maker
Generate .NET Core data API code from model definitions using the Maker XML specification and CLI. Use when users need to: (1) Create Maker XML models from JSON objects, SQL scripts, or database schemas, (2) Generate .NET Core CRUD API endpoints from Maker XML, (3) Understand or validate Maker XML model definitions, or (4) Work with the Maker CLI tool for code generation.
roslyn-source-generators
Create and maintain Roslyn source generators for compile-time code generation. Use when building incremental generators, designing pipelines with ForAttributeWithMetadataName, creating marker attributes, implementing equatable models, testing generators, or debugging generator performance issues.
codex
Execute Codex CLI for code generation, analysis, web search and web fetch. Two capabilities - (1) Code Generation with deep reasoning, (2) Web Search & Fetch for online research.
gemini-cli
Wield Google's Gemini CLI as a powerful auxiliary tool for code generation, review, analysis, and web research. Use when tasks benefit from a second AI perspective, current web information via Google Search, codebase architecture analysis, or parallel code generation. Also use when user explicitly requests Gemini operations.
run-nx-generator
Run Nx generators with prioritization for workspace-plugin generators. Use this when generating code, scaffolding new features, or automating repetitive tasks in the monorepo.
codex
Delegate coding tasks to Codex CLI (OpenAI gpt-5-codex via JetBrains AI). Use when a task involves repetitive code generation, refactoring, or analysis that can be offloaded.
gemini-cli
Google Gemini CLI orchestration for AI-assisted development. Capabilities: second opinion/cross-validation, real-time web search (Google Search), codebase architecture analysis, parallel code generation, code review from different perspective. Actions: query, search, analyze, generate, review with Gemini. Keywords: Gemini CLI, second opinion, cross-validation, Google Search, web research, current information, parallel AI, code review, architecture analysis, gemini prompt, AI comparison, real-time search, alternative perspective, code generation. Use when: needing second AI opinion, searching current web information, analyzing codebase architecture, generating code in parallel, getting alternative code review, researching current events/docs.
AILANG
Write AILANG code. ALWAYS run 'ailang prompt' first - it contains the current syntax rules and templates.
graphql-codegen
Generate TypeScript types and React hooks from GraphQL schemas
templates
>
codex
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing
skill-generator
Generates new Claude Code Skills with intelligent defaults. Activates when user discusses creating a new skill, capability, or reusable workflow. Infers purpose from context, creates proper YAML frontmatter, suggests tool restrictions, and sets up supporting file structure. Use when user mentions "create a skill", "new skill", "skill for", or discusses adding reusable capabilities.
ai-code-generator
AI-powered code generation for boilerplate, tests, data, and scaffolding
model-first-reasoning
Apply Model-First Reasoning (MFR) to code generation tasks. Use when the user requests "model-first", "MFR", "formal modeling before coding", "model then implement", or when tasks involve complex logic, state machines, constraint systems, or any implementation requiring formal correctness guarantees. Enforces strict separation between modeling and implementation phases.
codex
Execute Codex CLI for code generation, analysis, web search and web fetch. Two capabilities - (1) Code Generation with deep reasoning, (2) Web Search & Fetch for online research.
prd-v07-implementation-loop
Execute implementation within EPICs following test-first development, continuous SoT updates, and code traceability during PRD v0.7 Build Execution. Triggers on requests to start building, implement an epic, begin coding, or when user asks "start building", "implement epic", "coding", "development", "build execution", "implementation", "write code". Consumes EPIC- (context), TEST- (acceptance criteria). Updates existing IDs and creates code. Outputs working code with @implements traceability tags.
model-first-reasoning
Apply Model-First Reasoning (MFR) to code generation tasks. Use when the user requests "model-first", "MFR", "formal modeling before coding", "model then implement", or when tasks involve complex logic, state machines, constraint systems, or any implementation requiring formal correctness guarantees. Enforces strict separation between modeling and implementation phases.
deepseek
DeepSeek AI large language model API via curl. Use this skill for chat completions, reasoning, and code generation with OpenAI-compatible endpoints.
Page 1 of 2 · 31 results