analyzing-industry-supply-chains
Maps industry supply chain dynamics with upstream/downstream exposure and competitive positioning. Use when analyzing supply chains, assessing industry structure, or evaluating competitive moats.
Best use case
analyzing-industry-supply-chains is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Maps industry supply chain dynamics with upstream/downstream exposure and competitive positioning. Use when analyzing supply chains, assessing industry structure, or evaluating competitive moats.
Teams using analyzing-industry-supply-chains should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/analyzing-industry-supply-chains/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How analyzing-industry-supply-chains Compares
| Feature / Agent | analyzing-industry-supply-chains | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Maps industry supply chain dynamics with upstream/downstream exposure and competitive positioning. Use when analyzing supply chains, assessing industry structure, or evaluating competitive moats.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Analyzing Industry Supply Chains ## When To Use - Evaluating a company's positioning within its industry value chain for equity research - Assessing upstream supplier concentration or downstream customer dependency risk - Identifying competitive moats derived from supply chain control, vertical integration, or switching costs - Screening for supply chain vulnerabilities ahead of earnings or during sector disruptions - Comparing value chain economics across competitors in the same industry ## Inputs To Gather - **Target company/industry**: Specific company ticker(s) or industry segment (e.g., "semiconductor equipment," "specialty chemicals") - **Value chain scope**: Full chain (raw materials to end consumer) or focused segment (e.g., Tier 1 suppliers only) - **Key financial data**: Revenue breakdown by segment/customer, COGS composition, gross margin trends, capex allocation - **Supplier/customer disclosures**: 10-K supplier concentration language, major customer disclosures (>10% revenue), contract terms where available - **Competitive set**: 3-5 direct competitors for relative positioning - **Timeframe**: Historical period for trend analysis (typically 3-5 years) and forward outlook horizon ## Workflow 1. **Map the value chain structure** - Identify all major tiers: raw material suppliers, component manufacturers, assemblers/OEMs, distributors, end customers - Note which tiers are fragmented vs. consolidated — consolidated tiers hold pricing power - Flag vertically integrated players who span multiple tiers 2. **Analyze upstream exposure** - Assess supplier concentration: single-source dependencies, geographic clustering, commodity vs. differentiated inputs - Evaluate input cost pass-through ability — can the company raise prices when input costs spike? - Identify lead times, inventory buffer strategies (JIT vs. safety stock), and substitution options - [VERIFY] Current commodity price trends and recent supply disruptions for key inputs 3. **Analyze downstream exposure** - Map customer concentration — revenue share of top 5/10 customers - Assess channel structure: direct sales vs. distributors vs. retail, and who controls the end relationship - Evaluate demand visibility: backlog duration, contract vs. spot mix, order cancellation terms - Identify switching costs for customers — technical integration, qualification processes, regulatory lock-in 4. **Assess competitive positioning within the chain** - Determine where margin accrues in the value chain and whether the target captures or cedes value - Compare gross margins, ROIC, and asset turns across the competitive set at each tier - Identify structural advantages: proprietary technology, scale economies, network effects, regulatory barriers - Evaluate bargaining power dynamics using Porter's framework — which tiers extract disproportionate value? 5. **Identify risks and disruption vectors** - Geopolitical exposure: tariff sensitivity, sanctions risk, reshoring/nearshoring trends [VERIFY] - Technology disruption: emerging substitutes, process changes that could disintermediate a tier - Regulatory shifts: environmental rules (e.g., CBAM, REACH), trade policy changes, ESG-driven sourcing mandates [VERIFY] - Capacity cycle positioning: current utilization rates, announced capacity additions, historical boom/bust patterns 6. **Synthesize investment implications** - Rank the target's supply chain resilience vs. peers (strong / adequate / vulnerable) - Quantify margin impact scenarios for key supply chain risks (e.g., +20% input cost = X bps margin compression) - Identify catalysts: supply normalization, contract renewals, vertical integration moves, competitor exits ## Output Structure the deliverable as follows: - **Value Chain Map**: Visual or tabular representation of the industry chain with the target company's position highlighted, tier-by-tier concentration metrics, and margin distribution - **Upstream Risk Assessment**: Supplier concentration score, input cost sensitivity analysis, geographic and single-source risk flags - **Downstream Risk Assessment**: Customer concentration metrics, demand visibility indicators, switching cost evaluation - **Competitive Positioning Matrix**: Comparative table of the target vs. 3-5 peers on key supply chain metrics (vertical integration, margin capture, asset efficiency, bargaining power) - **Risk/Catalyst Summary**: Ranked list of supply chain risks with probability/impact scoring and near-term catalysts - **Investment Takeaway**: 2-3 paragraph synthesis of whether supply chain dynamics represent a tailwind, headwind, or neutral factor for the investment thesis ## Quality Checks - Every supplier/customer concentration claim cites a specific filing or data source — no unsourced assertions - Margin and ROIC comparisons use consistent time periods and accounting treatment across the competitive set - Geographic and regulatory risk factors are tagged [VERIFY] where they depend on current policy status - The analysis distinguishes between structural (durable) and cyclical (temporary) supply chain dynamics - Quantified scenarios include explicit assumptions (e.g., "assumes 15% tariff on Chinese imports") rather than vague directional language - Output avoids forward-looking performance guarantees; frames findings as analytical assessments, not investment recommendations