There is a gap between using Claude Code and being genuinely good at it — and most of that gap gets closed by the sources the community has already built.
While learning my way in, I collected the GitHub repos and websites that actually help you master Claude Code and work better with AI. The repos hand Claude extra skills, methodology, and tooling; the websites, courses, and communities level you up.
This article comes in two halves: first the GitHub repos worth installing (ranked by stars), then the websites, courses, and communities worth following. For each source, what matters is not just "what it is," but "when to reach for it." Everything here is still active and maintained as of 2026.
The repos worth installing
1. Superpowers — obra/superpowers
~240K stars. Superpowers is a complete software development methodology for coding agents, built on a set of composable skills plus initial instructions that make sure the agent actually uses them. It is available through Anthropic's official Claude plugin marketplace and installs separately per harness — Claude Code, Codex, Cursor, Gemini CLI, and more.
Rather than jumping straight to code, the agent first teases a spec out of the conversation and shows it back to you in chunks short enough to read. After you sign off, it writes an implementation plan that leans on red/green TDD, YAGNI, and DRY, then runs subagent-driven development: launching a subagent per engineering task, reviewing the work, and moving forward — often working autonomously for a couple of hours without drifting from the plan.
Where it plugs in: when you want a disciplined engineering process (spec first, test first) instead of letting Claude code freely.
2. ECC (Everything Claude Code) — affaan-m/ECC
~223K stars (34K+ forks). ECC (Everything Claude Code) bills itself as an operating system for the agent harness: a cross-harness layer of skills, instincts, memory, security, and research-first development that runs across Claude Code, Codex, OpenCode, Cursor, and more. It ships as two npm packages — ecc-universal and ecc-agentshield — plus a GitHub App, and the README is emphatic that you install only from its official channels.
Where it plugs in: when you work across several AI tools and want one shared optimization and security layer instead of configuring each harness separately.
3. Karpathy-Inspired Skills — multica-ai/andrej-karpathy-skills
~184K stars. Karpathy-Inspired Claude Code Guidelines is a single CLAUDE.md file derived from Andrej Karpathy's observations (former Tesla AI director, OpenAI founding member) about LLM coding pitfalls. It distills them into four principles — Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution.
It is the high-leverage, single-file kind of addition: Claude states its assumptions and asks instead of guessing, writes the minimum code that solves the problem, touches only what the task requires, and turns vague instructions into tests-first, verifiable goals. It answers Karpathy's critique directly — that the models "make wrong assumptions on your behalf and just run along with them," overcomplicate code and APIs, and change code they don't sufficiently understand.
Where it plugs in: drop it in the project root and you are done, no configuration needed — which makes it the first repo to install.
4. Anthropic's Official Skills — anthropics/skills
~156K stars. Anthropic's official skills repository collects example skills — folders of instructions, scripts, and resources that Claude loads dynamically — spanning creative applications, development and technical tasks (such as MCP (Model Context Protocol) server generation and web-app testing), and enterprise communication and branding workflows.
The repo is explicitly framed as a reference for patterns, but the bundled document creation and editing skills (docx, pdf, pptx, xlsx) are the real thing: they power Claude's own file capabilities in a production application. Where it plugs in: this is the foundation — install it so Claude has document creation and standard technical tasks ready to go.
/plugin install document-skills@anthropic-agent-skillsMost skills use Apache 2.0; the document skills are source-available under more restrictive licensing.
5. Skills For Real Engineers — mattpocock/skills
~150K stars. Skills For Real Engineers is the set of agent skills Matt Pocock uses every day for real engineering rather than vibe coding — deliberately small, composable, and model-agnostic, so you adapt them to your own workflow instead of handing the whole process to a framework. They target four common agent failure modes: building the wrong thing, being too verbose, producing code that does not work, and turning the project into a ball of mud. The standouts are /grill-me and /grill-with-docs (a relentless interview that aligns you and the agent before a single line is written), /tdd (a red-green-refactor loop), and /improve-codebase-architecture (run every few days to rescue a codebase before it rots).
Where it plugs in: when you want to get aligned with the agent before it writes code and keep the architecture clean as the agent accelerates — start with /grill-with-docs on any change.
npx skills@latest add mattpocock/skills6. Ponytail — DietrichGebert/ponytail
~105K stars. Ponytail drops the laziest senior developer in the room into your agent: you show him fifty lines, he says nothing, replaces them with one, and it works. Before writing code, the agent stops at the first rung that holds — does this need to exist at all (YAGNI), is it already in the codebase, does the standard library do it, is it a native platform feature, is an installed dependency enough, will one line do — and only then writes the minimum that works. Lazy about the solution, never about reading: trust-boundary validation, data-loss handling, security, and accessibility are never on the chopping block.
The repo backs this with a benchmark: a real agent editing a real open-source repo (FastAPI + React) across 12 feature tickets, measured against the same agent with no skill. It leaves ~54% less code (up to 94% where the agent would over-build), and uses 22% fewer tokens, 20% less cost, and 27% less time. Six commands ship with it; the two worth remembering are /ponytail-review (reviews the current diff and hands back a delete-list) and /ponytail-audit (audits the whole repo, not just the diff).
Where it plugs in: when your agent keeps over-building — installing a whole library for something a native HTML element already does. Dial the intensity with /ponytail lite|full|ultra|off. Send the two commands below as two separate prompts — the install only works that way.
/plugin marketplace add DietrichGebert/ponytail
/plugin install ponytail@ponytail7. claude-mem — thedotmack/claude-mem
~89K stars. claude-mem is a plugin that gives Claude Code long-term memory: it records what the agent does during a session, condenses it into semantic summaries, and loads the relevant pieces back when you open a new one. Everything stays local — SQLite with vector search — and the repo ships a mem-search skill for querying project history directly.
Where it plugs in: when you are tired of re-explaining the project every morning; last week's architectural decisions and bug fixes come back on their own instead of dying with the old session. Install with the command below — npm install -g claude-mem only installs the SDK and never registers the hooks.
npx claude-mem install8. RTK (Rust Token Killer) — rtk-ai/rtk
~72K stars. RTK (Rust Token Killer) is a command-line proxy that sits between your agent and the terminal: it compresses and filters command output — test runs, builds, git status — before that text reaches the model's context, cutting 60–90% of the tokens on common dev commands (roughly 92% on cargo test, 81% on git status). It is a single self-contained Rust binary with no runtime dependencies, no API keys, and no telemetry (Apache 2.0), and it works with Cursor, Copilot, Gemini CLI, and Aider as well.
Where it plugs in: when your context window keeps filling up with noisy command output. rtk init -g installs a PreToolUse hook into Claude Code's settings.json, after which every Bash call is rewritten down automatically.
brew install rtk
rtk init -g9. Agent Skills (Addy Osmani) — addyosmani/agent-skills
~68K stars. Addy Osmani's Agent Skills packages the workflows, quality gates, and best practices senior engineers use into skills an AI agent follows consistently across the whole build. It ships 8 slash-commands mapped to the development lifecycle — /spec, /plan, /build, /test, /review, /webperf, /code-simplify, /ship — and the matching skills activate automatically based on what you are doing.
Where it plugs in: when you want a full spec-to-ship engineering discipline baked in. /build auto even generates the plan and implements every task in one approved pass — still test-driven and committed task by task.
/plugin marketplace add addyosmani/agent-skills
/plugin install agent-skills@addy-agent-skills10. last30days-skill — mvanhorn/last30days-skill
~49K stars. last30days-skill is a real-time research skill: instead of leaning on stale training data or aged blog posts, it pulls what the community is actually discussing right now — upvoted Reddit posts and comments, X posts, YouTube transcripts, Hacker News threads, GitHub commits, even Polymarket odds backed by real money — and synthesizes a grounded, cited summary of any topic. The core sources (Reddit, HN, Polymarket, GitHub) work immediately with zero configuration, and it can export a shareable HTML brief. MIT-licensed, with no tracking.
Where it plugs in: when you need to know what the last 30 days of community consensus says about a tool, library, or topic — handy for catching up on an ecosystem that shifts weekly instead of re-reading static docs.
/plugin marketplace add mvanhorn/last30days-skill11. Awesome Claude Code — hesreallyhim/awesome-claude-code
~47K stars. Awesome Claude Code is a curated collection of the best Claude Code resources — skills, agents, hooks, status lines, orchestrators, slash-commands, and developer tooling — with a stated emphasis on code quality, security, and originality.
Where it plugs in: your starting point for discovering new tools. The maintainer is mid-way through rebuilding the table of contents into a new organizational system, so browsing is rougher than it will be — but the underlying catalog stays deep and solid.
12. Obsidian Skills — kepano/obsidian-skills
~43K stars. Obsidian Skills is a set of Agent Skills — published by kepano (Steph Ango, Obsidian's CEO) — that teach an agent to work with Obsidian through its CLI and open formats: Markdown, Bases, and JSON Canvas, plus Defuddle for extracting clean notes from web pages. Because it follows the Agent Skills spec, it works with Claude Code, Codex, OpenCode, and more (MIT licensed).
Where it plugs in: when an Obsidian vault is where you keep your knowledge and you want the agent to read, write, and organize notes directly in it instead of copying text back and forth between two windows.
/plugin marketplace add kepano/obsidian-skills
/plugin install obsidian@obsidian-skills13. Marketing Skills — coreyhaines31/marketingskills
~35K stars. Marketing Skills is a large library of marketing skills — covering CRO (conversion rate optimization), copywriting, SEO, analytics, ads, and growth — for founders and technical marketers who want a coding agent to do marketing work. The skills cross-reference each other and all build on a shared product-marketing skill that every other one reads first to understand your product, audience, and positioning. It works with Claude Code, Codex, Cursor, Windsurf, or any agent that supports the Agent Skills spec.
Where it plugs in: when you want to turn Claude into a one-person growth team, running CRO, copywriting, and SEO work against a single shared positioning document. A real force multiplier for startups without a full marketing team.
14. Agent Skills (Vercel) — vercel-labs/agent-skills
~28K stars. Vercel's Agent Skills is Vercel's official collection of skills (in the Agent Skills format) for AI coding agents that work on web apps. It bundles skills like vercel-optimize (audit a deployment for cost, performance, caching, and function usage), react-best-practices (40+ React/Next.js performance rules from Vercel Engineering), and web-design-guidelines (100+ accessibility, performance, and UX checks for your UI).
Where it plugs in: when you build on Vercel, React, or Next.js and want the vendor's own optimization and UI-review expertise applied to your code on demand.
15. Taskmaster — eyaltoledano/claude-task-master
~28K stars. Taskmaster is a task-management system for AI-driven development, exposed as both an MCP server and a CLI so you can drive it from inside Cursor, Windsurf, VS Code, or Claude Code. It parses a PRD (Product Requirements Document) into tasks, tracks dependencies between them, and can run a separate research model to inform the work.
Where it plugs in: the project-management layer for AI-driven development — spec to task breakdown to execution in dependency order — so agents work through a tracked plan instead of one giant prompt.
npx task-master-ai init16. Awesome Agent Skills — VoltAgent/awesome-agent-skills
~27K stars. Awesome Agent Skills is a curated, hand-picked collection of 1,000+ real Agent Skills — official ones published by teams like Anthropic, Google Labs, Vercel, Stripe, Cloudflare, Netlify, Trail of Bits, Sentry, and Figma, plus vetted community skills — explicitly screened to keep out bulk AI-generated filler. Each entry links to the skill with install paths, and the catalog works across Claude Code, Codex, Gemini CLI, Cursor, Copilot, OpenCode, and Windsurf.
Where it plugs in: when you want production-grade skills from real engineering teams instead of wading through mass-generated ones — browse it to pull in a vendor's official skill for the tool you actually use.
17. Repomix — yamadashy/repomix
~27K stars. Repomix packs your entire repository into a single AI-friendly file in XML, Markdown, or plain text. It counts tokens per file and for the whole repo so you can stay inside a model's context limit, runs Secretlint to keep sensitive data out of the output, and offers a --compress mode that uses Tree-sitter to strip the codebase down to its key structure. The result drops straight into Claude, ChatGPT, DeepSeek, Gemini, Llama, Grok, and more.
Where it plugs in: any time you need to feed a whole project into context but keep hitting the context window limit. Repomix is model-agnostic and especially handy for open-source LLM users.
npx repomix18. context-mode — mksglu/context-mode
~20K stars. context-mode is a plugin and MCP server that intercepts bulky tool output before it floods your context: Playwright snapshots, GitHub issues, and access logs get sandboxed and returned as a summary — the repo cites 315 KB collapsing to 5.4 KB. Session state is written to SQLite, so the agent keeps its thread of work across each compaction.
Where it plugs in: when your sessions fade after half an hour because tool output has eaten the context window. It covers exactly what RTK does not: RTK compresses terminal command output, while context-mode targets tool output of every kind.
/plugin marketplace add mksglu/context-mode
/plugin install context-mode@context-mode19. Claude Video — bradautomates/claude-video
~16K stars. Claude Video adds a /watch command that lets Claude actually watch a video. You paste a URL (YouTube, Loom, TikTok, X, Instagram — anything yt-dlp supports) or a local file along with your question: the skill checks captions first, downloads only what the run needs, extracts scene-aware frames with ffmpeg, builds a timestamped transcript (free captions where they exist, Whisper only as the fallback for videos without them), and hands every frame to Claude to read as an image.
Frames are what burn tokens, so the skill sets a frame budget based on video length, runs a dedup pass that drops near-identical frames (no paying for a dozen shots of the same static slide), and offers four --detail tiers from transcript (no frames at all) to token-burner (keep everything). It needs yt-dlp and ffmpeg; on macOS both install themselves through brew on the first run.
Where it plugs in: when what you need Claude to understand lives in a video rather than in text — watching a screen recording of a bug and pointing at the exact frame where it appears, or stripping a ten-minute launch video down to the few things that are new.
/plugin marketplace add bradautomates/claude-video
/plugin install watch@claude-video20. Awesome Claude Skills — travisvn/awesome-claude-skills
~14K stars. Awesome Claude Skills is a curated list focused specifically on Claude Skills, organized by category: document skills, design and creative, development, data analysis, and enterprise. Alongside the links it explains how skills work — the progressive-disclosure model that loads metadata first, then full instructions, then bundled resources only as needed.
Where it plugs in: it complements the broader directories when you want to dig into skills alone. It includes getting-started guides for the Claude.ai web app, the Claude Code CLI, and API installation.
21. Claude Code Ultimate Guide — FlorianBruniaux/claude-code-ultimate-guide
~5K stars. Claude Code Ultimate Guide is a sprawling open-source documentation project for Claude Code — covering agentic workflows, hooks, skills, and MCP servers, with hundreds of production-ready templates, an interactive knowledge assessment, and a catalog of tracked security advisories (CVEs). It is updated continuously, unlike a static blog post.
Where it plugs in: when you want one deep reference to learn from beginner to power user with copy-paste templates — a community complement to Anthropic's official docs.
Quick reference
| Repo | Category | Stars | Best paired with |
|---|---|---|---|
| obra/superpowers | Methodology framework | ~240K | A disciplined process |
| affaan-m/ECC | Agent-harness tuning | ~223K | Working across tools |
| karpathy-skills | CLAUDE.md principles | ~184K | Coding discipline |
| anthropics/skills | Official skills | ~156K | Baseline capability |
| mattpocock/skills | Real-engineering skills | ~150K | Aligning before you code |
| DietrichGebert/ponytail | Over-engineering brake | ~105K | Agents that over-build |
| thedotmack/claude-mem | Cross-session memory | ~89K | Keeping context between sessions |
| rtk-ai/rtk | Token reduction (Rust) | ~72K | Trimming command output |
| addyosmani/agent-skills | Engineering lifecycle skills | ~68K | Spec-to-ship discipline |
| mvanhorn/last30days-skill | Real-time research skill | ~49K | Catching up on 30 days |
| awesome-claude-code | Resource directory | ~47K | Discovering tools |
| kepano/obsidian-skills | Obsidian skills | ~43K | Working in your vault |
| marketingskills | Marketing skills | ~35K | Growth engineering |
| vercel-labs/agent-skills | Vercel official skills | ~28K | Vercel/React/Next.js |
| claude-task-master | Task management (MCP) | ~28K | Project orchestration |
| VoltAgent/awesome-agent-skills | Curated skills index | ~27K | Vetted official skills |
| yamadashy/repomix | Context packing | ~27K | Beating context limits |
| mksglu/context-mode | Tool-output sandboxing | ~20K | Sessions that last |
| bradautomates/claude-video | Video comprehension (/watch) | ~16K | Screen recordings, long videos |
| awesome-claude-skills | Skills directory | ~14K | Going deep on skills |
| claude-code-ultimate-guide | Comprehensive docs | ~5K | Deep learning + templates |
Beyond repos: sites, courses & community
Repos hand Claude Code more capability, but actually using them well takes places to learn and look things up. The four sources below do not install into Claude — they level you up.
Anthropic Academy — the official courses
Anthropic Academy is Anthropic's official training platform (running on Skilljar), with self-paced courses that grant certificates. The standout for developers is "Claude Code in action" — it teaches the exact Explore → Plan → Code → Commit workflow Anthropic's own team uses internally. It also spans AI Fluency, API development, and the Model Context Protocol.
When to use it: when you want to learn properly from the people who built the tool — the best starting point for understanding how Claude Code "thinks" instead of guessing.
Claude 101 — a path from zero
Claude 101 is a collection of free guides organized into four levels, from "never opened Claude" to multi-agent workflows. Each guide lists its reading time (4–20 minutes) and difficulty so you can go in order: onboarding, teamwork, advanced technique (avoiding an AI voice, dodging usage limits), then Claude Code and Claude on the desktop.
When to use it: when you want a structured learning path for beginners — a practical complement to the official course.
Claude Marketplaces — a live plugin/skill/MCP directory
Claude Marketplaces (now served at crossaitools.com) is a live directory of Claude Code plugins, skills, and MCP servers, categorized by job (frontend, backend, testing, security, DevOps) with install commands included. Per the site's own figures: 21,600+ skills, 12,500+ MCP servers, and 2,500+ marketplaces.
When to use it: when you need a specific skill or MCP right now — the ecosystem moves so fast that a searchable live directory beats digging back through articles.
r/ClaudeCode — the community on Reddit
r/ClaudeCode is a large, active Claude Code community on Reddit, where developers share workflows, configs, benchmarks, and war stories. It is less a support forum than a workshop for what actually works.
When to use it: when you want to see how other people are configuring things and what genuinely works before you try it yourself.
Where to start
The Claude Code ecosystem is moving extraordinarily fast — by SemiAnalysis's count, roughly 4% of all public GitHub commits now carry Claude Code's hand, a figure that would have seemed absurd a year ago. The repos in this guide are the ones that earned their place through actual use, not star counts.
Start small. Pick one or two — if you're not sure where to begin, make it Karpathy Skills. See what changes.