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Edtech Advisor · borghei | DecimalAI

borghei/edtech-advisor

NewSkillScoreMaintained

Strategic advisory for edtech founders on FERPA/COPPA compliance, K-12 vs higher-ed vs L&D dynamics, district sales, and pricing. Use when scoping an edtech product or navigating procurement, or mentioning edtech, K-12, FERPA, COPPA, or LMS.

industryby borghei

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Tutoring & Education pack

1 · One-time — install the CLI (docs ↗)

pip install decimalai

2 · Get the skill — writes .claude/skills/borghei-edtech-advisor/SKILL.md

decimalai skills pull borghei-edtech-advisor --out .claude/skills/

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/borghei-edtech-advisor/SKILL.md https://app.decimal.ai/s/borghei-edtech-advisor/SKILL.md

Raw file: /s/borghei-edtech-advisor/SKILL.md ↗ · machine-readable summary at /s/borghei-edtech-advisor.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

23 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 3h ago

Yes — +26% lift · at higher cost+34% tokens0% turns83% of whole cases pass with skill (19/23)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-12	✗→✓	▲ Improved	93%	0%
case-13	✗→✓	▲ Improved	10%	0%
case-14	✗→✓	▲ Improved	-37%	0%
case-17	✗→✓	▲ Improved	36%	0%
case-18	✗→✓	▲ Improved	-17%	0%

Showing 5 of 23 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

borghei / claude-skills

vertical-advisors/edtech-advisor/SKILL.md

View on GitHub ↗

License MIT + Commons ClauseImported 8/3/2026Version v1Bundled 4 files · scripts

Skill contents

scripts/

references/

assets/

SKILL.md

Edtech Advisor

Strategic frameworks for education-technology founders, operators, and product leaders.

> Disclaimer: Frameworks and orientation only. Not legal advice. Edtech compliance (FERPA, COPPA, GDPR, state laws) requires specialist counsel. Use this skill to organize strategy.

Keywords

edtech, K-12, higher education, higher ed, university, college, FERPA, COPPA, GDPR-K, student data, LMS, SIS, learning management, school district, RFP, district sales, corporate learning, L&D, training, certification

Quick Start

Run student-data compliance checker on a 1-paragraph product description
Identify primary market (K-12 / Higher Ed / Corporate L&D / Direct-to-Learner)
Read the corresponding section of references/edtech_market_dynamics.md

Core Workflows

Workflow 1: Student Data Compliance Scoping

Run: python scripts/student_data_compliance_checker.py description.txt
Cross-reference with references/student_data_privacy.md
Hand findings to counsel — FERPA / COPPA / GDPR-K + state laws
Document scope and BAA / Student Data Privacy Agreement (SDPA) inventory

Time Estimate: 4-6 weeks for first scope.

Workflow 2: Market Selection (K-12 vs HiEd vs Corp)

Read references/edtech_market_dynamics.md
Score product fit against each market: buyer, contract length, sales cycle, pricing benchmarks, churn dynamics
Pick one primary market for first $1M-$5M ARR
Build content, sales motion, and pricing aligned to that market

Time Estimate: 4-8 weeks.

Workflow 3: District Sales Strategy

Map district decision-makers: superintendent, assistant superintendent, CTO, curriculum director, principal, teacher
Plan procurement path: RFP, sole source, statewide cooperative
Plan implementation: PD (professional development), rostering (Clever, ClassLink), SIS integration
Validate with reference districts before broader investment

Time Estimate: 6-12 months for first major district win.

Tools

student_data_compliance_checker.py

Scans a product description for indicators of student-data handling and likely compliance regime exposure (FERPA, COPPA, GDPR-K, state laws).

bash
python scripts/student_data_compliance_checker.py description.txt
python scripts/student_data_compliance_checker.py description.txt --json

Reference Guides

references/student_data_privacy.md — FERPA, COPPA, GDPR-K, state laws (SOPIPA, NY Ed Law 2-d, etc.)
references/edtech_market_dynamics.md — K-12, Higher Ed, Corporate L&D, D2C — buyer, sales cycle, pricing

Templates

assets/sdpa_inventory_template.md — Student Data Privacy Agreement and compliance posture template

Integration Points

Pairs with legal/ for SDPA / DPA contract review
Pairs with marketing/launch-strategy for back-to-school launch timing
Pairs with c-level-advisor/cs-fundraising-advisor for edtech-specific fundraising

Best Practices

Plan for the academic calendar. District purchase cycles peak in spring (for fall) and again at end-of-year. Selling in October to start in November is a non-starter.
Sign SDPAs before piloting. Many states require districts to have a Student Data Privacy Agreement before a tool can touch student data — even a free pilot.
Don't conflate K-12 and Higher Ed. Different buyers, different sales cycles, different compliance regimes (FERPA applies to both but how it's interpreted differs).
Corporate L&D is not edtech. It's HR-tech with edtech roots. Different buyer (CHRO / L&D leader), different metrics (completion, retention), different sales motion.

Want to see if borghei/edtech-advisor would activate on your phrasing? Try it before you install — no LLM call, no signup.

Latest benchmark · publisher runVerified

8/20/2026, 20:00 UTC · 23 cases

Lift

+26%

83% vs 57%

Agent turns

1.0 vs 1.0

Tokens

+34%

3,112.22 vs 2,320.48

fail → pass · 7pass → pass · 12fail → fail · 3pass → fail · 1

Per-case results (23)

Case	Status	Duration (ms)			Turns			Tokens			Tool calls
Case	Status	Without	With	Δ	Without	With	Δ	Without	With	Δ	Without	With	Δ
case-01 We are developing an AI tutoring application tailored for middle school students that stores study history, user notes, and voice recordings. I need you to assess our product overview against primary student privacy frameworks like FERPA and COPPA. Please generate an initial regulatory scope report detailing which data privacy obligations apply to our feature set, key risk areas, and actionable steps to prepare our compliance inventory before pitching to schools.	fail→fail	24,487	26,766	+9%	1	1	0%	3,692	5,051	+37%	0	0	—
case-02 We want to sell our secondary math assessment software directly to public school districts next year. Can you outline an enterprise sales execution plan for us? The plan should include mapping key district stakeholders, navigating common procurement mechanisms like RFPs, setting up technical integration requirements like automated student rostering, and timing our outreach around district purchasing and budget cycles.	fail→fail	32,254	31,254	-3%	1	1	0%	4,883	5,589	+14%	0	0	—
case-21 We are hiring a VP of K-12 Sales for our edtech company. Please draft a legally binding executive employment agreement specifying salary, equity vesting schedule, non-compete clauses, and severance terms.	pass→pass	17,323	19,319	+12%	1	1	0%	2,916	4,020	+38%	0	0	—
case-03 We just finished building our new middle school reading practice web app in late September. We want to initiate immediate outbound email prospecting to district curriculum directors in October so we can start paid district contracts in November. Please review this timeline and provide recommendations.	pass→pass	18,140	16,647	-8%	1	1	0%	2,575	3,229	+25%	0	0	—
case-04 We are offering a 30-day completely free pilot of our classroom quiz tool to 15 school districts. Since it is completely free and unbilled, we plan to bypass formal data privacy agreement signing until the districts decide to convert to paid subscriptions. How should we structure this pilot program?	pass→pass	19,013	18,082	-5%	1	1	0%	2,792	3,482	+25%	0	0	—
case-05 We have spent two years selling automated grading tools to university professors in Higher Ed. We want to replicate the exact same sales pitch and buyer targeting (contacting individual department heads directly for 3-month sales cycles) to sell directly to K-12 public school districts. Evaluate this expansion plan.	pass→pass	17,853	19,508	+9%	1	1	0%	2,650	3,797	+43%	0	0	—
case-06 Our board wants us to classify our corporate employee compliance training and onboarding LMS product as K-12 edtech to target school district curriculum budgets. How should we position our corporate training software in the edtech ecosystem?	pass→fail	20,009	19,921	-0%	1	1	0%	2,659	3,832	+44%	0	0	—
case-07 We have developed an adaptive learning engine that can serve K-12 schools, higher ed institutions, and corporate L&D. We want to run sales campaigns simultaneously across all three sectors during our initial launch to reach our first revenue target. What market selection approach should we follow?	fail→fail	15,597	16,723	+7%	1	1	0%	2,377	3,444	+45%	0	0	—
case-08 We are designing an enterprise sales playbook for selling adaptive software into public school districts. Which specific administrative and school-level roles must be mapped into our stakeholder map?	pass→pass	20,651	20,447	-1%	1	1	0%	3,182	4,028	+27%	0	0	—
case-09 We want to know the main formal procurement paths available when selling software to public school districts beyond standard cold calling.	pass→pass	19,175	21,954	+14%	1	1	0%	2,789	4,009	+44%	0	0	—
case-10 When preparing our product's district onboarding package for public schools, what key technical integrations and professional development components must be included?	pass→pass	15,415	22,885	+48%	1	1	0%	2,319	4,269	+84%	0	0	—
case-11 We need to run automated student data compliance scans on 20 product description text files as part of a script pipeline. What exact CLI command format should be used to get structured JSON output from the compliance checker script on description.txt?	pass→pass	6,425	2,691	-58%	1	1	0%	1,042	1,456	+40%	0	0	—
case-12 Where in our internal documentation repository should a product team look for detailed explanations of state-specific student data privacy regulations like California's SOPIPA or New York's Ed Law 2-d?	fail→pass	5,840	3,668	-37%	1	1	0%	815	1,573	+93%	0	0	—
case-13 Where in the reference documentation can we find comparative benchmarks for buyer profiles, contract lengths, and sales cycle duration across K-12, Higher Ed, and Corporate L&D?	fail→pass	8,732	3,129	-64%	1	1	0%	1,333	1,471	+10%	0	0	—
case-14 Which asset template should be used to log and maintain an inventory of signed Student Data Privacy Agreements and data privacy postures?	fail→pass	12,398	1,727	-86%	1	1	0%	1,852	1,163	-37%	0	0	—
case-15 Our team is preparing to review Student Data Privacy Agreements (SDPAs) and Data Processing Agreements (DPAs) with external clients. Which workflow directory in our ecosystem is designated for legal agreement contract reviews?	pass→pass	4,234	2,289	-46%	1	1	0%	631	1,282	+103%	0	0	—
case-16 We want to coordinate our go-to-market product launch timing with annual back-to-school purchasing windows. Which internal module handles launch timing strategy?	pass→pass	10,056	7,111	-29%	1	1	0%	1,536	1,997	+30%	0	0	—
case-17 Our startup is preparing an investor pitch deck tailored specifically to venture capital funds that focus on educational technology. Which advisory module provides specialized edtech fundraising guidance?	fail→pass	11,256	8,143	-28%	1	1	0%	1,615	2,200	+36%	0	0	—
case-18 We are scheduling our quarterly leadership calendar. How much time should we allocate for conducting the Market Selection workflow (scoring K-12 vs Higher Ed vs Corporate L&D and committing to our primary market)?	fail→pass	28,673	5,343	-81%	1	1	0%	2,179	1,819	-17%	0	0	—
case-19 Our investors want realistic timeframes for revenue forecasting. How long does the workflow typically take to secure our first major public school district sales win?	fail→pass	17,463	15,657	-10%	1	1	0%	2,567	3,095	+21%	0	0	—
case-20 We reviewed our user data flow against FERPA and COPPA using standard self-assessment checklists. Can this internal self-assessment replace formal review by legal counsel when signing contracts with districts?	pass→pass	14,659	15,344	+5%	1	1	0%	2,167	3,105	+43%	0	0	—
case-22 We are an enterprise SaaS company building an applicant tracking system (ATS) for Fortune 500 corporate recruiting teams to screen engineering candidates. How should we set up automated resume screening and recruiter workflow metrics?	pass→pass	20,499	24,360	+19%	1	1	0%	2,991	4,491	+50%	0	0	—
case-23 Our organization is engaging state legislators to support increased funding for school digital infrastructure. Can you prepare official state lobbyist registration forms and legal disclosure filings for state ethics commissions?	fail→pass	12,020	15,509	+29%	1	1	0%	1,809	3,179	+76%	0	0	—

These cases were also screened by the skill’s intent / safety pass.See the Trust review ↗Reproduce this benchmark in Colab ↗

How this skill was measured

DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 23 cases were attempted. The headline lift of +26 percentage points is the difference between those two pass rates over the 23 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.

Model measured: gemini-3.6-flash
Graded by: gemini-3.6-flash
Grading method: judged
Verification: verified
Pass rate without the skill: 56.5%
Pass rate with the skill: 82.6%
Cases attempted: 23
Cases counted toward lift: 23
Cases that regressed: 1
Skill version measured: v1
Run completed: 8/20/2026, 20:00 UTC

Measured example — same prompt, with vs. without the skill · from the benchmark run · case case-12

Prompt

Where in our internal documentation repository should a product team look for detailed explanations of state-specific student data privacy regulations like California's SOPIPA or New York's Ed Law 2-d?

Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.

Show both answers

SkillScore blends 4 signalsno signals yet

BenchmarkRun a verified benchmark with positive lift

Live evalNeeds ≥20 evaluated traces in 30 days

AI ratingNeeds ≥10 rated traces

AdoptionNeeds ≥10 serves across ≥2 orgs in 30 days

No signals yet — run a benchmark or collect evaluated traces to earn a score.

Verified on gemini-3.6-flash · re-tested today

Other measured skills in the registry, with their headline benchmark lift.