Discovery Md — Git skill for Claude Code
MOVED: now the pm-discovery plugin in github.com/mshadmanrahman/pm-pilot.
How to install Discovery Md
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open mshadmanrahman/discovery-md and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Discovery Md does
MOVED: now the pm-discovery plugin in github.com/mshadmanrahman/pm-pilot. Install: claude plugin marketplace add mshadmanrahman/pm-pilot
Alternatives in Git
- Contributing To Ctf-skills — Thanks for helping expand the CTF skills collection 820 ★
- 订阅当前仓库 Tap — brew tap chrlsio/agent-skills https://github.com/chrlsio/agent-skills brew install --cask agentskills 240 ★
- Create Worktree + Spawn Agent — git worktree add ../feat-custom-templates -b feat/custom-templates origin/main cd ../feat-custom-templates && 211 ★
README
This repo has moved
`discovery.md` now ships as the **`pm-discovery`** plugin inside [**PM Pilot**](https://github.com/mshadmanrahman/pm-pilot), installable in one line:
claude plugin marketplace add mshadmanrahman/pm-pilot claude plugin install pm-discovery@pm-pilot**Why move:** this repo told you to copy `SKILL.md` on its own, but the skill referenced four templates it never gave a path to. Every template reference was dead for anyone who followed the install instructions. The plugin bundles them properly.
**What you also get:** `interview-snapshot`, which verifies every quote it produces against the source transcript and labels anything it cannot match, instead of quietly inventing one. Teresa Torres measured roughly a 30% quote hallucination rate for AI interview synthesis. That guard is the reason to switch.
This repo is archived and read-only. The content below is preserved for reference.
discovery.md
AI-powered product discovery for PMs who don't have a UX researcher.
Get Started · How It Works · Example · Why
**Paste it into your AI. Say "I want to start product discovery." Your AI becomes a discovery copilot.**
It walks you through framing problems, planning interviews, synthesizing findings, and packaging evidence for stakeholders. Built on Teresa Torres's Opportunity Solution Tree, The Mom Test, and 14 years of product discovery practice.
No UX researcher required. No PhD in research methods. Just you, your AI, and real customer problems to solve.
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