This is an actual goldmine for every AI builder
400+ ready-made agents and skills for almost any job. From Anthropic, its engineers and the community.
github.com/msitarzewski/a… (158k stars)
~170 agents organized like a company: engineering, design, marketing, sales, product, testing, security, support. Extra packs for finance, healthcare and game dev. Works with 15+ tools.
github.com/wshobson/agents (40k stars)
202 agents, 184 skills and 105 commands packed into 94 Claude Code plugins. Language experts, code review, debugging, infra, security, testing. Install only the plugins you need.
github.com/anthropics/kno… (26k stars)
Anthropic’s own plugins built around jobs: sales, customer support, product management, marketing, legal, finance, data.
github.com/anthropics/cla… (18k stars)
Official agents you can deploy: a daily brief from Slack and GitHub, scheduled Sentry triage, Slack and Linear bots, a customer support agent, a financial data analyst.
github.com/addyosmani/age… (103k stars)
From Anthropic engineer. 25 skills covering the whole dev cycle: interview-me, spec writing, TDD, browser testing, security review, CI/CD.
I’d start with claude-quickstarts. Every agent there is a full working example you can run and take apart.
Claude Code ships with 5 architectural layers most engineers never open.
Not features. Not settings. Layers — each solving a distinct problem that LLMs alone can't solve. And four of them have nothing to do with prompting.
Here's the full Agent Development Kit:
Layer 1 — CLAUDE.md → The Memory Layer
Architecture rules, naming conventions, test expectations, repo map. Always loaded. Always active.
Two scopes:
• ~/.claude/CLAUDE.md → global
• .claude/CLAUDE.md → project
This isn't context you paste in before every session. It's context that never needs repeating. The agent's constitution.
Layer 2 — Skills → The Knowledge Layer
Each SKILL.md carries a description. Claude matches it at runtime and forks the skill into an isolated subagent. On-demand, never always-on.
Task-specific knowledge without inflating your main context window. Modular by design.
Layer 3 — Hooks → The Guardrail Layer
PreToolUse → PostToolUse → SessionStart → Stop → SubagentStop
This is the layer most teams skip. And the one they regret skipping first.
Hooks are NOT AI. They're deterministic event-driven shell commands.
• Auto-lint on every Write
• Hard-block on rm -rf
• Slack notification on Stop
Event fires → Matcher checks → Command runs
Quality enforced at the infrastructure level. Not the prompt level.
Layer 4 — Subagents → The Delegation Layer
Each subagent gets its own context window, model, tools, and permissions.
Main agent delegates down. Receives results up. That's it.
No infinite recursion — subagents can't spawn subagents. Main context stays clean. Hard boundaries by design.
Layer 5 — Plugins → The Distribution Layer
Bundle your skills + agents + hooks + commands into a plugin. One install. Whole team inherits the behavior.
Think npm packages — but for what your agent knows how to do.
Wrapping everything:
→ MCP Servers on the left (GitHub, databases, APIs, custom integrations)
→ Agent Teams on the right (parallel execution, message passing, shared permissions)
The 5-layer stack in one line:
CLAUDE.md sets rules → Skills provide expertise → Hooks enforce quality → Subagents delegate work → Plugins distribute to the team
Most production failures in agentic systems trace back to one missing layer.
Which one is the gap in your current setup?
This CLAUDE.md turns Claude Code into a senior engineer who never forgets your standards.
Boris Cherny (creator of Claude Code at Anthropic) shared the internal workflows his team actually uses daily.
Someone turned those X threads into a structured file you can drop into any project.
What’s inside:
> Subagent orchestration
> Verification gates before marking tasks done
> Autonomous bug fixing loops
> Self-improving rules from your own corrections
That last one is the whole game.
Every time you correct Claude, the rule gets encoded permanently.
> Next session it doesn’t repeat the mistake.
> Next month it matches how you think.
> Next year you’re not managing Claude. It’s working like someone who’s been on your team for years.
Drop it in any project. Start today.
Claude Trading Folder
I’ve compressed the best trading prompts into one PDF
Get it for FREE:
• Like + Repost + Comment “TRADING”
• Follow me so I can DM you
Alternatives to Anthropic and OpenAI you can self-host so your data stays yours:
- Kimi K2.6
- GLM 5.1
- MiniMax M2.7
- Qwen 3.5 / 3.6
Plug them into your favorite agent (Claude Code, OpenCode, Codex, etc)
Stop donating your business data 🫡
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A single ethereum transaction uses the same amount of energy as running a central a/c unit for over 54 hours.
A single bitcoin transaction? 555 hours. Or over a month for your avg household.
The alteration of time perception when we are having fun or experiencing trauma has the same underlying mechanism: dopamine & epinephrine. hubermanlab.com/time-perceptio…
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