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/world-bug-opportunity-finder

Search current hot social or industry news, identify visible "world bugs" such as incentive failures, regulatory gaps, information asymmetry, safety risks, and unreasonable value-chain behavior, then propose root-cause fixes and business opportunities in a sourced, diagram-rich

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blog
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$ npx -y skills add digoal/blog --skill world-bug-opportunity-finder --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/world-bug-opportunity-finder

Context preview

The summary Claude sees to decide when to auto-load this skill.

Search current hot social or industry news, identify visible "world bugs" such as incentive failures, regulatory gaps, information asymmetry, safety risks, and unreasonable value-chain behavior, then propose root-cause fixes and business opportunities in a sourced, diagram-rich

SKILL.md

world-bug-opportunity-finder.SKILL.md
name: world-bug-opportunity-finder
description: Search current hot social or industry news, identify visible "world bugs" such as incentive failures, regulatory gaps, information asymmetry, safety risks, and unreasonable value-chain behavior, then propose root-cause fixes and business opportunities in a sourced, diagram-rich Chinese Markdown report saved under the current project's markdown directory. Use when the user gives an industry name and asks to find bugs/opportunities from industry news, or gives no industry and wants hot social-news bug analysis.

World Bug Opportunity Finder

Overview

Use this skill to turn current hot news into a rigorous "找世界 bug" report. The goal is not to moralize after the fact, but to identify why an obviously unreasonable phenomenon can keep happening, who is constrained by which incentives, what can stop it earlier, and whether there is a legitimate business opportunity in solving it.

Default to Chinese output unless the user explicitly asks for another language.

Inputs And Defaults

  • If the user provides an industry, sector, product category, or scenario, search hot news for that scope.
  • If the user provides no scope, default to recent hot social news, especially民生消费、食品安全、教育医疗、住房养老、交通出行、平台治理、公共服务、就业劳动、未成年人保护、环境安全.
  • Use the most recent 7 days for broad social hotspots and the most recent 30 days for industry hotspots unless the user gives another window.
  • If the user gives a specific event, use it as the anchor event and still search adjacent evidence to understand whether it is isolated or structural.

Workflow

1. Define the search scope.

  • State the scope and date window in working notes or the final response.
  • If the user's industry name is broad, keep it broad unless a narrower sub-sector is necessary to find concrete news; state any narrowing as an assumption.
  • Do not ask for clarification unless the missing detail would materially change the search.

2. Search current evidence.

  • Browse current web/news sources. Current news is required; if browsing or network access is unavailable, say the report cannot be responsibly produced from current hotspots.
  • For industry scope, search the industry name plus terms such as 热点, 投诉, 监管, 处罚, 曝光, 事故, 乱象, 价格, 质量, 安全, 召回, 供应链, 平台, 维权, policy, regulation, recall, fraud, safety, complaint, enforcement.
  • For social scope, search terms such as 社会热点, 民生热点, 消费曝光, 食品安全, 监管通报, 315, 舆情, 执法, 处罚, 维权.
  • Prefer primary and high-signal sources: regulator notices, official investigations, court/police announcements, government data, company announcements, exchange filings, industry associations, reputable mainstream media, credible consumer-protection platforms, and first-party product/service documents.
  • Avoid basing accusations on short videos, anonymous screenshots, reposts, or single-source rumors. Use them only as leads unless corroborated.

3. Select the strongest "bug".

  • Treat a bug as a structural unreasonable mechanism, not merely a bad person or one bad company.
  • Look for one or more of these patterns: incentive misalignment, information asymmetry, externalized cost, regulation lag, enforcement blind spot, measurement gaming, supply-chain opacity, captive users, high switching cost, weak accountability, false safety signal, trusted intermediary failure, or market design failure.
  • Rank candidates by evidence strength, public relevance, timeliness, root-cause clarity, preventability, solution feasibility, and whether a normal participant has a rational reason to keep the bad behavior going.
  • If no candidate has enough evidence, report that the evidence is too weak instead of forcing a sensational conclusion.

4. Analyze the mechanism.

  • Separate facts, inferences, assumptions, and unknowns.
  • Use a five-whys style chain, but stop when the cause is actionable rather than philosophical.
  • Map stakeholders: consumers/users, suppliers, merchants, platforms, regulators, inspectors, local governments, media, insurers, certification bodies, and potential solution providers.
  • Explain why each actor's current incentive can produce the unreasonable outcome.
  • Identify the earliest practical intervention point before public exposure or harm occurs.

5. Design solutions.

  • Give layered fixes:
  • 0-7 days: immediate containment, disclosure, sampling, consumer guidance, reporting channels, platform takedowns, refunds/recalls, or targeted enforcement.
  • 30-90 days: process changes, third-party testing, traceability, deposits, insurance, procurement rules, rating systems, auditing, data sharing, whistleblower protection, or platform governance.
  • 6-24 months: legal standards, licensing, certification, infrastructure, market mechanism redesign, industry self-discipline, or technology adoption.
  • For business opportunities, include the buyer, payment reason, MVP, first validation metric, distribution channel, regulatory dependency, and risks.
  • Prioritize public-good and legality. Do not propose doxxing, harassment, vigilante enforcement, fake reviews, illegal surveillance, evading regulation, or exploiting victims.

6. Write and save the Markdown report.

  • Create or reuse `markdown/` under the current project.
  • Save as `markdown/<YYYYMMDD>-<scope-slug>-world-bug-opportunity.md`.
  • Include text plus functional visuals: at least one Mermaid diagram, one inline SVG diagram, and one compact ASCII text map or table when useful.
  • Keep visuals explanatory, mobile-readable, and text-light; do not add decorative graphics.
  • Include a `参考来源` section with source names, publication dates, and links.
  • In the final response, provide the saved absolute path, selected bug, and brief evidence summary.

Report Structure

Use this structure unless the user requests another shape:

# <行业/社会热点>: 我看到的一个世界 bug

> 一句话判断: <不合理现象不是偶然,而是某个机制让坏结果变得划算或更容易发生。>

## 这几天发生了什么

<用事实交代热点,不写长篇新闻复述。>

## 打眼一看哪里不合理

<定义 bug: 谁
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AI,Opensource,Database,Business,Finance,Minds. git clone --depth 1 https://github.com/digoal/blog

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