Agent skill · Data & Analytics

longbridge-supply-chain

Industry supply-chain analysis via Longbridge Securities — maps upstream / midstream / downstream structure for a sector, identifies key bottleneck nodes, assesses bargaining power and profitability at each tier, and evaluates investment value of core supply-chain companies using Longbridge data. Triggers: "产业链", "供应链", "上中下游", "产业链分析", "供应链分析", "咽喉环节", "卡脖子", "产业链投资", "产业链研究", "產業鏈", "供應鏈", "上中下游", "產業鏈分析", "供應鏈分析", "咽喉環節", "supply chain", "value chain", "upstream midstream downstream", "supply chain analysis", "bottleneck", "industry chain", "supply chain investment".

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill longbridge-supply-chain --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 4 KB
Bundled scripts: none
Version: 1.0.0
Declared author: longbridge
Path: skills/analysis/longbridge-supply-chain/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# longbridge-supply-chain Industry supply-chain deep-dive — map the value chain, identify bottlenecks, and assess investment opportunities across tiers. > **Response language**: match the user's input language — Simplified Chinese / Traditional Chinese / English. ## When to use Trigger on prompts asking about: - Supply-chain structure for an industry — *"半导体产业链"*, *"新能源车供应链"*, *"semiconductor supply chain"* - Upstream / midstream / downstream breakdown — *"上中下游分析"*, *"upstream downstream"* - Bottleneck / chokepoint identification — *"卡脖子环节"*, *"咽喉环节"*, *"bottleneck"* - Supply-chain investment — *"产业链哪个环节最有投资价值"*, *"supply chain investment"* For individual company fundamentals defer to `longbridge-fundamental`. For industry-wide valuation defer to `longbridge-industry-valuation`. ## Workflow 1. Identify the target industry from the prompt. 2. Use knowledge to map the supply-chain tiers: upstream (raw materials / components), midstream (manufacturing / processing), downstream (end-product / distribution / end-user). 3. For key representative companies at each tier, fetch financial data to compare gross margins and profitability. 4. Identify bottleneck nodes based on gross margin prem

What's inside
Steps it walks through
  1. When to use
  2. Workflow
  3. CLI
  4. Output structure
  5. Error handling
  6. MCP fallback
  7. Related skills
  8. File layout
Ships with 1 file
  • metadata.json
Commands it runs
Supply-chain news and industry dynamics
longbridge news <SYMBOL> --format json
Income statement for gross margin comparison across tiers
longbridge financial-report <SYMBOL> --kind IS --format json
Industry valuation context
longbridge industry-valuation <SYMBOL> --format json
More from claude-skill-registry
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About this skill
What does the longbridge-supply-chain skill do?

Industry supply-chain analysis via Longbridge Securities — maps upstream / midstream / downstream structure for a sector, identifies key bottleneck nodes, assesses bargaining power and profitability at each tier, and evaluates investment value of core supply-chain companies using Longbridge data. Triggers: "产业链", "供应链", "上中下游", "产业链分析", "供应链分析", "咽喉环节", "卡脖子", "产业链投资", "产业链研究", "產業鏈", "供應鏈", "上中下游", "產業鏈分析", "供應鏈分析", "咽喉環節", "supply chain", "value chain", "upstream midstream downstream", "supply chain analysis", "bottleneck", "industry chain", "supply chain investment".

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill longbridge-supply-chain --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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