discovery
v0.1.0Continuous customer discovery: interview design, transcript synthesis, JTBD workshops, opportunity ideation, and the disciplines that keep discovery signal over noise.
By Mai Lam0 GitHub starsUpdated 2 days ago
Directory evidence
- Runtimes
- Claude Code
- Parsed components
- 10 skill or MCP entries
- Source updated
- Sep 21, 2026
- Manifest status
- Canonical path parsed
The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →
Install discovery for Claude Code
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install discovery@agent-plugin-marketplacePaste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.
The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.
Get the source manually
git clone https://github.com/maitlam/strategic-operatorClone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/discovery/.
Plugin files
├── .claude-plugin/plugin.json├── skills/brainstorm-experiments/SKILL.md├── skills/brainstorm-ideas/SKILL.md├── skills/customer-feedback-triage/SKILL.md├── skills/customer-interview-script/SKILL.md├── skills/discovery-cadence/SKILL.md├── skills/identify-assumptions/SKILL.md├── skills/interview-synthesis/SKILL.md├── skills/jtbd-workshop/SKILL.md├── skills/opportunity-solution-tree/SKILL.md└── skills/synthesize-research/SKILL.md
Included Skills10
Experiment design expert using pretotyping and lean validation for both new product concepts and existing product features.
Product ideation expert using Product Trio approach and Opportunity Solution Trees for both new and existing products.
Inbound customer-feedback triage system. Categorize, deduplicate, score, and respond to feature requests from support, sales, NPS, in-app feedback, and exec asks (Kano + Cagan). Feeds clean signal into prioritization-frameworks.
Run high-signal customer discovery interviews using a scripted question hierarchy, behavior-over-opinion probes, and rapport techniques drawn from Portigal, Torres, Fitzpatrick (Mom Test), and Lewis Lin.
Design or diagnose the operating rhythm of continuous customer discovery — the weekly beat that produces learning, not the one-off "round of interviews" that produces a report. Use when the user is setting up discovery for the first time, when their existing discovery has stalled, when they're trying to decide how much time to spend talking to customers, or when they ask "how often should we be doing this." Trigger on "discovery cadence," "continuous discovery," "how often should we talk to customers," or diagnosing why a discovery function has quietly stopped producing signal.
Assumption mapping expert that identifies, categorizes, and prioritizes product assumptions across 4-8 risk categories using devil's advocate analysis.
Customer interview synthesis: raw transcripts to themed insights, an opportunity solution tree, and follow-up questions (Teresa Torres continuous discovery). Use for post-interview synthesis, opportunity mapping, and evidence gap analysis.
Run a full Jobs-To-Be-Done discovery workshop with switch interviews, forces-of-progress mapping, ODI outcome scoring, and opportunity statements across 2hr, 4hr, and 8hr formats.
Opportunity Solution Tree (Teresa Torres) mapping outcomes → opportunities → solutions → assumption tests. Use when prioritizing discovery work, mapping solutions to a problem, or checking whether a roadmap moves outcomes.
Synthesize user research from interviews, surveys, and feedback into structured insights. Use when you have a pile of interview notes, survey responses, or support tickets to make sense of, need to extract themes and rank findings by frequency and impact, or want to turn raw feedback into roadmap recommendations.
Plugin manifests1
{
"name": "discovery",
"displayName": "Discovery",
"version": "0.1.0",
"description": "Continuous customer discovery: interview design, transcript synthesis, JTBD workshops, opportunity ideation, and the disciplines that keep discovery signal over noise.",
"author": {
"name": "Mai Lam"
},
"homepage": "https://github.com/maitlam/strategic-operator",
"repository": "https://github.com/maitlam/strategic-operator"
}For maintainers
If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.
[discovery on Agent Plugins Marketplace](https://pluginsmp.com/plugins/discovery)