Agent skill

Rd Management

by travisjneuman in travisjneuman/.claude

R&D management expertise for R&D portfolio management, technology roadmapping, research methodology, patent strategy, lab management, academic partnerships, and regulatory pathways.

MITAuto-check passedLegal & Compliance

Install Rd Management

skills CLI
$ npx skills add travisjneuman/.claude --skill rd-management -a claude-code

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

GitHub CLI
$ gh skill install travisjneuman/.claude rd-management --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/travisjneuman/.claude.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/rd-management .claude/skills/rd-management && 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
rd-management
GitHub stars
100
Token cost
~2k tokens
SKILL.md length
272 words
Files
5 (incl. references)
Skills in repo
17
Repo updated
First seen
Licence
MIT

At a glance

R&D management expertise for R&D portfolio management, technology roadmapping, research methodology, patent strategy, lab management, academic partnerships, and regulatory pathways.

  • Managing research programs
  • SKILL.md covers R&D Strategy, Technology Roadmapping, Research Management and Academic Partnerships, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Planning technology roadmaps

What it does

Rd Management is an agent skill from travisjneuman/.claude. 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.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/ip-strategy-tech-scouting-skill.md`, `references/rd-portfolio-management-skill.md` and `references/regulatory-clinical.md`).

It sits in Legal & Compliance, covering Product roadmapping, Intellectual property and Experimental design. The repository describes itself as: The Ultimate Claude Code Toolkit: 180 skills, 10 agents, 29 commands, 7 hooks, and 81 marketplace repos (11,000+ community skills). Drop-in ~/.claude config with a generated… The licence is MIT.

When your agent uses it

  • Managing research programs
  • Planning technology roadmaps
  • Building patent portfolios

Example prompts

  • “/rd-management”

What it can do on your machine

Read from SKILL.md and the folder at commit 446a461. 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

    No URLs in SKILL.md.

    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

Rd Management loads about 2k tokens when it runs, and up to ~21k if it reads all its reference files. Until then it costs about 73 tokens; SKILL.md has 272 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~21k

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 travisjneuman/.claude at commit 446a461, republished under its MIT licence (© travisjneuman). 272 words, ~1,991 tokens.

Download SKILL.mdSave it as .claude/skills/rd-management/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
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.

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
MetricFormulaBenchmark
R&D IntensityR&D Spend / RevenueIndustry specific
R&D EfficiencyNew Product Revenue / R&D Spend>2x
Patent YieldPatents / R&D SpendVaries
Time to MarketConcept to launchDecreasing
Project SuccessSuccessful / Total projects20-40%
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
PhaseActivitiesOutput
PlanningScope, team, timelineCharter
AnalysisMarket, technology, gapInsights
SynthesisPrioritization, sequencingDraft roadmap
ValidationStakeholder reviewRefined roadmap
CommunicationPublication, trainingDeployed roadmap
MaintenanceUpdates, governanceLiving document
Technology Maturity
TECHNOLOGY READINESS LEVELS (TRL):

TRL 1: Basic principles observed
TRL 2: Technology concept formulated
TRL 3: Experimental proof of concept
TRL 4: Technology validated in lab
TRL 5: Technology validated in relevant environment
TRL 6: Technology demonstrated in relevant environment
TRL 7: System prototype demonstrated in operational environment
TRL 8: System complete and qualified
TRL 9: Actual system proven in operational environment

INVESTMENT BY TRL:
TRL 1-3: Research funding
TRL 4-6: Development funding
TRL 7-9: Engineering/Launch funding

Research Management

Research Project Types
TypeGoalDurationRisk
BasicNew knowledge3-10+ yearsVery High
AppliedSpecific applications2-5 yearsHigh
DevelopmentProductization1-3 yearsMedium
EngineeringCommercialization6-18 monthsLower

For detailed research methodology, lab management, product development frameworks, and engineering standards, see Research Frameworks Reference.

Academic Partnerships

Partnership Models
ModelInvestmentIP RightsEngagement
Sponsored ResearchFundingNegotiatedProject-based
ConsortiumSharedPre-competitiveMulti-party
LicensingRoyaltiesLicensedTransaction
Joint VentureEquitySharedDeep
Chair/FellowshipEndowmentNoneTalent access
University Collaboration
COLLABORATION FRAMEWORK:

RELATIONSHIP BUILDING:
- Faculty engagement
- Student recruiting
- Advisory boards
- Speaking engagements

PROJECT MANAGEMENT:
- Clear objectives
- Milestone tracking
- Regular communication
- IP agreements upfront

TECHNOLOGY TRANSFER:
- Licensing evaluation
- Patent prosecution
- Startup spin-offs
- Joint development

SUCCESS METRICS:
- Publications
- Patents
- Technologies adopted
- Hires from program

For detailed regulatory pathways and clinical development phases, see Regulatory & Clinical Development Reference.

R&D Metrics & Governance

R&D KPIs
CategoryMetricBenchmark
InputR&D spend% of revenue
ProcessProject milestonesOn-time %
OutputProducts launchedPer year
EfficiencyCost per projectImproving
QualityFirst-time success>30%
SpeedCycle timeDecreasing
R&D Governance
GOVERNANCE STRUCTURE:

PORTFOLIO REVIEW BOARD:
- Investment allocation
- Project prioritization
- Resource decisions
- Go/No-go decisions

PROJECT GOVERNANCE:
- Stage gate reviews
- Technical reviews
- Business case updates
- Risk management

TECHNICAL GOVERNANCE:
- Architecture decisions
- Technology standards
- Platform decisions
- Make/buy/partner

MEETING CADENCE:
| Forum | Frequency | Participants |
|-------|-----------|--------------|
| Portfolio Review | Quarterly | Executives |
| Project Review | Monthly | Project sponsors |
| Technical Review | As needed | Technical leaders |
| Team Standups | Weekly/Daily | Project teams |

R&D Talent

Technical Career Path
DUAL LADDER SYSTEM:

TECHNICAL TRACK:
- Associate Engineer
- Engineer
- Senior Engineer
- Principal Engineer
- Fellow
- Distinguished Fellow

MANAGEMENT TRACK:
- Team Lead
- Manager
- Director
- VP Engineering
- SVP/CTO

EQUIVALENCIES:
Principal Engineer ≈ Director
Fellow ≈ VP
Distinguished Fellow ≈ SVP

CAREER DEVELOPMENT:
- Technical certifications
- Publication requirements
- Patent expectations
- Leadership development
Technical Community
COMMUNITY BUILDING:

KNOWLEDGE SHARING:
- Technical forums
- Lunch & learns
- Internal conferences
- Best practice sharing

DEVELOPMENT:
- Training programs
- Mentoring
- Rotation programs
- External conferences

RECOGNITION:
- Technical awards
- Patent recognition
- Publication support
- Innovation prizes

References

See Also

© travisjneuman, 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 4 other files (references) in skills/rd-management of travisjneuman/.claude.

  • SKILL.md
  • references/ip-strategy-tech-scouting-skill.md
  • references/rd-portfolio-management-skill.md
  • references/regulatory-clinical.md
  • references/research-frameworks.md

Open the folder on GitHubat commit 446a461

Compare with similar skills

Rd Management 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.

Rd Management compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Rd Management this skilltravisjneuman/.claude100—~2kAutomated safety check: PassMIT
Paper to Chinese Patent DrafterYuan1z0825/nature-skills47k1 repos~1.1kAutomated safety check: PassApache-2.0
Paper To Cn Patentsnipp-zha/Paper-to-patent-Skill1071 repos~959Automated safety check: PassNone
Patent Examinegfodor/legal-skills393—~4.8kAutomated safety check: PassGPL-3.0
Patent Auditgfodor/legal-skills393—~2.9kAutomated safety check: PassGPL-3.0
Replica BrandJakeschincariol/replica-skill1.4k—~1.1kAutomated safety check: PassMIT

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Questions about Rd Management

What does Rd Management do?

R&D management expertise for R&D portfolio management, technology roadmapping, research methodology, patent strategy, lab management, academic partnerships, and regulatory pathways. claude. R&D management expertise for R&D portfolio management, technology roadmapping, research methodology, patent strategy, lab management, academic partnerships, and regulatory pathways.

When should I use Rd Management?

Rd Management fits situations like: managing research programs; planning technology roadmaps; building patent portfolios.

How do I install Rd Management in Claude Code?

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

How do I install Rd Management in Codex?

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

Can I use Rd Management 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 travisjneuman/.claude --skill rd-management -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/rd-management, .gemini/skills/rd-management, .github/skills/rd-management and .opencode/skills/rd-management in your project.

What does Rd Management need to run?

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

Does Rd Management access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Rd Management 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 Rd Management use?

Rd Management is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Rd Management use?

About 2k tokens (SKILL.md is roughly 8k 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 20k tokens, read only when the agent opens those files.

What are the alternatives to Rd Management?

Skills that share tags, products or a category with Rd Management: Paper to Chinese Patent Drafter (Yuan1z0825/nature-skills, 47k stars), Paper To Cn Patent (snipp-zha/Paper-to-patent-Skill, 107 stars), Patent Examine (gfodor/legal-skills, 393 stars) and Patent Audit (gfodor/legal-skills, 393 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Rd Management?

travisjneuman (a GitHub user) maintains it in travisjneuman/.claude, which has 100 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 9, 2026.

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