Updated 2d ago
by GarethManning
education-agent-skills
165 evidence-grounded AI skills for teachers, school leaders and EdTech builders—pedagogy, learning science, curriculum, assessment and regeneration. Claude, Codex and Hermes.
950 GitHub stars (950)
+123 in 30 days
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| Sep 27–28 (2 days) | +2 |
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- 30 skills (30 skills found in its SKILL.md files)
- 130 forks (130 forks)
- 2d ago last update (Last updated 2d ago)
Install
Skills CLI
npx skills add GarethManning/education-agent-skills
Asks which skills and agents to install. Just one: npx skills add GarethManning/education-agent-skills --skill adaptive-hint-sequence-designer — add -g for every project.
Claude Code
git clone https://github.com/GarethManning/education-agent-skillscp -r "education-agent-skills/skills/ai-learning-science/adaptive-hint-sequence-designer" ~/.claude/skills/
Copies the adaptive-hint-sequence-designer skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.
Plugin
/plugin marketplace add GarethManning/education-agent-skills
Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.
Skills can run code on your machine — read the SKILL.md first.
What it does
In the author's own words, from each skill's SKILL.md — showing the first 30 of 165 files.
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adaptive-hint-sequence-designer
Generate a cascading hint sequence for a problem type, revealing progressively without giving answers. Use when designing tutoring dialogues or scaffolded worksheets.
skills/ai-learning-science/ on GitHub (opens in a new tab)adaptive-hint-sequence-designer/ SKILL.md -
ai-facilitated-collaborative-learning-designer
Design AI-supported collaborative tasks that structure group interaction and address participation problems. Use when students struggle to collaborate effectively on group tasks.
skills/ai-learning-science/ on GitHub (opens in a new tab)ai-facilitated-collaborative-learning-designer/ SKILL.md -
ai-feedback-design-principles
Audit and redesign AI-generated feedback for pedagogical quality, timing, and learning impact. Use when building or reviewing automated feedback in digital learning tools.
skills/ai-learning-science/ on GitHub (opens in a new tab)ai-feedback-design-principles/ SKILL.md -
cognitive-tutoring-architecture-designer
Map knowledge components and skill hierarchies for a cognitive tutoring system or adaptive learning platform. Use when designing intelligent tutoring software or skill-based mastery systems.
skills/ai-learning-science/ on GitHub (opens in a new tab)cognitive-tutoring-architecture-designer/ SKILL.md -
digital-worked-example-sequence
Create an interactive digital worked example sequence with fading for online or blended delivery. Use when building e-learning modules, LMS content, or app-based instruction.
skills/ai-learning-science/ on GitHub (opens in a new tab)digital-worked-example-sequence/ SKILL.md -
erroneous-example-designer
Design deliberately flawed examples that develop error-detection skills and deepen understanding. Use when students make characteristic errors and need practice spotting mistakes.
skills/ai-learning-science/ on GitHub (opens in a new tab)erroneous-example-designer/ SKILL.md -
formative-assessment-loop-designer
Design an adaptive assessment loop where each student response triggers the next instructional move. Use when building technology-enhanced formative assessment cycles.
skills/ai-learning-science/ on GitHub (opens in a new tab)formative-assessment-loop-designer/ SKILL.md -
individual-spacing-algorithm-explainer
Explain and configure individual spacing algorithms using student performance data and forgetting curves. Use when personalising retention schedules in adaptive learning platforms.
skills/ai-learning-science/ on GitHub (opens in a new tab)individual-spacing-algorithm-explainer/ SKILL.md -
intelligent-tutoring-dialogue-designer
Script a multi-turn tutoring dialogue with branching responses for anticipated student difficulties. Use when designing AI tutors, chatbot interactions, or structured one-to-one support scripts.
skills/ai-learning-science/ on GitHub (opens in a new tab)intelligent-tutoring-dialogue-designer/ SKILL.md -
learning-analytics-interpretation-guide
Interpret learning analytics data and translate dashboard findings into actionable teaching decisions. Use when reviewing LMS data, quiz patterns, or engagement metrics.
skills/ai-learning-science/ on GitHub (opens in a new tab)learning-analytics-interpretation-guide/ SKILL.md -
metacognitive-monitoring-ai-contexts
Design metacognitive checkpoints that prevent AI-assisted learning from bypassing genuine understanding. Use when students use AI tools and may overestimate their own comprehension.
skills/ai-learning-science/ on GitHub (opens in a new tab)metacognitive-monitoring-ai-contexts/ SKILL.md -
productive-failure-desirable-difficulty-designer
Redesign a direct instruction sequence to include productive struggle before the explanation phase. Use when teaching concepts that benefit from failure-first approaches.
skills/ai-learning-science/ on GitHub (opens in a new tab)productive-failure-desirable-difficulty-designer/ SKILL.md -
self-explanation-prompt-designer
Create self-explanation prompts that deepen understanding of worked examples, texts, or diagrams. Use when students read material passively without engaging with underlying principles.
skills/ai-learning-science/ on GitHub (opens in a new tab)self-explanation-prompt-designer/ SKILL.md -
worked-example-to-problem-solving-transition-designer
Design the transition from worked examples to independent problem-solving using expertise-reversal principles. Use when students follow examples but cannot solve problems alone.
skills/ai-learning-science/ on GitHub (opens in a new tab)worked-example-to-problem-solving-transition-designer/ SKILL.md -
ai-expertise-interrogation-designer
Design a Funhouse Mirror activity where students use their own domain expertise to detect AI distortions, omissions, and overconfidence. Use when students know a subject well enough to evaluate AI claims about it.
skills/ai-literacy/ on GitHub (opens in a new tab)ai-expertise-interrogation-designer/ SKILL.md -
ai-hallucination-fact-check-protocol
Design a fact-checking protocol for AI-generated text, extending SIFT with AI-specific adaptations for hallucination detection. Use when students need to verify AI claims and citations.
skills/ai-literacy/ on GitHub (opens in a new tab)ai-hallucination-fact-check-protocol/ SKILL.md -
ai-learning-boundary-mapper
Map which elements of an assignment benefit from AI assistance vs. which AI use undermines. Use when redesigning tasks for AI-age classrooms or setting defensible AI use policies for specific assignments.
skills/ai-literacy/ on GitHub (opens in a new tab)ai-learning-boundary-mapper/ SKILL.md -
ai-output-critical-audit-designer
Design a structured protocol for auditing AI-generated text against Ennis's six CT standards. Use when students need to critically evaluate AI output in any subject.
skills/ai-literacy/ on GitHub (opens in a new tab)ai-output-critical-audit-designer/ SKILL.md -
ai-socratic-dialogue-designer
Design a multi-round questioning sequence for interrogating AI chatbot answers, tracking how responses shift and distinguishing genuine updates from sycophantic capitulation. Use when teaching students to probe AI critically.
skills/ai-literacy/ on GitHub (opens in a new tab)ai-socratic-dialogue-designer/ SKILL.md -
disciplinary-ai-literacy-sequence-designer
Design a sequence where students compare AI's handling of the same question across disciplines, developing a mental model of where AI is reliable vs. distorting based on knowledge type.
skills/ai-literacy/ on GitHub (opens in a new tab)disciplinary-ai-literacy-sequence-designer/ SKILL.md -
prompt-literacy-sequence-designer
Design a learning sequence teaching prompt quality — comparing vague vs. refined prompts to show why specificity and context transform AI output. Use when students use AI without understanding why output quality varies.
skills/ai-literacy/ on GitHub (opens in a new tab)prompt-literacy-sequence-designer/ SKILL.md -
coverage-audit
Takes a curriculum framework and a statutory or accreditation requirement list; produces a coverage table, gap summary, and CSV showing which framework content covers each requirement and where gaps exist.
skills/curriculum-alignment/ on GitHub (opens in a new tab)coverage-audit/ SKILL.md -
curriculum-crosswalk
Compares two or more band-tagged frameworks and produces a framework-neutral topic matrix showing coverage and gaps across all inputs, plus an optional reference-centric PLC crosswalk document when a reference framework is supplied.
skills/curriculum-alignment/ on GitHub (opens in a new tab)curriculum-crosswalk/ SKILL.md -
developmental-band-translator
Tags harness-decomposed curriculum items (KUDs, LTs, criteria) with a school's developmental band metadata while preserving source voice and labels. Supply the band schema; the skill derives mapping rules from it.
skills/curriculum-alignment/ on GitHub (opens in a new tab)developmental-band-translator/ SKILL.md -
kud-chart-author
Authors or reviews Know/Understand/Do charts for competency-based learning targets across developmental bands. Handles seven input types from raw curriculum documents to existing LT sets. Routes to upstream skills when stronger inputs are available.
skills/curriculum-alignment/ on GitHub (opens in a new tab)kud-chart-author/ SKILL.md -
assessment-validity-checker
Audit a proposed assessment for construct validity, reliability, and alignment to learning objectives. Use when reviewing or quality-assuring assessments before deployment.
skills/curriculum-assessment/ on GitHub (opens in a new tab)assessment-validity-checker/ SKILL.md -
backwards-design-unit-planner
Plan a unit using backwards design from desired outcomes through assessment evidence to learning activities. Use when starting a new unit or redesigning an existing one from standards.
skills/curriculum-assessment/ on GitHub (opens in a new tab)backwards-design-unit-planner/ SKILL.md -
competency-unpacker
Unpack a broad standard or competency descriptor into specific, assessable success criteria and sub-skills. Use when interpreting curriculum standards or writing learning objectives.
skills/curriculum-assessment/ on GitHub (opens in a new tab)competency-unpacker/ SKILL.md -
criterion-referenced-rubric-generator
Generate a criterion-referenced rubric with descriptive performance levels for a task or objective. Use for marking guides and general curriculum contexts. For Manning programmes where Competent = success, use coherent-rubric-logic-builder instead.
skills/curriculum-assessment/ on GitHub (opens in a new tab)criterion-referenced-rubric-generator/ SKILL.md -
curriculum-knowledge-architecture-designer
Map the epistemic structure of a subject to determine knowledge types and inform curriculum sequencing. Use when designing courses, restructuring programmes, or analysing knowledge architecture.
skills/curriculum-assessment/ on GitHub (opens in a new tab)curriculum-knowledge-architecture-designer/ SKILL.md
No skill matches that filter.
Review before you install
A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.