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Supply Chain Agent Skill

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

2k tokens
context cost
the whole folder, loaded on every use
3
files
instructions only
0
copies elsewhere
how many repositories repackaged it
108
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/agentii-ai/agentii-investment-intelligence --skill supply-chain

What comes with it

2 069 bytes besides the instruction
references/methodology.md
references/output-structure.md

The instruction itself

16 sections, as written by the author

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 — US-GAAP concept discovery for non-standard line items
  • 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

  • Pre-flight (mandatory): get_company_fiscal_calendar/{ticker} then get_ticker_coverage/{ticker}; route on coverage.
  • Layer 1 — discovery: search_documents / search_sec_filings to find candidate filings by ticker/form_type/date.
  • 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.
  • Layer 2.5 (optional): search_keyword_in_source to narrow documents >50 pages.
  • Layer 3 — deep read: read_source_pages/{ticker}/{citation_id}?row_numbers=page<N>,... for the 3–5 selected pages only.
  • Multi-period (if applicable): search_cross_period after fiscal-calendar resolution.
  • 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

  • Executive Summary (≤200 words) — headline conclusions for the analysis.
  • Data Sources — filings + structured endpoints used, with {ticker} {citation_id} page<N> citations.
  • Analysis — the core findings, tables, and commentary for this dimension.
  • Key Metrics — the quantitative results with QoQ/YoY context where relevant.
  • 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 — tool fallbacks, retrieval strategy, analysis framework
  • Output Structure: references/output-structure.md — detailed deliverable sections and ordering

How to use it

Copy the folder

Take agentii-ai/supply-chain from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.