rd-management
R&D management expertise for R&D portfolio management, technology roadmapping, research methodology, patent strategy, lab management, academic partnerships…
Skill by travisjneuman
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/travisjneuman-rd-management
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About
Use cases: research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/rd-management
What's inside
- Skill name
rd-management- Description
- R&D management expertise for R&D portfolio management, technology roadmapping, research methodology, patent strategy, lab management, academic partnerships, and regulatory pathways. Use when managing research programs, planning technology roadmaps, or building patent portfolios.
- License
- MIT
- Instructions
- 306 lines in SKILL.md · view on GitHub
Files (5)
- SKILL.md
- ip-strategy-tech-scouting-skill.md · references/
- rd-portfolio-management-skill.md · references/
- regulatory-clinical.md · references/
- research-frameworks.md · references/
SKILL.md (first lines)
# R&D Management Expert Comprehensive R&D frameworks for research strategy, technology roadmapping, and innovation pipeline management. ## R&D Strategy ### R&D Portfolio Framework ``` PORTFOLIO DIMENSIONS: BY TYPE: - Basic Research (10-20%) - Applied Research (20-30%) - Development (50-70%) BY TIME HORIZON: - Near-term (<2 years) - Mid-term (2-5 years) - Long-term (>5 years) BY RISK: - Core (incremental) - Adjacent (new territory) - Breakthrough (transformational) PORTFOLIO BALANCE: Mature companies: More development, less research Growth companies: More research, balanced development Disruption risk: More breakthrough investment ``` ### R&D Investment Analysis | Metric | Formula | Benchmark | | ------------------- | ------------------------------- | ----------------- | | **R&D Intensity** | R&D Spend / Revenue | Industry specific | | **R&D Efficiency** | New Product Revenue / R&D Spend | >2x | | **Patent Yield** | Patents / R&D Spend | Varies | | **Time to Market** | Concept to launch | Decreasing | | **Project Success** | Successful / Total projects | 20-40% | ### R&D Operating Models ``` CENTRALIZED: - Single R&D organization - Economies of scale - Technology leverage - Long-term focus Pros: Efficiency, coordination Cons: Distant from business DECENTRALIZED: - Business unit R&D - Close to market - Faster response - Application focus Pros: Relevance, speed Cons: Duplication, short-term HYBRID: - Central research labs - BU development teams - Shared services - Technology transfer Pros: Balance Cons: Coordination complexity ``` ## Technology Roadmapping ### Roadmap Structure ``` TECHNOLOGY ROADMAP LAYERS: MARKET LAYER: - Customer needs - Market trends - Competitive dynamics - Regulatory changes PRODUCT LAYER: - Product generations - Feature evolution - Platform decisions - Release timing TECHNOLOGY LAYER: - Core technologies - Enabling technologies - Emerging technologies - Technology dependencies RESOURCE LAYER: - Capabilities needed - Skill development - Partnerships - Infrastructure ``` ### Roadmapping Process | Phase | Activities | Output | | ----------------- | -------------------------- | ---------------- | | **Planning** | Scope, team, timeline | Charter | | **Analysis** | Market, technology, gap | Insights | | **Synthesis** | Prioritization, sequencing | Draft roadmap | | **Validation** | Stakeholder review | Refined roadmap | | **Communication** | Publication, training | Deployed roadmap | | **Maintenance** | Updates, governance | Living document | ### Technology Maturity ``` TECHNOLOGY READINESS LEVELS (TRL): TRL 1: Basic principles observed
From travisjneuman/.claude, MIT.
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Signals
- Stars
- 106
- Forks
- 26
- Open issues
- 2
- Last commit (this folder)
- Sep 30, 2026 (28 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/travisjneuman/.claude
- Website
- claude.travisjneuman.com
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
rd-management skill. Agent Mart. https://agentmart.dev/skills/travisjneuman-rd-management (last updated 2026-10-24)