All Skills

Generate AI images using Midjourney through the Legnext API. Use this skill when users request Midjourney-style image generation, visual content creation, or ask to create/generate images with natural language descriptions. Handles prompt engineering, API calls, task polling, and result retrieval.

Integrates AI language model capabilities into applications — OpenAI (GPT-4o), Anthropic (Claude), and Google Gemini APIs, including streaming responses, function calling/tool use, retrieval-augmented generation (RAG) with vector search, and prompt management. Use when adding any AI features: chatbots, document Q&A, content generation, classification, summarization, or agents. Trigger when user mentions "OpenAI", "Claude", "Anthropic", "GPT", "AI chat", "chatbot", "RAG", "embeddings", "vector search", "LLM", "AI-powered", or "generate content".

Bootstrap Python MCP server projects and workspaces on macOS using uv and FastMCP with consistent defaults. Use when creating a new MCP server from scratch, scaffolding a single uv MCP project, scaffolding a uv workspace with package/service members, customizing scaffold defaults through layered YAML profiles, initializing pytest+ruff+mypy defaults, creating README.md, initializing git, running initial validation checks, or starting from OpenAPI/FastAPI with MCP mapping guidance.

This skill should be used when the user asks to "get Census data", "query American Community Survey", "find ACS data", "get population by state", "query Decennial Census", "find Census variables", "get median income data", "download demographic data", "Census API query", "get housing data from Census", or mentions US Census Bureau data (demographics, income, poverty, education, housing, population estimates, etc.).

# ralph-stop Stop Ralph's autonomous iteration loop gracefully. ## What This Skill Does This skill stops the autonomous loop started by `/ralph:start`. It sets a stop signal, allows the current iteration to finish, and updates the status. ## Prerequisites - Ralph must be initialized (`/ralph:in

Set quality expectations for implementation — "imagine this serves 1 million users." Checks for observability, error handling, input validation, graceful degradation.

Performs structured code, security, and architecture audits. Produces severity-categorized findings with file/line evidence and actionable remediation steps. Use when reviewing a PR, conducting a security review, evaluating technical debt, or assessing code quality before a release. Never merge critical audit findings without a documented resolution.

Save your current session state for later resumption.

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Automatically extract technical requirements from design references when user mentions Figma, uploads images, or says "implement this design". Analyzes colors, typography, spacing, layout, and maps to WordPress blocks or Drupal paragraph fields. Provides detailed specifications for developers including exact values, responsive behavior, and accessibility requirements.

Catch up on codebase changes by reviewing the diff from master and reading relevant spec files.

'Standardizes release approvals with GitHub-aware checklists. Use when

Designs and implements the core domain rules, service-layer workflows, state machines, and validation logic that define what an application actually does. Use when implementing rules that go beyond simple CRUD, modeling complex workflows (order processing, subscription billing, approval chains), or translating product requirements into enforceable system behavior. Trigger when a feature involves conditional rules, multi-step processes, state transitions, or calculations that have business meaning.

Integrates third-party authentication — OAuth social login (Google, GitHub) and managed auth providers (Clerk, Auth0, Supabase Auth). Use when a user wants to add "Sign in with Google/GitHub", set up single sign-on, or delegate authentication to a managed service instead of rolling their own JWT system. Trigger when user mentions "OAuth", "social login", "Google login", "GitHub login", "Clerk", "Auth0", "Supabase Auth", "SSO", or "I don't want to build my own auth". Routes to the `security` skill if the user wants custom JWT auth from scratch.

Implements server-side application logic, data access layers, and background services using Python 3.12 and FastAPI. Use for building service classes, repositories, background tasks, middleware, or any Python code that runs on the server. Always ask about the existing stack before applying defaults.

# PRD Workflow (Tri-Modal) **Goal:** Create, Validate, or Edit comprehensive PRDs through structured workflows. **Agent:** PM (John) **Phase:** 2 - Planning **Modes:** - **Create (-c):** Build new PRD from scratch through collaborative discovery - **Validate (-v):** Quality check existing PRD a

This skill should be used when the user asks to "prove a theorem", "formalize to Lean", "use Aristotle", "fill sorries", "verify proofs", "verify algorithm", "verify code correctness", "check implementation", "find bugs in code", "work with Lean 4", "VERINA", or needs guidance on theorem proving, code verification, algorithm correctness, Lean formalization, or Aristotle AI integration.

Designs and implements CI/CD pipelines, Docker containerization, multi-environment deployment, and release strategies. Use when setting up automated builds, deploying an application for the first time, adding tests to a pipeline, or managing release processes. Always confirm the existing hosting provider and repository before applying templates.

Create a well-structured pull request with proper description, labels, and reviewers; keywords: pull-request, pr, unit-test, test. Use only on explicit request; skip in routine implementation discussions.

Flag possible documentation duplication, misplacement, or verbosity. Use when drafting or reviewing docs, backlog items, ADRs, or explanatory text to steer toward a single source of truth. Trigger phrases: "check documentation", "review docs", "check docs", "review documentation", "check for doc duplication", "review for duplication", "check doc quality", "review doc quality", "documentation review", "docs review", "check doc structure".

Detect risk or uncertainty and pause execution. Use before or after plans, commands, diffs, or implementation to surface unclear requirements or risky actions. Trigger phrases: "check for risks", "is this safe", "review for safety", "check safety", "risk check", "safety review", "is this risky", "check risks", "review risks", "safety check", "verify safety", "check if safe", "assess risk", "risk assessment", "safety assessment".

This skill should be used when the user asks to "show running processes", "find what's using CPU", "check memory usage", "kill a process", "show process tree", "find developer processes", "watch a process", "what's draining battery", "search for a process", "alert on high CPU", "alert on high memory", "show CPU sparklines", "crash reports", "app crashes", "app hangs", "kernel panics", "diagnostic reports", or mentions pstop, process management, top, htop, activity monitor, resource hogs, threshold alerting, or crash diagnostics.

Fetch up-to-date library and framework documentation into AI context. Use when looking up docs, finding feature-specific references, or discovering documentation sources for any library, framework, or tool.

'Use this skill for test suite evaluation and quality assessment. Use