Transform product descriptions and feature lists into compelling, outcome-focused offers for cold outreach.

MITAuto-check passedSales & Support

Install Offer Definer

skills CLI
$ npx skills add Othmane-Khadri/YALC-the-GTM-operating-system --skill offer-definer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Othmane-Khadri/YALC-the-GTM-operating-system offer-definer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Othmane-Khadri/YALC-the-GTM-operating-system.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/lemlist/offer-definer .claude/skills/offer-definer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
offer-definer
GitHub stars
318
Token cost
~1k tokens
SKILL.md length
477 words
Files
1
Skills in repo
57
Repo updated
First seen
Licence
MIT

At a glance

Transform product descriptions and feature lists into compelling, outcome-focused offers for cold outreach.

  • Works in 4 steps: Extract the core → Build the three offer levels → Channel-specific versions → …
  • Asked how to frame my offer
  • SKILL.md covers Step 1 — Extract the core, Step 2 — Build the three offer…, Step 3 — Channel-specific… and Step 4 — Output format, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Offer Definer is an agent skill from Othmane-Khadri/YALC-the-GTM-operating-system. Transform product descriptions and feature lists into compelling, outcome-focused offers for cold outreach. Use when asked "how to frame my offer", "what should I say in cold emails", "how to pitch my product", "make my offer clearer", "value proposition for outreach", "how do I explain what we do", "turn features into benefits", or "write a one-liner for my product". Use after ICP and persona are defined, before writing outreach copy.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Sales & Support, covering Cold outreach, Positioning and messaging and Copywriting. The repository describes itself as: YALC 1.0, the open-source Clay alternative. MIT, CLI-first, self-hosted, runs in Claude Code. Yalc today is an intelligent orchestration layer that runs pre configured GTM agents…. The licence is MIT.

When your agent uses it

  • Asked how to frame my offer
  • What should I say in cold emails
  • How to pitch my product
  • Make my offer clearer

Example prompts

  • “how to frame my offer”
  • “what should I say in cold emails”
  • “how to pitch my product”
  • “/offer-definer”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Extract the core
  2. Build the three offer levels
  3. Channel-specific versions
  4. Output format

What it can do on your machine

Read from SKILL.md and the folder at commit 5686d1f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Offer Definer loads about 1k tokens when it runs. Until then it costs about 113 tokens; SKILL.md has 477 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~113
When it runs · the whole SKILL.md, loaded when a task matches
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Othmane-Khadri/YALC-the-GTM-operating-system at commit 5686d1f, republished under its MIT licence (© Othmane-Khadri). 477 words, ~1,028 tokens.

Download SKILL.mdSave it as .claude/skills/offer-definer/SKILL.md (or your agent's skills folder).
name
offer-definer
description
Transform product descriptions and feature lists into compelling, outcome-focused offers for cold outreach. Use when asked "how to frame my offer", "what should I say in cold emails", "how to pitch my product", "make my offer clearer", "value proposition for outreach", "how do I explain what we do", "turn features into benefits", or "write a one-liner for my product". Use after ICP and persona are defined, before writing outreach copy.

Offer Definer — Turn features into compelling offers

You are an offer strategist for B2B outbound. You help translate "what we do" into "what you get" — in language that makes prospects want to respond.

The core problem with most outreach: it talks about the product, not the outcome.

  • ❌ "We're an AI-powered email personalization platform with 50+ integrations"
  • ✅ "Book 3x more meetings without hiring more SDRs"

Step 1 — Extract the core

Ask for (or extract from URL):

  • What do you do? (their answer, usually feature-focused)
  • Who is it for?
  • What problem does it solve?
  • What happens after someone uses it? (the outcome)
  • What's the alternative if they don't buy? (cost of inaction)
  • Any customer results or metrics?

Then climb the Feature → Outcome ladder:

  • Feature: "AI email personalization"
  • Capability: "Personalize 1,000 emails in 10 minutes"
  • Benefit: "Save 15 hours/week on research"
  • Outcome: "Hit quota without working weekends"

Always reach the outcome level. Benefits without outcomes are not enough.


Step 2 — Build the three offer levels

Level 1 — The One-Liner

For subject lines, openers, first impressions

Formats:

  • Outcome + Speed: "[Verb] [outcome] in [timeframe]"
  • Outcome + Effort saved: "[Verb] [outcome] without [thing they hate]"
  • Transformation: "Go from [bad state] to [good state]"

Rules: Lead with outcome, use specific numbers, make it believable, relate to their pain.

Produce 3 variations.

Level 2 — The Value Proposition

For email body, LinkedIn messages, short pitches

Format: "We help [specific ICP] [achieve measurable outcome] by [unique approach], so [business impact]."

Break it down explicitly:

  • Who: [specific ICP, not "companies"]
  • What they get: [measurable outcome]
  • How: [unique approach in 1 sentence]
  • Why it matters: ["so what?" — the business impact]
Show full SKILL.md (210 more words)Show less
Level 3 — The Full Offer

For landing pages, discovery calls, longer pitches

  • Problem: [the pain, in prospect's words]
  • Agitation: [why it's expensive/urgent — quantify]
  • Solution: [how you solve it — 1–2 sentences]
  • Outcome: [specific results with metrics]
  • Proof: [social proof, customer count, or metric]

Step 3 — Channel-specific versions

Cold email subject lines (5–7 words): tease the outcome, make it about them Email opener (2 sentences): pain observation + outcome LinkedIn message (80 chars): outcome question or observation


Step 4 — Output format


Offer Definition: [Company/Product]

Core offer summary

One-sentence offer: [The strongest one-liner] Target audience: [Specific ICP] Core pain addressed: [#1 pain solved] Primary outcome: [What prospects get] Proof point: [Metric or social proof]

Offer hierarchy

Level 1 — One-liners (3 versions):

  • Version 1 (Outcome + Speed): "[...]"
  • Version 2 (Effort saved): "[...]"
  • Version 3 (Transformation): "[...]"

Level 2 — Value proposition: "We help [ICP] [outcome] by [approach], so [impact]."

Level 3 — Full offer: Problem → Agitation → Solution → Outcome → Proof

Channel-specific

Subject lines (3 options): [...] Email opener: [2-sentence version] LinkedIn (80 chars): [...]

Common mistakes to avoid

❌ [Specific mistake based on their input] ❌ [Another one]


Quality bar

Before delivering, verify each offer:

  • Passes the "so what?" test?
  • Specific and measurable (numbers, timeframes)?
  • Believable (not overpromising)?
  • Simple language (no jargon)?
  • About what they GET, not what you DO?
  • Leads with outcome, not process?

© Othmane-Khadri, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/lemlist/offer-definer of Othmane-Khadri/YALC-the-GTM-operating-system.

Open the folder on GitHubat commit 5686d1f

Compare with similar skills

Offer Definer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Offer Definer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Offer Definer this skillOthmane-Khadri/YALC-the-GTM-operating-system318—~1kAutomated safety check: PassMIT
Customer Finderbuildfastwithai/gen-ai-experiments785—~1.4kAutomated safety check: PassMIT
Spam Word Checkergrowthenginenowoslawski/coldoutboundskills753—~2.5kAutomated safety check: PassMIT
Atomic Messageextruct-ai/gtm-skills109—~952Automated safety check: PassNone
Icp Onboardinggrowthenginenowoslawski/coldoutboundskills753—~1.9kAutomated safety check: PassMIT
Cold Email Strategistswan-gtm/gtm-skills172—~2.3kAutomated safety check: PassMIT

Similar skills

  • Customer Finder

    buildfastwithai/gen-ai-experiments

    Find and qualify evidence-backed potential first customers, early adopters, design partners, or beta users for a startup using recent public pain and buying signals.

    785 GitHub stars~1.4k tokensUpdated 18 days ago
    Sales & SupportAuto-check passed
  • Spam Word Checker

    growthenginenowoslawski/coldoutboundskills

    Always-on spam and deliverability guardrails for cold email copy.

    753 GitHub stars~2.5k tokensUpdated 5 days ago
    Sales & SupportAuto-check passed
  • Atomic Message

    extruct-ai/gtm-skills

    Draft ONE cold-outreach message from a signal + persona + channel: a single cold email, a LinkedIn note, or a follow-up.

    109 GitHub stars~952 tokensUpdated 12 days ago
    Sales & SupportAuto-check passed
  • Icp Onboarding

    growthenginenowoslawski/coldoutboundskills

    Conversational intake for cold email campaigns. An agent skill from growthenginenowoslawski/coldoutboundskills.

    753 GitHub stars~1.9k tokensUpdated 5 days ago
    Sales & SupportAuto-check passed
  • Cold Email Strategist

    swan-gtm/gtm-skills

    A skill your agent uses when writing or fixing cold email — first-touch and follow-up sequences, re-engagement, subject lines, personalization at scale, ATL/BTL messaging, copywriting frameworks…

    172 GitHub stars~2.3k tokensUpdated 3 days ago
    Sales & SupportAuto-check passed
  • Messaging Ab Tester

    gooseworks-ai/goose-skills

    Generate 3-5 messaging variants for a value proposition, design structured A/B tests, and analyze results to determine which framing resonates most with ICP.

    1.2k GitHub starsUsed in 1 repo~2.3k tokens
    Sales & SupportAuto-check passed

More from Othmane-Khadri/YALC-the-GTM-operating-system

All 57 skills in this repo
  • Claap Weekly Recap

    Othmane-Khadri/YALC-the-GTM-operating-system

    Turns a week of Claap-recorded sales calls into action items and focus blocks on a Notion Kanban, delivered with a Slack summary.

    318 GitHub stars~5.4k tokensUpdated 1 mo ago
    Auto-check passed
  • Fullenrich Plg Reverse Lookup

    Othmane-Khadri/YALC-the-GTM-operating-system

    A skill your agent uses when the user says "set up FullEnrich reverse lookup for trial signups", "PLG enrichment webhook", "identify free trial signups via FullEnrich", "reverse email lookup for…

    318 GitHub stars~1.3k tokensUpdated 1 mo ago
    Auto-check passed
  • Fullenrich Content Engagers

    Othmane-Khadri/YALC-the-GTM-operating-system

    A skill your agent uses when the user says "enrich people who engaged with this post", "qualify post engagers with FullEnrich", "scrape and enrich LinkedIn post {URL}", "engagers from this post into…

    318 GitHub stars~1.5k tokensUpdated 1 mo ago
    Auto-check: warnings
  • Fullenrich Event Attendees

    Othmane-Khadri/YALC-the-GTM-operating-system

    A skill your agent uses when the user says "enrich this LinkedIn event", "enrich attendees of this event", "enrich this attendees CSV", "scrape and enrich LinkedIn event {URL}", "FullEnrich event…

    318 GitHub stars~1.4k tokensUpdated 1 mo ago
    Auto-check: warnings
  • Answer Linkedin Comments

    Othmane-Khadri/YALC-the-GTM-operating-system

    Reply to comments on a LinkedIn post via Unipile — drafts thread-aware replies grounded in the user's voice and the conversation context, then sends on approval.

    318 GitHub stars~551 tokensUpdated 1 mo ago
    Auto-check: notes
  • Fullenrich Network Activation

    Othmane-Khadri/YALC-the-GTM-operating-system

    A skill your agent uses when the user says "activate co-founder network with FullEnrich", "enrich LinkedIn connections export", "qualify my LinkedIn connections CSV", "turn Connections.csv into a…

    318 GitHub stars~1.1k tokensUpdated 1 mo ago
    Auto-check: warnings

Categories

Questions about Offer Definer

What does Offer Definer do?

Transform product descriptions and feature lists into compelling, outcome-focused offers for cold outreach. Offer Definer is an agent skill from Othmane-Khadri/YALC-the-GTM-operating-system. Transform product descriptions and feature lists into compelling, outcome-focused offers for cold outreach.

When should I use Offer Definer?

Offer Definer fits situations like: asked how to frame my offer; what should I say in cold emails; how to pitch my product; make my offer clearer.

How do I install Offer Definer in Claude Code?

Run `npx skills add Othmane-Khadri/YALC-the-GTM-operating-system --skill offer-definer -a claude-code`. Or copy the skill folder (.claude/skills/lemlist/offer-definer in Othmane-Khadri/YALC-the-GTM-operating-system) into .claude/skills/offer-definer in your project. Claude Code loads it when a task matches its description.

How do I install Offer Definer in Codex?

Run `npx skills add Othmane-Khadri/YALC-the-GTM-operating-system --skill offer-definer -a codex`. Or copy the skill folder (.claude/skills/lemlist/offer-definer in Othmane-Khadri/YALC-the-GTM-operating-system) into .agents/skills/offer-definer in your project. Codex loads it when a task matches its description.

Can I use Offer Definer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Othmane-Khadri/YALC-the-GTM-operating-system --skill offer-definer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/offer-definer, .gemini/skills/offer-definer, .github/skills/offer-definer and .opencode/skills/offer-definer in your project.

What does Offer Definer need to run?

SKILL.md names no scripts, command-line tools or credentials: Offer Definer is instructions for the agent only.

Does Offer Definer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Offer Definer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Offer Definer use?

Offer Definer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Offer Definer use?

About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Offer Definer?

Skills that share tags, products or a category with Offer Definer: Customer Finder (buildfastwithai/gen-ai-experiments, 785 stars), Spam Word Checker (growthenginenowoslawski/coldoutboundskills, 753 stars), Atomic Message (extruct-ai/gtm-skills, 109 stars) and Icp Onboarding (growthenginenowoslawski/coldoutboundskills, 753 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Offer Definer?

Othmane-Khadri (a GitHub user) maintains it in Othmane-Khadri/YALC-the-GTM-operating-system, which has 318 GitHub stars. The repository holds 57 skills in this directory. The repository was last updated on August 20, 2026.

Source: Othmane-Khadri/YALC-the-GTM-operating-system on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.