By remihuguet
Coding conventions for self-documenting code: naming, comments, docstrings
npx claudepluginhub remihuguet/rems-buddy --plugin coding-standardsRem's buddy — reusable Claude Code skills packaged as a plugin marketplace. Install once, use across all projects.
Add to your Claude Code plugins:
/plugins add /Users/remihuguet/workspaces/rems-buddy
Or add to .claude/settings.json:
{
"plugins": ["/Users/remihuguet/workspaces/rems-buddy"]
}
Strict red-green workflow: write a failing test reproducing the bug, implement minimal fix, run full suite, commit.
/bugfix users can log in with expired tokens
Commands: /commit, /commit-push
Always-on skill: conventional commit message formatting rules.
Always-on guidance for domain naming, intent-revealing identifiers, comment strategies, and minimal docstrings.
Three skills providing always-on guidance:
Six skills for Python backend architecture:
Always-on prompt interpretation: resolve ambiguity from context, decompose vague requests, minimize unnecessary questions.
plugin-name/
├── .claude-plugin/
│ └── plugin.json # Plugin manifest (name, description, version, author)
├── commands/ # On-demand slash commands
│ └── my-command.md
├── skills/ # Always-on behavioral guidance
│ └── my-skill/
│ └── SKILL.md
└── README.md
.claude-plugin/plugin.json with name, description, version, and authorskills/<skill-name>/SKILL.mdcommands/<command-name>.md with YAML frontmatter.claude-plugin/marketplace.jsonmarketplace.json are relative to the plugin source (e.g., ./skills/my-skill)Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Behavioral guidelines to reduce common LLM coding mistakes, derived from Andrej Karpathy's observations on LLM coding pitfalls
Design fluency for frontend development. 1 skill with 23 commands (/impeccable polish, /impeccable audit, /impeccable critique, etc.) and curated anti-pattern detection.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Reliable automation, in-depth debugging, and performance analysis in Chrome using Chrome DevTools and Puppeteer