Prüft Permitted Leakage, verbotene Leakage, Belege, Claim-Notice und Vergleichsstrategie im Private Equity Praxis.
Lean 4 FFI memory layout for constructors with mixed object and scalar fields. Use when: (1) assertion violation "i < lean_ctor_num_objs(o)" accessing constructor fields, (2)…
Lean 4 code generation best practices. Use when writing Lean 4 code to avoid common AI mistakes with syntax, types, tactics, and project configuration.
Use when working with Lean 4 (.lean files), writing mathematical proofs, seeing "failed to synthesize instance" errors, managing sorry/axiom elimination, or searching mathlib for…
Ultra-compressed communication mode. Cuts visible token usage while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite,…
LeanData integration. Manage data, records, and automate workflows. Use when the user wants to interact with LeanData data.
Search LEANN indexes (zain's fork — Wave 1 temporal + Wave 2 metadata-aware). Use when the user wants to search/query/retrieve from an index, apply metadata filters, ask…
Analyze leap year calculations, calendar systems, and date validation logic. Use this when the user asks about leap year rules, calendar types (Gregorian, Julian, Hebrew,…
Leapfin integration. Manage data, records, and automate workflows. Use when the user wants to interact with Leapfin data.
LEAPS (long-dated equity options, 1-3 years out) selection framework. Filters strikes by IV, open interest, breakeven, leverage. Computes payoff at multiple price scenarios.
Interactive Socratic learning module on AI product management: model evaluation, responsible AI, prompt engineering, AI metrics, and managing AI features in production.
Adaptive AI tutor that teaches any topic, from any starting level, in any language, with 6 learning modes and real hands-on exercises.
Capstone project for the PM Foundations Course: act as PM for a product from discovery through launch decision, applying every framework learned across all prior modules in a…
Claude Code 초보자를 위한 인터랙티브 학습 튜터. 환경·수준·목표를 인터뷰한 뒤 가이드북 섹션을 동적으로 로드하여 맞춤 학습 경로와 실전 예제를 제공합니다. Use when: (1) Claude Code 학습, (2) 튜토리얼, (3) 사용법 안내가 필요할 때.
Prime a codebase by reading every source file in full. Use when starting work on a new or unfamiliar project, or when the user asks to "learn the codebase", "read the codebase",…
AI tutoring and education powered by CellCog。Study guides, exam prep, coding tutorials, language。Use when 需要设计创作、UI设计、海报制作、品牌视觉时使用。不适用于3D建模和动画制作。适用于独立开发者、企业团队和自动化工作流场景。
Teach Claude a new pattern, preference, or convention explicitly. Use when you want to save a correction, preference, or coding pattern for future sessions.
Analyze recent /define sessions to extract user preference patterns and write them to CLAUDE.md. Use when you want to learn from past define sessions, extract define patterns,…
Interactive Socratic learning module on continuous product discovery using Teresa Torres's Opportunity Solution Tree framework.
Cluster session-learning records into HBK/memory/skill candidates (/foundry:learn-distill), on a native-scheduled cadence.
Extract reusable patterns from the session, self-evaluate quality before saving, and determine the right save location (Global vs Project).
Interactive introductory module covering PM fundamentals: the PM role, core mindset, key frameworks overview, and the PM skill tree — designed for those new to product management.
Design a real project to learn a skill by building something — the fastest way to actually get good, instead of endless tutorials.
从过去 N 天的对话历史中提炼经验教训——分析每次 agent 交互中的异常、失败、成功模式， 提出 CLAUDE.md/AGENTS.md 更新建议、可凝聚为 skill 的新方向、以及现有 skill 的改进点。 当用户说"总结历史对话"、"learn from history"、"回顾最近的对话"、"从历史中学习"、 "分析最近的 agent…
เรียนรู้จาก patterns ที่พบใน codebase, competitors, หรือ real-world implementations
Extract patterns from human PR review comments. Shows proposals with citations for users to decide which become AGENTS.md rules. Filters bot noise and provides clickable PR links.
Analyze Claude Code sessions to learn what went right/wrong and suggest high-confidence improvements to skills.
Evaluate one user-provided source (URL, document, repository, local file, or pasted text) for lessons that could improve the current project's instructions, skills, workflows, or…
Provides autonomous project pattern learning by analyzing the codebase to discover development conventions, architectural patterns, and coding standards, then generates project…
Guiar a una persona a través del aprendizaje estructurado de un nuevo tema, tecnología o habilidad. La IA actúa como coach de aprendizaje — evaluando el conocimiento actual,…
Analyze all past sessions for this project and extract knowledge worth persisting to AGENTS.md, .claude/agents/, or memory. Deep analysis of full session history.
Learn about Nexus integrations and MCP. Load when user mentions: learn integrations, what is MCP, connect tools, integration tutorial, add integration, external tools, API…
Acts as an interactive legal tutor for learning a law, legal subject, doctrine, judgment, procedure, or legal concept.
Processes tasks/lessons.md as doctrine change-requests. 3 modes: local, central, recheck. Triggers on triage/trim/process lessons, promote universals.
Use when user explicitly requests systematic learning of a topic via "学习"、"讲解"、"teach me"、"@learn-map" — generates a 6-stage Feynman-style learning map (hook → anchor → decompose…
Interactive metrics workshop teaching North Star metrics, input metrics, and counter-metrics through a scored, Socratic exercise with a fictional B2C app scenario.
How to combine the Pareto Principle (80/20 rule) and the Feynman Technique to master complex software, skills, and subjects in record time.
Master Nexus philosophy and best practices. Load when user mentions: learn nexus, nexus tutorial, system mastery, nexus best practices, how nexus works, nexus philosophy, nexus…
当用户纠结要不要学某个东西、学到什么程度，或在做时间/精力/项目取舍时使用。用「简易策略」先逼问要解决的既定问题，检验现有知识能否搞定，评估知识贬值速度与 ROI，用「探索 vs 应用」判断该学新的还是用现有的，给出「学 / 不学 / 只学最小够用」的结论，避免囤积会贬值的知识。触发场景：要不要学…
PM Foundations Course coordinator: enroll in the structured 11-module PM learning curriculum, track your progress through units, and get personalized guidance on your next step in…
Interactive prioritization framework module where learners apply RICE, ICE, and Opportunity Score to a realistic product backlog and learn when each framework is most useful.
Inspect a reference repo and save its nyann-relevant setup (stack, hooks, branching, commit convention, extras) as a reusable profile.
Scan project code to detect patterns, dependencies, and conventions. Propose domain rules based on what the code actually does.
Learn how Nexus projects work. Load when user mentions: learn projects, how do projects work, projects vs skills, project tutorial, what is a project, project structure, project…
Capture a correction or lesson as a persistent learning rule with category, mistake, and correction. Stores, categorises, and retrieves rules for future sessions.
Learn how Nexus skills work. Load when user mentions: learn skills, how do skills work, what is a skill, skill tutorial, skill structure, understand skills, explain skills, when…
Polski towarzysz codziennej nauki. Tworzy krótką kartę wiedzy po polsku na podstawie polskiej Wikipedii.
Guided learning module on product strategy using Roger Martin's Playing to Win cascade, applied through a realistic B2B case study.
General-purpose timeout estimation skill. Trains dual models (duration regression + risk classification) from corpus data and observation feedback.
Only invoke when explicitly requested via "学习"、"讲解"、"teach me"、"@learn-topic". Do NOT auto-trigger.
Train RVC voice models from artist names. Full pipeline: YouTube search, download, stem separation, preprocessing, training, and model indexing.
Kỹ năng đồng hành học tập thực chứng sâu sắc, phản biện trực diện và có trạng thái dành cho nhà phát triển Backend 3 năm kinh nghiệm (chủ đạo NestJS, Java Core) và lập trình AI.
LearnDash integration. Manage Courses. Use when the user wants to interact with LearnDash data.
Manage learned patterns - list, view, archive, boost or penalize confidence. Use when you want to see what patterns Claude has learned, review pattern effectiveness, or manage the…
Diagnose the learner's goal, prior knowledge, misconceptions, constraints, and readiness before choosing instruction.
Dispatch entry point for the LearningAgents plugin. Routes to sub-commands for creating agents, running learning cycles, and reporting issues.
Analyze learner data from LMS reports, assessments, and engagement metrics to identify patterns and inform instructional decisions
Interpret learning analytics data and translate dashboard findings into actionable teaching decisions. Use when reviewing LMS data, quiz patterns, or engagement metrics.
Evaluate one objective against its declared mastery gate using observable, objective-type evidence and a deterministic advance-or-remediate decision.
Provides comprehensive guidance for learning assessment including assessment creation, evaluation methods, and assessment best practices.