claude_commands  by EveryInc

AI prompt templates accelerate systematic software development

Created 3 months ago
256 stars

Top 98.6% on SourcePulse

GitHubView on GitHub
Project Summary

This repository provides a collection of prompt templates designed to enhance the capabilities of Claude Code for common software development tasks. It targets developers seeking structured, systematic approaches to complex coding challenges, bug fixing, documentation generation, issue management, and code review, aiming to improve efficiency and consistency.

How It Works

The project offers pre-defined prompt templates that guide Claude Code through specific development workflows. Each template provides a structured approach, including goal setting, planning, implementation tracking, and iterative improvement cycles. This methodology aims to ensure systematic task execution, detailed analysis, and comprehensive output for tasks ranging from experimental development to codebase documentation and issue resolution.

Quick Start & Requirements

The README does not specify installation instructions or direct execution commands. Usage involves copying template content or using them as slash commands within Claude Code, implying a direct integration with the Claude Code environment. Specific prerequisites beyond access to Claude Code are not detailed.

Highlighted Details

  • Experiment-Driven Development: Facilitates a learn-from-failure approach for complex features, bug fixes, and optimizations through iterative cycles.
  • Generate Codebase Context: Creates comprehensive documentation files (e.g., llms.txt) detailing file purposes, relationships, architecture, and conventions.
  • Analyze GitHub Issue: Provides a structured process for assessing GitHub issues and creating detailed implementation plans before coding.
  • Create GitHub Issue: Generates well-structured GitHub issues with varying detail levels (MINIMAL, MORE, A LOT) for feature requests, bug reports, and proposals.
  • Resolve PR Comments: Offers a systematic workflow for addressing code review feedback, including research, planning, implementation, and verification.

Maintenance & Community

Information regarding maintainers, community channels (like Discord/Slack), or a public roadmap is not provided in the README.

Licensing & Compatibility

The README does not specify a software license, nor does it mention compatibility for commercial use or integration with closed-source projects.

Limitations & Caveats

The effectiveness of these templates is contingent on the user's access to and proficiency with Claude Code. The README lacks explicit setup instructions, detailed dependency information, or performance benchmarks, potentially requiring users to infer usage and integration steps.

Health Check
Last Commit

1 month ago

Responsiveness

Inactive

Pull Requests (30d)
0
Issues (30d)
0
Star History
47 stars in the last 30 days

Explore Similar Projects

Starred by Andrej Karpathy Andrej Karpathy(Founder of Eureka Labs; Formerly at Tesla, OpenAI; Author of CS 231n), Travis Fischer Travis Fischer(Founder of Agentic), and
6 more.

AlphaCodium by Codium-ai

0.1%
4k
Code generation research paper implementation
Created 1 year ago
Updated 11 months ago
Feedback? Help us improve.