Agent skill

innovation-management-guide

Innovation metrics, R&D management research, and technology forecasting

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill innovation-management-guide --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 9 KB
Bundled scripts: none
Path: skills/43-wentorai-research-plugins/skills/domains/business/innovation-management-guide/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
Language: Stata
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

# Innovation Management Guide A skill for conducting research on innovation management, technology strategy, and R&D performance. Covers innovation measurement, technology forecasting, diffusion modeling, patent-publication linkage, and bibliometric analysis of research portfolios. ## Innovation Measurement ### Key Innovation Metrics | Metric | Definition | Data Source | |--------|-----------|-------------| | R&D intensity | R&D spending / Revenue | Annual reports, Compustat | | Patent count | Granted patents per year | USPTO, EPO | | Citation-weighted patents | Patents weighted by forward citations | PatentsView | | New product revenue share | Revenue from products < 3 years old | Internal data | | Time to market | Concept to commercial launch | Project records | | Innovation efficiency | Revenue from new products / R&D spend | Combined internal data | ### Building an Innovation Scorecard ```python import pandas as pd import numpy as np def compute_innovation_scorecard(firm_data: pd.DataFrame) -> pd.DataFrame: """ Compute a multi-dimensional innovation scorecard for firms. firm_data columns: firm_id, rd_spend, revenue, patents_filed, patents_granted, citation_count, new_product_re

What's inside
Steps it walks through
  1. Innovation Measurement
  2. Key Innovation Metrics
  3. Building an Innovation Scorecard
  4. Technology Diffusion Models
  5. Bass Diffusion Model
  6. Typical Bass Parameters by Technology Category
  7. Bibliometric Analysis of R&D Portfolios
  8. Publication Portfolio Analysis
  9. Technology Forecasting Methods
  10. S-Curve Analysis
  11. Forecasting Approaches
  12. Open Innovation Research
  13. Measuring Open Innovation
  14. Key Journals and Conferences
More from Auto-Empirical-Research-Skills
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About this skill
What does the innovation-management-guide skill do?

Innovation metrics, R&D management research, and technology forecasting

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill innovation-management-guide --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 brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 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