Claude Skill

supply-chain

Supply chain mapping, supplier dependency analysis, customer concentration, geographic concentration, bottleneck identification, supply chain risk, logistics network, sourcing strategy, inventory management, vertical integration analysis

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Part of agentii-ai/agentii-investment-intelligence — 46 skills

Install

skills CLI npx skills add https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/industry-analysis/skills/agentii/supply-chain
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install agentii-ai-agentii-investment-intelligence@llmmart
Git git clone https://github.com/agentii-ai/agentii-investment-intelligence.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole agentii-ai/agentii-investment-intelligence collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

supply-chain

Triggers

  • Supply chain mapping
  • supplier dependency analysis
  • customer concentration
  • geographic concentration
  • bottleneck identification
  • supply chain risk
  • logistics network
  • sourcing strategy
  • inventory management
  • vertical integration analysis

Defaults

Parameter Default Value Rationale
ticker (required) Stock symbol to analyze
lookback_quarters 4 Standard lookback for this skill type

Methodology

1. Retrieval Scope

This skill operates with retrieval_scope: unstructured_document_search. It performs unstructured document search at scale via the three-layer retrieval protocol (Layer 1→2→2.5→3), escalating to read_source_deep_outline only when lightweight labels cannot disambiguate pages, plus structured XBRL where needed.

2. Retrieval Strategy

Follows the retrieval strategy decision tree in contracts/retrieval.md. Primary branch: (b)/(c) Unstructured Query via the three-layer protocol. Resolve the canonical ticker first (exact → fuzzy alias → share-class) before any data call.

3. Temporal Scope

Default lookback: 4 fiscal quarter(s); maximum: 10. The default balances recency against the trend window this analysis requires.

4. Tool Allowlist

Per frontmatter allowed_tools:

  • search_companies — ticker resolution + company context (entity-alias fuzzy match)
  • search_xbrl_facts — primary structured financial facts (is_primary default)
  • search_documents — Layer 1 document discovery (page-level silver records)
  • search_sec_filings — Layer 1 SEC filing metadata index
  • get_company_financials — consolidated IS/BS/CF highlights
  • list_coverage — universe-level coverage discovery
  • read_source_outline — Layer 2 lightweight page map (description + keywords)
  • read_source_deep_outline — Layer 2.5a deep page map (table_titles/drivers/metrics)
  • list_xbrl_concepts — XBRL concept discovery for non-standard line items (namespace param; default us-gaap — use ifrs-full for foreign filers)
  • read_source_pages — Layer 3 deep read of selected pages with table markers
  • search_keyword_in_source — Layer 2.5b keyword page filter for large documents

5. Protocol

  1. Pre-flight (mandatory): get_company_fiscal_calendar/{ticker} then get_ticker_coverage/{ticker}; route on coverage.
  2. Layer 1 — discovery: search_documents / search_sec_filings to find candidate filings by ticker/form_type/date.
  3. Layer 2 — page map: read_source_outline/{ticker}/{citation_id}; skip NULL-description pages; escalate to read_source_deep_outline only when labels can't disambiguate.
  4. Layer 2.5 (optional): search_keyword_in_source to narrow documents >50 pages.
  5. Layer 3 — deep read: read_source_pages/{ticker}/{citation_id}?pages=page<N>,... for the 3–5 selected pages only.
  6. Multi-period (if applicable): search_cross_period after fiscal-calendar resolution.
  7. Output: write the deliverable per ## Output File, then append to agentii.md.

Output File

Write the final deliverable to _cross/{descriptive-slug}_{YYYY-MM-DD_HHMM}_supply-chain_{affix}.md or _sector/{sector_name}/{YYYY-MM-DD_HHMM}_supply-chain_{affix}.md .

Output Structure

  1. Executive Summary (≤200 words) — headline conclusions for the analysis.
  2. Data Sources — filings + structured endpoints used, with {ticker} {citation_id} page<N> citations.
  3. Analysis — the core findings, tables, and commentary for this dimension.
  4. Key Metrics — the quantitative results with QoQ/YoY context where relevant.
  5. Coverage Gaps & Citations — data not retrievable + citation index.

Citations & memory: follow contracts/citation-and-memory.md — ≥1 citation per 200 words; every material fact, table row, and metric is immediately followed by its inline clickable https://agentii.ai/v/{ticker}/{citation_id}/{N} link; a bottom Citations section provides a non-duplicative roll-up index; the closing TUI reply includes a compact Key Citations list (headline 5–10 facts) of clickable /v/ URLs; and append the run to agentii.md per contracts/agentii-md-schema.md.

Preflight

Run the canonical pre-flight sequence — MCP health probe, ticker resolution, workspace style.md override, memory load, and coverage check. See contracts/preflight.md.

Include the X-Agentii-Trace header on every tool call per contracts/x-agentii-trace-header.md.

Memory & Snapshot

  • Memory load (pre-flight): load prior workspace context for the ticker before retrieval — see contracts/memory-load.md.
  • Structured output frontmatter: emit the FR-090 block (key_metrics, conclusions, facts_count, deducted_count, views_count, citation_count) per contracts/output-frontmatter-schema.md.
  • Snapshot synthesis: after writing the deliverable, update the two-tier snapshot and classify findings as [FACT]/[DEDUCTED]/[VIEW] — see contracts/snapshot-synthesis.md.
  • Session archival: record the run under sessions/{YYYY-MM-DD}/ and update sessions/INDEX.md per contracts/session-format.md.

Final Summary (TUI)

End the closing chat reply with a compact Key Citations list (headline 5–10 facts), each a clickable https://agentii.ai/v/{ticker}/{citation_id}/{N} link, so the user can cmd+click straight to the exact SEC page. See contracts/citation-and-memory.md.

Error Handling

Error Action
Ticker not found Suggest checking spelling or trying list_coverage
No data available Flag in Coverage Gaps, proceed with available data
API key invalid Direct user to agentii.ai/api-keys
MCP server unreachable Retry once; if persistent, halt with AGENTII_MCP_UNREACHABLE

References

Files (agentii-investment-intelligence)
  • references
    • knowledge-frameworks.md 775 B
      # Knowledge Frameworks — Industry Analysis Skills
      
      Sector-specific competitive and industry frameworks from the agentii knowledge base (spec 037).
      
      ## L2 Sector Frameworks
      - **Healthcare**: Pipeline valuation (rNPV), FDA catalyst analysis, patent cliff, drug pricing.
      - **Technology**: Adoption S-curves, network effects quantification, R&D efficiency, platform moats.
      - **Financials**: Spread analysis, credit cycle positioning, loan loss reserves, capital return.
      - **Porter's Five Forces**: Applied per-sector — barriers to entry, supplier/customer power.
      
      ## Historical Cases
      Query `search_by_analogue(market_regime, event_type, company_situation)` for sector precedents.
      
      Source: `gold.knowledge_entries` — query via `search_knowledge_entries(category_tags: K4)`.
      
    • methodology.md 1.1 KB
      # supply-chain — Methodology
      
      ## Retrieval Strategy
      
      XBRL segment/geography data for customer and supplier concentration. SEC filings (10-K Item 1
      Business, Item 1A Risk Factors) for supply-chain narrative. `search_documents` with
      `secondary_label=supply_chain` where available.
      
      ## Tool Fallbacks
      
      | Tool | Failure Mode | Fallback Action | Coverage Annotation |
      |------|-------------|----------------|---------------------|
      | `search_xbrl_facts` | No segment/geography dimensions | Use Item 1 narrative only | `segment_data_unavailable: true` |
      | `search_documents` | No supply-chain labeled docs | Keyword search in filings | `keyword_fallback: true` |
      | `read_source_pages` | Page not found | Try adjacent pages | `page_fallback: true` |
      
      ## Supply Chain Analysis Framework
      
      - **Supplier concentration**: % revenue from top suppliers, single-source dependencies
      - **Customer concentration**: % revenue from top customers (10-K Item 1 disclosure)
      - **Geographic exposure**: manufacturing/sourcing by region, tariff sensitivity
      - **Bottleneck identification**: single points of failure, lead-time risks
      
    • modes.md 712 B
      # supply-chain — Analyst Mode Definitions
      
      Derived from the skill's own methodology structure (scripts/mode_backfill.py, spec 046 M1).
      
      ### Mode: triggers
      
      **Objective**: Triggers analysis per the skill's methodology (see SKILL.md sections).
      
      ### Mode: defaults
      
      **Objective**: Defaults analysis per the skill's methodology (see SKILL.md sections).
      
      ### Mode: methodology
      
      **Objective**: Methodology analysis per the skill's methodology (see SKILL.md sections).
      
      ### Mode: retrieval-scope
      
      **Objective**: Retrieval Scope analysis per the skill's methodology (see SKILL.md sections).
      
      ### Mode: retrieval-strategy
      
      **Objective**: Retrieval Strategy analysis per the skill's methodology (see SKILL.md sections).
      
    • output-structure.md 963 B
      # supply-chain — Output Structure
      
      1. **Executive Summary** (≤200 words) — supply-chain structure, key dependencies, risk level
      2. **Supplier Map** — key suppliers, concentration, geographic distribution
      3. **Customer Concentration** — top customers, revenue dependency, contract terms
      4. **Geographic Exposure** — manufacturing, sourcing, and distribution by region
      5. **Bottleneck Analysis** — single points of failure, lead-time risks, inventory buffers
      6. **Risk Assessment** — tariff exposure, geopolitical risks, logistics vulnerabilities
      7. **Key Metrics** — supplier/customer concentration ratios, inventory turnover, DIO
      8. **Coverage Gaps & Citations** — data not retrievable + citation index
      
      **Multi-ticker output**: write to `_cross/{descriptive-slug}_{YYYY-MM-DD_HHMM}_supply-chain_{affix}.md`
      (frontmatter `tickers: [...]`). Pure industry/thematic analyses use
      `_sector/{sector_name}/{YYYY-MM-DD_HHMM}_supply-chain_{affix}.md`.
      
  • SKILL.md 6.8 KB
    ---
    name: supply-chain
    multi_ticker_semantics: target_with_optional_peers
    description: Supply chain mapping, supplier dependency analysis, customer concentration, geographic concentration, bottleneck identification, supply chain risk, logistics network, sourcing strategy, inventory management, vertical integration analysis
    temporal_scope:
     default_quarters: 4
     max_quarters: 10
     description: "Typical lookback: 4 quarters, max: 10"
    allowed_tools:
     - search_companies
     - search_xbrl_facts
     - search_documents
     - search_sec_filings
     - get_company_financials
     - list_coverage
     - read_source_outline
     - read_source_deep_outline
     - list_xbrl_concepts
     - read_source_pages
     - search_keyword_in_source
     - search_knowledge_entries
     - get_knowledge_entry
     - search_by_analogue
    retrieval_scope: unstructured_document_search
    min_tool_diversity: 8
    ---
    
    # supply-chain
    
    ## Triggers
    
    - Supply chain mapping
    - supplier dependency analysis
    - customer concentration
    - geographic concentration
    - bottleneck identification
    - supply chain risk
    - logistics network
    - sourcing strategy
    - inventory management
    - vertical integration analysis
    
    ## Defaults
    
    | Parameter | Default Value | Rationale |
    |-----------|---------------|-----------|
    | ticker | (required) | Stock symbol to analyze |
    | lookback_quarters | 4 | Standard lookback for this skill type |
    
    ## Methodology
    
    ### 1. Retrieval Scope
    
    This skill operates with `retrieval_scope: unstructured_document_search`. It performs unstructured document search at scale via the three-layer retrieval protocol (Layer 1→2→2.5→3), escalating to `read_source_deep_outline` only when lightweight labels cannot disambiguate pages, plus structured XBRL where needed.
    
    ### 2. Retrieval Strategy
    
    Follows the retrieval strategy decision tree in `contracts/retrieval.md`. Primary branch: **(b)/(c) Unstructured Query via the three-layer protocol**. Resolve the canonical ticker first (exact → fuzzy alias → share-class) before any data call.
    
    ### 3. Temporal Scope
    
    Default lookback: 4 fiscal quarter(s); maximum: 10. The default balances recency against the trend window this analysis requires.
    
    ### 4. Tool Allowlist
    
    Per frontmatter `allowed_tools`:
    
    - `search_companies` — ticker resolution + company context (entity-alias fuzzy match)
    - `search_xbrl_facts` — primary structured financial facts (is_primary default)
    - `search_documents` — Layer 1 document discovery (page-level silver records)
    - `search_sec_filings` — Layer 1 SEC filing metadata index
    - `get_company_financials` — consolidated IS/BS/CF highlights
    - `list_coverage` — universe-level coverage discovery
    - `read_source_outline` — Layer 2 lightweight page map (description + keywords)
    - `read_source_deep_outline` — Layer 2.5a deep page map (table_titles/drivers/metrics)
    - `list_xbrl_concepts` — XBRL concept discovery for non-standard line items (`namespace` param; default `us-gaap` — use `ifrs-full` for foreign filers)
    - `read_source_pages` — Layer 3 deep read of selected pages with table markers
    - `search_keyword_in_source` — Layer 2.5b keyword page filter for large documents
    
    ### 5. Protocol
    
    1. **Pre-flight (mandatory)**: `get_company_fiscal_calendar/{ticker}` then `get_ticker_coverage/{ticker}`; route on coverage.
    2. **Layer 1 — discovery**: `search_documents` / `search_sec_filings` to find candidate filings by ticker/form_type/date.
    3. **Layer 2 — page map**: `read_source_outline/{ticker}/{citation_id}`; skip NULL-description pages; escalate to `read_source_deep_outline` only when labels can't disambiguate.
    4. **Layer 2.5 (optional)**: `search_keyword_in_source` to narrow documents >50 pages.
    5. **Layer 3 — deep read**: `read_source_pages/{ticker}/{citation_id}?pages=page<N>,...` for the 3–5 selected pages only.
    6. **Multi-period** (if applicable): `search_cross_period` after fiscal-calendar resolution.
    7. **Output**: write the deliverable per `## Output File`, then append to `agentii.md`.
    
    ## Output File
    
    Write the final deliverable to `_cross/{descriptive-slug}_{YYYY-MM-DD_HHMM}_supply-chain_{affix}.md` or `_sector/{sector_name}/{YYYY-MM-DD_HHMM}_supply-chain_{affix}.md` .
    
    ## Output Structure
    
    1. **Executive Summary** (≤200 words) — headline conclusions for the analysis.
    2. **Data Sources** — filings + structured endpoints used, with `{ticker} {citation_id} page<N>` citations.
    3. **Analysis** — the core findings, tables, and commentary for this dimension.
    4. **Key Metrics** — the quantitative results with QoQ/YoY context where relevant.
    5. **Coverage Gaps & Citations** — data not retrievable + citation index.
    
    **Citations & memory**: follow `contracts/citation-and-memory.md` — ≥1 citation per 200 words; every material fact, table row, and metric is immediately followed by its inline clickable `https://agentii.ai/v/{ticker}/{citation_id}/{N}` link; a bottom **Citations** section provides a non-duplicative roll-up index; the closing TUI reply includes a compact **Key Citations** list (headline 5–10 facts) of clickable `/v/` URLs; and append the run to `agentii.md` per `contracts/agentii-md-schema.md`.
    
    ## Preflight
    
    Run the canonical pre-flight sequence — MCP health probe, ticker resolution, workspace `style.md` override, memory load, and coverage check. See `contracts/preflight.md`.
    
    Include the `X-Agentii-Trace` header on every tool call per `contracts/x-agentii-trace-header.md`.
    
    ## Memory & Snapshot
    
    - **Memory load** (pre-flight): load prior workspace context for the ticker before retrieval — see `contracts/memory-load.md`.
    - **Structured output frontmatter**: emit the FR-090 block (`key_metrics`, `conclusions`, `facts_count`, `deducted_count`, `views_count`, `citation_count`) per `contracts/output-frontmatter-schema.md`.
    - **Snapshot synthesis**: after writing the deliverable, update the two-tier snapshot and classify findings as `[FACT]`/`[DEDUCTED]`/`[VIEW]` — see `contracts/snapshot-synthesis.md`.
    - **Session archival**: record the run under `sessions/{YYYY-MM-DD}/` and update `sessions/INDEX.md` per `contracts/session-format.md`.
    
    ## Final Summary (TUI)
    
    End the closing chat reply with a compact **Key Citations** list (headline 5–10 facts), each a clickable `https://agentii.ai/v/{ticker}/{citation_id}/{N}` link, so the user can cmd+click straight to the exact SEC page. See `contracts/citation-and-memory.md`.
    
    ## Error Handling
    
    | Error | Action |
    |-------|--------|
    | Ticker not found | Suggest checking spelling or trying list_coverage |
    | No data available | Flag in Coverage Gaps, proceed with available data |
    | API key invalid | Direct user to agentii.ai/api-keys |
    | MCP server unreachable | Retry once; if persistent, halt with AGENTII_MCP_UNREACHABLE |
    
    ## References
    
    - **Methodology**: [`references/methodology.md`](references/methodology.md) — tool fallbacks, retrieval strategy, analysis framework
    - **Output Structure**: [`references/output-structure.md`](references/output-structure.md) — detailed deliverable sections and ordering
    

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