Results for “structure”

Executes a predefined implementation plan step by step, updating progress inline and running build or test commands.

Guides configuring Turborepo for JavaScript/TypeScript monorepos, covering task pipelines, caching, filtering, CI optimization, and package structure.

Searches codebases with structured grep, glob, and tree commands via ripgrep, fd, and tree CLI tools.

Guides users through creating, listing, and viewing GitHub issues using the gh CLI, with structured prompts for titles, descriptions, labels, and filters.

Load a written implementation plan, execute each task with verification checkpoints, and complete development using a structured workflow.

Provides reference documentation and code patterns for using Biopython to handle biological sequences, file formats, database access, alignments, structures, and phylogenetics.

Guides the creation of well-structured Claude Code skills and slash commands, covering skill types, scope, frontmatter settings, and file organization.

Provides a reference for structuring an Expo Router app, including folder layout, configuration files, and essential dependencies.

Converts human-written CLAUDE.md files into a structured-label format that improves AI instruction compliance while reducing token usage.

Structures git workflow practices for committing, branching, resolving conflicts, and organizing work across multiple parallel streams.

Guides the creation of effective agent skills, covering structure, progressive disclosure, and best practices for SKILL.md files and bundled resources.

Creates, reviews, debugs, and modernizes Python project structure with deterministic tooling including pyproject.toml, uv, Ruff, Pyright, and pytest.

Orchestrate multi-agent coding tasks by dispatching parallel agents in isolated worktrees, monitoring progress, and reading structured reports.

Sets up a Spring Boot 3.2 project with clean architecture, Maven configuration, database setup, and exception handling.

Generates a complete Kotlin MCP server project with Gradle structure, dependencies, and implementation using the official kotlin-sdk library.

Analyzes natural language requests to determine project type, select a tech stack, plan structure, and coordinate specialized agents for building full-stack applications.

Guides the creation, editing, and verification of agent skills using a test-driven development approach, with structured documentation and quality gates.

Guides AI agents on working with a deprecated, read-only repository of Claude Skills, covering skill structure, development workflows, and upload automation.

Adds GraalVM native image support to Java applications by analyzing the project structure, configuring the build tool, and iteratively resolving build errors.

Guides completing development work by verifying tests, presenting structured options for merging, creating a pull request, keeping, or discarding a branch, and cleaning up worktrees.

Develop Go command-line tools with Cobra and Viper, covering command structure, flag handling, configuration layering, version embedding, exit codes, I/O patterns, signal handling, shell completion, argument validation, and CLI unit testing.

Enforces the Vikingo Studio standard for WordPress plugins and repos: naming taxonomy, plugin headers, folder structure, versioning, release flow, private update channel, admin UI rules, security baseline, and pre-release checklist.

Navigate, manage, and optimize monorepos with tools like Turborepo, Nx, pnpm workspaces, and Lerna. Enables cross-package impact analysis, selective builds and tests, remote caching, dependency graph visualization, and structured multi-repo to monorepo migrations.

Sets up a codebase for reliable agent-driven development by making it legible (structured docs, custom lints, code graph), executable (one-command dev stack, cloud sandbox), and verifiable (e2e gate, verify-before-ship loop).