Gareth Manning
Community@garethmanning · Budapest, Hungary
Educator and learning-systems designer building evidence-grounded AI for teachers, schools and regenerative education.
Agent Skills by Gareth Manning
Showing 165 vetted skills indexed across 2 GitHub repositories.
discipline-specific-critical-thinking-task-designer
Designs discipline-specific critical thinking tasks grounded in domain knowledge and disciplinary reasoning standards.
perspective-taking-designer
Design four-phase perspective-taking activities with anti-projection guardrails and reasoning-focused assessment.
three-horizons-learning-transition-mapper
Map a scoped topic across H1, H3, and H2 horizons to classify transitions as H2+ or H2-.
multi-perspective-decision-wheel
Synthesize stakeholder, disciplinary, values, and time-horizon perspectives into a validated decision wheel.
scoping-for-transformative-learning-inquiry
Define inquiry scope with boundaries, environments, and quality gates.
place-based-curriculum-orchestrator
Select and structure place-based curriculum pathways with YAML-defined I/O schemas.
assessment-design-orchestrator
Route assessment planning across five pathways with validity and equity gates.
dilemma-navigation-for-education-design
Map competing education values into a structured both/and dilemma map.
compassionate-systems-awareness-orchestrator
Orchestrates a compassionate systems awareness workflow for educators with pathway selection and safety gates.
inclusive-design-orchestrator
Coordinate universal-first inclusive design planning with UDL, differentiation, and language-access pathways.
regenerative-project-design-orchestrator
Route educators to regenerative project-design pathways with quality gates.
progressive-hint-ladder
Guide learners through a six-level progressive hint ladder with reflection-gated escalation.
ai-claim-checker
Convert AI-generated explanations into testable claims with verification methods and sources.
weekly-agency-review
Convert session evidence into agency patterns and a next-period strategy goal.
confidence-calibration-check
Compare confidence ratings before and after learning attempts to identify calibration patterns.
srl-session-wrapper
Wrap study sessions in forethought, performance, and reflection cycles.
explain-first-interrogator
Require learner self-explanation before AI evaluation with targeted probing questions.
productive-failure-protocol
Guide learners through two-attempt exploration before instruction with attempt-referenced consolidation.
stuck-and-error-diagnosis-coach
Diagnose learner errors by type before providing targeted remediation.
unassisted-evidence-checkpoint
Administer unassisted learner attempts with pre/post confidence capture.
teach-back-evaluator
Evaluate learner understanding by teaching concepts to a novice-peer AI.
transfer-bridge
Run near and far transfer challenges to verify portable understanding of a learned concept.
fading-manager
Track learner performance across sessions and adjust scaffold levels 0–4.
retrieve-first-gate
Require free-recall attempts and confidence ratings before providing explanations.