Client education, meal planning communication, behavior change counseling, and motivational strategies
Digital art tools, techniques, and workflows for art education. Covers raster and vector workflows, digital painting, photo manipulation, generative and procedural art, 3D…
A two-spread digital e-guide preview — page 1 is a cover (display title, author, "What's inside" stats, table of contents teaser); page 2 is a spread (lesson body with pull-quote…
Write prompts, system instructions, agent directives, slash commands, and skill descriptions using two stacked layers — outcome-first (define the destination, success criteria,…
Meta-skill that orchestrates the discourse skill suite: routes between steel-man-argument, socratic-questioning, toulmin-argument-analysis, logical-fallacy-detector,…
Visual quality rubric for Triptych display tabs — panel-size constraints (800–1200px), dark theme alignment, hierarchy in a narrow panel, named tabs, "live" vs "dead" displays.
Turn scattered project rules, workflows, and hard-won lessons into a structured skills directory that future agents can route through before making changes.
distillation v2.0（第二輪退役 stub） — 三 phase 拆三層回歸：collect-evidence 進 `.claude/rules/workflow.md` §Distillation 對話準則、propose 進 session-start hook（lesson-pressure）、harden 進 `/harden`…
Use when a bug fix, architectural change, interface contract update, or recurring pitfall has been resolved and has clear reuse value — to record a durable lesson in project…
当你（作为某个经验蒸馏流程的执行者，例如把一份复盘文档里的候选经验落成项目资产）要判断一条候选经验该落成纪律文档 / skill / workflow / subagent 中的哪一种、以及落地时该怎么写才不走样时用。教一套归宿判断决策树 + 四类资产各自的落地手艺与反模式：事实性 / 项目专属的经验归纪律文档（条目带 why）；可复用的判断力 /…
Generalized rubric-driven optimization loop for improving or achieving a goal through repeated evaluation and refinement.
Stap 7 — verwerkt lessons learned van de afgeronde taak en voert compacte systeem-checks uit. Schrijft rapport in task doc. Volledige systeem-checks staan in doc-audit.
Comprehensive guide for creating by-example tutorials - code-first learning path with 75-90 heavily annotated examples achieving 95% language coverage.
Universal methodology for verifying factual correctness in documentation using WebSearch and WebFetch tools.
Generate or update documentation for the AI Hero API by reading the source code at ~/repos/ai/course-builder.
Update documentation based on lessons learned. Use after completing work to capture learnings and prevent future issues.
Prüft Drittversuch, Härtefall und zusätzliche Wiederholung im Prüfungsrecht Hochschule.
Design evidence-discovery and validation workflows for drug repurposing studies by integrating disease mechanisms, drug-target logic, expression reversal, real-world evidence, and…
Spezialfall Systemic-Risk-Assessment Art. 34 DSA: Methode der VLOP-Risikobewertung pruefen, vier Kategorien (illegale Inhalte, Grundrechte, Wahlen, Wohlbefinden Minderjaehriger),…
Use when you need maximum quality from a smaller/cheaper model — generates training data from a teacher model and fine-tunes a student model weights.
Strukturiert die Lessons-Learned-Nachbereitung eines Datenschutzvorfalls: Behandelt: Post-Mortem-Workshop; Ursachenanalyse Root Cause; Maßnahmenkatalog; Verantwortlichkeiten und…
Prüft Praxispartner, Studienvertrag, Exmatrikulation, Akkreditierung und Status im Hochschulrecht Länder.
Navigate Dubai as visitor, resident, tech worker, student, or entrepreneur with neighborhoods, transport, costs, visas, and local insights.
Aural skills development covering interval recognition, chord quality identification, rhythmic and melodic dictation, sight-singing, and progressive pedagogy.
Use when a change is architecturally significant and spans three or more repos — to thread a hard-won lesson through an entire ecosystem with a single approvable plan.
Prüft ECTS, Workload, Anerkennung, Fehlverbuchung und Studienfortschritt im Prüfungsrecht Hochschule.
Verifies relationships between a source text (e.g. Episode, Task) and existing Knowledge Graph lessons.
Compétence en recherche en éducation et IA suivie sur arXiv sous cs.CY, cs.HC et domaines connexes. Couvre les systèmes de tutorat intelligents, l'apprentissage adaptatif,…
정답과 해설이 포함된 시험 문제지·모의고사·오답 분석표를 만들어 드립니다. 다음과 같은 요청 시 사용하세요: - "정보처리기사 실기 모의문제 10개 만들어줘" - "이 단원에서 나올 만한 내신 예상 문제 출제해줘" - "수강생 이해도 확인할 형성평가 퀴즈 만들어줘" - "공무원 5지선다 모의고사 만들어줘" -…
Explique un concept complexe de manière simple, progressive et avec des analogies. À utiliser quand l'utilisateur ne comprend pas quelque chose et a besoin d'une explicat — from…
Interpretation guidance for Urban Institute Portal datasets. Coded values (-1/-2/-3), year definitions, grade encoding, suppression, licensing, cross-source joins.
Discovers education data from Urban Institute Portal: endpoints, variables, year coverage, join keys (CCD, IPEDS, CRDC, Scorecard, SAIPE). Use to map questions to data.
Downloads education datasets from configured mirror sources (parquet/CSV) with local Polars filtering. Use when writing fetch scripts or retrieving CCD, IPEDS, CRDC, SAIPE data.
CSS — annual Clery Act crime/fire safety for Title IV institutions. Portal: hate crimes only (2005-2021); primary offenses, VAWA, arrests, fire safety need ope.ed.gov directly.
CCD — federal universe of all U.S. public K-12 schools (~100K) and districts (~18K). Enrollment, staffing, finance, directory data (1986-present).
CRDC — biennial OCR survey of all U.S. public schools (2011-2021). Discipline, course access, harassment, restraint/seclusion by race/sex/disability/EL.
EADA — college athletics gender equity (~2,000+ institutions, 2002-2021). Participation, coaching, salaries, expenses, revenues, athletic aid by gender.
EDFacts — K-12 outcomes: assessment proficiency, ACGR graduation rates, ESSA accountability at school/district level (2009-2020). Within-state trends and subgroup gaps.
FSA — Title IV aid at institution level (~5,500 institutions, 1999-2021). Pell Grants, Direct/PLUS loans, campus-based aid, financial responsibility scores, 90/10 metrics.
IPEDS — primary federal postsecondary data (~6,500 institutions, 1980-present): enrollment, completions, graduation rates, finance, aid, admissions, HR.
MEPS — Urban Institute modeled school-level poverty (% at 100% FPL), from CCD + SAIPE (public schools, 2009-2022, 2-3yr lag). Use when FRPL is unreliable due to CEP.
NACUBO endowment data (~650 institutions, 2012-2022). Portal: 7 columns only (total endowment, per-FTE, YoY change). Use for endowment size/trends.
NCCS — Form 990 data for private nonprofit colleges (Portal: IPEDS-matched, 1993-2016). Revenue, expenses, assets, endowment, governance beyond IPEDS.
NHGIS — census geography crosswalks via Portal: links schools (ncessch) and colleges (unitid) to tracts, block groups, CBSAs (1990-2020).
PSEO — Census data linking graduates to employment via LEHD wage records. Earnings percentiles at 1/5/10 years post-graduation by institution, degree, CIP.
SAIPE — annual Census poverty estimates for school districts (Portal; county/state not in Portal). Use for district poverty, Title I context, or trends. ~18-month lag.
College Scorecard — post-enrollment outcomes linking aid records to IRS/Treasury earnings. Earnings, loan repayment, debt via six Portal sub-datasets.
Prépare un examen avec quiz de test, points clés et stratégie de révision. À utiliser quand l'utilisateur veut se tester ou préparer un examen spécifique.
Expert-level guide to education expert 26. Comprehensive coverage of advanced concepts, production implementation, and optimization strategies.
Use when designing animations for educational platforms, e-learning, tutoring apps, or skill-building experiences
조사한 내용을 도식·차트·수식·코드 하이라이트가 들어간 단일 HTML 학습자료로 만들어 드립니다. 학습목표→핵심개념→도식→예제→복습으로 구조화해, 풍부한 설명과 시각화로 혼자서도 깊이 이해하게 돕습니다.
Expert in course platform selection and implementation - comparing Teachable, Kajabi, Thinkific, and custom solutions.
Comprehensive guide to education skill 35. Master the concepts, implementation, best practices, and real-world applications of education skill 35 in professional environments.
Comprehensive guide to education skill 41. Master the concepts, implementation, best practices, and real-world applications of education skill 41 in professional environments.
Master education specialized skill 109 with comprehensive coverage of concepts, implementation, optimization, and production best practices.
Master education specialized skill 131 with comprehensive coverage of concepts, implementation, optimization, and production best practices.
Master education specialized skill 147 with comprehensive coverage of concepts, implementation, optimization, and production best practices.
Master education specialized skill 25 with comprehensive coverage of concepts, implementation, optimization, and production best practices.
Master education specialized skill 293 with comprehensive coverage of concepts, implementation, optimization, and production best practices.
Master education specialized skill 53 with comprehensive coverage of concepts, implementation, optimization, and production best practices.