Redesign a lesson to centre students' cultural backgrounds, community knowledge, and lived experience.
Activate when: user says 'I used to love this but don't anymore', 'I feel like I've stopped learning', 'I go through the motions but nothing excites me', 'how do I stay curious as…
Use when the user wants to learn a topic deeply — asks for a curriculum, learning path, self-study plan, study guide, syllabus, or says teach me X.
Calculate objective mastery rates, analyze performance distributions, identify achievement gaps, and generate learning analytics dashboards.
Calculate objective mastery rates, analyze performance distributions, identify achievement gaps, and generate learning analytics dashboards.
Design assessment blueprints mapping learning objectives to valid assessment types and create detailed rubrics with performance criteria.
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…
교육 과정을 설계하고 학습 콘텐츠를 제작합니다. '온라인 강의 커리큘럼 짜줘', '직무 역량 모델 만들어줘', '영어 학습 계획 세워줘'라고 요청할 때 사용하세요. 강의 목차 설계, 학습 목표 정의, 역량 갭 분석, 외국어 학습 전략 수립을 지원합니다.
Create detailed lesson plans, instructional materials, learning activities, and differentiation strategies aligned to learning objectives.
Author high-quality assessment items (questions, prompts, tasks) aligned to learning objectives with answer keys and rubrics.
Generate scripts for educational videos, presentations, interactive activities, and multimedia content supporting learning objectives.
Identify gaps, overlaps, and misalignments in curriculum coverage through systematic comparison with standards and learning progressions
Assist with grading by applying rubrics to student work, generating criterion-level feedback, and maintaining consistency across submissions.
Assist with grading by applying rubrics to student work, generating criterion-level feedback, and maintaining consistency across submissions.
Synthesize feedback from students, outcomes data, and peer reviews to generate prioritized curriculum revision recommendations and track effectiveness over versions.
Audit curriculum management software for learning outcome alignment, pacing guide optimization, standards coverage mapping (Common Core, NGSS, state standards), differentiation…
Generate IMS Common Cartridge 1.3 packages with QTI assessments, LTI tool links, discussion forums, and full gradebook integration.
Generate LMS-ready packages in SCORM, Canvas, Moodle formats with proper structure, sequencing, and grade passback.
Shared quantitative curriculum assessment helpers for workshop scoring and simulator guardrails.
Identify and eliminate bias, stereotypes, and non-inclusive language; ensure cultural responsiveness and equity throughout curriculum materials.
Verify constructive alignment between objectives, activities, and assessments; validate instructional design quality and learning science principles.
Comprehensively reviews curriculum materials for quality, consistency, and effectiveness. Use when the user asks to review content, check quality, audit materials, or ensure…
Order material so each piece is learnable when it arrives, with prerequisites satisfied and difficulty increasing gradually.
Validate IMS Common Cartridge 1.3 packages against spec, check manifest schema, verify file references, validate QTI assessments, and ensure LMS compatibility.
교육용 Padlet 클론 프로젝트의 교안, 수업 지도안, 바이브코딩 프롬프트집, 실습 지침서를 작성하는 가이드. 중등~고등 수준의 교육 자료 생성 시 이 스킬을 사용할 것. '교안 만들어줘', '수업 자료 작성', '학생 가이드' 요청 시 반드시 사용.
Apply when you catch yourself writing the same instruction a second time, or notice a recurring correction.
A roleplay-based framework to identify product friction and bridge the gap between internal knowledge and the actual customer experience.
Design or audit one end-to-end customer-support operating system across self-service, intake, identity-safe diagnostics, taxonomy, queues, severity, routing, SLAs, grounded…
Эксперт customer training. Используй для onboarding программ, training materials и certification paths.
Aide à créer ou améliorer un CV structuré, percutant et adapté au poste visé. À utiliser quand l'utilisateur veut rédiger, refaire ou optimiser son CV.
Evaluate a resume against the CV Builder rubric and return a scored, schema-valid EvalResult. Use when the user wants their CV or resume scored, critiqued, or checked for ATS…
Real-world ROI case study for healthcare content automation pipeline. Clínica Mente Saudável case with validated metrics - 99.4% time reduction (4h15m to 1.5min), 92.4% cost…
Produce reviewable controlled word list with validation, safety checks, and structured output. Use when a teacher, tutor, or literacy specialist needs this bounded workflow and…
Für Cybermobbing Schule: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.
Datenbankrecht für Bildungsdatenbanken: §§ 87a-87e UrhG für Lehrmaterialdatenbanken und Hochschularchive, Schranken nach § 60a UrhG (Bildung und Unterricht), Herstellerrecht bei…
Für Datenschutz Hochschule: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.
Für Datenschutz Prüfungsdaten: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Tatbestands- oder Anspruchsmatrix.
Für Datenschutz Prüfungsdaten: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Tatbestands- oder Anspruchsmatrix.
Prüft Datenschutz in Schule, Lernplattform und Elternkommunikation im Schulrecht Länder.
Track case deadlines — add, cross-case rollup report, update, complete, close. Warns at configurable thresholds (default 14/7/3/1 days); overdue items stay flagged until — from…
Track case deadlines — add, cross-case rollup report, update, complete, close. Warns at configurable thresholds (default 14/7/3/1 days); overdue items stay flagged until — from…
Interactive debate and argument practice with structured feedback, counterargument generation, logical fallacy identification, and scoring rubrics.
Build a debt-payoff plan across multiple debts using the avalanche or snowball method. Use when asked to pay off debt, tackle credit cards/loans, or choose between avalanche and…
Judge a past decision by its PROCESS, not its outcome — because good decisions lose and bad decisions win, and teams that can't tell the difference learn the wrong lessons.
Scores and strengthens startup pitch decks (pre-seed through Series A) against 35 investor-grade criteria grounded in Sequoia, DocSend, YC, a16z, and Carta data.
Review a deck against a rubric instead of taste — the five dimensions (argument, evidence, density, arc, honesty), the severity-sorted feedback that separates broken from…
Course-correct when artifacts overfit to conversation context. Invoke when examples, names, or language are too specific to current work.
Use when you have UPLC-HRMS data (ThermoFisher, Agilent, or MSConvert-compatible
Use when when you need to construct a dual-branch neural network encoder that processes two augmented versions of the same input (e.g., ion images in COL or ISO mode) and must…
Use when you have preprocessed mass spectrometry spectra (tokenized m/z and intensity pairs or feature matrices) and a trained deep learning model checkpoint, and you need to…
Use when you have a trained deep learning model and want to quantify prediction uncertainty for each input pair or decision point.
Use when you have downloaded the LC-MS spectral peak dataset (DOI 10.25345/C5FD2F)
Use when you have raw or preprocessed mass spectrometry feature matrices (e.g., from low mass resolution or sparse acquisition) and want to enhance signal quality and spatial…
Use when you have a pre-trained deep learning encoder (e.g., TCN spectrum encoder trained on a large corpus) and want to adapt it to a new task (e.
Expert guidance for deep learning, transformers, diffusion models, and LLM development with PyTorch, Transformers, Diffusers, and Gradio.
Use when when you have an unknown compound's mass spectrum (m/z peaks and intensities in .mgf or equivalent format with mandatory PRECURSOR_MZ and IONMODE tags) and need — from…
Use when training a CNN model from scratch on LCMS peak classification tasks (or similar image-like batched data) where you need to confirm the model reaches target performance…
Deep learning-based variant calling with Google DeepVariant. Provides high accuracy for germline SNPs and indels from Illumina, PacBio, and ONT data.
Builds measurable validation criteria when no existing standards apply. Invoked by team agents during review.
Produce reviewable child-level definition/sentence with validation, safety checks, and structured output.