College Scorecard — post-enrollment outcomes linking aid records to IRS/Treasury earnings. Earnings, loan repayment, debt via six Portal sub-datasets.
Für Education und Distance Learning Paragraf 110: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.
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.
Use when a task needs the judgment of a tenure-track/tenured Education Professor in a teacher-preparation program — designing a licensure course unit against InTASC/CAEP…
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.
Master education specialized skill 85 with comprehensive coverage of concepts, implementation, optimization, and production best practices.
Master education specialized skill 94 with comprehensive coverage of concepts, implementation, optimization, and production best practices.
Organise un planning de révision ou d'étude avec répétition espacée et priorisation. À utiliser quand l'utilisateur prépare un examen ou veut organiser ses études.
Comprehensive K-12 or higher-ed system analysis: predict student dropout risk with early warning indicators, optimize curriculum alignment and pacing, personalize learning paths…
Personalized tutoring, study strategies, lesson planning, and educational support across subjects and learning styles
Creates educational UI components following learning science principles. Use for classroom, student, or teacher interfaces.
Use when creating educational content, explaining concepts through animation, or when teaching animation principles to students.
EduMe integration. Manage data, records, and automate workflows. Use when the user wants to interact with EduMe data.
Edusign integration. Manage Documents, Templates, Users, Groups. Use when the user wants to interact with Edusign data.
Source-cited draft: company formation & entity choice for Estonia (tax year 2025) — rates, thresholds and rules with primary-source citations.
Source-cited draft: corporate income tax for Estonia (tax year 2025) — rates, thresholds and rules with primary-source citations. Unverified; pending local-accountant review.
Source-cited draft: tax overview for Estonia (tax year 2025) — rates, thresholds and rules with primary-source citations. Unverified; pending local-accountant review.
When the user wants to audit, strengthen, or prepare evidence for Experience, Expertise, Authoritativeness, and Trust.
Analyze and optimize E-E-A-T signals (Experience, Expertise, Authority, Trust) for content credibility.
Use when auditing a page for E-E-A-T signals. The agent reads the page and scores Experience, Expertise, Authoritativeness, and Trustworthiness — then tells you exactly what to…
When the user wants to improve E-E-A-T, add trust signals, or optimize for expertise and authority. Also use when the user mentions "E-E-A-T," "E-E-A-T signals," "experience…
Prüfung der Anspruchsvoraussetzungen für Marktprämie und Einspeisevergütung nach EEG 2023 – Anlagenart, Inbetriebnahme (§ 3 Nr.
EEG- und KWKG-Verguetungen für Stromerzeugungsanlagen prüfen: Einspeiseverguetung, Marktpraemie, KWK-Zuschlag. Normen: §§ 19 ff. EEG, §§ 6 ff. KWKG.
Use when a European Economic Review (EER) decision letter arrives (R&R or reject-with-appeal grounds) and a response strategy and letter are needed.
Use when assembling the data and code deposit for a European Economic Review (EER) manuscript under Elsevier's mandatory replication policy.
Use when a European Economic Review (EER) result must be shown to survive specification, sample, measurement, and inference changes — the robustness battery referees demand.
Use when building or revising exhibits for a European Economic Review (EER) manuscript so they report standard errors, read cleanly, and follow Elsevier economics norms.
Use when a European Economic Review (EER) manuscript needs a theoretical model built or tightened — a pure-theory result, a quantitative/structural macro model, or a conceptual…
Use when deciding whether a question is a fit for the European Economic Review (EER) — general-interest across all of economics — rather than a field journal, JEEA, or The…
Use when deciding which eer-* sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a European Economic Review (EER) submission.
Encode and decode Erlang External Term Format (ETF) in Rust using the `eetf` crate. Use when working with binary terms produced by `term_to_binary/1` in Erlang/Elixir, building…
Add an EF Core migration in the open workspace. Discovers startup project, DbContext, and migrations folder. Use when adding a migration or invoking /ef-add-migration.
Agent-to-agent trading for the EigenFlux network. Covers service discovery, placing orders, order lifecycle (delivery, release via Kovaloop transfer), and the buyer gate.
Entity Framework Core best practices including NoTracking by default, query splitting for navigation collections, migration management, dedicated migration services, and common…
Atom.runtime, Atom.make, runtimeAtom.fn, operation atoms, Result handling. Atom-as-State doctrine for integrating Effect services with React.
Enforces Effect-TS patterns for services, errors, layers, and atoms. Use when writing code with Effect.Service, Schema.TaggedError, Layer composition, or effect-atom React…
Value-based data structures (Data.struct, tuple, array) and high-performance collections (Chunk, HashSet). Use for safe comparisons and pipelines.
Concurrency with Effect.all, forEach concurrency, Fiber lifecycle, race and timeouts. Use for parallelizing tasks safely.
Config loading and Schema validation/transform. Use when defining configuration or validating inputs.
Decide between Context.Service witness and capability patterns for dependency injection, understanding coupling trade-offs
Effect development guidance. Use when implementing or reviewing code that composes Effect APIs or patterns.
Error modeling and recovery with TaggedError, catchTag(s), mapError, and retry schedules. Use when defining errors or adding resilience.
Core Effect foundations and style for a coding agent. Use when starting an Effect task, choosing operators, or structuring a small pipeline.
HTTP server, routing, JSON responses and dependencies via layers. Use when wiring endpoints and services.
Skill index and decision guide. Use to pick the right Effect Skill quickly and follow a minimal decision tree.
Effect Layer construction, composition, and provision. Use when creating layers, wiring dependencies, composing service graphs, or providing layers to programs.
Define services, provide layers, compose dependencies, and switch live/test. Use for DI boundaries and app composition.
Enforce Effect.log over console.log in TMNL. Effect-native logging provides structured output, dynamic log levels, annotations, spans, and observability integration.
Effect.Match for discriminated unions, Queue/PubSub for concurrency, Fiber lifecycle, and HashMap for registries. Covers patterns missing from effect-patterns skill.