Updated 4mo ago
by MaxKmet
idea-validation-agents
AI agents that act as your personal venture analyst - from startup idea brainstorming to full validation and go-to-market strategy. Built for developers who'd rather validate in 10 minutes than regret in six months. Powered by Claude Code, OpenAI Codex, and Cursor.
480 GitHub stars (480)
+11 in 20 days
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- 15 skills (15 skills found in its SKILL.md files)
- 57 forks (57 forks)
- 4mo ago last update (Last updated 4mo ago)
Install
Skills CLI
npx skills add MaxKmet/idea-validation-agents
Asks which skills and agents to install. Just one: npx skills add MaxKmet/idea-validation-agents --skill cac-modeler — add -g for every project.
Claude Code
git clone https://github.com/MaxKmet/idea-validation-agentscp -r "idea-validation-agents/skills/cac-modeler" ~/.claude/skills/
Copies the cac-modeler skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.
Plugin
/plugin marketplace add MaxKmet/idea-validation-agents
Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.
Skills can run code on your machine — read the SKILL.md first.
What it does
In the author's own words, from each skill's SKILL.md — showing the first 15 of 45 files.
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cac-modeler
Models LTV, CAC by channel, LTV:CAC ratios, and payback period for an indie developer. Uses market_insights to calibrate channel CPMs and competitive intensity. Includes indie budget tier definitions and viability thresholds.
skills/cac-modeler/SKILL.md on GitHub (opens in a new tab) -
competitor-mapper
Maps the full competitive landscape — direct, indirect, substitute, and emerging competitors — with positioning gap analysis, review mining, and market_insights-calibrated saturation scoring. Feeds into idea-scoring, cac-modeler, pricing-and-wtp, and tam-sam-som-builder.
skills/competitor-mapper/SKILL.md on GitHub (opens in a new tab) -
decision-memo
Writes a concise, human-readable decision brief summarizing the full validation analysis — including score, verdict, RAT experiment, pre-mortem, and tier-appropriate next actions. The document a founder actually acts on.
skills/decision-memo/SKILL.md on GitHub (opens in a new tab) -
desire-evaluator
Scores the strength of core human desire motivations (survival, status, belonging, control, curiosity) for a given app idea to predict user pull and retention potential.
skills/desire-evaluator/SKILL.md on GitHub (opens in a new tab) -
distribution-analysis
Evaluates organic reach potential, paid feasibility, platform distribution advantages, creator economy fit, and founder edge for a B2C app idea. Includes viral coefficient estimation, ASO scoring rubric, and tier-adjusted verdicts.
skills/distribution-analysis/SKILL.md on GitHub (opens in a new tab) -
idea-scoring
Aggregates all dimension scores into a final idea score (0–100) and issues a verdict. Implements a multiplicative-floor algorithm with Riskiest Assumption Test (RAT). The final output of every validation workflow.
skills/idea-scoring/SKILL.md on GitHub (opens in a new tab) -
pivot-engine
Generates structured pivot options for a scored idea based on weak dimensions, market_insights signals, and founder constraints. Includes scoring simulation, minimum viable pivot criteria, effort estimation, and indie buildability filtering.
skills/pivot-engine/SKILL.md on GitHub (opens in a new tab) -
pricing-and-wtp
Models willingness to pay using Van Westendorp price sensitivity analysis, desire-premium multipliers, category benchmarks, and market_insights monetization signals. Recommends pricing model, freemium conversion estimate, and annual/monthly strategy.
skills/pricing-and-wtp/SKILL.md on GitHub (opens in a new tab) -
retention-predictor
Predicts retention potential by evaluating usage frequency, habit formation mechanics, and churn risk factors for a B2C app idea.
skills/retention-predictor/SKILL.md on GitHub (opens in a new tab) -
tam-sam-som-builder
Estimates TAM, SAM, and realistic SOM for a B2C app idea using triangulated bottom-up methodology anchored to market_insights trend data, competitor revenue proxies, and community size signals. Includes indie capture rate benchmarks and growth-rate adjustments by trend velocity.
skills/tam-sam-som-builder/SKILL.md on GitHub (opens in a new tab) -
trend-analysis
Analyzes market trends across platforms (TikTok, Reddit, App Store, Google Trends) for a given topic or category. Writes a new file to memory/market_insights/.
skills/trend-analysis/SKILL.md on GitHub (opens in a new tab) -
trend-to-product-mapper
Maps viral social content and trending topics to concrete app opportunities by extracting the underlying problem and validating monetization fit.
skills/trend-to-product-mapper/SKILL.md on GitHub (opens in a new tab) -
user-background-interviewer
Conducts a deep background interview to understand what types of app ideas this specific user is most likely to succeed with based on their domain knowledge, networks, and skills.
skills/user-background-interviewer/SKILL.md on GitHub (opens in a new tab) -
user-segmentation-profiler
Classifies the user into an ICP tier (beginner/builder/growth) based on experience, constraints, and goals. Run once per user session before any workflow.
skills/user-segmentation-profiler/SKILL.md on GitHub (opens in a new tab) -
weakness-detection
Analyzes idea-scoring output to identify the weakest dimensions, root causes of low scores, and probable failure modes if the idea were pursued as-is.
skills/weakness-detection/SKILL.md on GitHub (opens in a new tab)
No skill matches that filter.
Review before you install
A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.