Qualify and score sales leads using proven frameworks and data-driven criteria
Skills（SKILL.md）は、AIエージェント（Claude Code、Cursor、Codexなど）に特定の能力を追加するための設定ファイルです。
詳しく見る →Qualify and score sales leads using proven frameworks and data-driven criteria
Especialista em Regras de Negócio, Formatos de Liga SaaS, Lógica Financeira e Disputas do Super Cartola. Guardião das regras oficiais, fórmulas de cálculo, premiações e punições. Use para criar/ajustar configs de liga, calcular finanças, definir regras de disputas ou validar implementações de negócio.
**Build incrementally, structure before solving, trust the type checker.** Lean's type checker is your test suite.
Extract learnings from the current conversation and persist them to CLAUDE.md, skills, or repo-specific documentation.
learning-objectives
Generate measurable learning outcomes aligned with Bloom's taxonomy and CEFR proficiency levels for educational content. Use when educators need to define what students will achieve, create learning objectives for curriculum planning, or ensure objectives are specific and testable rather than vague.
Expert in lease abstraction and critical terms extraction. Use when abstracting lease agreements, extracting key dates, identifying critical provisions, or creating lease summaries. Key terms include lease abstraction, critical dates, rent schedule, operating costs, renewal options, termination rights, default provisions, use clause, assignment clause, Schedule G special provisions
Systematically test language switching, localization, RTL support, and content rendering across all supported languages in the Leavn iOS app. Gener...
Use when modifying, removing, or refactoring code that lacks test coverage. Emphasizes the danger of untested changes and the RGR workflow to add characterization tests before modifications.
Extrai texto de documentos jurídicos escaneados em PDF usando OCR otimizado para linguagem jurídica brasileira. Use quando precisar converter PDFs escaneados (sentenças, petições, acórdãos) em texto editável com alta precisão. Suporta documentos de baixa qualidade, multi-colunas, tabelas e termos jurídicos específicos.
Framework for demonstrating AI capabilities in legal contexts. Provides detailed personas across tenant law, business contracts, startup disputes, employment claims, and consumer protection with progressive complexity scenarios. Use when: (1) Demonstrating AI-powered legal triage or intake systems, (2) Showcasing responsible AI-assisted client interactions, (3) Training staff on appropriate AI use in legal contexts, (4) Creating realistic scenarios for legal tech presentations, (5) Developing educational materials about AI in legal services, or (6) Testing AI-powered legal information systems in controlled environments.
Converts a Refound/Lenny Skill into a high-density, agent-executable Skill Pack (Agent Skills standard). Output must be in English.
Answer lesson-specific content questions. Use when a customer asks about a lesson, code example, or concept in a course.
Generate lesson content following 4-Layer Teaching Framework with standardized metadata and Docusaurus conventions
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.
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.
Worker that runs existing tests to catch regressions. Auto-detects framework, reports pass/fail. No status changes or task creation.
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.
Dead code & legacy audit worker (L3). Checks unreachable code, unused imports/variables/functions, commented-out code, backward compatibility shims, deprecated patterns. Returns findings.
Orchestrates full project bootstrap from Replit export to production-ready structure
Upgrades npm/yarn/pnpm dependencies with breaking change handling
Upgrades .NET NuGet packages with breaking change handling
Upgrades Python pip/poetry/pipenv dependencies with breaking change handling
Generates .NET Clean Architecture backend structure from entity definitions
Generates GitHub Actions CI workflow configuration
Generates project-specific .claude/commands for Claude Code
Audits project dependencies for vulnerabilities. Multi-ecosystem support (npm, .NET, Python, Go). CVSS-based severity classification.
Coordinates logging, error handling, CORS, health checks, and API docs
Configures global exception handling middleware
Configures CORS policy for development and production
Configures health check endpoints for Kubernetes readiness/liveness/startup
Configures Swagger/OpenAPI documentation
Orchestrates final verification - build, test, and container health checks
Queries Chilean legislation from the Biblioteca del Congreso Nacional using SPARQL and Linked Data. Use when searching for Chilean laws, decrees, regulations, congressional information, or when user mentions specific Chilean legal codes.
LG Innotek MPN encoding patterns, LED suffix decoding, and handler guidance. Use when working with LG LEDs, camera modules, automotive components, or LGHandler.
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'libghostty-vt'
Specialized agent for multi-repository analysis, searching remote codebases, retrieving official documentation, and finding implementation examples using GitHub CLI, Context7, and Web Search. Use proactively when unfamiliar libraries or frameworks are involved, working with external dependencies, or needing examples from open-source projects to understand best practices and real-world implementations.
Research and documentation expert - finds answers and examples
Configure build systems, optimize bundle size, manage exports for ESM/CJS/UMD, and publish packages to NPM with proper versioning
Standardized library design patterns for autonomous-dev including two-tier design, progressive enhancement, non-blocking enhancements, and security-first architecture. Use when creating or refactoring Python libraries.
Detect project stack from package manifests (package.json, pyproject.toml, go.mod, Cargo.toml, pubspec.yaml, CMakeLists.txt). Auto-identify frameworks, test tools, and build systems for onboarding.
Write software libraries following battle-tested patterns from the most successful open-source maintainers. These patterns have been proven across hundreds of libraries with billions of downloads.
License compliance checking and conflict detection
Navigate long-term life direction through reflective dialogue and decision frameworks. This skill helps you explore values, make significant decisions, and maintain intentional direction without endle
Sets up Lighthouse CI to automatically test performance, accessibility, SEO, and best practices in your CI/CD pipeline with budget enforcement and trend tracking.
This skill should be used when fixing bugs, implementing features, debugging issues, or making code changes. Ensures understanding of code flow before implementation by: (1) Tracing execution path with specific file:line references, (2) Creating lightweight text diagrams showing class.method() flows, (3) Verifying understanding with user. Prevents wasted effort from assumptions or guessing. Triggers when users request: bug fixes, feature implementations, refactoring, TDD cycles, debugging, code analysis.