Agent skill

Value Ladder Architect

by Affitor in Affitor/affiliate-skills

Design the complete free-to-premium value ladder for affiliate promotions.

MITAuto-check passedMarketing & SEO

Install Value Ladder Architect

skills CLI
$ npx skills add Affitor/affiliate-skills --skill value-ladder-architect -a claude-code

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

GitHub CLI
$ gh skill install Affitor/affiliate-skills value-ladder-architect --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/Affitor/affiliate-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/landing/value-ladder-architect .claude/skills/value-ladder-architect && 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
value-ladder-architect
GitHub stars
700
Token cost
~2.5k tokens
SKILL.md length
871 words
Files
1
Skills in repo
50
Repo updated
First seen
Licence
MIT

At a glance

Design the complete free-to-premium value ladder for affiliate promotions.

  • Works in 6 steps: Gather Context → Design the Ladder → Map the Page Sequence → …
  • Customer journey
  • SKILL.md covers Stage, When to Use, Input Schema and Workflow, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Value Ladder Architect is an agent skill from Affitor/affiliate-skills. Design the complete free-to-premium value ladder for affiliate promotions. Triggers on: "value ladder", "customer journey", "upsell path", "ascension model", "free to paid funnel", "tripwire offer", "upsell strategy", "downsell", "product ladder", "price ladder", "customer ascension", "funnel architecture", "map my funnel", "design my funnel stages", "monetization path".

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent

It sits in Marketing & SEO, covering Customer journey mapping and Influencer and creator marketing. The repository describes itself as: 50 AI agent skills for affiliate marketing. Research trending content, write data-backed posts, generate infographics, build landing pages, deploy — full flywheel with social… The licence is MIT.

When your agent uses it

  • Customer journey
  • Ascension model
  • Free to paid funnel
  • Upsell strategy

Example prompts

  • “value ladder”
  • “customer journey”
  • “upsell path”
  • “/value-ladder-architect”

Requirements

  • Compatibility (from SKILL.md): Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent

Workflow steps

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

  1. Gather Context
  2. Design the Ladder
  3. Map the Page Sequence
  4. Design Transition Triggers
  5. Output
  6. Self-Validation

What it can do on your machine

Read from SKILL.md and the folder at commit e43bfae. 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 (its code samples are yaml).

    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.

  • Compatibility

    Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent

    From compatibility in the SKILL.md frontmatter.

Context cost

Value Ladder Architect loads about 2.5k tokens when it runs. Until then it costs about 99 tokens; SKILL.md has 871 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~99
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k

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 Affitor/affiliate-skills at commit e43bfae, republished under its MIT licence (© Affitor). 871 words, ~2,498 tokens.

Download SKILL.mdSave it as .claude/skills/value-ladder-architect/SKILL.md (or your agent's skills folder).
name
value-ladder-architect
description
Design the complete free-to-premium value ladder for affiliate promotions. Triggers on: "value ladder", "customer journey", "upsell path", "ascension model", "free to paid funnel", "tripwire offer", "upsell strategy", "downsell", "product ladder", "price ladder", "customer ascension", "funnel architecture", "map my funnel", "design my funnel stages", "monetization path".
compatibility
Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent
license
MIT
version
1.0.0
tags
affiliate-marketing, landing-pages, conversion, offers, value-ladder, pricing
metadata.author
affitor
metadata.version
1.0
metadata.stage
S4-Landing

Value Ladder Architect

Design the complete free → tripwire → core → upsell path for affiliate promotions. Maps the entire customer ascension journey, where each step delivers standalone value while naturally leading to the next. The value ladder IS the page sequence: squeeze → bridge → sales → upsell.

Stage

S4: Landing — The value ladder defines the sequence of pages and offers. Each rung is a landing page, email, or content piece that converts the visitor to the next level.

When to Use

  • User wants to map the entire customer journey, not just one landing page
  • User asks about upsells, downsells, tripwires, or funnel stages
  • User wants to maximize lifetime value from affiliate promotions
  • User says "value ladder", "customer journey", "ascension", "funnel architecture"
  • After running grand-slam-offer to design the core offer and wanting to expand
  • User promotes a product with multiple tiers (free, pro, enterprise)

Input Schema

yaml
product:                      # REQUIRED
  name: string                # Product name
  pricing_tiers: object[]     # Available pricing tiers
    - name: string            # e.g., "Free", "Pro", "Enterprise"
      price: string           # e.g., "$0", "$49/mo", "$199/mo"
      features: string[]      # Key features at this tier
  reward_value: string        # Your commission
  reward_type: string         # "recurring" | "one-time" | "tiered"
  url: string                 # Affiliate link

your_assets: string[]         # OPTIONAL — content/resources you already have
                              # e.g., ["blog", "email list", "YouTube channel", "templates"]
                              # Default: ["blog"]

goal: string                  # OPTIONAL — "first_commission" | "maximize_ltv" | "build_list"
                              # Default: "first_commission"

Chaining from S4 grand-slam-offer: Use offer_stack to position the core offer in the ladder. Chaining from S4 bonus-stack-builder: Use bonus_stack to populate tripwire and bonus tiers.

Workflow

Step 1: Gather Context
  1. Map the product's pricing tiers and commission structure
  2. Identify user's existing assets (blog, list, social following)
  3. Determine goal: first commission (simple ladder) vs maximize LTV (complex ladder)
Step 2: Design the Ladder

Read shared/references/offer-frameworks.md for the Value Ladder framework.

Map each rung:

Rung 0: FREE (Awareness)

  • What: Blog post, social content, free tool, lead magnet
  • Goal: Build trust, capture email, demonstrate expertise
  • Skills used: S2 Content, S3 Blog
  • Conversion to next rung: Lead magnet opt-in or email capture

Rung 1: TRIPWIRE ($1-$49, impulse buy)

  • What: Your low-cost asset (template pack, mini-course, audit)
  • Goal: Convert from reader to buyer, get email if not captured
  • Skills used: bonus-stack-builder for asset ideas, squeeze-page-builder for page
  • Conversion to next rung: Email sequence recommending the core product

Rung 2: CORE (main affiliate product)

  • What: The affiliate product at its most popular tier
  • Goal: Primary commission — solve their main problem
  • Skills used: grand-slam-offer, landing-page-creator
  • Conversion to next rung: Product usage → ready for premium tier

Rung 3: UPSELL (premium tier or complementary product)

  • What: Higher tier of same product, or complementary affiliate product
  • Goal: Maximize lifetime value, earn larger commission
  • Skills used: landing-page-creator (comparison), email-drip-sequence
  • Conversion: Ongoing value through content → repeat customer
Step 3: Map the Page Sequence

For each rung, specify:

  • Page type (blog post, squeeze page, bridge page, landing page, email)
  • Traffic source (organic, social, email, paid)
  • Affiliate skill to build it
  • Conversion mechanism (CTA, email opt-in, checkout)
  • Expected conversion rate benchmark
Step 4: Design Transition Triggers

Define what moves a person from one rung to the next:

  • Rung 0→1: Downloaded lead magnet → email sequence pitching tripwire
  • Rung 1→2: Purchased tripwire → immediate upsell page OR email sequence
  • Rung 2→3: Used product for X days → email about premium features
Step 5: Output

Present the complete value ladder with implementation roadmap.

Step 6: Self-Validation
  • Each rung delivers standalone value (P4 principle)
  • Transitions feel natural, not forced
  • The affiliate product is the CORE (Rung 2), not the upsell
  • Free content (Rung 0) is genuinely helpful, not just a teaser
  • Implementation order is realistic (start simple, add rungs over time)
  • FTC disclosure at every rung with affiliate links
Show full SKILL.md (347 more words)Show less

Output Schema

yaml
output_schema_version: "1.0.0"
value_ladder:
  product_name: string
  total_rungs: number
  rungs:
    - level: number           # 0, 1, 2, 3
      name: string            # "Free", "Tripwire", "Core", "Upsell"
      offer: string           # What they get
      price: string           # Price point
      page_type: string       # "blog" | "squeeze" | "bridge" | "landing" | "email"
      skill_to_build: string  # Which affiliate skill creates this page
      conversion_to_next: string  # How they move to next rung
      estimated_conversion: string # Benchmark conversion rate

  implementation_order: string[]  # Which rungs to build first
  email_sequences: object[]      # Email sequences connecting rungs

chain_metadata:
  skill_slug: "value-ladder-architect"
  stage: "landing"
  timestamp: string
  suggested_next:
    - "squeeze-page-builder"
    - "landing-page-creator"
    - "email-drip-sequence"
    - "funnel-planner"

Output Format

## Value Ladder: [Product Name]

### Ladder Overview

[Visual ladder diagram using ASCII]


### Rung 0: FREE — [Offer Name]
- **What:** [specific content/resource]
- **Where:** [blog post / social / lead magnet]
- **Traffic:** [organic / social / paid]
- **Build with:** [skill name]
- **→ Next:** [transition trigger to Rung 1]
- **Benchmark:** [expected conversion %]

### Rung 1: TRIPWIRE — [Offer Name] ($XX)
[same structure]

### Rung 2: CORE — [Product Name] ($XX/mo)
[same structure]

### Rung 3: UPSELL — [Offer Name] ($XX/mo)
[same structure]

### Implementation Roadmap
1. **Week 1:** Build Rung 2 (core landing page) — start earning immediately
2. **Week 2:** Build Rung 0 (blog content driving traffic)
3. **Week 3:** Build Rung 1 (tripwire to capture emails)
4. **Week 4+:** Build Rung 3 (upsell for max LTV)

### Email Sequences
- **Rung 0→1:** [X emails over Y days] — [theme]
- **Rung 1→2:** [X emails over Y days] — [theme]
- **Rung 2→3:** [X emails over Y days] — [theme]

Error Handling

  • No product provided: "I need a product to design a value ladder for. Run affiliate-program-search or tell me the product."
  • Product has only one pricing tier: Design ladder with Rung 0 (free content), Rung 1 (your tripwire), Rung 2 (the product). Note complementary products for Rung 3.
  • User has no existing assets: Start with Rung 2 only (direct landing page). Build Rung 0 and 1 over time. "Start earning first, then build the ladder."
  • Product is one-time payment: Focus ladder on complementary recurring products for Rung 3 to build ongoing income.

Examples

Example 1: "Design a value ladder for HeyGen" → Free: "AI Video for Business" blog series → Tripwire: $7 "50 AI Video Script Templates" → Core: HeyGen Pro ($48/mo, 30% recurring) → Upsell: HeyGen Enterprise + your premium implementation package.

Example 2: "I have a blog and email list, design my Semrush funnel" → Free: SEO tutorial blog posts → Tripwire: $19 "Complete SEO Audit Template Kit" → Core: Semrush Pro ($129/mo, $200 bounty) → Upsell: Semrush Business + monthly SEO coaching.

Example 3: "Map my funnel" (after grand-slam-offer + bonus-stack) → Pick up offer and bonuses from chain context. Place bonuses as tripwire (Rung 1), core offer as Rung 2, design complementary upsell for Rung 3.

Flywheel Connections

Feeds Into
  • squeeze-page-builder (S4) — Rung 0/1 page specs
  • landing-page-creator (S4) — Rung 2/3 page specs
  • email-drip-sequence (S5) — transition email sequences between rungs
  • funnel-planner (S8) — value ladder informs the week-by-week execution plan
Fed By
  • grand-slam-offer (S4) — core offer positioning for Rung 2
  • bonus-stack-builder (S4) — bonuses for tripwire and core rungs
  • affiliate-program-search (S1) — product and pricing data
Feedback Loop
  • conversion-tracker (S6) measures conversion rates between rungs → identify bottleneck rungs and optimize

Quality Gate

Before delivering output, verify:

  1. Would I share this on MY personal social?
  2. Contains specific, surprising detail? (not generic)
  3. Respects reader's intelligence?
  4. Remarkable enough to share? (Purple Cow test)
  5. Irresistible offer framing? (each rung feels like a natural step)

Any NO → rewrite before delivering.

References

  • shared/references/offer-frameworks.md — Value Ladder framework, pricing psychology
  • shared/references/ftc-compliance.md — FTC disclosure at every rung
  • shared/references/affiliate-glossary.md — Terminology
  • shared/references/flywheel-connections.md — Master connection map

© Affitor, 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 skills/landing/value-ladder-architect of Affitor/affiliate-skills.

Open the folder on GitHubat commit e43bfae

Compare with similar skills

Value Ladder Architect 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.

Value Ladder Architect compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Value Ladder Architect this skillAffitor/affiliate-skills700—~2.5kAutomated safety check: PassMIT
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Narrative Baseline Mapperaaron-he-zhu/aaron-marketing-skills2.9k—~3kAutomated safety check: PassApache-2.0
Monetization Funnelvivy-yi/xiaohongshu-skills478—~274Automated safety check: PassNone
Audience ResearchScrapeCreators/social-media-research-skills3.4k—~635Automated safety check: NotesMIT
Influencer Discoverytigerless-labs/influencer-discovery212—~2.5kAutomated safety check: NotesNone

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Questions about Value Ladder Architect

What does Value Ladder Architect do?

Design the complete free-to-premium value ladder for affiliate promotions. Value Ladder Architect is an agent skill from Affitor/affiliate-skills. Design the complete free-to-premium value ladder for affiliate promotions.

When should I use Value Ladder Architect?

Value Ladder Architect fits situations like: customer journey; ascension model; free to paid funnel; upsell strategy.

How do I install Value Ladder Architect in Claude Code?

Run `npx skills add Affitor/affiliate-skills --skill value-ladder-architect -a claude-code`. Or copy the skill folder (skills/landing/value-ladder-architect in Affitor/affiliate-skills) into .claude/skills/value-ladder-architect in your project. Claude Code loads it when a task matches its description.

How do I install Value Ladder Architect in Codex?

Run `npx skills add Affitor/affiliate-skills --skill value-ladder-architect -a codex`. Or copy the skill folder (skills/landing/value-ladder-architect in Affitor/affiliate-skills) into .agents/skills/value-ladder-architect in your project. Codex loads it when a task matches its description.

Can I use Value Ladder Architect 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 Affitor/affiliate-skills --skill value-ladder-architect -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/value-ladder-architect, .gemini/skills/value-ladder-architect, .github/skills/value-ladder-architect and .opencode/skills/value-ladder-architect in your project.

What does Value Ladder Architect need to run?

SKILL.md names no scripts, command-line tools or credentials: Value Ladder Architect is instructions for the agent only. Compatibility (from SKILL.md): Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent.

Does Value Ladder Architect 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 Value Ladder Architect 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 Value Ladder Architect use?

Value Ladder Architect 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 Value Ladder Architect use?

About 2.5k tokens (SKILL.md is roughly 10k 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 Value Ladder Architect?

Skills that share tags, products or a category with Value Ladder Architect: Social Quality Auditor (aaron-he-zhu/aaron-marketing-skills, 2.9k stars), Narrative Baseline Mapper (aaron-he-zhu/aaron-marketing-skills, 2.9k stars), Monetization Funnel (vivy-yi/xiaohongshu-skills, 478 stars) and Audience Research (ScrapeCreators/social-media-research-skills, 3.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Value Ladder Architect?

Affitor (a GitHub organization) maintains it in Affitor/affiliate-skills, which has 700 GitHub stars. The repository holds 50 skills in this directory. The repository was last updated on September 15, 2026.

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