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By RBraga01
AI growth quality enforcement: 6 skills and 3 agents for growth teams
npx claudepluginhub rbraga01/a-team --plugin builder-growthUse before any AI product messaging ships externally. Audits capability claims for accuracy, quantified claims for evidence, and "AI" labels for specificity. Blocks "10x productivity" without measurement and "AI-powered" without definition.
Use before any external-facing copy ships. Applies three tests — "so what?", "who cares?", and "why now?" — to every claim in the copy. Blocks "it explains what we do" completions.
Use before running any growth experiment — pricing test, copy variant, onboarding flow, feature gate — that will inform a ship/no-ship decision. All six elements must be defined before the test starts. Blocks "we'll run it for a while and see" completions.
Use before beginning any conversion rate optimisation effort. Requires the leak to be identified and root-caused before any solution is proposed. Blocks "let's improve our conversion rate" without knowing which step breaks.
Use before any marketing copy is written for a product, feature, or campaign. Requires a clear category, a specific audience, and a differentiated claim — verified against the "so what?" test — before any copy is produced. Blocks "we'll develop the messaging as we write" completions.
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Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Complete collection of battle-tested Claude Code configs from an Anthropic hackathon winner - agents, skills, hooks, and rules evolved over 10+ months of intensive daily use
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
Create new skills, improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, or benchmark skill performance with variance analysis.
Universal multi-agent infrastructure: 25 specialist agents, 17 enforced workflow skills, and a lead orchestrator
AI UI design quality enforcement: 8 skills and 5 agents for UI design teams
AI product quality enforcement: 8 skills and 5 agents for LLM product teams
AI product quality enforcement: 6 skills and 3 agents for product teams
Skills and agents that enforce quality in AI-assisted growth work: positioning that survives the "so what?" test, copy that clears the "who cares?" test, funnels diagnosed before they are optimised, experiments designed with stopping rules before they run, retention loops defined before launch, and AI capability claims reviewed for accuracy before they ship.
Works standalone or alongside A Team, builder-ai, builder-design, and builder-product.
| Skill | What It Enforces |
|---|---|
positioning-audit | Clear category, specific audience, and differentiated claim before any copy is written |
copy-quality-gate | "So what?", "who cares?", and "why now?" tests before any copy ships |
funnel-analysis | Leak identified and root-caused before any optimisation begins |
experiment-design | Hypothesis, metric, sample size, duration, stopping rule, decision rule before any test runs |
retention-design | Activation moment, habit loop, and reactivation path defined before launch |
ai-messaging-review | AI capability claims reviewed for source, scope, and accuracy — no unsourced quantified claims |
| Agent | Role |
|---|---|
growth-critic (Sonnet) | Reviews positioning, copy, and experiments against skill gates; PASS / CONDITIONAL / BLOCK |
experiment-designer (Sonnet) | Designs growth experiments with calculated sample sizes and pre-specified stopping rules |
messaging-reviewer (Opus) | Reviews AI product messaging for sourced claims, scoped capabilities, and specific AI labels |
# bash (macOS / Linux / WSL)
bash <(curl -fsSL https://raw.githubusercontent.com/RBraga01/builder-growth/master/install.sh)
# PowerShell (Windows)
irm https://raw.githubusercontent.com/RBraga01/builder-growth/master/install.ps1 | iex
Or clone directly:
git clone https://github.com/RBraga01/builder-growth
cp -rn builder-growth/skills your-project/
cp -rn builder-growth/.claude your-project/
| Pack | Domain | Skills | Agents |
|---|---|---|---|
| A Team | Engineering baseline | 18 | 25 |
| builder-ai | LLM engineering | 8 | 5 |
| builder-design | AI UI design | 8 | 5 |
| builder-product | Product quality | 6 | 3 |
| builder-growth | Growth & messaging | 6 | 3 |
All packs share the same enforcement model: Completion Statement Formats that require real values, not summaries.
MIT — Ricardo Romão Marques Braga