Map Supplier Risk with the supply-chain Agent Skill

Where this fits

A portfolio analyst is reviewing a manufacturer and sees revenue concentration in top customers. They need to know if a key supplier is single-sourced or if geographic clusters create disruption risk. The supply-chain skill turns that research loop into an agent task: it maps the company's suppliers, customers, and logistics footprint from filings and XBRL data, and summarizes dependency and risk in a structured view.

Why agents benefit

• Agents can identify supplier and customer concentration from 10-K, 10-Q, and XBRL concepts, not just headlines.
• The skill's target_with_optional_peers semantics lets the agent compare a company against peers for dependency signals.
• It uses at least eight distinct tool types, pushing the agent to triangulate filings, documents, and knowledge entries rather than rely on a single source.
• Temporal defaults (4 quarters, max 10) keep analysis recent and comparable.
• It can trace bottlenecks and vertical integration signals across the logistics and sourcing context.

Practical scenarios

Pre-earnings supply chain check

Before an earnings call, an analyst asks: "What are the top 3 customer concentration risks for this supplier?" The agent maps customer dependencies, recent contract disclosures, and geographic revenue splits in one pass.

Supplier disruption screening

A procurement team monitors a critical component supplier. The agent searches SEC filings and documents for bottleneck language, inventory changes, and alternative sourcing mentions, then flags companies with single-source exposure.

Geographic concentration audit

An investment team wants to know how much manufacturing sits in one region. The agent extracts segment and property data from XBRL and narrative disclosures, then compares geographic footprint against peers.

Add it to your agent workflow

Install the skill with:

npx skills add agentii-ai/agentii-investment-intelligence --skill supply-chain

Then invoke it with an instruction such as: "Map the supply chain for Ticker XYZ over the last 4 quarters, focusing on supplier dependency and customer concentration."

Compare before adopting

Before committing, compare this skill with other supply chain analyzers by looking at:

• Quality signals: does the README list tool diversity, retrieval scope, and default quarters? That indicates a designed, not slapped-together, prompt.
• Maintenance freshness: check the GitHub repo's recent commits and issue responses.
• Alternatives: evaluate general business research skills versus this domain-specific one for depth.
• Workflow fit: does target_with_optional_peers match how your agent handles universe screening? See more details at https://www.openagentskill.com/skills/agentii-ai-supply-chain.

Why it is worth tracking

With 203 stars and an active agentii-ai repository, this skill has enough community signal to warrant a test drive. The structured defaults and tool-diversity requirement suggest it was built from real agent debugging, not a static prompt. Track it if you are automating equity research, procurement monitoring, or risk analysis; evaluate again when the repository adds more XBRL mappings or logistics-specific data sources.