New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Offers

by sickn33 in sickn33/agentic-awesome-skills

When the user wants to design, construct, or improve an offer — the thing they actually sell — including value framing, bonus stacking, guarantee design, scarcity/urgency, naming, and payment…

MITAuto-check passed

Install Offers

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill offers -a claude-code

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

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills offers --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/offers .claude/skills/offers && 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
offers
GitHub stars
47k
Used in
1 other repo
Token cost
~2.4k tokens
SKILL.md length
1,133 words
Files
8 (incl. references)
Skills in repo
1,354
Repo updated
First seen
Licence
MIT

At a glance

When the user wants to design, construct, or improve an offer — the thing they actually sell — including value framing, bonus stacking, guarantee design, scarcity/urgency, naming, and payment…

  • Works in 7 steps: Identify the business type — service,… → State the current offer in plain… → Run the value equation — score each of… → …
  • Wants to design
  • SKILL.md covers When to Use, Before Starting, Core Philosophy and The Value Equation, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Offers is an agent skill from sickn33/agentic-awesome-skills. When the user wants to design, construct, or improve an offer — the thing they actually sell — including value framing, bonus stacking, guarantee design, scarcity/urgency, naming, and payment structure.

Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `references/bonus-stacking.md`, `references/examples.md` and `references/guarantee-design.md`).

The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Wants to design
  • Improve an offer — the thing they actually sell — including value framing
  • Guarantee design
  • Scarcity/urgency

Example prompts

  • “/offers”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Identify the business type — service, course, coaching, info product, SaaS, agency, B2B. The right playbook is type-specific.
  2. State the current offer in plain language — name, price, what they get, guarantee, deadline. Write it down even if it lives in scattered…
  3. Run the value equation — score each of the four levers 1–10. The lowest is the binding constraint.
  4. Audit the anatomy — which of the six components is missing or weak?
  5. Pick one lever to fix this iteration — don't rebuild everything. The biggest lever is usually the one currently scoring lowest.
  6. Draft the changed component — new bonus, new guarantee, new scarcity, new name, new payment plan
  7. Project the lift, honestly — most single-component changes deliver 10–40% conversion lift. Anyone promising 5x is selling something. Two…

What it can do on your machine

Read from SKILL.md and the folder at commit ec02547. 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

Offers loads about 2.4k tokens when it runs, and up to ~17k if it reads all its reference files. Until then it costs about 52 tokens; SKILL.md has 1,133 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~17k

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 sickn33/agentic-awesome-skills at commit ec02547, republished under its MIT licence (© sickn33). 1,133 words, ~2,361 tokens.

Download SKILL.mdSave it as .claude/skills/offers/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
offers
description
When the user wants to design, construct, or improve an offer — the thing they actually sell — including value framing, bonus stacking, guarantee design, scarcity/urgency, naming, and payment structure.
risk
safe
source
https://github.com/coreyhaines31/marketingskills/tree/main/skills/offers
source_repo
coreyhaines31/marketingskills
source_type
community
date_added
2026-07-01
license
MIT
license_source
https://github.com/coreyhaines31/marketingskills/blob/main/LICENSE

Offer Design

When to Use

Use this skill when you need when the user wants to design, construct, or improve an offer — the thing they actually sell — including value framing, bonus stacking, guarantee design, scarcity/urgency, naming, and payment structure. Also use when the user mentions 'offer,' 'offer design,' 'build an offer,' 'grand...

You are an expert in offer construction. Your goal is to help the user build offers that move — not by writing better copy on a worse offer, but by improving the offer itself.

Before Starting

Check for product marketing context first: If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Core Philosophy

The offer is the thing, not the page. Better copy on a weak offer compounds slowly. A stronger offer with average copy converts immediately. Most "we need better copy" requests are actually "we need a better offer" requests in disguise.

This skill exists because the rest of the repo handles the expression of an offer — copywriting writes the sales page, cro optimizes the conversion path, pricing sets the tier structure, launch orchestrates the moment, paywalls shapes the upgrade prompt. None of them ask the deeper question: is the offer underneath any of that actually good?

When this skill matters

You sell:

  • Services — consulting, freelance, agency retainers, productized services
  • Courses — async, cohort-based, live
  • Coaching — 1:1, group, mastermind
  • Info products — guides, swipe files, templates, communities
  • High-ticket B2B — $5K+ ACV with a sales conversation
  • Direct-response — e-com promo offers, infomercial-style, paid-traffic-to-VSL
When pricing does more of the work

You sell:

  • Self-serve SaaS with tiered subscriptions — the levers are mostly tier structure, value metric, and packaging; offer construction (bonuses, guarantees) is secondary
  • Marketplaces — the offer is structural, not constructed

Skim this skill in those cases for the value equation framing, then go to pricing.

The Value Equation

The single most useful frame for offer design. Originally from Alex Hormozi's $100M Offers — internalized broadly across direct-response and creator-economy training since.

              Dream Outcome  ×  Perceived Likelihood of Achievement
  Value  =  ─────────────────────────────────────────────────────────
              Time Delay     ×   Effort & Sacrifice

You move the four levers like this:

LeverWhat it meansHow to increase value
Dream outcome ↑What the customer actually wantsConnect to the bigger goal behind the surface ask. Specify and name it.
Perceived likelihood ↑Do they believe they'll get itProof (case studies, named customers, data), guarantees, methodology specificity
Time delay ↓How long until resultFaster onboarding, faster first win, faster end-to-end timeline
Effort & sacrifice ↓What it costs them in time/work/risk besides moneyDone-for-you, simpler process, fewer decisions, lower learning curve

Implication for offer construction: most "lower the price" requests are actually "raise the numerator or lower the denominator" requests. Price is the comparison, not the value.

For the full framework, examples, and how to diagnose which lever is broken: see references/value-equation.md

The Anatomy of a Complete Offer

A complete offer has six components. Skip any one and conversion suffers.

#ComponentQuestion it answers
1Core deliverableWhat do they get?
2Bonus stackWhat else do they get that makes the core feel undervalued?
3GuaranteeWhat happens if it doesn't work?
4Scarcity / urgencyWhy now, not later?
5NameWhat is this thing called?
6Price + payment structureWhat do they pay and how?

Most weak offers fail on bonuses (none), guarantees (none or wrong type), or scarcity (none, or fake). Most aggressive-to-the-point-of-cringe offers fail on guarantee (over-promising) or scarcity (fake countdown timers).

For the full anatomy with worked examples: see references/offer-anatomy.md

Reference Library

ReferenceWhen to read
value-equation.mdDiagnosing which lever is broken on a stuck offer
offer-anatomy.mdBuilding a complete offer from scratch
guarantee-design.mdPicking the right type of guarantee for your business model
bonus-stacking.mdAdding bonuses that raise perceived value without devaluing the core
scarcity-urgency.mdCreating real scarcity (and avoiding the fake patterns that destroy trust)
offer-formats.mdFormat playbooks by business type — service, course, coaching, info product, SaaS lead magnet, agency retainer, high-ticket B2B
examples.mdAnonymized worked examples — before/after for each business type
Show full SKILL.md (468 more words)Show less

The Diagnostic Loop

When the user says "my offer isn't converting" or "I want to improve my offer":

  1. Identify the business type — service, course, coaching, info product, SaaS, agency, B2B. The right playbook is type-specific.
  2. State the current offer in plain language — name, price, what they get, guarantee, deadline. Write it down even if it lives in scattered places now.
  3. Run the value equation — score each of the four levers 1–10. The lowest is the binding constraint.
  4. Audit the anatomy — which of the six components is missing or weak?
  5. Pick one lever to fix this iteration — don't rebuild everything. The biggest lever is usually the one currently scoring lowest.
  6. Draft the changed component — new bonus, new guarantee, new scarcity, new name, new payment plan
  7. Project the lift, honestly — most single-component changes deliver 10–40% conversion lift. Anyone promising 5x is selling something. Two consecutive iterations on different levers can stack to 2–3x.

When NOT to Use Offer-Design Tactics

Some offer patterns work but cost more than they're worth:

  • Manipulative scarcity — fake countdown timers, "only 3 spots left" lies. Short-term lift, long-term trust collapse. Don't.
  • Over-promising guarantees — "double your revenue or refund + $1,000." Refund risk eats margin; the few cases that fail nuke your reputation publicly.
  • Bonus inflation — stacking $50K of "bonuses" on a $497 product so it "feels like a steal." Sophisticated buyers see this. Treat bonuses as additive, not exaggerated.
  • Course-bro aesthetic on a serious product — Gold logos, "secret method," fake urgency. Pattern-matches to scam. Wrong room.

The repo voice: opinionated, but honest. Building offers well doesn't mean building offers loud.

Banned Vocabulary

When drafting offer language (sales pages, emails, headlines), avoid:

  • "Game-changing," "revolutionary," "disruptive," "next-level," "10x" — pattern-matches to AI slop / course-bro
  • "Secret," "hidden," "what they don't want you to know" — clickbait
  • "Limited time" with no actual time limit — lying
  • "Worth $X" or "$Y value" with no comparable — inflation
  • "100% guaranteed" without specifying conditions — legally and brand-wise risky

Use specific numbers, named customers, concrete outcomes, real timelines. Specificity beats superlatives.

  • pricing — for price levels, tier structure, value metric, packaging, freemium
  • copywriting — for the page that presents the offer
  • cro — for optimizing the conversion path the offer travels through
  • launch — for the moment you ship the offer
  • paywalls — for in-app upgrade-prompt versions of an offer
  • sales-enablement — for the deck and one-pager that carry the offer into a sales conversation
  • emails — for the email sequence that warms up the offer
  • marketing-psychology — for the cognitive biases that make offers land or bounce

Limitations

  • Use this skill only when the task clearly matches its upstream source and local project context.
  • Verify commands, generated code, dependencies, credentials, and external service behavior before applying changes.
  • Do not treat examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (references) in skills/offers of sickn33/agentic-awesome-skills.

  • SKILL.md
  • references/bonus-stacking.md
  • references/examples.md
  • references/guarantee-design.md
  • references/offer-anatomy.md
  • references/offer-formats.md
  • references/scarcity-urgency.md
  • references/value-equation.md

Open the folder on GitHubat commit ec02547

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Offers 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.

Offers compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Offers this skillsickn33/agentic-awesome-skills47k1 repos~2.4kAutomated safety check: PassMIT
OffersNexus-JPF/note-companion8702 repos~2.3kAutomated safety check: PassMIT
Improve Oaselastic/kibana21k—~4.8kAutomated safety check: PassCustom licence
Self-Improve Evolutionary LoopYeachan-Heo/oh-my-claudecode40k—~5.3kAutomated safety check: WarnMIT
Skill Improvement LoopDonchitos/Claude-Code-Game-Studios26k—~1.6kAutomated safety check: NotesMIT
Agent Harness Constructionaffaan-m/ECC275k2 repos~222Automated safety check: PassMIT

Similar skills

  • Offers

    Nexus-JPF/note-companion

    When the user wants to design, construct, or improve an offer — the thing they actually sell — including value framing, bonus stacking, guarantee design, scarcity/urgency, naming, and payment…

    870 GitHub starsUsed in 2 repos~2.3k tokens
    Sales & SupportAuto-check passed

  • Improve Oas

    elastic/kibana

    Official

    Add or improve OpenAPI descriptions, examples, and code samples for a Kibana API area.

    21k GitHub stars~4.8k tokensUpdated today
    Backend & APIsAuto-check passed

  • Self-Improve Evolutionary Loop

    Yeachan-Heo/oh-my-claudecode

    Runs an autonomous improvement loop on a repository: agents propose and execute plans, a tournament picks the winner by benchmark, and each round is recorded and plotted.

    40k GitHub stars~5.3k tokensUpdated today
    Agent WorkflowsAuto-check: warnings

  • Skill Improvement Loop

    Donchitos/Claude-Code-Game-Studios

    Improves a single skill through a test, fix and retest loop, keeping or reverting each change based on how the static and category scores move.

    26k GitHub stars~1.6k tokensUpdated 8 days ago
    Agent WorkflowsAuto-check: notes

  • Agent Harness Construction

    affaan-m/ECC

    设计和优化AI代理的动作空间、工具定义和观察格式，以提高完成率。

    275k GitHub starsUsed in 2 repos~222 tokens
    Auto-check passed

  • Agent Harness Construction

    affaan-m/ECC

    AI エージェントのアクション空間、ツール定義、観測フォーマットを設計・最適化して完了率を向上させます. An agent skill from affaan-m/ECC.

    275k GitHub stars~297 tokensUpdated 3 days ago
    Auto-check passed

More from sickn33/agentic-awesome-skills

All 1,354 skills in this repo

  • Liuguang Banlan UI

    sickn33/agentic-awesome-skills

    Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.

    47k GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed

  • User Thoughts Memory

    sickn33/agentic-awesome-skills

    Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.

    47k GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed

  • Using LWC Memory and Graphs

    sickn33/agentic-awesome-skills

    Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.

    47k GitHub starsUsed in 1 repo~2k tokens
    Auto-check passed

  • Find Complementary Founders

    sickn33/agentic-awesome-skills

    Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.

    47k GitHub starsUsed in 1 repo~4.8k tokens
    Auto-check passed

  • Cline Pilot

    sickn33/agentic-awesome-skills

    Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.

    47k GitHub starsUsed in 1 repo~4.6k tokens
    Auto-check passed

  • Content Creator

    sickn33/agentic-awesome-skills

    Drafts and reviews audience-specific content from supplied brand examples, with local scripts for brand voice and SEO diagnostics, channel templates and a content calendar.

    47k GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed

Questions about Offers

What does Offers do?

When the user wants to design, construct, or improve an offer — the thing they actually sell — including value framing, bonus stacking, guarantee design, scarcity/urgency, naming, and payment…. Offers is an agent skill from sickn33/agentic-awesome-skills. When the user wants to design, construct, or improve an offer — the thing they actually sell — including value framing, bonus stacking, guarantee design, scarcity/urgency, naming, and payment structure.

When should I use Offers?

Offers fits situations like: wants to design; improve an offer — the thing they actually sell — including value framing; guarantee design; scarcity/urgency.

How do I install Offers in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill offers -a claude-code`. Or copy the skill folder (skills/offers in sickn33/agentic-awesome-skills) into .claude/skills/offers in your project. Claude Code loads it when a task matches its description.

How do I install Offers in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill offers -a codex`. Or copy the skill folder (skills/offers in sickn33/agentic-awesome-skills) into .agents/skills/offers in your project. Codex loads it when a task matches its description.

Can I use Offers 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 sickn33/agentic-awesome-skills --skill offers -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/offers, .gemini/skills/offers, .github/skills/offers and .opencode/skills/offers in your project.

What does Offers need to run?

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

Does Offers 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 Offers 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 Offers use?

Offers is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Offers use?

About 2.4k tokens (SKILL.md is roughly 9.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 15k tokens, read only when the agent opens those files.

What are the alternatives to Offers?

Skills that share tags, products or a category with Offers: Offers (Nexus-JPF/note-companion, 870 stars), Improve Oas (elastic/kibana, 21k stars), Self-Improve Evolutionary Loop (Yeachan-Heo/oh-my-claudecode, 40k stars) and Skill Improvement Loop (Donchitos/Claude-Code-Game-Studios, 26k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Offers?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,343 GitHub stars. The repository holds 1,354 skills in this directory. The repository was last updated on October 7, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.