Claude Skill

unit-economics

Unit economics analysis, CAC LTV estimation, churn inference, gross margin per unit, customer economics, subscription economics, per-unit profitability, contribution margin, payback period, cohort economics

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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/business-intelligence/skills/agentii/unit-economics
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

unit-economics

Triggers

  • Unit economics analysis
  • CAC LTV estimation
  • churn inference
  • gross margin per unit
  • customer economics
  • subscription economics
  • per-unit profitability
  • contribution margin
  • payback period
  • cohort economics

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: structured_only. It performs structured data retrieval only (XBRL facts, financials, earnings calendar) — no unstructured document search. Document-retrieval tools are excluded from allowed_tools.

2. Retrieval Strategy

Follows the retrieval strategy decision tree in contracts/retrieval.md. Primary branch: (a) Structured Data Query. Resolve the canonical ticker first (exact → fuzzy alias → share-class) before any data call.

3. Temporal Scope

Default lookback: 4 fiscal quarter(s); maximum: 8. 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)
  • get_company_financials — consolidated IS/BS/CF highlights
  • get_company_profile — sector/industry classification + metadata
  • list_xbrl_concepts — XBRL concept discovery for non-standard line items (namespace param; default us-gaap — use ifrs-full for foreign filers)

5. Protocol

  1. Pre-flight (mandatory): call get_company_fiscal_calendar/{ticker} then get_ticker_coverage/{ticker}; route on coverage.
  2. Concept discovery (non-standard concepts only): list_xbrl_concepts(query=<term>, ticker=<T>).
  3. Structured retrieval: search_xbrl_facts(ticker, concept=[...], fiscal_year=[...]) (is_primary default) and/or get_company_financials/{ticker}.
  4. Batch rule: 3+ same-tool queries → consolidate via batch_search (≤8 sub-queries).
  5. Output: write the deliverable per ## Output File, then append to agentii.md.

Output File

Write the final deliverable to {ticker}/{YYYY-MM-DD_HHMM}_unit-economics_{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 667 B
      # Knowledge Frameworks — Business Intelligence Skills
      
      Operational and business-intelligence frameworks from the agentii knowledge base (spec 037).
      
      ## L2 Operational Frameworks
      - **Unit Economics Benchmarks**: CAC/LTV ratios by sector, payback period targets, churn benchmarks.
      - **Revenue Decomposition Taxonomies**: Segment, geography, product-line waterfall frameworks.
      - **KPI Dashboard Design**: Headcount efficiency, backlog/book-to-bill, utilization rates.
      - **What-If Scenario Construction**: Bear/Base/Bull probability weighting, driver sensitivity matrix.
      
      Source: `gold.knowledge_entries` — query via `search_knowledge_entries(category_tags: K1,K5)`.
      
    • methodology.md 1 KB
      # unit-economics — Methodology
      
      ## Retrieval Strategy
      
      Combines XBRL revenue/cost data with filing-derived customer metrics. Extracts implied
      unit economics from segment disclosures, revenue recognition policies, and operating
      metrics in 10-K Item 1 and Item 7.
      
      ## Tool Fallbacks
      
      | Tool | Failure Mode | Fallback Action | Coverage Annotation |
      |------|-------------|----------------|---------------------|
      | `search_xbrl_facts` | No unit-level data | Estimate from aggregate revenue/customer counts | `unit_estimates: true` |
      | `search_documents` | No customer metrics disclosed | Flag as unavailable | `customer_metrics_unavailable: true` |
      
      ## Unit Economics Framework
      
      - **CAC estimation**: sales & marketing spend / new customers (where disclosed)
      - **LTV estimation**: average revenue per customer × gross margin × avg lifetime
      - **LTV/CAC ratio**: benchmark ≥3 for healthy unit economics
      - **Churn inference**: revenue retention rates, cohort disclosures
      - **Gross margin per unit**: segment-level gross profit / unit volume
      
    • modes.md 714 B
      # unit-economics — 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 599 B
      # unit-economics — Output Structure
      
      1. **Executive Summary** (≤200 words) — unit economics health, LTV/CAC ratio, margins
      2. **Customer Acquisition** — CAC estimation, payback period, sales efficiency
      3. **Customer Lifetime Value** — LTV estimation, retention/churn analysis
      4. **Unit Profitability** — gross margin per customer/unit, contribution margin
      5. **LTV/CAC Analysis** — ratio trends, cohort performance, benchmark comparison
      6. **Key Metrics** — CAC, LTV, churn rate, ARPU, gross margin per unit
      7. **Coverage Gaps & Citations** — data not retrievable + citation index
      
  • SKILL.md 5.7 KB
    ---
    name: unit-economics
    multi_ticker_semantics: single_target
    description: Unit economics analysis, CAC LTV estimation, churn inference, gross margin per unit, customer economics, subscription economics, per-unit profitability, contribution margin, payback period, cohort economics
    temporal_scope:
     default_quarters: 4
     max_quarters: 8
     description: "Typical lookback: 4 quarters, max: 8"
    allowed_tools:
     - search_companies
     - search_xbrl_facts
     - get_company_financials
     - get_company_profile
     - list_xbrl_concepts
     - search_knowledge_entries
     - get_knowledge_entry
     - search_by_analogue
    retrieval_scope: structured_only
    min_tool_diversity: 9
    ---
    
    # unit-economics
    
    ## Triggers
    
    - Unit economics analysis
    - CAC LTV estimation
    - churn inference
    - gross margin per unit
    - customer economics
    - subscription economics
    - per-unit profitability
    - contribution margin
    - payback period
    - cohort economics
    
    ## 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: structured_only`. It performs structured data retrieval only (XBRL facts, financials, earnings calendar) — no unstructured document search. Document-retrieval tools are excluded from `allowed_tools`.
    
    ### 2. Retrieval Strategy
    
    Follows the retrieval strategy decision tree in `contracts/retrieval.md`. Primary branch: **(a) Structured Data Query**. Resolve the canonical ticker first (exact → fuzzy alias → share-class) before any data call.
    
    ### 3. Temporal Scope
    
    Default lookback: 4 fiscal quarter(s); maximum: 8. 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)
    - `get_company_financials` — consolidated IS/BS/CF highlights
    - `get_company_profile` — sector/industry classification + metadata
    - `list_xbrl_concepts` — XBRL concept discovery for non-standard line items (`namespace` param; default `us-gaap` — use `ifrs-full` for foreign filers)
    
    ### 5. Protocol
    
    1. **Pre-flight (mandatory)**: call `get_company_fiscal_calendar/{ticker}` then `get_ticker_coverage/{ticker}`; route on coverage.
    2. **Concept discovery** (non-standard concepts only): `list_xbrl_concepts(query=<term>, ticker=<T>)`.
    3. **Structured retrieval**: `search_xbrl_facts(ticker, concept=[...], fiscal_year=[...])` (is_primary default) and/or `get_company_financials/{ticker}`.
    4. **Batch rule**: 3+ same-tool queries → consolidate via `batch_search` (≤8 sub-queries).
    5. **Output**: write the deliverable per `## Output File`, then append to `agentii.md`.
    
    ## Output File
    
    Write the final deliverable to `{ticker}/{YYYY-MM-DD_HHMM}_unit-economics_{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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