Build a Full Industry Knowledge System with One Codex Skill

Where this fits

You're a developer asked to evaluate a new market—say, pet supplements in the US—for a client or internal product. You start scraping competitor sites, reading Reddit threads, and bookmarking top creators. A week later you have dozens of scattered notes but no coherent picture. This skill gives you a repeatable, modular pipeline to turn that chaos into a structured, connected knowledge base, with each module feeding the next.

Why agents benefit

• Scaffolds a full project with a single command, creating directories and template files for all five modules (database, competitor analysis, content analysis, knowledge map, intelligence monitoring).
• Runs modular tasks—you can invoke the whole system or just one module (e.g., "deep analyze competitor site example.com") without redoing prior work.
• Reuses and updates the industry database across modules, so later analysis (content, competitors) automatically enriches earlier data instead of living in silos.
• Audits completeness via a script that checks for missing fields, stale facts, or unverified claims, keeping the system trustworthy.
• Generates a three-level knowledge map with nodes, relationships, growth signals, and opportunity rankings—not just a flat report but a decision-ready structure.

Practical scenarios

Entering a new vertical quickly

You need to understand the US home fitness equipment market for a product launch. The skill scaffolds the database, then runs competitor and content analysis in parallel. Within a day you have a knowledge map highlighting high-competition niches and underserved opportunities.

Competitive teardown of a specific site

A stakeholder asks for a deep dive on a rival's sales page and SEO strategy. You invoke only the competitor module with the URL. It extracts product architecture, offers, conversion hooks, and content gaps, feeding results back into the shared database for later use.

Setting up ongoing market intelligence

After the initial build, you schedule the intelligence module to monitor new sources, competitor changes, and trend shifts. It outputs a weekly report that keeps your team aligned without manual scraping.

Add it to your agent workflow

Install via Codex:

npx skills add xianxie6/build-industry-knowledge-system

Then invoke it with a natural language prompt:

使用 $build-industry-knowledge-system 从头到尾搭建美国宠物补充剂行业认知体系。

Or scaffold a project programmatically:

python3 build-industry-knowledge-system/scripts/scaffold_industry_system.py \
  --industry "Home Fitness Equipment" \
  --market "United States" \
  --output "/path/to/project"

Compare before adopting

Check the GitHub repo for quality signals: recent commits, open issues, and whether the author actively responds. Look at how the five modules actually connect—does the database schema align with what the knowledge map expects? Compare with alternative research skills that generate single reports; this one emphasizes interconnectedness. Also verify it fits your Codex version and that the prompts are in Chinese (you may need to translate them for your team).

Why it is worth tracking

With 30 stars and a clear modular design, this skill is early but promising. Its focus on building a living system rather than static reports aligns with how agents should handle research. Track it for updates—if the author adds more modules or multilingual support, it could become a go‑to for market intelligence. Evaluate it when you need to standardize industry research across multiple client engagements. For a broader view of similar skills, see OpenAgentSkill.