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Knowledge injected into existing context — configurable, preloadable, auto-discoverable, with context forking and progressive disclosure · Official Skills
challenge Claude — "grill me on these changes and don't make a PR until I pass your test." or "prove to me this works" and have Claude diff between main and your branch
after a mediocre fix — "knowing everything you know now, scrap this and implement the elegant solution"
Claude fixes most bugs by itself — paste the bug, say "fix", don't micromanage how 👶
say "use subagents" to throw more compute at a problem — offload tasks to keep your main context clean and focused 👶
use /model to select model and reasoning, /context to see context usage, /usage to check plan limits, /extra-usage to configure overflow billing, /config to configure settings
always use thinking mode true (to see reasoning) and Output Style Explanatory (to see detailed output with ★ Insight boxes) in /config for better understanding of Claude's decisions
What exactly should you put inside your CLAUDE.md — and what should you leave out?
If you already have a CLAUDE.md, is a separate constitution.md or rules.md actually needed?
How often should you update your CLAUDE.md, and how do you know when it's become stale?
Why does Claude still ignore CLAUDE.md instructions — even when they say MUST in all caps? (reddit)
Agents, Skills & Workflows (6)
When should you use a command vs an agent vs a skill — and when is vanilla Claude Code just better?
How often should you update your agents, commands, and workflows as models improve?
Does giving your subagent a detailed persona improve quality? What does a "perfect persona/prompt" for research/QA subagent look like?
Should you rely on Claude Code's built-in plan mode — or build your own planning command/agent that enforces your team's workflow?
If you have a personal skill (e.g., /implement with your coding style), how do you incorporate community skills (e.g., /simplify) without conflicts — and who wins when they disagree?
Are we there yet? Can we convert an existing codebase into specs, delete the code, and have AI regenerate the exact same code from those specs alone?
Specs & Documentation (3)
Should every feature in your repo have a spec as a markdown file?
How often do you need to update specs so they don't become obsolete when a new feature is implemented?
When implementing a new feature, how do you handle the ripple effect on specs for other features?
REPORTS
✨Trending on Github in March 2026✨
1. Read the repo like a course, learn what commands, agents, skills, and hooks are before trying to use them.
2. Clone this repo and play with the examples, try /weather-orchestrator, listen to the hook sounds, run agent teams, so you can see how things actually work.
3. Go to your own project and ask Claude to suggest what best practices from this repo you should add, give it this repo as a reference so it knows what's possible.
Developed by
Workflow
Description
/workflows:best-practice:workflow-concepts
Update the README CONCEPTS section with the latest Claude Code features and concepts
/workflows:best-practice:workflow-claude-settings
Track Claude Code settings report changes and find what needs updating