education-agent-skills

In the author's own words, from each skill's SKILL.md — showing the first 30 of 165 files.

• 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/adaptive-hint-sequence-designer/SKILL.md on GitHub (opens in a new tab)

• 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/ai-facilitated-collaborative-learning-designer/SKILL.md on GitHub (opens in a new tab)

• 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/ai-feedback-design-principles/SKILL.md on GitHub (opens in a new tab)

• 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/cognitive-tutoring-architecture-designer/SKILL.md on GitHub (opens in a new tab)

• 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/digital-worked-example-sequence/SKILL.md on GitHub (opens in a new tab)

• 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/erroneous-example-designer/SKILL.md on GitHub (opens in a new tab)

• 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/formative-assessment-loop-designer/SKILL.md on GitHub (opens in a new tab)

• 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/individual-spacing-algorithm-explainer/SKILL.md on GitHub (opens in a new tab)

• 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/intelligent-tutoring-dialogue-designer/SKILL.md on GitHub (opens in a new tab)

• 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/learning-analytics-interpretation-guide/SKILL.md on GitHub (opens in a new tab)

• 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/metacognitive-monitoring-ai-contexts/SKILL.md on GitHub (opens in a new tab)

• 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/productive-failure-desirable-difficulty-designer/SKILL.md on GitHub (opens in a new tab)

• 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/self-explanation-prompt-designer/SKILL.md on GitHub (opens in a new tab)

• 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/worked-example-to-problem-solving-transition-designer/SKILL.md on GitHub (opens in a new tab)

• 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/ai-expertise-interrogation-designer/SKILL.md on GitHub (opens in a new tab)

• 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/ai-hallucination-fact-check-protocol/SKILL.md on GitHub (opens in a new tab)

• 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/ai-learning-boundary-mapper/SKILL.md on GitHub (opens in a new tab)

• 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/ai-output-critical-audit-designer/SKILL.md on GitHub (opens in a new tab)

• 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/ai-socratic-dialogue-designer/SKILL.md on GitHub (opens in a new tab)

• 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/disciplinary-ai-literacy-sequence-designer/SKILL.md on GitHub (opens in a new tab)

• 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/prompt-literacy-sequence-designer/SKILL.md on GitHub (opens in a new tab)

• 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/coverage-audit/SKILL.md on GitHub (opens in a new tab)

• 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/curriculum-crosswalk/SKILL.md on GitHub (opens in a new tab)

• 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/developmental-band-translator/SKILL.md on GitHub (opens in a new tab)

• 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/kud-chart-author/SKILL.md on GitHub (opens in a new tab)

• 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/assessment-validity-checker/SKILL.md on GitHub (opens in a new tab)

• 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/backwards-design-unit-planner/SKILL.md on GitHub (opens in a new tab)

• 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/competency-unpacker/SKILL.md on GitHub (opens in a new tab)

• 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/criterion-referenced-rubric-generator/SKILL.md on GitHub (opens in a new tab)

• 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/curriculum-knowledge-architecture-designer/SKILL.md on GitHub (opens in a new tab)

No skill matches that filter.

Similar skills

• rufloby ruvnet 🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems.… 75.1k stars · 30 skills
• claude-code-best-practiceby shanraisshan from vibe coding to agentic engineering - practice makes claude perfect 67.6k stars · 9 skills
• eigentby eigent-ai Eigent: The Open Source Cowork Desktop - Local and Free Alternative to Claude Cowork and Codex 15.6k stars · 6 skills
• claude-code-tipsby ykdojo 45+ tips for getting the most out of Claude Code, from basics to advanced - includes a custom status line script and Claude Code running it… 10.2k stars · 9 skills
• awesome-design-skillsby bergside List of 67 awesome DESIGN.md and SKILL.md design skill files for agentic tools like Claude Design, Google Stitch, Codex, Cursor, and other… 3.2k stars
• babysitterby a5c-ai Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic,… 1.8k stars · 29 skills