agentsclimarketplace

Jtbd growth strategist

Skill lishix520/jtbd-skills/skills/jtbd-growth-strategist

Modular agent skills for Jobs-to-be-Done and Outcome-Driven Innovation research.

Install
npx -y skills add lishix520/jtbd-skills --skill jtbd-growth-strategist

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 14 days oldThe repository was created 14 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
  • 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Map quantitative Opportunity Scores and market evidence to candidate growth strategies (differentiated, dominant, disruptive, discrete, sustaining). Use when given opportunity calculation results, segment metadata, and structured price/cost/performance evidence, and asked to evaluate strategic positioning or disconfirming evidence. Do not use to invent market evidence or recommend product strategy without required prerequisites.

SKILL.md

5.4 KB, ~1.1k tokens by cl100k_base, as published. Nobody here has run it

JTBD Growth Strategist

Audit your market evidence before deciding to raise prices, differentiate, cut costs, or target a niche.


Use this when

  • You have quantitative Opportunity Scores ($Opp \ge 10.0$) AND structured market evidence (price willingness-to-pay, unit cost, performance benchmarks, or environmental constraints).
  • You want to evaluate whether a proposed strategy (differentiated, dominant, disruptive, discrete, sustaining) has sufficient prerequisite evidence.
  • You want to identify disconfirming evidence that contradicts a proposed strategy.

Don't use this when

  • You only have qualitative interview notes or complaints without market evidence (use jtbd-context-explorer or jtbd-forces-analyzer).
  • You have not yet computed quantitative Opportunity Scores (use jtbd-opportunity-calculator).
  • You want to invent pricing or strategy recommendations without data.

Minimum input

  • Minimum Input: opportunity_analysis results from jtbd-opportunity-calculator, target segment_definition, and structured market evidence (price_evidence, cost_evidence, performance_evidence, constraint_evidence). If required evidence is missing, returns status: insufficient_evidence.

What you get

  1. Decision Readiness Summary: Decision under review, present evidence, missing evidence, what cannot be decided yet, and the smallest next research step.
  2. Strategy Assessment Status: evidence_aligned (all prerequisites met), hypothesis_only ($N < 100$), or insufficient_evidence (missing evidence).
  3. Excluded Strategies: Explicit reasons and contradicting evidence for excluded strategies.

Quick prompt

"Audit market evidence and evaluate candidate growth strategies for this opportunity dataset: '[Paste opportunity results and market evidence]'."

What to do next

  • Status is insufficient_evidence? Use decision_readiness.smallest_next_research_step to gather missing price WTP, cost-to-serve, or performance benchmark evidence via jtbd-switch-interview or user surveys.

Strategy Matrix Prerequisites

Performance / Price / Cost Strategies

StrategyMinimum Evidence Prerequisites
differentiatedUnderserved outcomes ($Opp \ge 12.0$) AND structured price_evidence showing willingness to pay a premium AND structured performance_evidence showing superior capability.
dominantUnderserved outcomes ($Opp \ge 10.0$) AND structured performance_evidence showing superior performance AND cost_evidence showing lower or parity cost-to-serve.
disruptiveOverserved outcomes ($Opp < 8.0$) OR non-consumption evidence AND structured cost_evidence supporting low-cost position and sufficient performance.
sustainingAppropriately served outcomes ($8.0 \le Opp < 10.0$) in core market; requires parity price and cost structure for incremental performance.

Context-Specific Strategy

StrategyMinimum Evidence Prerequisites
discrete1. Environmental, regulatory, security, geographic, or workflow constraint.<br>2. Segment outcome priorities demonstrably different from mainstream users.<br>3. Operational evidence supporting solution feasibility under the constraint.

Strategy Assessment Status Discipline

  • evidence_aligned:
    • opportunity_analysis.data_quality_status == "complete"
    • opportunity_analysis.calculation_status == "completed"
    • methodological_assessment.sample_size_status == "adequate" ($N \ge 100$)
    • The selected candidate strategy meets EVERY prerequisite specified in its own rule with structured, sourced evidence
    • No unmitigated disconfirming evidence exists
  • hypothesis_only:
    • methodological_assessment.sample_size_status == "small" ($N < 100$), OR evidence relies on unverified domain rationale. Candidate strategies are explicitly labeled as hypotheses.
  • insufficient_evidence:
    • opportunity_analysis.calculation_status != "completed", OR required evidence for the candidate strategy is missing.

Output Format

decision_readiness:
  decision_under_review: ""
  evidence_present: []
  evidence_missing: []
  what_cannot_be_decided_yet: []
  smallest_next_research_step: ""

strategy_assessment:
  status: evidence_aligned | hypothesis_only | insufficient_evidence
  primary_rationale: ""

candidate_strategies:
  - strategy: differentiated | dominant | disruptive | discrete | sustaining
    confidence: high | medium | low
    strategic_fit_rationale: ""
    supporting_outcomes: []
    prerequisite_conditions: []

excluded_strategies:
  - strategy: differentiated | dominant | disruptive | discrete | sustaining
    reason: ""
    contradicting_evidence: []

disconfirming_evidence: []
evidence_gaps: []
next_validation_actions: []

Reference

Read references/growth-strategy-matrix-rules.md before:

  • Checking price, cost, and performance evidence schemas
  • Verifying discrete strategy prerequisite constraints
  • Identifying disconfirming market evidence

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.