Create the deliverable (code, documentation, tests, content) following the user's standards and best practices. Use after validation passes to actually build the work product.

Create comprehensive, research-backed philosophy and standards documents for any domain.

Generate high-quality bilingual programming quiz questions for Codle. Use this skill when creating new quiz questions that test deep understanding rather than rote memorization.

Generate a print-optimized, ATS-friendly single-page resume PDF from portfolio content. Use when user wants to create or regenerate their resume. (project)

generate-schema

Generate comprehensive test cases from specification documents using AI in the QuickRail project. Use when users want to create test cases from requirements, spec documents, or feature descriptions. Supports both Web UI and API-based generation with customizable prompts and context engineering.

Generate SQL validation notebooks for dbt changes. Pass a GitHub PR URL or local dbt repo path.

Generate job-targeted CV variants with built-in quality gates. Queries knowledge base, customizes content, runs eval/redteam pipeline.

Python moviepy를 활용한 숏폼 영상 자동 생성. 스크립트를 기반으로 자막, 이미지, BGM이 포함된 영상을 생성합니다.

generating-ceo-briefing

Automatically analyze git commit history and generate comprehensive changelogs following industry-standard formats.

Generate comprehensive technical documentation including API docs (OpenAPI/Swagger), code documentation (TypeDoc/Sphinx), documentation sites (Docusaurus/MkDocs), Architecture Decision Records (ADRs), and diagrams (Mermaid/PlantUML). Use when documenting APIs, libraries, systems architecture, or building developer-facing documentation sites.

PRIMARY expert for ALL NestJS and @lenne.tech/nest-server tasks. ALWAYS use this skill when working in projects with @lenne.tech/nest-server in package.json dependencies (supports monorepos with projects/*, packages/*, apps/* structure), or when asked about NestJS modules, services, controllers, resolvers, models, objects, tests, server creation, debugging, or any NestJS/nest-server development task. Handles lt server commands, security analysis, test creation, and all backend development. ALWAYS reads CrudService base class before working with Services.

Generates git patch files from codebase modifications for local application. Use when user mentions patch, diff, export changes, bring changes back, apply locally, or after editing uploaded codebases.

Generates or updates RBS-inline type annotations directly in Ruby source files as comments. Triggers when creating, updating, or maintaining inline type signatures for Ruby source files.

Generates or updates RBS type signatures in separate .rbs files. Triggers when creating, updating, or maintaining type signatures for Ruby source files.

Generates or updates Sorbet inline type signatures directly in Ruby source files using sig blocks. Triggers when creating, updating, or maintaining inline type signatures for Ruby source files.

Generates new agent profiles with consistent structure, automatic validation pattern injection, and test-driven protocols

Guide feature development for full-stack applications with architecture focus. Covers Next.js App Router patterns, NestJS backend services, database models, data workflows, and seamless integration. Use when adding new features, refactoring existing code, or planning major changes.

Guide feature development for React applications with architecture focus. Covers Zustand/Redux patterns, IndexedDB usage, component systems, lazy loading strategies, and seamless integration. Use when adding new features, refactoring existing code, or planning major changes.

Meta-skill for creating genre-analysis-based writing skills. Analyzes a corpus of article sections, discovers clusters, and generates complete skills with phases, cluster guides, and techniques.

Guide AI-assisted learning that empowers learners while maintaining appropriate boundaries. Use when teaching, explaining concepts, or helping someone who is struggling to understand.

Audit and optimize website for AI search engines like ChatGPT, Perplexity, Google AI Overviews, and Claude. Use when discussing GEO (Generative Engine Optimization), SEO for AI, llms.txt, AI crawlers, structured data for LLMs, or visibility in AI search results.

Optimizes content for Generative Engine Optimization (GEO) to increase chances of being cited by AI systems like ChatGPT, Claude, Perplexity, and Google AI Overviews. Makes content AI-friendly while maintaining SEO value.

Customize plot aesthetics using natural language. Use when the user wants to change colors, fonts, titles, labels, themes, or any visual aspect of a plot before publication.

Create and format Gherkin feature files using BDD syntax. Use when creating feature files, scenarios, or writing behavioral specifications.

Reverse engineer binaries using Ghidra's headless analyzer. Decompile executables, extract functions, strings, symbols, and analyze call graphs without GUI.

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Produce first drafts that match a writer's authentic voice using their Voice DNA Document. Consumes DNA documents from writing-dna-discovery skill. Generates 2 meaningfully different drafts with headlines, confidence assessment, decision notes, and DNA refinement suggestions. Collaborative partner that evaluates, pushes back, and advocates for quality. Handles blog posts, essays, newsletters, and more.

Manage GitHub gists - create, edit, list, and share code snippets using gh CLI

Carefully apply changes from a specific git commit to the current branch.

Skill for analyzing git changes, grouping them into logical atomic commits, generating conventional commit messages, and guiding through the commit process. Use when committing changes with proper conventional commit format and maintaining atomic commits.

Intelligently detects when too many files are staged and automatically groups them by feature or functionality using Conventional Commits with user language preference

Generate comprehensive, detailed git commit messages following best practices with problem explanations for fixes and complete change lists for features. Use when committing changes, writing commit messages, or when user mentions git commit, staging changes, or version control.

Use when debugging regressions or identifying which commit introduced a bug - provides systematic workflow for git bisect with automated test scripts, manual verification, or hybrid approaches. Can be invoked from systematic-debugging as a debugging technique, or used standalone when you know the issue is historical.

Automated git bisect for bug hunting with test script execution

git

This skill should be used when starting new feature work, mid-feature when wanting to add unrelated changes, when a branch has grown beyond 20 commits, or when unsure whether to create a new branch. Covers one-feature-one-branch rule, branch size targets, and when to split branches.

Automate Git workflow with conventional commits, setup GitHub Actions CI/CD, configure Husky hooks, manage PR automation, and handle semantic releases

Assists with careful Git commits in any repository. Activates when committing changes, checking .gitignore, or generating commit messages. Ensures proper file exclusion (credentials, MCP configs, personal settings), identifies untracked files, and generates Conventional Commits messages with Japanese explanations.

Create well-formatted semantic commit messages following project conventions. Use when committing changes to ensure consistent, descriptive commit history.

Generate conventional commit messages with strict formatting rules

Apply HyperShift conventional commit formatting rules. Use when generating commit messages or creating commits.

Create well-formatted git commit messages following conventional commits standard. This skill should be used after completing coding tasks to create clear, descriptive commit messages that accurately reflect changes.

Use when writing commit messages that clearly communicate changes and tell the story of development. Helps create informative, well-structured commit messages that serve as documentation.

Best practices for creating high-quality Git commits. Covers commit message conventions (Conventional Commits), atomic commits, staging strategies, and when to amend vs create new commits. Helps AI agents generate clean, meaningful commit history.

Skill for analyzing git changes, grouping them into logical atomic commits, generating conventional commit messages, and guiding through the commit process. Use when committing changes with proper conventional commit format and maintaining atomic commits.

Apply when writing commit messages to maintain consistent, readable git history that enables automated changelog generation.