The OpenClaw Stack: Which Skills to Buy First

Most people set up OpenClaw and immediately hit a wall.

They install the platform, connect their model, maybe write a custom prompt — and then realize the agent doesn't actually do anything. It can chat, sure. But it can't remember yesterday's conversation, can't post to Twitter, can't triage email, can't fix a bug in production. It's a brain in a jar.

Skills are what give your agent hands. And after months of building and shipping with OpenClaw agents in production — running a real company, handling real customers, deploying real code — I've learned which skills actually matter and in what order.

This isn't a theoretical ranking. This is the stack I use every day, built from the skills I've shipped and battle-tested at The Masinov Company. Here's what to buy first, what to buy next, and what ties it all together.

The Foundation: Memory

If your agent can't remember, nothing else matters. Every other skill builds on top of this.

Three-Tier Memory System — $9

Most memory solutions are a flat MEMORY.md file that turns into a junk drawer within a week. You need something with actual architecture.

The Three-Tier Memory System gives your agent structured long-term memory across three layers:

Knowledge Graph — Entity-based storage using the PARA method (Projects, Areas, Resources, Archives). People, companies, and projects get their own files with atomic facts stored in JSON. Not a wall of text — structured data your agent can actually query.
Daily Notes — A chronological timeline of events. The raw "when" layer that feeds fact extraction into the knowledge graph during heartbeats.
Tacit Knowledge — How your user operates. Patterns, preferences, communication style, lessons learned. Not facts about the world — facts about the person.

The killer feature is memory decay with recency weighting. Facts that haven't been accessed in 30+ days fade from active retrieval but never get deleted. Frequently accessed facts resist decay. Your agent's working memory stays sharp without manual curation.

This is the first skill you should install. Everything else — email, coding, social media — works better when the agent remembers context from yesterday, last week, last month.

Security & Communication: Email Fortress

Once your agent has memory, the next thing most people want is email access. But email is the single most dangerous channel you can give an AI agent.

Email Fortress — $9

Anyone can send your agent an email. Anyone can spoof a From header. If your agent blindly trusts email as a command channel, you've given the entire internet a backdoor into your system.

Email Fortress establishes hard security boundaries: only verified channels (Telegram, Discord, Signal) are trusted for instructions. Email becomes read-only intelligence — your agent can read, triage, and respond to emails, but it will never execute commands from an inbound message.

The skill includes:

Tiered escalation (auto-respond to routine queries, flag sensitive ones for human review)
Email blocklist management
Sender verification patterns
Safe outbound email templates

If you're giving your agent email access — and you probably should — install this first. Not after the first incident. Before.

Presence: X/Twitter Agent

For agents that need a public presence — whether it's a brand account, a personal AI, or a company bot — social media is the most visible skill you can add.

X/Twitter Agent — $9

X/Twitter Agent is a complete framework for giving your OpenClaw instance its own X/Twitter account. It covers the full loop:

Original posting with voice guidelines and content rules
Mention monitoring so your agent can respond to replies and DMs
Engagement workflows — likes, retweets, quote tweets with context
Safety rails — blocklists, topic restrictions, approval flows for sensitive content
Scheduling via OpenClaw cron jobs

The key insight behind this skill is that an AI social media presence needs guardrails, not just posting capability. Anyone can wire up "post a tweet." The hard part is making sure it doesn't post something embarrassing at 3 AM, doesn't reply to trolls, and stays on-brand consistently. That's what this skill handles.

Development: Coding Agent Loops

If your agent touches code — and increasingly, that's most agents — you need a way to run coding sessions that don't die when the process crashes.

Coding Agent Loops — Free

Coding Agent Loops teaches your OpenClaw instance how to run AI coding agents (Codex, Claude Code) in persistent tmux sessions with automatic retry loops and instant completion notifications.

The problem it solves: background coding processes die on gateway restart. A Codex run that takes 20 minutes will silently fail if anything interrupts it. This skill wraps coding agents in "Ralph loops" — persistent tmux sessions that automatically restart on failure, track progress against a checklist (PRD), and fire a notification when work is complete.

Key features:

Persistent tmux sessions that survive restarts
Automatic retry with fresh context (prevents stalling and context bloat)
PRD-based task tracking — the agent checks off items as it completes them
Completion hooks that notify you immediately when work finishes
Parallel agent support for multiple concurrent tasks

This one's free because every OpenClaw user who writes code needs it. Consider it infrastructure.

Production: Sentry Auto-Fix

Once you have agents shipping code, the natural next step is having them fix their own bugs.

Sentry Auto-Fix — $9

Sentry Auto-Fix is a webhook-driven pipeline that receives Sentry error alerts and automatically fixes them using AI coding agents. No human intervention required for routine bugs.

The flow: Sentry fires a webhook → your OpenClaw instance receives it → analyzes the error with full stack trace context → spins up a coding agent to implement the fix → opens a PR → merges it (if configured for auto-merge).

This is the skill that turns your agent from a developer tool into a DevOps teammate. Errors that used to sit in a Sentry dashboard for days get fixed in minutes. It won't handle every edge case — complex architectural bugs still need a human — but for the routine stuff (null checks, missing error handling, type mismatches), it's remarkably effective.

The Full Package: Felix & Teagan Personas

If you don't want to assemble skills one by one, the personas bundle everything together with a proven identity and operating system.

Felix — $99

Felix is the persona running The Masinov Company. He's a full-stack autonomous agent: product development, code deployment, long-running dev sessions, sales monitoring, customer support, email triage, social media, and daily business operations. The persona includes the memory system, coding loops, email handling, and operational patterns built from months of real production use.

If you want an AI that thinks like a CEO — with revenue targets, ownership mentality, and the ability to execute across every surface area of a business — Felix is the blueprint.

Teagan — $49

Teagan is a content marketing persona that runs a full blog production pipeline. She coordinates three specialized AI agents: Grok for real-time web research and SEO optimization, and Claude Opus for high-quality long-form drafting. If you need a content engine that produces publish-ready articles with minimal oversight, Teagan is the template.

The Recommended Build Order

Day 1: Memory

Install: Three-Tier Memory System
Goal: Your agent remembers conversations, extracts facts, and builds a knowledge graph from day one.

Week 1: Security + Communication

Install: Email Fortress
Goal: Safe email access with proper trust boundaries.

Week 2: Presence

Install: X/Twitter Agent
Goal: Your agent has a public voice with proper guardrails.

Week 3: Development

Install: Coding Agent Loops (free) + Sentry Auto-Fix
Goal: Your agent can ship code and fix its own bugs.

When ready: Full Persona

Install: Felix or Teagan
Goal: Skip the assembly phase entirely. Get a battle-tested operating system for your agent.

The Honest Truth

You don't need dozens of skills. You need five or six good ones installed in the right order, configured properly, and actually used in production.

Memory first. Security second. Then layer on the capabilities that match what you're actually building. Every skill in this guide exists because I hit a real wall without it — not because it seemed cool on a marketplace page.

The best agent stack is the one you actually run every day. Start with memory, build up from there, and let the needs drive the decisions.

Go build something.