Use when reviewing a weekly learning sheet for pedagogical quality — evaluates beginner motivation, intuition, example quality, and proof correctness
User-invoked review of the learning ledger; promotes recurring lessons to project rules or principles.
This skill should be used when the user asks to 'reflect on this session', 'save insights to memory', 'capture what we learned', 'commit this to memory', 'save decisions to Basic…
Long-form guided demo of the all-maw-verb team bootstrap pattern — walks step-by-step from blank tmux session → maw tile N → TeamCreate → maw run with team-flagged claude.exe →…
Transforms knowledge sources into an Obsidian StudyVault. Two modes: (1) Document Mode — PDF/text/web sources → study notes with practice questions.
Transform text into written Taiwanese Hokkien （台語 / 閩南語 / 台文） — the written representation of 台灣閩南語 using either pure-Hanzi orthography (Light, all 漢字 per 教育部 700-字詞 + 訓用字） or 漢羅…
Context-aware chat about the project: discuss plans, retros, lessons, and code; navigate the vault; and handle chores (frontmatter tweaks, status flips, inline plan or code edits)…
Lessonly (Seismic Learning) training platform integration
Create session retrospective with AI diary and lessons learned. Use when user says "rrr", "retrospective", "wrap up session", "session summary", or at end of work session.
Measurable criteria translating qualitative debate to quantitative scores
Structured skill for conducting engineering trade studies and concept selection
Validate a SKILL.md file against the four-tier validation system: Tier 0 (locate), Tier 1 (standard or marketplace grading per the IS 100-point rubric), Tier 2 (static production…
EO MicroSaaS OS Guide v2 — master orchestrator for the 6-phase MicroSaaS journey. Creates workspace, detects progress, guides students phase-by-phase, handles language pr — from…
Extract learning from completed work to improve future cycles. Use when: (1) After VERIFY phase shows feature complete, (2) End of development iteration, (3) User asks for…
[74] CLOSE. Quick checkpoint during active work when context is running low. Use multiple times per development cycle to preserve progress and lessons.
Use for insight, reframing, contradiction, impasse, and anomaly-driven problem solving when execution effort no longer helps.
Use when when you have a neural network or machine learning model with multiple tunable hyperparameters (layer size, regularization strength, dropout) or design choices (e.
HOAI-Praxis: erstellt Abschlussbericht, Gewährleistungsplan und Lessons Learned; für Architekten, Ingenieure, Bauleiter, Bauunternehmen, Anwälte, Sachverständige und Bauherren im…
Adaptive Cross-session Experience (ACE) playbook manager. Handles lesson extraction, playbook updates, and confidence tracking.
Audit this repo against the AI Codebase Maturity Model (ACMM) — canonical 6-level rubric with 85 criteria from 4 source frameworks (ACMM, Fullsend, AEF, Reflect).
Tutor a student through the A.CRE Accelerator Core — the 18-course flagship program that teaches CRE pros to build institutional-quality models from scratch.
Produce reviewable acrostic draft with validation, safety checks, and structured output. Use when a teacher, student, or literacy-resource author needs this bounded workflow and…
Reusable prompts for labs and sections: predict, justify, compare, teach-back, and peer instruction.
Эксперт active learning. Используй для ML с участием человека, uncertainty sampling, annotation workflows и labeling optimization. — from Nir-Bhay/markups
Эксперт active learning. Используй для ML с участием человека, uncertainty sampling, annotation workflows и labeling optimization. — from majiayu000/claude-skill-registry
Use when a task needs the judgment of an Adapted Physical Education Specialist — writing a legally-defensible PE present level and annual goal from motor/fitness assessment data,…
Generate a cascading hint sequence for a problem type, revealing progressively without giving answers. Use when designing tutoring dialogues or scaffolded worksheets.
Generiere eine Hinweisfolge für einen Problemtyp, die progressive Offenlegung zeigt ohne die Antwort zu geben.
Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.
TLCL müfredatına yeni bir ders/görev ekler. js/course.js içindeki courseData dizisine kitapla hizalı bir ders nesnesi ekler, gerekli komutları açar ve en/ aynasını çevirir.
Capture a durable lesson, correction, or convention from this session as a reusable adept skill, then sync it to every harness.
Produce reviewable adjective annotations/list with validation, safety checks, and structured output. Use when a teacher, tutor, or language learner needs this bounded workflow and…
Use when a task needs the judgment of an Adult ESL/Basic Education Instructor — placing a new adult learner using standardized assessment scores, designing life-context-relevant…
Master LLM-as-a-Judge evaluation techniques including direct scoring, pairwise comparison, rubric generation, and bias mitigation.
Master LLM-as-a-Judge evaluation techniques including direct scoring, pairwise comparison, rubric generation, and bias mitigation.
Use when providing educational legal structure guidance for entrepreneurs. Covers business entity selection, liability considerations, IP protection, and professional referral…
Client advisory communication with fiduciary tone, compliance-friendly language, and plain-language financial education
Complete strategic thinking & mental models toolkit. 50+ decision frameworks organized by situation type — business strategy, investing, hiring, pricing, risk, negotiations,…
Structured post-goal reflection that extracts lessons, evaluates quality, and feeds the self-improvement loop
AG-Vorbereitung und Cold-Call-Prep für Jurastudium: Anwendungsfall Student wird im naechsten Seminar oder Arbeitsgemeinschaft aufgerufen und muss konkrete Faelle vorberei — from…
AG-Vorbereitung und Cold-Call-Prep für Jurastudium: Anwendungsfall Student wird im naechsten Seminar oder Arbeitsgemeinschaft aufgerufen und muss konkrete Faelle vorberei — from…
Map control, influence, and concern after systems analysis. Use when students need wise agency without being made responsible for everything.
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more.
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more.
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more.
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more.
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more.
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more.
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more.
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more.
Train AI agents using AgentDB's 9 reinforcement learning algorithms including Q-Learning, DQN, PPO, and Actor-Critic.
17-lesson 2026-current supplement to the AI Model Factory by Herman Carter course. Each lesson fills a specific gap in Herman's 2025-vintage stack with the May 2026…
Design an evaluation plan for an LLM or AI feature before shipping it. Use when asked how to evaluate a prompt/model/agent, set up an eval harness, define quality metrics for an…
Help users create and run AI evaluations. Use when someone is building evals for LLM products, measuring model quality, creating test cases, designing rubrics, or trying — from…
Help users create and run AI evaluations. Use when someone is building evals for LLM products, measuring model quality, creating test cases, designing rubrics, or trying — from…
Design a Funhouse Mirror activity where students use their own domain expertise to detect AI distortions, omissions, and overconfidence.
Design AI-supported collaborative tasks that structure group interaction and address participation problems. Use when students struggle to collaborate effectively on group tasks.
Expert in applying AI to education - AI tutors, personalized learning paths, content generation, automated assessments, and adaptive learning systems.
Map which elements of an assignment benefit from AI assistance vs. which AI use undermines. Use when redesigning tasks for AI-age classrooms or setting defensible AI use policies…
Design a structured protocol for auditing AI-generated text against Ennis's six CT standards. Use when students need to critically evaluate AI output in any subject.