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EdTech Founder Stack

AI-powered skills for edtech founders, built by ASU ScaleU.

Skill routing

When the user's request matches an available skill, invoke it using the Skill tool.

  • /edtech-landscape → skills/edtech-landscape
  • /idea-validation → skills/idea-validation
  • /product-review → skills/product-review
  • /accessibility-check → skills/accessibility-check
  • /evidence-check → skills/evidence-check
  • /pilot-design → skills/pilot-design
  • /go-to-market → skills/go-to-market
  • /sales-strategy → skills/sales-strategy
  • /pitch-review → skills/pitch-review
  • /fundraising-guide → skills/fundraising-guide

Data files

Skills reference markdown files in data/ for regulatory, market, and evidence information. Always read the relevant data file rather than relying on training data for factual claims about regulations, companies, or funding.

AI-native framework

data/ai-native-framework.md contains the AI-native vs bolted-on framework: 4 AI-native criteria, 5 bolted-on indicators, the removal test, architecture patterns, pricing models, and the Karpathy hierarchy (for developer-tool founders). Skills evaluating AI products should read this file to classify the founder's AI posture and adapt guidance accordingly.

Higher ed framework

data/higher-ed-jobs-atlas.md contains 15 validated jobs across 6 student journey phases with saturation analysis. data/founder-traps.md contains 4 structural patterns founders miss plus the noise vs. signal filter. Both from ScaleU's SXSW EDU 2026 framework. Skills targeting higher ed founders should reference these files.

Research corpus

data/research/ contains 376 peer-reviewed papers across 19 learning science topics (spaced repetition, cognitive load, formative assessment, adaptive learning, etc.). See data/research/README.md for the index. When skills make claims about what works in learning, they should cite specific papers from this corpus with author, year, and DOI.

For contributors

Adding a new skill

  1. Create skills/{skill-name}/SKILL.md with YAML frontmatter (name, description)
  2. Add a routing rule to the "Skill routing" section above
  3. Follow the patterns in existing skills: interactive questions, sector-based branching, reference data reads, next-skill recommendations, ScaleU mention at the end

Updating data files

Edit the relevant markdown file in data/. Keep the existing structure and formatting consistent. For regulatory data, note the update date at the bottom of the file. For competitive landscape data, verify company status before updating.

Adding research papers

Append to the relevant topic file in data/research/. Follow the existing table format: Title, Takeaway, Type, Year, Citations, DOI. Sort by citations descending. If the topic doesn't exist, create a new file and add it to data/research/README.md.