TL;DR
– Claude Code skills make the terminal agent reliable and extend it; the best are focused, composable, trigger from their description, and can run scripts.
– Engineering picks: skill-creator and mcp-builder (build skills and MCP servers), Superpowers (TDD dev workflow), code-reviewer.
– Frontend & GTM picks: impeccable, Emil Kowalski design-engineer skills and Vercel agent-skills for app craft; agent-gtm and La Growth Machine skills for GTM, all runnable from the terminal.
– Install the GTM library from git: the open-source gtm-system repo (skills + MCP server) sets up in one command.
Claude Code is the terminal-based coding agent, and skills are what make it reliable and extend it to your domain. For a GTM engineer or RevOps lead who lives in the terminal, the best Claude Code skills fall into two buckets: engineering skills that keep the agent disciplined, and GTM skills that let you build and run your go-to-market stack from the same prompt. This guide covers both, and points you to a ready-made library you can install in one command.
Before you start
- This is the Claude Code (developer) cut of our skills guides.
- For skills across Claude.ai and Desktop → the best Claude Skills
- For the wider GTM set → the best Claude Skills for GTM
- New to skills? → how to use Claude Skills
What makes a great Claude Code skill
In Claude Code specifically, a skill earns its place on four technical traits: it’s focused (one job, so the model picks it correctly), composable (it chains cleanly with other skills and MCP servers), it triggers from its description (no manual invocation), and it can call scripts so the work actually runs in your environment rather than staying as text. The skills below all clear that bar.
The best Claude Code skills at a glance
| Skill | Group | Source | Best for |
|---|---|---|---|
| skill-creator | Engineering | Anthropic | Building new skills from the terminal |
| mcp-builder | Engineering | Anthropic | Scaffolding MCP servers |
| Superpowers | Engineering | Community (obra) | TDD-driven dev workflow |
| code-reviewer | Engineering | Community | Reviewing diffs before merge |
| impeccable | Frontend | Community (pbakaus) | Design audits for AI-built UIs |
| Design-engineer skills | Frontend | Community (E. Kowalski) | Animation & interaction craft |
| Vercel agent-skills | Frontend | Vercel Labs | Web & UI engineering standards |
| gtm-engineering | GTM | Community (agent-gtm) | Architecting GTM automation |
| Campaign Builder | GTM | La Growth Machine | Multichannel sequences |
| Campaign Impact Analyzer | GTM | La Growth Machine | Pipeline attribution |
| Won-Deal ICP Finder | GTM | La Growth Machine | Proven-ICP discovery |
| lead-enrichment | GTM | Community (agent-gtm) | Clay-style enrichment waterfalls |
Engineering skills that keep Claude Code disciplined
These are the skills a GTM engineer installs first, because they make the agent reliable enough to trust with real work.
skill-creator
Anthropic’s skill-creator builds other skills for you, from the chat: it scaffolds the folder, writes a SKILL.md with valid frontmatter, and follows the cross-host conventions. For a GTM engineer, it’s how you turn a repeatable play into a reusable skill in minutes → anthropics/skills
mcp-builder
The companion to skill-creator, mcp-builder scaffolds MCP servers, so you can wrap an internal API or tool and expose it to Claude. It’s the fastest path from “we have an endpoint” to “the agent can call it.” → anthropics/skills
Superpowers
The most battle-tested dev methodology in the ecosystem: it runs brainstorm, plan, execute, review, and merge with TDD enforced, so autonomous coding sessions don’t drift. Essential if you let Claude Code build automations end to end → obra/superpowers
code-reviewer
A community skill that reviews diffs for bugs, style, and risk before you merge, the safety net that catches what slips through an autonomous session. Pairs naturally with the GitHub MCP server → awesome-claude-skills
Frontend and app craft (for GTM engineers who ship apps)
GTM engineers increasingly ship real interfaces: internal tools, landing pages, lead magnets, micro-apps. Claude Code can build them, but raw AI frontend output tends to look generic. These design-engineering skills push it to production quality.
impeccable
A design guidance system for AI coding agents from Paul Bakaus: 23 commands (/impeccable audit, polish, critique, animate) and 44 deterministic rules that catch the tells of AI-generated UI, overused fonts, purple gradients, weak contrast, before they ship. Run it after Claude builds a page to make the design defensible → pbakaus/impeccable
Design-engineer skills
Emil Kowalski’s open “skills for design engineers” focus on the craft layer: animation, motion, and interaction detail that separate a polished interface from a functional one. Useful when an internal tool or landing page needs to feel finished → emilkowalski/skills
Vercel agent-skills
Vercel Labs maintains an official collection of agent skills covering web and UI engineering standards (accessibility, performance, and interface quality), plus the npx skills tool to install them. A solid baseline for anyone shipping web apps with Claude Code → vercel-labs/agent-skills
GTM skills you run from the terminal
This is where Claude Code becomes a GTM engineering surface, not just a code editor. These skills let you build target lists, run campaigns, and measure pipeline without leaving the prompt.
gtm-engineering, lead-enrichment, gtm-metrics
From the open agent-gtm-skills library: gtm-engineering for designing automation architecture, lead-enrichment for Clay-style scoring waterfalls, and gtm-metrics for pipeline efficiency. They cover the design and data layer a GTM engineer owns → agentgtmskills.com
The La Growth Machine suite
La Growth Machine ships an open library of GTM skills that run in Claude Code: Campaign Builder turns a brief into a full multichannel sequence, Reply Manager triages and drafts replies, Won-Deal ICP Finder surfaces your proven ICP, and Campaign Impact Analyzer ranks campaigns by real pipeline. Here is the kind of output Campaign Builder returns from the terminal:
Example output of the skill:
Cold outbound to Heads of Sales at French B2B SaaS startups. Lead angle: “your reps spend 40% of the week on manual prospecting.”
Sourcing and data
For the upstream work, pair in enrich-with-signals and qualify-leads from YALC’s GTM-OS and clay from ColdIQ’s set to build and score lists before a campaign runs.
Install the GTM skills library from git
The fastest way to get a working GTM engineering setup in Claude Code is the open-source gtm-system repo, La Growth Machine’s skills library plus its MCP server. One command installs the whole stack:
curl -fsSL https://raw.githubusercontent.com/LaGrowthMachine/gtm-system/main/install.sh | shThat drops the skills into your skills directory and registers the MCP server, so the agent can both decide what to do (skills) and act on your data (MCP). You can also add individual skills the usual way: /plugin in Claude Code, a copy into ~/.claude/skills/, or a git clone of any library above.
How to combine skills in Claude Code
The payoff for a GTM engineer is chaining. Claude Code can call one skill after another in a single session, passing output downstream, so a whole motion runs from the terminal: qualify-leads scores a list, enrich-with-signals layers intent, then Campaign Builder drafts the sequence and Campaign Impact Analyzer reports on what it generated. Favor composable, single-purpose skills and suites that own a clear stage, because they combine into pipelines far more predictably than one catch-all skill. The more of your stack is expressed as skills, the more of your GTM work you can run, and version, from Claude Code.
Frequently asked questions
What are the best Claude Code skills? For engineering reliability: skill-creator, mcp-builder, Superpowers, and code-reviewer. For GTM engineering: agent-gtm’s gtm-engineering and lead-enrichment, plus La Growth Machine’s campaign and pipeline skills.
Are Claude Code skills different from Claude.ai skills? The skill format is the same, but Claude Code adds the terminal context: skills can run scripts, call MCP servers, and chain into pipelines, which is why it suits GTM engineers building automation.
How do I install a Claude Code skill? Use /plugin, copy the folder into ~/.claude/skills/ (user) or .claude/skills/ (project), or git clone a library. La Growth Machine’s GTM library installs with one command from its gtm-system repo.
Which skills are official? Anthropic ships skill-creator, mcp-builder, frontend-design, and browser use in anthropics/skills. Superpowers and the GTM libraries here are open-source community or vendor skills.
Can I run my full GTM stack from Claude Code? Increasingly, yes. With sourcing, enrichment, campaign, and reporting skills installed, a GTM engineer can run the motion from the terminal, with an MCP server connecting the agent to live data and actions.