Results for “learnings”

Manage project learnings.

Recursive self-improving holon λ(ο,Κ,Σ).τ' for knowledge compounding and schema evolution. USE WHEN learning, improving, optimizing, assessing, reflecting, debugging, synthesizing, or refining—whether human, AI, or organizational. Triggers on /learn, /compound, /improve, /refine, /optimize, /assess, /reflect, "lessons learned", "best practices", "continuous improvement". Preserves Κ-monotonicity, η≥4, homoiconicity.

Help a user learn a topic through adaptive tutoring, lesson planning, practice, retrieval checks, explanations, study guides, or exercises. Use when the user asks to learn, understand, practice, drill, review, study, or be tutored on something.

Help a user learn a topic through adaptive tutoring, lesson planning, practice, retrieval checks, explanations, study guides, or exercises. Use when the user asks to learn, understand, practice, drill, review, study, or be tutored on something.

Help a user learn a topic through adaptive tutoring, lesson planning, practice, retrieval checks, explanations, study guides, or exercises. Use when the user asks to learn, understand, practice, drill

Converting repository changes into detailed learning documents. Use when turning diffs into teaching materials, recording design decisions, or creating onboarding materials for new members.

Execute self-learning system that captures corrections during sessions and syncs them to CLAUDE.md. Use when discussing learnings, corrections, or when the user mentions remembering something. Trigger with phrases like "remember this", "don't forget", "use X not Y", or "actually...".

AutoAugment: Learning Augmentation Strategies from Data

Help a user learn a topic through adaptive tutoring, lesson planning, practice, retrieval checks, explanations, study guides, or exercises. Use when the user asks to learn, understand, practice, drill, review, study, or be tutored on something.

Self-evolution and contribution system for makepad-skills. Use when capturing new patterns, correcting skill errors, contributing learnings, or setting up hooks for auto-triggered skill updates.

Help a user learn a topic through adaptive tutoring, lesson planning, practice, retrieval checks, explanations, study guides, or exercises. Use when the user asks to learn, understand, practice, drill, review, study, or be tutored on something.

当需要深化对某个主题的理解、检验知识掌握程度或克服“冒名顶替综合征”时

Merges mature lessons from a domain memory file into its instruction file, preserving knowledge with minimal redundancy.

Transforms lessons learned into domain-organized memory instructions that persist across VS Code contexts, with global and workspace scopes.

Mental models and decision frameworks for building autonomous agents that continuously learn, explore, and accumulate skills in open-ended environments without human supervision

当需要高效掌握新技能并将知识转化为实际成果，避免“纸上谈兵”时

Teaches the user a new skill or concept within the workspace. Use when the user says "teach me X", wants to learn a topic over sessions, or needs a structured learning plan.

Design badge and achievement systems for learning. TRIGGERS - Use when user needs help with badge-system related tasks.

Adaptively tutor, plan lessons, and provide practice exercises for any topic through active learning techniques.

Teach the user a new skill or concept, within this workspace.

Transform learning content (like YouTube transcripts, articles, tutorials) into actionable implementation plans using the Ship-Learn-Next framework. Use when user wants to turn advice, lessons, or educational content into concrete action steps, reps, or a learning quest.

Graduate a proven pattern from auto-memory (MEMORY.md) to CLAUDE.md or .claude/rules/ for permanent enforcement.

Review reusable project knowledge and decide what belongs in project memory, notepad, or durable docs

Teach the user a new skill or concept in a multi-session teaching workspace with missions, lessons, and learning records.

Post-execution skill crystallization and learning engine updates for WinDAGs. Runs after successful execution to update Thompson sampling parameters, track method quality, detect monster-barring, log near-miss events, and signal Kuhnian crises. Activate on "curator", "learning update", "skill crystallization", "Thompson sampling", "monster-barring", "near-miss", "Kuhnian crisis", "post-execution learning". NOT for pre-execution risk scanning (use windags-premortem), retrospective analysis (use windags-looking-back), or DAG construction (use windags-architect).

Transforms lessons learned into domain-organized memory instructions (global or workspace). Syntax: `/remember [>domain [scope]] lesson clue` where scope is `global` (default), `user`, `workspace`, or `ws`.

PyTorch, TensorFlow, neural networks, CNNs, transformers, and deep learning for production

Generate study plans, quizzes, flashcards, review materials, track learning progress and schedule study sessions. Use when users ask to create study plans, generate quiz questions, make flashcards, track study progress, or schedule review sessions for any topic.

当需要快速掌握一门新技能或知识领域，且希望通过实践而非单纯理论学习时

Record a notable failure, fix, or surprise as a lessons entry so future work avoids repeating mistakes. Use after debugging incidents, regressions, or high-value discoveries.

Multimodal Learning with Transformers: A Survey

Use when analyzing patterns across multiple incidents, bugs, failures, or successes to extract organizational learning. This skill provides procedures for synthesizing individual experiences into actionable lessons that improve team-wide practices.