# Yalc vs GTM Skills, Which Agentic GTM Tool Fits Your Team

> Canonical: https://www.yalc.ai/blog/yalc-vs-gtm-skills/

A public-facts comparison of two open-source GTM tools, the buyer each one is built for, and the one question that decides which you pick.

Pick GTM Skills if your buyer is a rep who wants the right prompt inside Gmail and LinkedIn. Pick Yalc if your buyer is a GTM engineer who wants an agent to source, enrich, score, send, and log from one place. The deciding question is not which model is smarter, since both run on the same LLMs. It is whether the person getting value will open a browser tab or a terminal.

## What is the real difference between Yalc and GTM Skills?

Both call themselves an agentic GTM operating system, and both are open source, so the category label tells you almost nothing. The split is what each one tries to make abundant.

GTM Skills, maintained by Prospeda, makes the right prompt abundant. Its public [GitHub repo](https://github.com/Prospeda/gtm-skills) ships more than 2,500 prompts under the MIT license, organized by role, industry, workflow, and sales methodology, and its [site](https://gtm-skills.com/) confirms there are no paywalls and no signup to copy them. The rep sits in their inbox, pulls a tuned prompt, and keeps moving.

Yalc makes the runnable skill abundant. The unit is not a prompt you paste, it is a markdown file the agent reads, follows step by step, and executes against your real tools from a Claude Code conversation. The rep version of a task is "write me a cold opener for this person." The Yalc version is "qualify these 200 inbound leads against my ICP, push the qualified ones to the CRM, and queue the borderline ones for review." Same model underneath, different output. The operator judgment here is simple. A prompt ends at the words. A skill ends at the logged activity. We define that engineer-shaped surface in the [piece on what an agentic GTM operating system actually is](/blog/agentic-gtm-operating-system/).

## What does GTM Skills actually ship?

GTM Skills is engineered for one persona, the human rep, and every surface points at the moment of writing. According to its [free tools page](https://gtm-skills.com/free-tools/mcp-server) and homepage, the product includes:

- A Chrome extension that surfaces prompts inside LinkedIn and Gmail.
- An MCP server for Claude Desktop with 10 tools and 6 interactive UIs that render in the chat.
- A REST API with an llms.txt file for agentic discovery.
- Voice templates wired to Vapi for cold calls, discovery, and objection handling.
- HubSpot-aware prompts that change with deal stage.
- An OpenClaw agent team (Scout, Writer, Rep, Closer) for teams that want autonomous agents.

The angle incumbents skip is the delivery mechanism, not the prompt count. A browser extension is the correct surface for a rep because it appears where the work already happens. A 2,500-prompt library is the correct shape because that persona will pull from it dozens of times a day and would never author the prompts themselves. The MIT license matters more than it looks, because a team can fork the library and rewrite angles for a narrow ICP without asking anyone. If your front line lives in the inbox, this is a strong default. For the broader contrast with terminal-driven work, see [Claude Code for sales](/blog/claude-code-for-sales/).

## What does Yalc actually ship?

Yalc takes the opposite path into the same category. It is CLI first, lives on the operator's own machine, and runs through Claude Code, so there is no separate UI to learn because the interface is the conversation you already have with the model.

A Yalc skill is a markdown file the agent executes end to end against your real data. The runnable stacks orchestrate live APIs across data, enrichment, sending, and CRM from one thread. The decision rule a generalist will not commit to is this. If the task is one human writing one message, a prompt library wins on speed. The moment the task involves more than one tool in sequence, sourcing then enrichment then scoring then logging, a prompt is the wrong unit because nobody wants to paste five prompts and copy data between five tabs by hand. That sequencing problem is exactly what the [MCP for sales pattern](/blog/mcp-for-sales/) solves, with one protocol exposing every tool to the agent inside the same conversation. The shape of the work lives in [the Yalc skills directory](/skills/) and [the MCP layer](/mcps/).

## Who should buy GTM Skills vs Yalc?

The buyer split is cleaner than the shared category name suggests. Map the team profile to the tool.

| Dimension | GTM Skills | Yalc |
| --- | --- | --- |
| Primary buyer | AE, SDR, founder still selling | GTM engineer, RevOps, ops generalist |
| Unit of value | A tuned prompt | A runnable markdown skill |
| Where it runs | LinkedIn, Gmail, Claude Desktop | Claude Code on your machine |
| Surface | Chrome extension, MCP, API, voice | CLI conversation |
| What it produces | Words to send | Logged actions across tools |
| License | MIT, free | Open source |
| Adoption cost | Install an extension | Comfort with markdown and APIs |

The non-obvious read is that adoption cost decides more deals than capability. A rep who will not open a terminal cannot extract Yalc value even if the agent is twice as capable, and an engineer who wants to version a workflow and re-run it next week gets little from a copy-paste library. This is the same line we draw in [GTM engineer vs an SDR team](/blog/gtm-engineer-vs-sdr-team/), where the persona, not the feature list, is the real variable.

## Where does each tool break when you push it the wrong way?

Every tool breaks outside its center of gravity, and these breaks are predictable.

GTM Skills breaks when the rep wants the agent to execute rather than advise. A prompt library tells you what to say. It does not pull contact data from a vendor API, score the lead against your ICP, log the activity to your CRM, and queue the follow-up. The OpenClaw agent team narrows this gap, but the everyday extension and prompt surfaces still cover the moment of writing, so the sourcing, enrichment, classification, and logging hours around it stay manual unless you wire them yourself.

Yalc breaks when the buyer is the AE. A markdown skill that runs from Claude Code is the wrong fit for a rep who lives in Outlook, because the point of contact is the terminal, not the inbox. The honest framing is in [Claude Code for marketing](/blog/claude-code-for-marketing/), which is direct about who should keep using their existing point tools. If your front line will not open a terminal, you do not have a Yalc team yet, you have a GTM Skills team. Forcing the wrong surface on the wrong buyer is how good tooling dies in week two.

## Can you run Yalc and GTM Skills together?

Yes, and they overlap less than the shared label implies. They share a buyer category, B2B GTM, and a runtime category, agents, but the workflows split.

A reasonable shared setup looks like this. Reps use GTM Skills inside Gmail and LinkedIn for the moment of writing. The GTM engineer runs Yalc from Claude Code for everything around it. Sourcing fires from a Yalc skill on a signal trigger. Enrichment runs through a waterfall wired into the markdown. Drafts get queued. The rep pulls the right GTM Skills prompt when they review a draft before it sends. Replies get logged and classified by another Yalc skill. The engineer owns the runtime, the rep owns the relationship.

The one rule that saves money is to never let both tools fight over the same step. If GTM Skills already gives reps a cold opener, the Yalc skill for that exact moment is redundant, so cut it and treat the two as complementary. The same pattern shows up against other incumbents in [Yalc vs Clay](/blog/yalc-vs-clay/) and [Yalc vs Blackmagic.ai](/blog/yalc-vs-blackmagic-ai/), and the answer keeps landing in the same place. Pick the tool whose center of gravity matches the work, then wire the rest of the stack around it.

## Frequently asked questions

### Is GTM Skills free?

Yes. GTM Skills is released under the MIT license, and both its [GitHub repo](https://github.com/Prospeda/gtm-skills) and [homepage](https://gtm-skills.com/) state there are no paywalls, no signup to copy prompts, and no usage limits. The library, the browser extension, the MCP server, and the API are all free to use, and the MIT terms allow commercial use and forking.

### What is the difference between a prompt library and a runnable skill?

A prompt is text you paste into an LLM to shape one response, so it ends at the words. A runnable skill is a markdown file an agent reads and executes step by step against real tools, so it ends at a completed action like a scored lead pushed to your CRM. GTM Skills is built around prompts, Yalc is built around runnable skills.

### Do I need a GTM engineer to use Yalc?

In practice, yes, or at least someone comfortable reading markdown and reasoning about APIs. Yalc runs from a Claude Code conversation on your own machine and produces actions across data, enrichment, sending, and CRM tools, which suits a RevOps or ops generalist more than a frontline rep. If your team is mostly AEs who live in the inbox, GTM Skills is the better starting point.

### Which should a small B2B team pick first?

Start from the buyer. If the people getting value are reps writing one-to-one messages in LinkedIn and Gmail, pick GTM Skills first because it compounds the moment the extension is installed. If you have someone who can read a markdown file and wire an API, pick Yalc first because the work you want to automate is a multi-step sequence, not a single message.