Claude Skills by majiayu000

Access legal documents and business formation services with LegalZoom.

Converts hierarchical legislative text from Word documents into a flat list of requirements. Use when processing regulatory documents, compliance frameworks, or legal text that needs to be extracted into individual, numbered requirements for analysis or mapping.

How to project legitimacy for Solana projects: disclosures, address registry, audits, comms patterns, red-flag avoidance. Use for project pages, announcements, and community trust work.

检测"我叫乐乐"等触发词，切换暴躁回复模式

Lelon Electronics MPN encoding patterns, suffix decoding, and handler guidance. Use when working with Lelon aluminum electrolytic capacitors.

AI-powered insurance for renters, homeowners, pet, and life coverage.

Integrates payments and subscriptions with Lemon Squeezy merchant of record platform. Use when selling digital products, SaaS subscriptions, or software licenses with built-in tax handling.

Load when working with KapanRouter instructions, UTXO tracking, flash loan flows, or debugging transaction failures

Le arquivos Excel (.xlsx, .xls) e CSV enviados pelo usuario. Use quando o usuario anexar um arquivo e pedir para analisar, importar ou processar os dados. Retorna o conteudo como JSON para analise.

Converts a Refound/Lenny Skill into a high-density, agent-executable Skill Pack (Agent Skills standard). Output must be in English.

Best practices for Lerna monorepo management, versioning, and publishing

Converts raw text into a complete lesson: Title, Objectives, Concepts, Code, Practice, Summary

Answer lesson-specific content questions. Use when a customer asks about a lesson, code example, or concept in a course.

Creates comprehensive, detailed lesson plans for AI/prompt engineering classes. Use when the user asks to create a new lesson, develop class content, or needs a detailed teaching plan for a session. Generates minute-by-minute breakdowns with activities, differentiation, and assessment.

Generate lesson content following 4-Layer Teaching Framework with standardized metadata and Docusaurus conventions

This skill should be used when educators, trainers, curriculum designers, or instructional designers need to create comprehensive lesson plans from a topic. The skill generates structured educational content with learning objectives aligned to Bloom's taxonomy, content outlines, interactive exercises, assessment quizzes, and instructor notes. It can read existing .docx and .pptx files for context and exports final lesson plans as .docx files. Triggers include requests to create lesson plans, ...

Run Python code in lesson context with proper uv and venv handling for agent-spike project. Activate when user wants to run tests, demos, or CLI commands for lessons in lessons/ directories. Project-specific for agent-spike multi-agent learning.

Use when concluding significant work to extract reusable patterns and anti-patterns

Complete lessons learned standards, validation, and multi-file management. Single source of truth for all lessons learned operations including format, size limits, split procedures, and quality standards.

Use when capturing discoveries after phase completion, before shipping, or when reflecting on completed work to extract reusable patterns

Capture and review lessons learned from coding sessions. Use to record insights, read past lessons, and improve over time.

Identifies deeply nested if-let expressions and suggests let chains for cleaner control flow. Activates when users write nested conditionals with pattern matching.

Fast semantic code navigation via LSP. Load FIRST before ANY code task - even 'simple' ones. Trigger scenarios: (1) fixing lint/type/pyright/mypy warnings or errors, (2) fixing reportAny/reportUnknownType/Any type errors, (3) adding type annotations, (4) refactoring or modifying code, (5) finding where a function/class/symbol is defined, (6) finding where a symbol is used/referenced/imported, (7) understanding what a function calls or what calls it, (8) exploring unfamiliar code or understand...

Letta framework for building stateful AI agents with long-term memory. Use for AI agent development, memory management, tool integration, and multi-agent systems.

Create engaging newsletters that get read, clicked, and shared

A scientific framework to identify your current stage of product-market fit and navigate the transition from founder-led grinding to a scalable, efficient business. Use this when you are stuck at a revenue plateau, struggling to acquire the "marginal customer," or considering a pivot.

Manage talent acquisition with Lever's modern ATS and CRM platform.

Audit a codebase for the 12 leverage points of agentic coding. Identifies gaps and provides prioritized recommendations. Use when improving agentic coding capability, analyzing why agents fail, or optimizing a codebase for autonomous work.

Leonid Levin''''s algorithmic complexity meets playful mutual ingression. Use for: BB(n) prediction markets, Kolmogorov complexity rewards, WEV extraction from proof inefficiencies, Nash equilibrium between exploration (LEVITY) and convergence (LEVIN).

Playful mutual ingression meets Leonid Levin's algorithmic bounds. Use for: playful exploration with theoretical guarantees, mutual ingression with convergence proofs, emergent solutions within complexity bounds, social computation meeting algorithmic optimality.

Creates 4 root documentation files (CLAUDE.md, docs/README.md, documentation_standards.md, principles.md). L3 Worker invoked by ln-110-project-docs-coordinator.

Creates 3 core project docs (requirements.md, architecture.md, tech_stack.md). L3 Worker invoked by ln-110-project-docs-coordinator. ALWAYS created.

Creates runbook.md for DevOps setup. L3 Worker invoked CONDITIONALLY when hasDocker detected.

Creates task management documentation (docs/tasks/README.md + kanban_board.md). L2 Worker in ln-100-documents-pipeline. Sets up Linear integration and task tracking rules.

Orchestrates full decomposition (scope → Epics → Stories) by delegating ln-210 → ln-220. Sequential Story decomposition per Epic. Epic 0 for Infrastructure.

CREATE/REPLAN Epics from scope (3-7 Epics). Batch Preview + Auto-extraction. Decompose-First Pattern. Auto-discovers team ID.

CREATE/REPLAN Stories for Epic (5-10 Stories). Delegates ln-001-standards-researcher for standards research. Decompose-First Pattern. Auto-discovers team/Epic.

Creates Stories from IDEAL plan (CREATE) or appends user-requested Stories (ADD). Generates 8-section documents, validates INVEST, creates in Linear. Invoked by ln-220.

Replans Stories when Epic requirements change. Compares IDEAL vs existing, categorizes operations (KEEP/UPDATE/OBSOLETE/CREATE), executes in Linear.

RICE prioritization per Story with market research. Generates consolidated prioritization table in docs/market/[epic-slug]/prioritization.md. L2 worker called after ln-220.

Orchestrates task operations. Analyzes Story, builds optimal plan (1-6 implementation tasks), delegates to ln-301-task-creator (CREATE/ADD) or ln-302-task-replanner (REPLAN). Auto-discovers team ID.

Creates ALL task types (implementation, refactoring, test). Generates task documents from templates, validates type rules, creates in Linear, updates kanban. Invoked by orchestrators.

Updates ALL task types (implementation/refactoring/test). Compares IDEAL plan vs existing tasks, categorizes KEEP/UPDATE/OBSOLETE/CREATE, applies changes in Linear and kanban.

Validates Stories/Tasks with GO/NO-GO verdict, Readiness Score (1-10), Penalty Points, and Anti-Hallucination verification. Auto-fixes to reach 0 points, delegates to ln-002 for docs. Use when reviewing Stories before execution or when user requests validation.

Orchestrates Story tasks. Prioritizes To Review -> To Rework -> Todo, delegates to ln-401/ln-402/ln-403/ln-404, hands Story quality to ln-500. Metadata-only loading up front.

Executes implementation tasks (Todo -> In Progress -> To Review). Follows KISS/YAGNI, guides, quality checks. Not for test tasks.

Worker that runs existing tests to catch regressions. Auto-detects framework, reports pass/fail. No status changes or task creation.

Coordinates 9 specialized audit workers (security, build, architecture, code quality, dependencies, dead code, observability, concurrency, lifecycle). Researches best practices, delegates parallel audits, aggregates results into single Linear task in Epic 0.

Security audit worker (L3). Scans codebase for hardcoded secrets, SQL injection, XSS, insecure dependencies, missing input validation. Returns findings with severity (Critical/High/Medium/Low), location, effort, and recommendations.

Build health audit worker (L3). Checks compiler/linter errors, deprecation warnings, type errors, failed tests, build configuration issues. Returns findings with severity (Critical/High/Medium/Low), location, effort, and recommendations.