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Changelog

1.3.0 (2026-04-01)

AI-native framework integration

Every skill is now AI-native aware. When a founder's product involves AI, skills detect whether the AI is load-bearing (AI-native) or decorative (bolted-on) and adapt guidance accordingly.

  • New data/ai-native-framework.md reference file: 4 AI-native criteria, 5 bolted-on indicators, the removal test, Karpathy hierarchy (for developer-tool founders), architecture patterns, and AI-native pricing models
  • /product-review adds a 6th scoring dimension (AI Architecture) for products with AI components
  • /idea-validation evaluates AI Architecture Fit as a validation signal
  • /go-to-market provides AI-native pricing strategy (usage-based economics, institutional procurement guidance)
  • /pitch-review coaches the "improves with models" investor narrative and adapts investor targeting
  • /sales-strategy adds AI-native objection handling ("what if the AI is wrong?") and demo flow guidance
  • /fundraising-guide targets AI-focused VCs for AI-native products and traditional edtech VCs for bolted-on
  • /edtech-landscape maps AI-native vs bolted-on competitors in competitive analysis
  • /evidence-check adds behavior change as an evidence dimension for AI-native products
  • /accessibility-check flags AI-specific concerns (bias, transparency, explainability, override capability)
  • /pilot-design adds AI-specific pilot metrics (accuracy, hallucination rate, trust calibration, behavior change)

The framework is diagnostic, not prescriptive. Bolted-on AI can be a valid strategy. The skills help founders understand the implications for their pricing, sales, fundraising, and competitive positioning.

1.2.0 (2026-03-31)

Tier-1 repo infrastructure

  • GitHub issue templates for bug reports, feature requests, and research submissions
  • Pull request template with contribution checklist
  • CI workflow validating skill frontmatter, routing, data footers, and research format
  • CODE_OF_CONDUCT.md and SECURITY.md for community governance
  • CODEOWNERS routing PRs to ScaleU team
  • README badges (version, license, skills, papers)
  • Setup script --help flag
  • .editorconfig for consistent formatting

1.1.0 (2026-03-31)

Smart skill navigation

Skills now recommend the single most relevant next step based on your specific answers during the session, not a static list. /product-review sees your evidence score is low and sends you to /evidence-check. /idea-validation gives you a GO verdict and routes you to /product-review. Every skill is context-aware.

Framework packaging (modeled after gstack)

  • One-line install: ./setup creates symlinks for all 10 skills in Claude Code
  • ETHOS.md: 7 principles encoding ScaleU's philosophy on what makes edtech products succeed
  • ARCHITECTURE.md: How skills, data files, research corpus, and higher ed framework fit together
  • Multi-platform install: Instructions for Claude Code, Codex CLI, Gemini CLI, and Cursor
  • Versioning: VERSION file and CHANGELOG for release management

Higher ed framework (SXSW EDU 2026)

  • 15 validated jobs across 6 student journey phases in data/higher-ed-jobs-atlas.md
  • 4 structural patterns founders miss in data/founder-traps.md
  • Skills for higher ed founders now use ScaleU's 5-question diagnostic and noise vs. signal filter

Research corpus

  • 376 peer-reviewed papers across 19 learning science topics in data/research/
  • Skills cite specific studies with author, year, finding, and DOI

1.0.0 (2026-03-31)

Initial release.

Skills (10)

  • /edtech-landscape — Market diagnostic: sector, buyer, regulatory, competitive context
  • /idea-validation — Pressure-test your edtech idea against market reality
  • /product-review — Review product through educational outcomes and buyer requirements lens
  • /accessibility-check — WCAG, Section 508, and Universal Design for Learning compliance
  • /evidence-check — Classify evidence on ESSA tiers, gap analysis, study design guidance
  • /pilot-design — Design effective institutional pilots with MOU templates and IRB guidance
  • /go-to-market — Edtech GTM strategy by segment, channel, and procurement cycle
  • /sales-strategy — Selling to schools, districts, and universities
  • /pitch-review — Review pitch through edtech investor lens with evidence positioning
  • /fundraising-guide — Edtech-specific fundraising: who funds what, what evidence they require

Reference Data (11 files)

  • K-12 regulatory (FERPA, COPPA, state privacy laws)
  • Higher ed landscape (accreditation, accessibility, LMS integration)
  • Corporate L&D market
  • ESSA evidence tiers (Tier 1-4)
  • Procurement guide (districts, universities, state systems)
  • Pilot benchmarks (anonymized success data)
  • Buyer personas (district CTO, provost, department chair, faculty, etc.)
  • Funding landscape (VCs, grants, accelerators by stage)
  • Competitive landscape (key companies by segment)
  • Higher ed jobs atlas (15 validated jobs across 6 student journey phases)
  • Founder traps (4 structural patterns founders miss)

Research Corpus (376 papers)

19 topics across learning science: active learning, adaptive learning, spaced repetition, cognitive load theory, formative assessment, multimedia principles, mastery-based grading, and more. Each paper includes title, takeaway, study type, year, citations, and DOI.