Agent skill

Inspired Product

by wondelai in wondelai/skills

Build empowered product teams using discovery and delivery dual-track.

MITAuto-check passedProduct & Project Management

Install Inspired Product

skills CLI
$ npx skills add wondelai/skills --skill inspired-product -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install wondelai/skills inspired-product --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/wondelai/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/inspired-product .claude/skills/inspired-product && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
inspired-product
GitHub stars
2.4k
Token cost
~4k tokens
SKILL.md length
1,917 words
Files
7 (incl. references)
Skills in repo
62
Repo updated
First seen
Licence
MIT

At a glance

Build empowered product teams using discovery and delivery dual-track.

  • Works in 6 steps: Product Discovery vs Delivery → Empowered Product Teams → Product Discovery Techniques → …
  • The user mentions product discovery
  • SKILL.md covers Core Principle, Scoring, Framework and Common Mistakes, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Inspired Product is an agent skill from wondelai/skills. Build empowered product teams using discovery and delivery dual-track. Use when the user mentions "product discovery", "empowered teams", "feature factory", "opportunity assessment", "product vision", "product strategy", "what should we build", or "our roadmap is just a feature list". Also trigger when restructuring teams away from output-driven models, or deciding what to build next based on outcomes. Covers discovery techniques, team structure, opportunity assessment, vision/strategy, and continuous delivery…

Its SKILL.md is about 4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `references/case-studies.md`, `references/discovery-techniques.md` and `references/empowered-teams.md`).

It sits in Product & Project Management, covering Product strategy, CI/CD and User research. The repository describes itself as: Wondel.ai Agent Skills — Business, Marketing, UX & Coding Frameworks from Bestselling Books. 50 skills + 12 guided journeys for Claude Code, Codex, Cursor & other agentskills.io… The licence is MIT.

When your agent uses it

  • The user mentions product discovery
  • Empowered teams
  • Feature factory
  • Opportunity assessment

Example prompts

  • “product discovery”
  • “empowered teams”
  • “feature factory”
  • “/inspired-product”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Product Discovery vs Delivery
  2. Empowered Product Teams
  3. Product Discovery Techniques
  4. Opportunity Assessment
  5. Product Vision and Strategy
  6. Continuous Value Delivery

What it can do on your machine

Read from SKILL.md and the folder at commit c172996. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • amazon.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Inspired Product loads about 4k tokens when it runs, and up to ~25k if it reads all its reference files. Until then it costs about 157 tokens; SKILL.md has 1,917 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~157
When it runs · the whole SKILL.md, loaded when a task matches
~4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~25k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from wondelai/skills at commit c172996, republished under its MIT licence (© wondelai). 1,917 words, ~3,965 tokens.

Download SKILL.mdSave it as .claude/skills/inspired-product/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
inspired-product
description
Build empowered product teams using discovery and delivery dual-track. Use when the user mentions "product discovery", "empowered teams", "feature factory", "opportunity assessment", "product vision", "product strategy", "what should we build", or "our roadmap is just a feature list". Also trigger when restructuring teams away from output-driven models, or deciding what to build next based on outcomes. Covers discovery techniques, team structure, opportunity assessment, vision/strategy, and continuous delivery. For customer interviews, see mom-test. For ongoing discovery systems, see continuous-discovery.
license
MIT
metadata.author
wondelai
metadata.version
1.4.0

Empowered Product Teams Framework

Framework for building products customers love through empowered teams that own continuous discovery and delivery. The best product companies don't ship features -- they solve problems, and they give teams the autonomy and accountability to figure out how.

Core Principle

Empowered product teams = cross-functional groups given problems to solve (not features to build) who own discovery and delivery end-to-end.

Most product failures come not from bad engineering or design but from building things nobody wants. Feature teams receive roadmaps and execute; empowered teams receive objectives and discover solutions. The difference between a feature factory and an innovation engine is whether teams are missionaries (driven by vision and empathy) or mercenaries (driven by a handed-down backlog).

Scoring

Goal: 7/7. Score product team structures, discovery practices, or delivery processes by the Quick Diagnostic below -- 1 point per satisfied row, scored 0-7. Bands: 6-7 = empowered teams own outcomes and discovery runs continuously with engineers; 4-5 = discovery happens but inconsistently, or teams own output with partial outcome accountability; <=3 = a feature factory: teams receive a roadmap of dated features and skip discovery. Always state the current score and the specific failed diagnostic rows to fix to reach 7/7.

Framework

1. Product Discovery vs Delivery

Core concept: Product work runs on two parallel tracks: discovery determines what to build by addressing risks before engineering investment; delivery builds production-quality software. Most organizations skip discovery entirely, jumping from idea to backlog to sprint.

Why it works: Discovery is cheap and fast; delivery is expensive and slow. Validating ideas before committing engineering avoids the most common failure mode: building something nobody wants.

Key insights:

  • Discovery answers four risks: value (will customers use it?), usability (can they figure it out?), feasibility (can we build it?), viability (does it work for the business?)
  • Discovery output is validated ideas backed by evidence, not PRDs or specifications
  • Run 10-20 discovery iterations per feature that reaches delivery -- most ideas won't work, so fail fast and cheap
  • Discovery is not a phase; it runs continuously alongside delivery, with engineers participating

Product applications:

ContextApplicationExample
New featureValidate all four risks before committingPrototype-test onboarding flow with 5 users before building
Roadmap prioritizationPrioritize strongest discovery evidenceShip the feature with 4/5 successful user tests, not the CEO's request
Sprint planningFeed backlog from validated discovery outputOnly discovery-tested items enter the sprint

Ethical boundary: Never cherry-pick discovery evidence to justify a conclusion you already chose; report the tests that failed alongside the ones that passed.

See references/discovery-techniques.md when planning a discovery cycle -- the four-risks framework, a 5-stage interview script, prototyping techniques, and concrete evidence thresholds for "validated".

2. Empowered Product Teams

Core concept: A small, durable, cross-functional group (product manager, product designer, engineers) given a problem to solve, owning discovery and delivery, accountable for outcomes rather than output.

Why it works: The people closest to the customer and the technology find better solutions than a remote roadmap author -- and a team that discovered the solution itself defends and refines it under pressure, where a team handed a spec ships it and moves on.

Key insights:

  • The PM is not a project manager or backlog administrator -- they own value and viability and need deep knowledge of customers, data, business, and industry
  • The product designer owns the user experience holistically, not just visual design
  • Engineers are the best source of innovation because they know what is technically possible
  • Keep teams durable (stable membership) and highly collaborative
  • Accountability means outcomes (adoption, retention, revenue), not output (stories shipped)

Product applications:

ContextApplicationExample
Team structureOrganize around outcomes, not components"New user activation" team owns the whole first-week experience
HiringHire PMs for competence, not credentialsEvaluate customer knowledge, data fluency, business acumen
PerformanceMeasure results, not velocityTrack activation-rate improvement, not stories per sprint

Ethical boundary: Never claim to empower teams while overriding their discovery findings with executive mandates -- if leadership dictates the solution, the team is not empowered.

See references/empowered-teams.md when staffing or diagnosing a team -- role-by-role competence breakdowns with red flags, missionary vs mercenary dynamics, coaching, and a feature-factory-to-empowered transformation table.

3. Product Discovery Techniques

Core concept: Systematically test ideas against the four risks using opportunity assessment, customer interviews, prototyping, and user testing -- producing evidence quickly and cheaply.

Why it works: Ideas are assumptions; without rapid testing, teams build for months on untested assumptions and discover failure only after launch. Discovery techniques compress learning cycles from months to days.

Key insights:

  • Prototypes are the primary tool: high-fidelity for usability, live-data for feasibility, Wizard of Oz for value
  • Test with real target users, not colleagues; qualitative testing (5 users) reveals problems, quantitative validates at scale
  • Interview for behavior (what they did), not opinion (what they say they want)
  • Data reveals patterns but not causes -- pair it with qualitative discovery
  • Feasibility spikes let engineers explore technical risk without full implementation

Product applications:

ContextApplicationExample
Early ideaOpportunity assessment before design workWho is it for, what problem, how will we measure success?
UsabilityHigh-fidelity prototype with 5 target usersClickable Figma prototype testing task completion
ValueFake door or Wizard of Oz testButton for unbuilt feature, measure click-through
FeasibilityEngineering spikeTwo-day investigation of real-time sync risk

Ethical boundary: Never deceive users beyond what valid results require -- Wizard of Oz prototypes are acceptable; collecting payment for non-existent products is not.

4. Opportunity Assessment

Core concept: Before investing in any opportunity, evaluate business value, customer need severity, market context, and organizational readiness against a structured set of questions.

Why it works: Organizations have far more ideas than capacity; without rigorous assessment, teams default to the loudest stakeholder or competitor parity. A shared framework kills bad ideas early and focuses resources on high-impact work.

Key insights:

  • Key questions: What business objective does this serve? Who is the target customer? What problem? How will we know we succeeded? What alternatives exist?
  • Severity of the customer problem matters more than elegance of the solution
  • Market timing is critical -- too early is as dangerous as too late
  • Check organizational readiness: skills, technology, go-to-market capability
  • Share assessments broadly to build alignment before committing resources

Product applications:

ContextApplicationExample
Quarterly planningScore all candidates on consistent criteriaCustomer severity, business impact, feasibility per opportunity
Stakeholder requestsRespond with assessment, not commitment"Let me assess this and share findings before we commit engineering"
Resource allocationFund highest-assessed opportunitiesSevere pain + clear business alignment beats the nice-to-have

See references/opportunity-assessment.md when sizing a new opportunity before design work -- the full evaluation-question set, market-timing assessment, and prioritization scoring.

See references/stakeholder-management.md when an executive or sales stakeholder hands you a solution or a HiPPO is steering the roadmap -- stakeholder mapping, turning a mandate into a problem to assess, evangelism, and building executive trust.

Show full SKILL.md (796 more words)Show less
5. Product Vision and Strategy

Core concept: Vision describes the future you're building toward (2-5 years out); strategy sequences the target markets, problems, and solutions that will realize it. Together they give empowered teams the context to make good autonomous decisions.

Why it works: Without vision, teams make disconnected decisions; without strategy, they chase everything and achieve nothing. Vision inspires; strategy focuses.

Key insights:

  • Vision is inspiring and customer-centric -- the world you want to create, not a feature list
  • Strategy sequences the hard choices: which customers first, which problems first, which solutions first
  • Product principles are guardrails for decisions the strategy doesn't cover
  • OKRs translate strategy into measurable team objectives; outcome-based roadmaps communicate intent without prescribing solutions
  • Revisit vision annually, strategy quarterly; principles change rarely

Product applications:

ContextApplicationExample
Company alignmentVision aligns all teams on a shared future"Every small business can access world-class financial tools"
Team autonomyStrategy scopes each team's focus"This quarter: cut mid-market churn via top 3 pain points"
Decision-makingPrinciples resolve tradeoffs"When in doubt, choose simplicity over power"

Ethical boundary: Never present a vision you know is unachievable to motivate teams or attract investment.

See references/product-vision.md when drafting or revisiting vision and strategy -- how to write each, product principles, translating strategy into OKRs, and building outcome-based roadmaps.

6. Continuous Value Delivery

Core concept: Delivery is not a launch event but a continuous flow of small, validated increments shipped to real users as frequently as possible.

Why it works: Large infrequent releases accumulate risk, delay learning, and create coordination nightmares. The feedback loop between delivery and discovery compounds into a learning engine: ship, measure, learn, adjust.

Key insights:

  • Ship small and often; every release is a learning opportunity
  • Instrumentation is not optional -- if you cannot measure it, you cannot learn from it
  • Feature flags decouple deployment from release, enabling controlled rollouts and quick rollbacks
  • MVP is the smallest release that tests a hypothesis, not a half-built product
  • Manage technical debt like financial debt: conscious tradeoffs

Product applications:

ContextApplicationExample
Release planningIndependently shippable incrementsBasic search first, then filters, then saved searches
Risk managementFeature flags for controlled rolloutShip to 5%, measure, expand or roll back
Learning loopsInstrument every release to feed discoveryLow search usage triggers a discovery investigation

Ethical boundary: Never ship a change you cannot roll back; gate anything risky behind a flag you can flip off.

See references/case-studies.md when you want a worked example before applying the framework -- these principles played out at startup, growth, and enterprise stages.

Common Mistakes

MistakeWhy It FailsFix
Treating PMs as project managersOrder-takers with no ownership of value or viabilityHire for customer knowledge, data fluency, business acumen; hold accountable for outcomes
Skipping discoveryMonths of engineering on features nobody wantsRequire validated evidence before ideas enter the delivery backlog
Measuring output, not outcomesTeams optimize shipping speed over customer valueDefine success as adoption, retention, revenue impact
Handing teams solutions, not problemsFeature factories with no motivation or creativityAssign objectives and key results; let teams discover solutions
Isolating engineers from customersBest source of innovation never sees the problemInclude engineers in interviews, discovery, prototype testing
Roadmaps of promised features with datesCommitments calcify before discovery can validateUse outcome-based roadmaps: problems to solve, not features

Quick Diagnostic

QuestionIf NoAction
Can your PM cite the top 3 customer problems from direct observation?PM lacks customer knowledgeWeekly customer contact: interviews, support shadowing, testing
Do you test ideas with real users before building?Skipping discoveryPrototype-test with 5 target users for every significant idea
Are engineers involved in discovery, not just delivery?Underusing your best innovatorsInvite engineers to interviews and prototype sessions
Does the team own outcomes (metrics), not output (features)?Feature factoryReplace feature roadmaps with outcome OKRs
Can team members explain the vision and strategy?No context for autonomous decisionsCreate and evangelize a vision doc and quarterly strategy
Do stakeholders bring problems, not solutions?Leadership dictating featuresCoach stakeholders on discovery; pre-sell with opportunity assessments
Do you ship validated increments at least every two weeks?Too slow to learnSmaller increments; invest in CI/CD and feature flags

Further Reading

For the complete methodology, case studies, and deeper insights:

About the Author

Marty Cagan is the founder of Silicon Valley Product Group (SVPG) and a former VP of Product at eBay, with senior product roles at HP, Netscape, and AOL. His book Inspired (2008; 2nd ed. 2017) became the definitive guide to modern product management, and Empowered (2020) extends the framework to product leadership. Through SVPG he coaches product teams from startups to Fortune 500 enterprises.

© wondelai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (references) in inspired-product of wondelai/skills.

  • SKILL.md
  • references/case-studies.md
  • references/discovery-techniques.md
  • references/empowered-teams.md
  • references/opportunity-assessment.md
  • references/product-vision.md
  • references/stakeholder-management.md

Open the folder on GitHubat commit c172996

Compare with similar skills

Inspired Product next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Product Discovery Processdeanpeters/Product-Manager-Skills7.2k1 repos~4.9kAutomated safety check: PassCustom licence
Gingiris User InterviewGingiris-1031/Competitor-analysis-tool110—~1.2kAutomated safety check: PassNone
Jobs To Be Done Analysisdeanpeters/Product-Manager-Skills7.2k1 repos~3.5kAutomated safety check: PassCustom licence
Lean UX Canvas v2deanpeters/Product-Manager-Skills7.2k1 repos~6.2kAutomated safety check: PassCustom licence

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Questions about Inspired Product

What does Inspired Product do?

Build empowered product teams using discovery and delivery dual-track. Inspired Product is an agent skill from wondelai/skills. Build empowered product teams using discovery and delivery dual-track.

When should I use Inspired Product?

Inspired Product fits situations like: the user mentions product discovery; empowered teams; feature factory; opportunity assessment.

How do I install Inspired Product in Claude Code?

Run `npx skills add wondelai/skills --skill inspired-product -a claude-code`. Or copy the skill folder (inspired-product in wondelai/skills) into .claude/skills/inspired-product in your project. Claude Code loads it when a task matches its description.

How do I install Inspired Product in Codex?

Run `npx skills add wondelai/skills --skill inspired-product -a codex`. Or copy the skill folder (inspired-product in wondelai/skills) into .agents/skills/inspired-product in your project. Codex loads it when a task matches its description.

Can I use Inspired Product in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wondelai/skills --skill inspired-product -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/inspired-product, .gemini/skills/inspired-product, .github/skills/inspired-product and .opencode/skills/inspired-product in your project.

What does Inspired Product need to run?

SKILL.md names no scripts, command-line tools or credentials: Inspired Product is instructions for the agent only.

Does Inspired Product access the network?

SKILL.md names 1 domain. As links in the text: amazon.com. This is read from the text; nothing was executed.

Is Inspired Product safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Inspired Product use?

Inspired Product is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Inspired Product use?

About 4k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 21k tokens, read only when the agent opens those files.

What are the alternatives to Inspired Product?

Skills that share tags, products or a category with Inspired Product: Opportunity Solution Tree (avelikiy/great_cto, 103 stars), Product Discovery Process (deanpeters/Product-Manager-Skills, 7.2k stars), Gingiris User Interview (Gingiris-1031/Competitor-analysis-tool, 110 stars) and Jobs To Be Done Analysis (deanpeters/Product-Manager-Skills, 7.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Inspired Product?

wondelai (a GitHub organization) maintains it in wondelai/skills, which has 2,371 GitHub stars. The repository holds 62 skills in this directory. The repository was last updated on September 10, 2026.

Source: wondelai/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.