Agent skill
innovation
Quellcode ansehen: travisjneuman/.claude
Installation
npx skills add travisjneuman/.claude --skill innovation160
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Innovation Expert
Comprehensive innovation frameworks for ideation, portfolio management, and innovation strategy.
Innovation Strategy
Innovation Horizons
THREE HORIZONS MODEL:
HORIZON 1 - CORE (70% of resources):
- Extend and defend core business
- Incremental improvements
- Process optimization
- Timeline: 0-2 years
- Risk: Low
- Returns: Known
HORIZON 2 - ADJACENT (20% of resources):
- Extend into new markets/products
- New capabilities
- Business model evolution
- Timeline: 2-5 years
- Risk: Medium
- Returns: Emerging
HORIZON 3 - TRANSFORMATIONAL (10% of resources):
- Create new businesses
- Disruptive innovation
- Emerging technologies
- Timeline: 5-10+ years
- Risk: High
- Returns: UncertainInnovation Types
| Type | Description | Example |
|---|---|---|
| Incremental | Improvements to existing | Product upgrades |
| Adjacent | New to company | New market entry |
| Disruptive | New to industry | Business model innovation |
| Radical | New to world | Breakthrough technology |
Innovation Portfolio
PORTFOLIO BALANCE:
BY TYPE:
- Core: 50-70%
- Adjacent: 20-30%
- Transformational: 10-20%
BY STAGE:
- Discovery: 40%
- Incubation: 30%
- Acceleration: 20%
- Scale: 10%
BY TIME HORIZON:
- Short-term (0-2 yr): 60%
- Medium-term (2-5 yr): 30%
- Long-term (5+ yr): 10%
PORTFOLIO METRICS:
- Pipeline value
- Stage conversion rates
- Time to market
- ROI by initiativeInnovation Processes
Design Thinking
DESIGN THINKING PHASES:
1. EMPATHIZE
- User research
- Observation
- Interviews
- Journey mapping
- Persona development
2. DEFINE
- Problem framing
- Point of view statement
- How might we questions
- Design principles
3. IDEATE
- Brainstorming
- Mind mapping
- Analogies
- Crazy 8s
- Concept selection
4. PROTOTYPE
- Low-fidelity mockups
- Paper prototypes
- Clickable wireframes
- Minimum viable product
5. TEST
- User testing
- Feedback collection
- Iteration
- ValidationSee Innovation Processes for detailed Design Thinking methodology, Stage-Gate process, and Lean Startup enterprise adaptation.
Stage-Gate Framework
STAGE-GATE MODEL:
GATE 1: Idea Screen → STAGE 1: Scoping
GATE 2: Second Screen → STAGE 2: Build Business Case
GATE 3: Decision to Develop → STAGE 3: Development
GATE 4: Decision to Test → STAGE 4: Testing & Validation
GATE 5: Launch Decision → STAGE 5: Launch
KEY GATES:
- Go/No-go decision points
- Criteria-based evaluation
- Resource allocation
- Risk assessmentSee Innovation Processes for complete Stage-Gate details, gate criteria, and deliverables for each stage.
Lean Startup in Enterprise
BUILD-MEASURE-LEARN:
BUILD:
- Minimum Viable Product (MVP)
- Experiment design
- Hypothesis formation
- Key assumptions
MEASURE:
- Validated learning
- Actionable metrics
- Split testing
- Customer feedback
LEARN:
- Pivot or persevere
- Insight generation
- Iteration planning
- Assumption validation
ENTERPRISE ADAPTATION:
- Innovation accounting
- Corporate sponsorship
- Governance integration
- Scale path definitionIdeation & Selection
Ideation Techniques
| Technique | Best For | Participants |
|---|---|---|
| Brainstorming | Volume of ideas | 5-10 |
| Brainwriting | Equal contribution | 6-12 |
| SCAMPER | Improving existing | 3-6 |
| Analogies | Novel solutions | 4-8 |
| Reverse Brainstorm | Problem avoidance | 5-10 |
| Design Sprint | Rapid prototyping | 5-7 |
Idea Evaluation
EVALUATION CRITERIA:
STRATEGIC FIT:
- Alignment with strategy
- Synergies with core business
- Brand consistency
MARKET POTENTIAL:
- Market size
- Growth potential
- Competitive advantage
- Customer need
TECHNICAL FEASIBILITY:
- Technical capability
- Resource availability
- Time to develop
- IP potential
FINANCIAL:
- Revenue potential
- Investment required
- Risk/return profile
- Payback period
SCORING MATRIX:
| Criteria | Weight | Score (1-5) | Weighted |
|----------|--------|-------------|----------|
| Strategic | 25% | | |
| Market | 30% | | |
| Technical | 25% | | |
| Financial | 20% | | |
| Total | 100% | | |Corporate Venture Capital
CVC Strategy
CVC OBJECTIVES:
STRATEGIC:
- Window on technology
- Access to innovation
- Market intelligence
- Partnership pipeline
- Ecosystem influence
FINANCIAL:
- Return on investment
- Portfolio diversification
- Option value
OPERATING MODEL:
| Model | Focus | Structure |
|-------|-------|-----------|
| Direct | Strategic | Internal team |
| LP Commitment | Financial + Access | Fund investment |
| Hybrid | Balanced | Both approaches |
INVESTMENT CRITERIA:
- Strategic relevance
- Team quality
- Market opportunity
- Technology differentiation
- Stage fit
- Terms alignmentCVC Best Practices
SUCCESS FACTORS:
GOVERNANCE:
- Clear mandate
- Decision rights
- Board representation
- Conflict management
INTEGRATION:
- Business unit sponsorship
- Commercial engagement
- Technology transfer
- Exit planning
PORTFOLIO:
- Diversification
- Stage balance
- Follow-on reserves
- Value-add services
METRICS:
- Financial return (IRR, MOIC)
- Strategic value realization
- Deal flow quality
- Portfolio company healthOpen Innovation
Open Innovation Models
| Model | Description | Example |
|---|---|---|
| Crowdsourcing | Mass participation | InnoCentive |
| Partnerships | Joint development | Research collaborations |
| Licensing In | Technology acquisition | University tech transfer |
| Licensing Out | IP monetization | Patent licensing |
| Spin-offs | New entities | Internal ventures |
| Accelerators | Startup support | Corporate accelerator |
External Innovation Program
PROGRAM COMPONENTS:
SCOUTING:
- Technology mapping
- Startup ecosystem
- Academic research
- Competitor monitoring
ENGAGEMENT:
- Partnership models
- Pilot programs
- Investment options
- Integration pathways
INTEGRATION:
- IP agreements
- Joint development
- Commercial terms
- Exit provisions
METRICS:
- Deals evaluated
- Partnerships formed
- Technologies adopted
- Value createdIntellectual Property Strategy
IP Portfolio Management
IP STRATEGY:
OFFENSIVE IP:
- Block competitors
- License revenue
- M&A leverage
- Market positioning
DEFENSIVE IP:
- Freedom to operate
- Litigation protection
- Cross-licensing
- Standard setting
PORTFOLIO DECISIONS:
- File vs. trade secret
- Geographic coverage
- Maintenance vs. abandonment
- Licensing strategy
IP METRICS:
- Patent grants/year
- Citation index
- License revenue
- Litigation successSee IP Strategy for detailed patent filing decisions, trade secret protection, licensing frameworks, and IP valuation methods.
Patent Strategy
PATENT FILING DECISION:
FILE PATENT WHEN:
- Technology is novel
- Enforcement is practical
- Long commercial life
- Competitive blocking value
- Licensing potential
TRADE SECRET WHEN:
- Process-based innovation
- Difficult to reverse engineer
- Rapid evolution expected
- Enforcement challenges
- Cost constraints
GEOGRAPHIC FILING:
- Key markets
- Manufacturing locations
- Competitor locations
- Enforcement capabilityInnovation Metrics
Innovation KPIs
| Category | Metric | Target |
|---|---|---|
| Input | R&D as % of revenue | Industry benchmark |
| Pipeline | Ideas in pipeline | Growing |
| Process | Time to market | Decreasing |
| Output | New product revenue | 20-30% of total |
| Efficiency | R&D ROI | > cost of capital |
Innovation Accounting
INNOVATION METRICS:
LEADING INDICATORS:
- Ideas submitted
- Experiments run
- Prototypes built
- Customer interviews
LAGGING INDICATORS:
- Products launched
- Revenue from new products
- Patents granted
- ROI achieved
LEARNING METRICS:
- Validated learnings
- Pivots completed
- Assumptions tested
- Time to learnInnovation Culture
Culture Building
INNOVATION CULTURE ELEMENTS:
TOLERANCE FOR FAILURE:
- Safe to experiment
- Learning from failure
- No blame culture
- Celebrate smart failures
RISK-TAKING:
- Encourage experimentation
- Support calculated risks
- Resource allocation
- Executive backing
COLLABORATION:
- Cross-functional teams
- Open communication
- Knowledge sharing
- External partnerships
EMPOWERMENT:
- Autonomy
- Decision rights
- Resource access
- RecognitionInnovation Programs
| Program | Purpose | Participants |
|---|---|---|
| Hackathons | Rapid ideation | All employees |
| Innovation Labs | Deep exploration | Dedicated team |
| Intrapreneurship | Venture building | Selected projects |
| Idea Challenges | Problem solving | Open submission |
| Learning Days | Skill building | All employees |
See Innovation Processes for detailed program formats, governance structures, and best practices.
Additional Resources
For comprehensive innovation management frameworks:
- Innovation Management Skill - Complete innovation reference
- Corporate Venture & Open Innovation - CVC and partnership strategies
- Innovation Processes - Design Thinking, Stage-Gate, Lean Startup details
- IP Strategy - Patent strategy, trade secrets, licensing
See Also
- R&D Management - Research portfolio management
- Product Management - Product strategy and roadmaps
- Business Strategy - Strategic planning
Installationen
Sicherheitsprüfung
Quellcode ansehen
travisjneuman/.claude
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So verwenden Sie diesen Skill
Install innovation by running npx skills add travisjneuman/.claude --skill innovation in your project directory. Führen Sie den obigen Installationsbefehl in Ihrem Projektverzeichnis aus. Die Skill-Datei wird von GitHub heruntergeladen und in Ihrem Projekt platziert.
Keine Konfiguration erforderlich. Ihr KI-Agent (Claude Code, Cursor, Windsurf usw.) erkennt installierte Skills automatisch und nutzt sie als Kontext bei der Code-Generierung.
Der Skill verbessert das Verständnis Ihres Agenten für innovation, und hilft ihm, etablierte Muster zu befolgen, häufige Fehler zu vermeiden und produktionsreifen Code zu erzeugen.
Was Sie erhalten
Skills sind Klartext-Anweisungsdateien — kein ausführbarer Code. Sie kodieren Expertenwissen über Frameworks, Sprachen oder Tools, das Ihr KI-Agent liest, um seine Ausgabe zu verbessern. Das bedeutet null Laufzeit-Overhead, keine Abhängigkeitskonflikte und volle Transparenz: Sie können jede Anweisung vor der Installation lesen und prüfen.
Kompatibilität
Dieser Skill funktioniert mit jedem KI-Coding-Agenten, der das skills.sh-Format unterstützt, einschließlich Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider und anderen Tools, die projektbezogene Kontextdateien lesen. Skills sind auf Transportebene framework-agnostisch — der Inhalt bestimmt, für welche Sprache oder welches Framework er gilt.