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Agent Skill · 研究检索

100m-offers(100m 优惠)

100m-offers 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

100m-offers 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 55,093。

总安装 490周安装 20GitHub Stars 111下载 157核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:100m-offers(100m 优惠)
来源仓库:https://github.com/getagentseal/founder-playbook
仓库路径:skills/100m-offers
安装命令:
npx skills add https://github.com/getagentseal/founder-playbook --skill 100m-offers
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/getagentseal/founder-playbook --skill 100m-offers

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

该技能专为从海量信息中精准定位高价值线索而设计, 适用于初创企业寻找百万级订单机会的场景。核心能力在于智能分析市场趋势与潜在客户特征,提供可操作的筛选策略。使用时需结合具体业务目标设定搜索参数,系统将返回结构化候选结果列表。安装前请确认是否具备联网权限及数据访问范围,避免触发不必要的系统调用。

来源仓库内路径:skills/100m-offers

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/getagentseal/founder-playbook --skill 100m-off…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

100m-offers 怎么安装?

在终端执行 npx skills add https://github.com/getagentseal/founder-playbook --skill 100m-offers。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

100m-offers 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

100m-offers 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

100m-offers 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

100m-offers 用的人多吗?

公开数据是累计安装 490 次,近一周安装 20 次,下载 157 次,GitHub 111 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

100m-offers 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
100m-offers

100m 优惠 · 本页

490111只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Note: This skill is independent analysis and commentary, not a reproduction of the original text. It synthesizes the book's core ideas with modern startup practice, surfaces where frameworks are outdated or incomplete, and integrates perspectives from adjacent disciplines. For the full argument and context, read the original book.

$100M Offers

"Make offers so good people feel stupid saying NO" - Alex Hormozi

The Core Insight

"You don't have a sales problem or a marketing problem. You have an offer problem."

If qualified leads aren't buying, it's not your traffic - it's what you're offering them.

Decision Tree

Are you getting qualified leads?
├─ NO → Use 100m-leads
└─ YES → Are leads converting?
         ├─ NO → You have an offer problem (this skill)
         └─ YES → Are you charging premium?
                  ├─ NO → Stack value, raise prices
                  └─ YES → Scale ad spend
Building an offer?
├─ Pre-validation → Use mom-test FIRST
├─ Validated market → Use this skill
├─ Pricing question only → See monetizing-innovation
└─ Positioning unclear → See obviously-awesome

Step 0: Pick a Starving Crowd

Before any offer work: a great offer in a dead market fails. A mediocre offer in a ravenous market can still win.

The core principle: You want a market that is already hungry - people actively searching for a solution and willing to pay for it. Market selection is the multiplier on everything that follows.

3 criteria to test any market:

CriterionQuestion to askRed flag
PainDo they have an urgent, specific problem?Vague dissatisfaction, not a burning need
Purchasing powerCan they actually pay for a solution?Market with desire but no budget
TargetabilityCan you reach them efficiently?Audience that is scattered or hard to identify

All three must be true. Two out of three is not enough.

How to pick:

  1. List markets where you have access or credibility.
  2. Run each through the 3-criteria test above.
  3. Pick the one with the highest pain score and a clear place to find them.

A growing market also covers execution mistakes. A shrinking market punishes even excellent offers.

Rule: Niche selection is a prerequisite, not a step inside offer-building. Don't start the value equation until you know exactly who you are selling to and why they are desperate to buy.

The Value Equation

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

Four levers. Pull any of them; both directions work.

LeverDirectionHow
Dream Outcome↑ BiggerMake the outcome more compelling, specific, emotional
Perceived Likelihood↑ HigherAdd proof, guarantees, testimonials, credentials
Time Delay↓ FasterShow results sooner, deliver quicker
Effort & Sacrifice↓ EasierRemove steps, do it for them, automate

Rule: If you can't increase the top, decrease the bottom.

What Makes a Grand Slam Offer

A Grand Slam Offer is incomparable to competitors because it combines:

  1. Attractive promotion - The hook
  2. Unmatchable value proposition - The stack
  3. Premium price - Price implies value
  4. Unbeatable guarantee - Removes risk

If anyone can compare your offer to a competitor's, you don't have a Grand Slam Offer yet.

The 6-Step Process

StepActionOutput
1Define dream outcomeSpecific result + timeframe + emotional benefit
2List ALL obstacles15+ minimum, across 4 categories
3Reverse obstacles to "How to..." solutionsSolution statement per obstacle
4Design delivery vehiclesFormat, frequency, intensity per solution
5Trim and stack (value-cost matrix)6-10 strong components
6Add enhancementsGuarantees, scarcity, urgency, bonuses

Detail in frameworks.md.

Step 1: Dream Outcome Format

[Specific result] in [timeframe] so that [emotional benefit/status change]

BadGood
Lose weightLose 20 lbs in 8 weeks so you can wear that dress at your reunion
Make more moneyAdd $30K/mo in 90 days so you can quit your day job
Get more leadsBook 10 sales calls per week without cold calling

Step 2: 4 Obstacle Categories

CategoryWhat It BlocksExample
Knowledge GapsWhat they don't KNOW"I don't know what to eat"
Skill DeficienciesWhat they can't DO"I can't cook healthy meals"
Environmental BarriersExternal factors"My family won't eat this food"
Psychological BlocksMindset issues"I always quit after 2 weeks"

Hormozi's wording for environmental is "External" - same concept.

Step 5: Value-Cost Decision Matrix

Score each component on Value to customer (1-10) and Cost to deliver (1-10). High-value, low-cost components stay in the core offer; mid-value components move to bonuses; low-value or high-cost components get cut. Target 6-10 strong components total.

Full value-cost matrix and scoring: see frameworks.md.

The Stacking Principle

"A single offer is less valuable than the same offer broken into its component parts and stacked as bonuses."

Bad Presentation

"$2,000 weight loss program"

Good Presentation

  • Personal nutrition orientation ($500 value)
  • Recorded grocery store tour ($200 value)
  • Weekly meal plans ($600 value)
  • Accountability buddy system ($400 value)
  • Restaurant eating system ($300 value)
  • Travel workout plans ($250 value)
  • 20-pound guarantee (PRICELESS)
  • Total Value: $2,250+
  • Your Investment: $599

Same product. Substantially higher perceived value.

Pricing Psychology

Charge More, Not Less

High PriceLow Price
Signals high valueSignals low value
Forces you to deliver high valueLets you cut corners
Premium customers complain lessCheap customers most demanding

Price Anchoring (Always Show Three Numbers)

  1. Total Value: $X (sum of all components)
  2. Your Investment: $Y (the price)
  3. You Save: $Z = $X - $Y

The bigger the gap between value and investment, the more "no-brainer" the offer feels.

Value-to-Price Rule

Hormozi's directional guidance is to make total stated value substantially higher than the price - he tends to use 10x or "incomparable" framings rather than a precise multiplier. Aim for stacked value that makes the price feel small in comparison. If your offer's stated value is only ~2x the price, it's not yet a Grand Slam Offer.

Critical Warning: Validate Market First

Hormozi's framework assumes you have product-market fit. The book doesn't tell you this.

If you build a Grand Slam Offer for a market that doesn't want your thing, the offer will fail no matter how good.

Before building the offer:

  1. Have 5-10 customer interview transcripts (use mom-test)
  2. Validate dream outcome with actual customer language
  3. Confirm target market has budget
  4. Survey data with specific responses

The framework is for VALIDATED markets. If you're pre-validation, use mom-test first.

Common Mistakes

MistakeFix
Vague solutions ("Coaching")Specific delivery ("Weekly 30-min strategy calls + custom action plans")
Including everythingTrim aggressively. 6-10 strong > 20 mediocre
Building on assumptionsUse mom-test customer language
UnderpricingIf incomparable, premium is mandatory
Generic namesSpecific transformation names sell

Success Signals

You have a Grand Slam Offer when:

  1. Prospects stop comparing you to competitors (you're incomparable)
  2. Conversion rates improve materially (Hormozi typically reports 2-3x lift; specific numbers vary by business)
  3. You can raise prices and customers still say yes
  4. People feel stupid saying no

Rules of Thumb

  1. Solve every obstacle. Not most. Every. One.
  2. Premium price = premium product. People judge value by price.
  3. Trim ruthlessly. Cut anything below 8/10 value.
  4. Stack, don't simplify. Break the offer into named components.
  5. Validate market first. Don't build for a fantasy.
  6. Names sell. Generic = invisible. Specific = irresistible.
  7. Guarantees remove risk. Bigger guarantee = bigger price you can charge.
  8. Show the math. Total value, price, savings. Always.

When This Doesn't Apply

ContextWhy
Pre-validationGet product-market fit first (use mom-test)
Commodity productsHard to differentiate sugar or coffee beans
Low-ticket impulse buysBelow ~$50, simpler offers work better
Regulated industriesCompliance may limit stacking and guarantees
Pure SaaS subscriptionsStacking applies less; focus on outcomes per seat

The Order

  1. Find dream outcome (in their words from mom-test interviews)
  2. List 15+ obstacles (4 categories)
  3. Reverse each into "How to..." solution
  4. Design delivery for each
  5. Score value vs cost
  6. Trim and stack
  7. Name with offer-naming formula
  8. Add guarantees / scarcity / urgency
  9. Present with value-price-savings math

The Test

When prospects see your offer, they should feel:

  • "This solves every problem I have"
  • "There's no way this is only $X"
  • "I'd be stupid to say no"

If they don't, the offer needs more work.

Supporting Files

  • frameworks.md - Detailed step-by-step processes, delivery vehicle dimensions, naming formula (MAGIC), enhancements (guarantees, scarcity, urgency, bonuses)
  • cases.md - Hormozi's gym case study with verification notes, before/after examples
  • examples.md - Bundle naming patterns, one-page offer template, real offer examples
  • integration.md - How offers connect to mom-test (input) and 100m-leads (output); conflicts with monetizing-innovation pricing approaches

平台分布

Codex

33.11%
按下载量换算52

Claude

31.29%
按下载量换算49

Cursor

21.04%
按下载量换算33

Gemini CLI

9.72%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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