sickn33/agentic-awesome-skills
ab-test-setup
Use when designing an A/B or split test: define the hypothesis, control and variants, estimate sample size, verify tracking, and predeclare metrics and stopping rules.
Before you install
- Last update
- Files in folder
- 1
- Scripts
- No script files found
- SKILL.md size
- 8.8 KB (about 2,246 tokens of context each time it loads)
- License
- MIT
- Source on GitHub
- sickn33/agentic-awesome-skills
Skills are plain text instructions the agent follows, sometimes with scripts. Check the source, prefer repositories with many installs and stars, and read any script it ships.
Install
npx skills add sickn33/agentic-awesome-skills@ab-test-setupRuns in a terminal with Node.js 18 or newer. Add -y to skip the prompts and -g to install for every project instead of this one.
Install for your agent
npx skills add sickn33/agentic-awesome-skills@ab-test-setup --agent claude-code -y- Project install writes to
.claude/skills/ab-test-setup- Global install writes to
~/.claude/skills/ab-test-setup
Start a new session afterwards so the agent picks the skill up. In Claude Code you can also call it directly with /ab-test-setup.
What it does
A/B Test Setup 1️⃣ Purpose & Scope Define an experiment that can answer a specific product question, and verify its assumptions before exposing users. This procedure cannot guarantee validity by itself. - Documents the stopping rule - Estimates sample needs under stated assumptions - Makes the hypothesis and decision criteria reviewable --- 2️⃣ Pre-Requisites You must have: - A clear user problem - Access to an analytics source - Roughly estimated traffic volume Hypothesis Quality Checklist A valid hypothesis includes: - Observation or evidence - Single, specific change - Directional…
Excerpt from the skill's own SKILL.md. Read the full file on GitHub before installing: skills run with your agent's permissions.
Categories
Related skills
- 3d-web-experience
sickn33/agentic-awesome-skills
Use when building or debugging web 3D scenes, product configurators or portfolios with Three.js, React Three Fiber or Spline; review assets, loading, controls, fallbacks and performance.
- agent-memory-systems
sickn33/agentic-awesome-skills
Design tenant-scoped memory, retrieval and retention for agents. Use when planning RAG, conversation history, vector stores or remembering across sessions.
- agent-evaluation
sickn33/agentic-awesome-skills
Evaluate agent behavior with versioned cases and explicit verifiers. Use when comparing agent or prompt changes, reproducing failures, or running agent regression tests.
- agent-tool-builder
sickn33/agentic-awesome-skills
Tools are how AI agents interact with the world. A well-designed
- agent-manager-skill
sickn33/agentic-awesome-skills
Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) in an explicitly authorized workspace.
- agent-orchestration-multi-agent-optimize
sickn33/agentic-awesome-skills
Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.