# Experiment

> Experiment

- Skill: `matteotitta/experiment` (Agent Skill)
- Install (CLI): `npx skillmds@latest add matteotitta/experiment`
- Raw SKILL.md: https://api.skillmd.com/api/skills/matteotitta/experiment/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: matteotitta (https://skillmd.com/u/matteotitta)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/matteotitta/experiment

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# /experiment — Track hypotheses, variants, and learnings

Stop re-testing what already failed. Stop forgetting what worked. This skill gives you a structured experiment tracking system that compounds knowledge across sessions — every test informs the next one.

For full schema, modes (new/log/review/suggest), and messaging-mode scoring → the premium reference.

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## Claude Code Triggers

**Invoke this skill when user says:**
- "/experiment new [description]"
- "/experiment log [experiment-id or description]"
- "/experiment review [domain]"
- "/experiment suggest [domain]"
- "New experiment:" or "I want to test..."
- "Log experiment result:" or "The results are in..."
- "What experiments have we run on...?"
- "What should I test next for...?"

**Do NOT invoke when:**
- User is doing A/B testing in code (development work)
- User wants to track bugs (use `/track-bug`)
- User wants general research (use context skills)

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## Modes (quick reference)

| Mode | Purpose | Required arg |
|------|---------|--------------|
| `/experiment new [description]` | Create experiment + variants | description (optional) |
| `/experiment log [id or description]` | Record results + learnings | id or description |
| `/experiment review [domain]` | Browse past experiments | domain (optional) |
| `/experiment suggest [domain]` | Recommend next test | domain |

For full mode workflows + output formats → the premium reference.

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## Domains

| Domain | Use for |
|--------|---------|
| `content` | LinkedIn hooks, post formats, content angles, newsletter subjects |
| `messaging` | Value props, positioning variants, CTA wording, taglines |
| `workflow` | Skill parameters, MCP configurations, prompt engineering |
| `outreach` | Email subject lines, sequences, cold outreach approaches |
| `pricing` | Packaging variants, pricing page layouts, discount strategies |

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## Database

**Location:** `.claude/experiments/experiments.db`
**Tables:** `experiments`, `variants`, `learnings`, `experiments_fts` (FTS5 index)

For full SQL schema + init script → the premium reference.

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## Integration with Other Skills

- **`/session-wrap`** — Auto-detects experiments discussed in a session, offers to log results
- **`/linkedin-content`** — Before generating new posts, checks for content experiments and applies learnings
- **`/outreach-emails`** — Before generating sequences, checks for outreach experiments
- **`/product-messaging`** — Before generating messaging, checks for messaging experiments
- **`/recall`** — Promoted experiment learnings are searchable via the recall index

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## Learning promotion

When a learning proves durable (validated by 2+ experiments), promote it:

1. **To MEMORY.md** — Add to relevant section as a permanent rule
2. **To CLAUDE.md** — If it's a formatting, voice, or workflow pattern
3. **To client CLAUDE.md** — If client-specific
4. Mark as `promoted = 1` in the learnings table

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