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Get Started Free →Apply Moore's business ecosystem framework to analyze how firms co-evolve through four stages (birth, expansion, authority, renewal) and occupy different ecosystem roles. Use this skill when the user needs to map ecosystem dynamics in a platform or industry, evaluate keystone vs dominator strategies, assess ecosystem health, or when they ask 'what stage is this ecosystem in', 'how should we position in this ecosystem', or 'why is this ecosystem declining despite having a dominant player'.
.claude/skills/asgard-ai-platform-grad-business-ecosystems/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-07 | ✗→✓ | ▲ Improved | 55% | 0% |
| case-02 | ✗→✓ | ▲ Improved | -9% | 0% |
| case-03 | ✗→✓ | ▲ Improved | -25% | 0% |
| case-05 | ✗→✓ | ▲ Improved | -25% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 2% | 0% |
Moore's business ecosystem framework conceptualizes industries as co-evolving communities of firms, customers, and other stakeholders that collectively create and capture value. Ecosystems progress through four stages (birth, expansion, authority, renewal), and participants occupy distinct roles — keystone, dominator, or niche player — each with different strategies and implications for ecosystem health.
IRON LAW: Ecosystem health depends on DIVERSITY and PRODUCTIVITY — a
dominant player that extracts too much value destroys the ecosystem
it depends on.Key assumptions:
Identify the ecosystem: core value proposition, platform or focal firm, and key participant categories (suppliers, complementors, customers, competitors).
| Stage | Characteristics | Key Challenge | |-------|----------------|---------------| | Birth | Entrepreneurs define value proposition around a seed innovation | Protect ideas, build initial partnerships | | Expansion | Scaling to broad market, attracting complementors | Achieve critical mass, fend off alternative ecosystems | | Authority | Stable architecture, clear leader, standards established | Maintain bargaining power, encourage continued innovation | | Renewal | Mature ecosystem faces disruption or stagnation | Reinvent or be displaced by new ecosystems |
Classify key participants: keystone (creates shared value, maintains platform health), dominator (captures most value, controls ecosystem), niche player (specializes in narrow segment).
Assess three health metrics: productivity (value created per participant), robustness (survival rate of participants), and niche creation (diversity of roles and opportunities).
markdown## Ecosystem Analysis: [Context] ### Ecosystem Definition - Core value proposition: [what the ecosystem delivers] - Focal firm/platform: [the central orchestrator] - Key participants: [complementors, suppliers, customers, competitors] ### Stage Assessment - Current stage: [birth / expansion / authority / renewal] - Evidence: [indicators supporting this assessment] - Trajectory: [evolving toward which next stage] ### Role Map | Participant | Role | Value Created | Value Captured | Strategy | |-------------|------|---------------|----------------|----------| | [name] | [keystone/dominator/niche] | [contribution] | [share] | [approach] | ### Health Assessment - Productivity: [high/medium/low] — [evidence] - Robustness: [high/medium/low] — [evidence] - Niche creation: [high/medium/low] — [evidence] - Overall health: [thriving / stable / declining / collapsing] ### Implications 1. [Strategic recommendation for target firm] 2. [Risk of ecosystem decline and mitigation]
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-07 | fail→pass | 19,045 | 22,179 | +16% | 1 | 1 | 0% | 2,816 | 4,360 | +55% | 0 | 0 | — |
case-01 | fail→fail | 53,236 | 31,163 | -41% | 1 | 1 | 0% | 7,373 | 4,644 | -37% | 0 | 0 | — |
case-02 | fail→pass | 30,154 | 21,381 | -29% | 1 | 1 | 0% | 4,885 | 4,467 | -9% | 0 | 0 | — |
case-03 | fail→pass | 39,967 | 22,824 | -43% | 1 | 1 | 0% | 6,327 | 4,774 | -25% | 0 | 0 | — |
case-04 | pass→pass | 22,757 | 22,851 | +0% | 1 | 1 | 0% | 3,815 | 4,624 | +21% | 0 | 0 | — |
case-05 | fail→pass | 50,252 | 33,135 | -34% | 1 | 1 | 0% | 8,236 | 6,212 | -25% | 0 | 0 | — |
case-06 | fail→pass | 18,828 | 12,344 | -34% | 1 | 1 | 0% | 2,893 | 2,940 | +2% | 0 | 0 | — |
case-08 | fail→pass | 11,564 | 14,426 | +25% | 1 | 1 | 0% | 1,585 | 3,156 | +99% | 0 | 0 | — |
case-09 | fail→pass | 18,298 | 27,345 | +49% | 1 | 1 | 0% | 2,751 | 5,045 | +83% | 0 | 0 | — |
case-10 | fail→fail | 8,959 | 5,271 | -41% | 1 | 1 | 0% | 1,428 | 1,939 | +36% | 0 | 0 | — |
case-11 | pass→pass | 10,600 | 8,323 | -21% | 1 | 1 | 0% | 1,482 | 2,389 | +61% | 0 | 0 | — |
case-12 | fail→pass | 16,437 | 20,405 | +24% | 1 | 1 | 0% | 2,514 | 4,074 | +62% | 0 | 0 | — |
case-13 | pass→pass | 10,540 | 12,134 | +15% | 1 | 1 | 0% | 1,610 | 2,855 | +77% | 0 | 0 | — |
case-14 | fail→fail | 19,329 | 20,290 | +5% | 1 | 1 | 0% | 2,733 | 3,741 | +37% | 0 | 0 | — |
case-15 | pass→pass | 13,145 | 15,220 | +16% | 1 | 1 | 0% | 2,150 | 3,474 | +62% | 0 | 0 | — |
case-16 | fail→pass | 10,948 | 5,723 | -48% | 1 | 1 | 0% | 1,784 | 2,022 | +13% | 0 | 0 | — |
case-17 | fail→pass | 19,301 | 13,673 | -29% | 1 | 1 | 0% | 2,577 | 3,060 | +19% | 0 | 0 | — |
case-18 | fail→pass | 21,316 | 16,493 | -23% | 1 | 1 | 0% | 3,132 | 3,403 | +9% | 0 | 0 | — |
case-19 | pass→pass | 13,411 | 11,090 | -17% | 1 | 1 | 0% | 2,158 | 2,840 | +32% | 0 | 0 | — |
case-20 | fail→pass | 13,805 | 14,228 | +3% | 1 | 1 | 0% | 2,207 | 3,378 | +53% | 0 | 0 | — |
case-21 | pass→pass | 15,961 | 13,994 | -12% | 1 | 1 | 0% | 2,555 | 3,241 | +27% | 0 | 0 | — |
case-22 | pass→pass | 17,154 | 16,996 | -1% | 1 | 1 | 0% | 2,645 | 3,613 | +37% | 0 | 0 | — |
case-23 | fail→pass | 41,320 | 16,959 | -59% | 1 | 1 | 0% | 6,961 | 3,848 | -45% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 23 cases were attempted. The headline lift of +57 percentage points is the difference between those two pass rates over the 23 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.