Route a learning request to the smallest useful set of Academy professors or instructors based on subject, level, and goal.
Dadmin88/hermes-profile-packs
SkillsMP has collected 207 skills from Dadmin88/hermes-profile-packs. Open a skill to review its source and details.
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Skills in this repository
Showing 40 of 207 collected skills.
Use when teaching a Hermes profile a bounded competency.
MUST load first for Academy learning or go-learn requests.
Create a compact teaching brief with learning goal, approximate level, relevant prior knowledge, constraints, and preferred depth or mode.
Decide whether a goal should stay with one specialist, use a paired execution/review pattern, or be decomposed across a larger team before creating coordination overhead.
Review an automotive learning task for lifting, electrical, high-voltage, fuel, heat, pressure, chemical, airbag, rotating-component, and environmental hazards.
Teach an automotive system through components, energy or signal flow, control logic, normal behavior, common failure modes, and inspection points.
Teach automotive diagnosis through symptom clarification, system knowledge, fault hypotheses, safe tests, evidence interpretation, and root-cause verification.
Teach a routine automotive maintenance procedure through prerequisites, safety, tools, verified service information, sequence, checks, and post-service verification.
Analyze pathways, feedback loops, organ systems, ecological systems, or cellular networks through components, interactions, regulation, and perturbation.
Teach a biological concept by connecting structure, mechanism, function, scale, evidence, and relevant evolutionary context.
Check biology understanding with mechanism explanation, data interpretation, prediction, and transfer across biological contexts.
Teach inheritance, probability, population change, selection, drift, mutation, gene flow, and evolutionary interpretation through guided problems.
Teach a chemistry concept by connecting macroscopic observations, particle-level models, symbolic notation, and quantitative relationships.
Check chemistry understanding with structure, reaction, quantitative, and explanation tasks that require transfer beyond memorized examples.
Teach balancing, mole relationships, limiting reagents, yields, concentrations, and dimensional analysis through guided quantitative practice.
Teach how electron structure, bonding, geometry, polarity, and intermolecular forces influence molecular properties and behavior.
Teach learners to read and critique a systems architecture by tracing requests, state, dependencies, trust boundaries, failure domains, and scaling assumptions.
Teach a cloud or systems concept through components, protocols, state, boundaries, failure modes, and provider-neutral fundamentals before product specifics.
Check systems understanding through request tracing, failure analysis, state reasoning, network boundaries, and reliability tradeoffs.
Teach reliability through failure scenarios, observability, redundancy, recovery, idempotency, capacity, and explicit service-level tradeoffs.
Review a learner's cooking result or process using sensory evidence, technique, timing, heat, ingredient balance, organization, and food-safety considerations.
Teach a cooking technique through purpose, preparation, heat control, sensory cues, timing, common errors, and safe execution.
Teach practical food-safety foundations including cross-contamination, temperature control, storage, allergens, hygiene, and risk-aware handling.
Teach learners to understand and adapt recipes by identifying structure, ingredient roles, ratios, sequencing, substitutions, and failure-sensitive constraints.
Check defensive cybersecurity understanding through threat identification, control selection, architecture critique, incident evidence, and mitigation reasoning.
Teach security mechanisms through bounded toy or authorized lab exercises focused on observation, detection, configuration, and mitigation rather than real-world compromise.
Teach a defensive security concept through assets, threats, trust boundaries, mechanism, controls, failure modes, and realistic examples.
Teach threat modeling by identifying assets, actors, entry points, trust boundaries, abuse cases, controls, residual risk, and verification.
Teach a reproducible data-analysis workflow from question and provenance through cleaning, exploration, modeling, validation, and communication.
Teach a data-science concept by connecting the analytical goal, data structure, statistical idea, computational tool, and interpretation.
Check data-science understanding with workflow design, leakage diagnosis, metric selection, model critique, and interpretation tasks.
Teach model evaluation through baselines, train-validation-test separation, metric selection, leakage detection, calibration, and error analysis.
Teach assessment design through alignment, validity, reliability, authentic evidence, item quality, rubrics, formative use, and feedback loops.
Teach a learning-science concept such as retrieval, spacing, cognitive load, transfer, feedback, prior knowledge, or deliberate practice with evidence and practical implications.
Teach lesson design by aligning learning outcomes, prerequisite knowledge, explanation, modeling, guided practice, independent practice, feedback, and closure.
Review a lesson, teaching interaction, or instructional plan for clarity, learner thinking, practice quality, feedback, accessibility, and evidence of learning.
Teach case reading through facts, procedural posture, issue, holding, rule, reasoning, dicta, disposition, and later significance.
Check legal-learning mastery through case briefing, issue spotting, source hierarchy, rule synthesis, and application to a changed hypothetical.
Teach a legal concept or doctrine using source hierarchy, elements, examples, exceptions, jurisdictional context, and policy rationale where relevant.