capx-ai/casa/casa-experiment
Claude Code and agent skill by capx-ai/casa
- community
Checking that the SKILL.md file is still in the repository.
Frame and run a growth, pricing, or product experiment with discipline: a hypothesis, one primary metric, a guardrail, a ship plan, and a read. Logs every experiment to an append-only ledger in the company brain so results compound. Use when designing an A/B test, a growth loop, a pricing change, or any deliberate bet you want to learn from.
Install
npx vskill@latest install capx-ai/casa/casa-experimentSKILL.md
casa-experiment
The experiment craft. Turns a vague "let us try X" into a falsifiable bet with a metric and a guardrail, and keeps a durable record so the company stops re-running losers.
Steps
- If
company-brain/profile.jsondoes not exist, tell the founder to run /casa-start
first and stop.
- Frame the hypothesis. State it as: if we do X, then primary metric M moves by
roughly E, because of mechanism C. A hypothesis with no mechanism is a guess.
- Define the read before you ship. Fix the one primary metric, the guardrail metric
that must not break, the audience and the window, and the decision rule (what result means ship, kill, or iterate). Check company-brain/experiments.jsonl and learnings.jsonl so you are not re-running something already settled.
- Log it at the start. Record the experiment in the ledger:
`` node ${CASA_ROOT:-${CLAUDE_PLUGIN_ROOT}}/scripts/brain.mjs experiment company-brain \ '{"id":"<slug>","hypothesis":"...","primary_metric":"...","guardrail":"...","window":"...","status":"running"}' ``
- Ship it. Execute the change (route any paid action to explicit founder
approval, any UI to casa-design, any copy to casa-write). Respect human gates.
- Read it honestly. When the window closes, read the result with
casa-readoutso the
analyst-honesty persona checks the window, the denominator, and the guardrail. Do not credit the change without the mechanism holding up.
- Close the loop. Log the outcome (
statuswon, lost, or inconclusive, plus the
number and the learning) back to the ledger, and run casa-compound so the lesson is reusable.
Rules
- No experiment without a primary metric and a guardrail defined before shipping.
- Every experiment is logged to the ledger, win or lose. The losses are the most
valuable record.
- No causal claim without the mechanism and a fair read.
- No em-dashes, no emojis.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/casa-experiment/SKILL.md
Popularity
- Repository stars
- 74
- Repository forks
- 3
- 7-day trend score
- 22
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
- Claude Code
- Cursor
- GitHub Copilot
- Windsurf
- Codex
- Gemini CLI
- Cline
- Amp
- Roo Code
- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
Embed badge
[](https://verified-skill.com/skills/capx-ai/casa/casa-experiment)