight.md.
    • Include the article title, body, optional diagram, and a compact 参考来源 section with source names, dates, and links.
    • In the final response, report the saved absolute path and a brief evidence summary.
Show full SKILL.md (68 more words)Show less

Article Shape

Use this structure unless the user requests another format:

markdown
# <短标题:行业名 + 核心判断>

<开场:最近一个月最关键的新闻信号,用一两段进入,不写套话。>

## <机制标题>

<解释生产端、消费端、上游或生态中的关键变化。>

## <真正的变化>

<给出第一人称观察和行业机制判断。>

<可选 Mermaid/SVG/ASCII 图>

## <接下来盯什么>

<列出2-4个后续观察指标,不写投资建议。>

---

参考来源:
- <来源名>,<发布日期>,<链接>

Quality Bar

  • The article must be readable as a standalone public-account post.
  • Every specific data point or event must be traceable to a source.
  • The core claim must follow from the cited evidence, not from generic industry common sense.
  • The article should feel concise, observational, and human; remove bureaucratic framing, consultant disclaimers, and AI-style transitions before saving.

© 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

SKILL.md and 1 other file in skills/industry-news-insight of digoal/blog.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit ad6fcb7

Compare with similar skills

Industry News Insight 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.

Industry News Insight compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Industry News Insight this skilldigoal/blog8.6k—~1.2kAutomated safety check: PassGPL-2.0
Dbs Wechat HTMLdontbesilent2025/dbskill11k—~1.9kAutomated safety check: PassCustom licence
Wechat Article Aggregatorwwwzhouhui/skills_collection283—~1.5kAutomated safety check: PassNone
Wechat Article Fetcherwwwzhouhui/skills_collection283—~759Automated safety check: PassNone
Wechat Md PublisherLeoYeAI/openclaw-master-skills2.2k—~3kAutomated safety check: PassMIT
She Love Me863401402/she-love-me9311 repos~1.3kAutomated safety check: PassMIT

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Works with

Questions about Industry News Insight

What does Industry News Insight do?

Generate a concise Chinese WeChat-ready Markdown article from an industry name by searching current news from the last month, verifying evidence across production, demand, inputs, ecosystem, policy…. Industry News Insight is an agent skill from digoal/blog. Generate a concise Chinese WeChat-ready Markdown article from an industry name by searching current news from the last month, verifying evidence across production, demand, inputs, ecosystem, policy, financing, and technology signals, and writing first-person neutral third-party industry insight without visible author identity or AI traces.

When should I use Industry News Insight?

Industry News Insight fits situations like: the user asks for 行业新闻追踪; industry trend notes; A source-backed short article saved to the current projects markdown directory.

How do I install Industry News Insight in Claude Code?

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

How do I install Industry News Insight in Codex?

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

Can I use Industry News Insight 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 industry-news-insight -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/industry-news-insight, .gemini/skills/industry-news-insight, .github/skills/industry-news-insight and .opencode/skills/industry-news-insight in your project.

What does Industry News Insight need to run?

SKILL.md names no scripts, command-line tools or credentials: Industry News Insight is instructions for the agent only.

Does Industry News Insight 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 Industry News Insight 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 Industry News Insight use?

Industry News Insight 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 Industry News Insight use?

About 1.2k tokens (SKILL.md is roughly 4.8k 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 Industry News Insight?

Skills that share tags, products or a category with Industry News Insight: Dbs Wechat HTML (dontbesilent2025/dbskill, 11k stars), Wechat Article Aggregator (wwwzhouhui/skills_collection, 283 stars), Wechat Article Fetcher (wwwzhouhui/skills_collection, 283 stars) and Wechat Md Publisher (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Industry News Insight?

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.