Agent skill

continuous-discovery

Build a weekly cadence of customer touchpoints using Opportunity Solution Trees, assumption mapping, and interview snapshots. Use when the user mentions "continuous discovery", "opportunity solution tree", "weekly interviews", "assumption testing", "discovery habits", "product trio", "outcome-based roadmap", "how do I talk to customers regularly", "we keep building things nobody uses", or "connect research to the roadmap". Also trigger when setting up regular customer feedback loops, prioritizing which experiments to run, or tying discovery insights to delivery work. Covers experience mapping,

wondelaigithub.com/wondelaiGitHub ↗
claude-codeMIT
Install
npx skills add wondelai/skills --skill continuous-discovery --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 7
SKILL.md size: 15 KB
Bundled scripts: none
Version: 1.4.0
Declared author: wondelai
Path: continuous-discovery/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,835
Language: Shell
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Continuous Discovery Habits Framework Framework for building a sustainable weekly practice of customer discovery that keeps product teams progressing toward desired outcomes. Discovery is not a phase before development — it is embedded in the ongoing rhythm of product work so every decision is informed by fresh evidence. ## Core Principle **Good product discovery requires a continuous cadence, not a one-time event.** Teams that talk to customers every week, map opportunities visually, and test assumptions before building consistently outperform teams that rely on intuition, stakeholder opinions, or quarterly research cycles. The benchmark: at least one customer touchpoint per week, every week, by the product trio (product manager, designer, engineer). ## Scoring **Goal: 10/10.** Score a discovery practice by the seven Quick Diagnostic rows below — start at 3, add 1 point per row answered "yes" (max 10). Bands: **9-10** = weekly cadence, a living Opportunity Solution Tree, systematic assumption testing, and every shipped feature traceable to a customer opportunity; **5-6** = some discovery happening but ad hoc, PM-only, or disconnected from delivery; **≤3** = intuition- and stakeh

What's inside
Steps it walks through
  1. Core Principle
  2. Scoring
  3. Framework
  4. 1. Opportunity Solution Trees
  5. 2. Experience Mapping
  6. 3. Interview Snapshots
  7. 4. Assumption Testing
  8. 5. Prioritizing Opportunities
  9. 6. Building the Habit
  10. Common Mistakes
  11. Quick Diagnostic
  12. Further Reading
  13. About the Author
Ships with 6 files
  • references/assumption-mapping.md
  • references/case-studies.md
  • references/experience-mapping.md
  • references/interview-snapshots.md
  • references/opportunity-trees.md
  • references/prioritization-methods.md
More from skills
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About this skill
What does the continuous-discovery skill do?

Build a weekly cadence of customer touchpoints using Opportunity Solution Trees, assumption mapping, and interview snapshots. Use when the user mentions "continuous discovery", "opportunity solution tree", "weekly interviews", "assumption testing", "discovery habits", "product trio", "outcome-based roadmap", "how do I talk to customers regularly", "we keep building things nobody uses", or "connect research to the roadmap". Also trigger when setting up regular customer feedback loops, prioritizing which experiments to run, or tying discovery insights to delivery work. Covers experience mapping,

How do I install it?

Run `npx skills add wondelai/skills --skill continuous-discovery --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From wondelai/skills, a repository with 1,835 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going