5 ClawHub Skills That Make Your AI Agent Smarter

Most developers use Claude Code the same way every day: open terminal, ask a question, get an answer, close terminal. The agent doesn't remember yesterday. It doesn't notice patterns in your workflow. It doesn't improve based on what worked and what didn't.

That's the default. It doesn't have to be your reality.

ClawHub publishes a cluster of AI enhancement skills specifically designed to make Claude Code adaptive, persistent, and self-improving. These aren't gimmicks — they're practical skills that accumulate value the longer you use them. Here are the five worth installing today.

1. self-improving-agent

The premise is straightforward: after each significant interaction, the agent reflects on what it did well and what it could have done better. Those reflections get stored and inform future behavior.

In practice, this means the agent stops making the same mistakes twice. If you corrected it three times last week on how you prefer your TypeScript typed, it will remember. If a particular workflow consistently worked well for you, it will default toward that pattern.

Install:

/skills install self-improving-agent

Best for: Developers who use Claude Code daily and want it to learn their specific codebase conventions and preferences over time.

Limitation worth knowing: The improvement loop is only as good as the feedback you give. If you accept mediocre outputs without correction, the agent doesn't know to improve. You get out what you put in.

2. proactive-agent

Standard Claude Code waits for you to ask. The proactive-agent skill changes that posture. It monitors context — your current branch, recent file changes, open issues — and surfaces relevant suggestions before you ask.

Working in a feature branch with three failing tests? The proactive agent will mention it. Committed code that touches a file with known tech debt? It will flag the connection. It's less of a reactive tool and more of a thinking partner that stays one step ahead.

Install:

/skills install proactive-agent

Usage example: Once installed, the agent begins each session with a brief context read. You'll see something like:

Context loaded: 3 uncommitted changes, 1 failing test in auth.test.ts,
open PR #47 waiting on your review.

Best for: Teams where context-switching is frequent and things fall through the cracks.

Limitation worth knowing: The proactive surfacing can feel noisy early on. Spend the first week tuning which triggers you actually want.

3. capability-evolver

This skill tracks which Claude Code capabilities you actually use and which you ignore. Over time, it adjusts the agent's default behavior to lead with the tools and approaches that have proven effective in your specific context.

Think of it as personalized feature discovery in reverse: instead of you learning what the agent can do, the agent learns what you actually need it to do.

Install:

/skills install capability-evolver

Best for: Power users who want their Claude Code setup to differentiate itself from a generic out-of-the-box configuration.

Limitation worth knowing: Takes 2-3 weeks of regular use before the evolution becomes meaningfully noticeable. Patience required.

4. auto-updater

Skills go stale. Publishers push new versions. ClawHub's auto-updater skill checks your installed skills against current versions and handles updates automatically, with a changelog summary so you know what changed.

Without this, you're running whatever version you installed the day you ran /skills install. With it, you're always current.

Install:

/skills install auto-updater

Usage example:

/skills check-updates
# → skill-creator: v1.2.0 → v1.3.1 (3 updates available)
# → proactive-agent: up to date
# → self-improving-agent: v2.0.0 → v2.1.0

Best for: Anyone running more than 5 skills who doesn't want to manually track version hygiene.

Limitation worth knowing: Auto-updates run by default on session start. If you prefer manual control, configure the update mode to manual in your skill settings.

5. elite-longterm-memory

The most technically ambitious of the five. Standard Claude Code sessions are stateless — nothing persists between conversations. elite-longterm-memory changes that by maintaining a structured knowledge graph of your projects, preferences, and past decisions.

Ask it about an architectural decision you made six months ago. It will know. Reference a pattern you established in a different project. It will apply it. This is the skill that makes Claude Code feel like a colleague rather than a search engine.

Install:

/skills install elite-longterm-memory

Usage example:

You: Why did we switch from REST to GraphQL on the payments service?
Agent: In December 2025, you documented that the mobile client needed
       flexible field selection to reduce payload size on 3G connections.
       See: decisions/2025-12-payments-api.md

Best for: Developers who work on long-lived projects and want institutional knowledge to survive session boundaries.

Limitation worth knowing: Memory storage grows over time. The skill includes a memory-prune command for cleaning up outdated entries, which you'll want to run monthly on active projects.

The Stack That Compounds

These five skills are more valuable together than individually. A typical high-leverage setup looks like this:

1. elite-longterm-memory — persistent context foundation
2. self-improving-agent — learns from corrections over time
3. proactive-agent — surfaces relevant context proactively
4. capability-evolver — adapts to your actual usage patterns
5. auto-updater — keeps everything current automatically

Install them in that order. Give the system two weeks of regular use. The difference between your Claude Code at day 1 and day 14 will be noticeable.

The default AI agent is a generic tool. These skills make it yours.