Suede-owned signup conversion discipline. An agent skill from JasonColapietro/suede-creator-skills.

MITAuto-check passedMarketing & SEO

Install Suede Signup

skills CLI
$ npx skills add JasonColapietro/suede-creator-skills --skill suede-signup -a claude-code

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

GitHub CLI
$ gh skill install JasonColapietro/suede-creator-skills suede-signup --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/JasonColapietro/suede-creator-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/suede-signup .claude/skills/suede-signup && 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
suede-signup
GitHub stars
127
Token cost
~2.3k tokens
SKILL.md length
1,170 words
Files
5 (incl. references)
Skills in repo
78
Repo updated
First seen
Licence
MIT

At a glance

Suede-owned signup conversion discipline. An agent skill from JasonColapietro/suede-creator-skills.

  • Works in 4 steps: Minimize Required Fields → Show Value Before Asking for Commitment → Reduce Perceived Effort → …
  • Redesigning account creation
  • SKILL.md covers Initial Assessment, Core Principles, Field-by-Field Optimization and Single-Step vs. Multi-Step, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Suede Signup is an agent skill from JasonColapietro/suede-creator-skills. Suede-owned signup conversion discipline. Use when auditing or redesigning account creation, registration, or trial-start flows, including field friction, progressive profiling, identity options, mobile behavior, abandonment, and measurement. NOT FOR: post-signup activation (use suede-onboarding), lead-capture forms (use suede-site-alchemy), or deploying auth and compliance changes without review.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `CARD.md`, `agents/openai.yaml` and `evals/evals.json`).

It sits in Marketing & SEO, covering Lead generation. The repository describes itself as: Open-source AI skills for SEO, AI search visibility, conversion copy, marketing strategy, and business operations. Reusable workflows for Claude Code and Codex, plus code review… The licence is MIT.

When your agent uses it

  • Redesigning account creation
  • Trial-start flows
  • Including field friction
  • Progressive profiling

Example prompts

  • “/suede-signup”

Workflow steps

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

  1. Minimize Required Fields
  2. Show Value Before Asking for Commitment
  3. Reduce Perceived Effort
  4. Remove Uncertainty

What it can do on your machine

Read from SKILL.md and the folder at commit e5f94d7. 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

Suede Signup loads about 2.3k tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 103 tokens; SKILL.md has 1,170 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~103
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3k

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 JasonColapietro/suede-creator-skills at commit e5f94d7, republished under its MIT licence (© JasonColapietro). 1,170 words, ~2,338 tokens.

Download SKILL.mdSave it as .claude/skills/suede-signup/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
suede-signup
description
Suede-owned signup conversion discipline. Use when auditing or redesigning account creation, registration, or trial-start flows, including field friction, progressive profiling, identity options, mobile behavior, abandonment, and measurement. NOT FOR: post-signup activation (use suede-onboarding), lead-capture forms (use suede-site-alchemy), or deploying auth and compliance changes without review.
metadata.version
2.0.0

Suede Signup Conversion

Suede Signup identifies measurable friction between intent and completed account creation, then turns it into accessible, security-preserving experiments. It optimizes only the registration boundary and hands post-account activation to the Suede onboarding lane.

Initial Assessment

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.

Before providing recommendations, understand:

  1. Flow Type

    • Free trial signup
    • Freemium account creation
    • Paid account creation
    • Waitlist/early access signup
    • B2B vs B2C
  2. Current State

    • How many steps/screens?
    • What fields are required?
    • What's the current completion rate?
    • Where do users drop off?
    • Is there field-level analytics on drop-off, or only funnel totals?
  3. Business Constraints

    • What data is genuinely needed at signup?
    • Are there compliance requirements?
    • What happens immediately after signup?

Core Principles

1. Minimize Required Fields

Every field reduces conversion. For each field, ask:

  • Do we absolutely need this before they can use the product?
  • Can we collect this later through progressive profiling?
  • Can we infer this from other data?

Typical field priority:

  • Essential: Email (or phone), Password
  • Often needed: Name
  • Usually deferrable: Company, Role, Team size, Phone, Address
2. Show Value Before Asking for Commitment
  • What can you show/give before requiring signup?
  • Can they experience the product before creating an account?
  • Reverse the order: value first, signup second
3. Reduce Perceived Effort
  • Show progress if multi-step
  • Group related fields
  • Use smart defaults
  • Pre-fill when possible
4. Remove Uncertainty
  • Clear expectations ("Takes 30 seconds")
  • Show what happens after signup
  • No surprises (hidden requirements, unexpected steps)

Field-by-Field Optimization

Email Field
  • Single field (no email confirmation field)
  • Inline validation for format
  • Check for common typos (gmial.com → gmail.com)
  • Clear error messages
Password Field
  • Show password toggle (eye icon)
  • Show requirements upfront, not after failure
  • Consider passphrase hints for strength
  • Update requirement indicators in real-time

Better password UX:

  • Allow paste (don't disable)
  • Show strength meter instead of rigid rules
  • Consider passwordless options
Name Field
  • Single "Full name" field vs. First/Last split (test this)
  • Only require if immediately used (personalization)
  • Consider making optional
Social Auth Options
  • Place prominently (often higher conversion than email)
  • Show most relevant options for your audience
    • B2C: Google, Apple, Facebook
    • B2B: Google, Microsoft, SSO
  • Clear visual separation from email signup
  • Consider "Sign up with Google" as primary
Phone Number
  • Defer unless essential (SMS verification, calling leads)
  • If required, explain why
  • Use proper input type with country code handling
  • Format as they type
Company/Organization
  • Defer if possible
  • Auto-suggest as they type
  • Infer from email domain when possible
Use Case / Role Questions
  • Defer to suede-onboarding if possible
  • If needed at signup, keep to one question
  • Use progressive disclosure (don't show all options at once)

Single-Step vs. Multi-Step

Single-Step Works When:
  • 3 or fewer fields
  • Simple B2C products
  • High-intent visitors (from ads, waitlist)
Multi-Step Works When:
  • More than 3-4 fields needed
  • Complex B2B products needing segmentation
  • You need to collect different types of info
Multi-Step Best Practices
  • Show progress indicator
  • Lead with easy questions (name, email)
  • Put harder questions later (after psychological commitment)
  • Each step should feel completable in seconds
  • Allow back navigation
  • Save progress (don't lose data on refresh)

Progressive commitment pattern:

  1. Email only (lowest barrier)
  2. Password + name
  3. Customization questions (optional)

Trust and Friction Reduction

At the Form Level
  • "No credit card required" (if true)
  • "Free forever" or "14-day free trial"
  • Privacy note: "We'll never share your email"
  • Security badges if relevant
  • Testimonial near signup form
Error Handling
  • Inline validation (not just on submit)
  • Specific error messages ("Email already registered" + recovery path)
  • Don't clear the form on error
  • Focus on the problem field
Microcopy
  • Placeholder text: Use for examples, not labels
  • Labels: Keep visible (not just placeholders): placeholders disappear when typing, leaving users unsure what they're filling in
  • Help text: Only when needed, placed close to field

Mobile Signup Optimization

  • Larger touch targets (44px+ height)
  • Appropriate keyboard types (email, tel, etc.)
  • Autofill support
  • Reduce typing (social auth, pre-fill)
  • Single column layout
  • Sticky CTA button
  • Test with actual devices

Post-Submit Experience

Success State
  • Clear confirmation
  • Immediate next step
  • If email verification required:
    • Explain what to do
    • Easy resend option
    • Check spam reminder
    • Option to change email if wrong
Show full SKILL.md (464 more words)Show less
Verification Flows
  • Consider delaying verification until necessary
  • Magic link as alternative to password
  • Let users explore while awaiting verification
  • Clear re-engagement if verification stalls

Measurement

Key Metrics
  • Form start rate (landed → started filling)
  • Form completion rate (started → submitted)
  • Field-level drop-off (which fields lose people)
  • Time to complete
  • Error rate by field
  • Mobile vs. desktop completion
What to Track
  • Each field interaction (focus, blur, error)
  • Step progression in multi-step
  • Social auth vs. email signup ratio
  • Time between steps

Output Format

Do not open with what the flow does well. If no finding clears the bar, say so in one sentence and name the single measurement that is missing and would change the verdict.

Rank every finding by its effect on completion rate and return the top 8. If more survive, list the remainder by name in one line so nothing is dropped silently. Cap test hypotheses at 3.

Audit Findings

For each issue found:

  • Issue: What's wrong
  • Impact: The mechanism and the funnel step it affects (form start, field completion, submit, verification). Give a number only when it is labeled modeled and carries the assumption and the measured baseline it was applied to; otherwise omit the number.
  • Fix: Specific recommendation
  • Priority: High/Medium/Low

Organized by:

  1. Quick wins (same-day fixes)
  2. High-impact changes (week-level effort)
  3. Test hypotheses (things to A/B test, at most 3)
Form Redesign (if requested)
  • Recommended field set with rationale
  • Field order
  • Copy for labels, placeholders, buttons, errors
  • Visual layout suggestions

Common Signup Flow Patterns

B2B SaaS Trial
  1. Email + Password (or Google auth)
  2. Name + Company (optional: role)
  3. → Onboarding flow
B2C App
  1. Google/Apple auth OR Email
  2. → Product experience
  3. Profile completion later
Waitlist/Early Access
  1. Email only
  2. Optional: Role/use case question
  3. → Waitlist confirmation
E-commerce Account
  1. Guest checkout as default
  2. Account creation optional post-purchase
  3. OR Social auth with single click

Experiment Ideas

When producing test hypotheses, draw them from four families:

  • Form design (step count, field set, layout, auth options)
  • Copy and messaging (headline, CTA text, microcopy, trust elements)
  • Trial and commitment (card requirement, trial length, verification friction)
  • Post-submit (next-step messaging, instant access, auto-login)

For the full candidate menu inside each family, read references/experiments.md before writing the test hypotheses in Output Format.


Boundaries

  • Do not deploy signup or authentication changes, remove security, consent, age, identity, or legal controls, or alter stored user data without owner review.
  • Do not use deceptive defaults, forced consent, hidden costs, or inaccessible friction reduction.
  • Do not claim conversion lift without a current baseline and completed experiment; keep personal data out of examples and diagnostic output.

Routing

  • Use suede-onboarding for activation after account creation.
  • Use suede-site-alchemy for lead-capture and non-account forms.
  • Use suede-ab-testing to design and evaluate signup experiments.
  • Use suede-analytics to instrument funnel stages and read outcomes.

© JasonColapietro, 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 4 other files (references) in skills/suede-signup of JasonColapietro/suede-creator-skills.

  • SKILL.md
  • CARD.md
  • agents/openai.yaml
  • evals/evals.json
  • references/experiments.md

Open the folder on GitHubat commit e5f94d7

Compare with similar skills

Suede Signup 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.

Suede Signup compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Suede Signup this skillJasonColapietro/suede-creator-skills127—~2.3kAutomated safety check: PassMIT
Find Leadseracle/OpenOutreach3.2k—~4.6kAutomated safety check: PassGPL-3.0
100m Leadsgetagentseal/founder-playbook729—~2.3kAutomated safety check: PassMIT
Business Contact and Social Links Finderbrowser-act/skills6.1k1 repos~1.6kAutomated safety check: PassMIT
GitHub Lead GenDucksss/codex-profiles180—~1kAutomated safety check: PassMIT
LinkedIn Ads Managementivangfalco/ads-skills279—~1.7kAutomated safety check: PassCustom licence

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Categories

Questions about Suede Signup

What does Suede Signup do?

Suede-owned signup conversion discipline. An agent skill from JasonColapietro/suede-creator-skills. Suede Signup is an agent skill from JasonColapietro/suede-creator-skills. Suede-owned signup conversion discipline.

When should I use Suede Signup?

Suede Signup fits situations like: redesigning account creation; trial-start flows; including field friction; progressive profiling.

How do I install Suede Signup in Claude Code?

Run `npx skills add JasonColapietro/suede-creator-skills --skill suede-signup -a claude-code`. Or copy the skill folder (skills/suede-signup in JasonColapietro/suede-creator-skills) into .claude/skills/suede-signup in your project. Claude Code loads it when a task matches its description.

How do I install Suede Signup in Codex?

Run `npx skills add JasonColapietro/suede-creator-skills --skill suede-signup -a codex`. Or copy the skill folder (skills/suede-signup in JasonColapietro/suede-creator-skills) into .agents/skills/suede-signup in your project. Codex loads it when a task matches its description.

Can I use Suede Signup 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 JasonColapietro/suede-creator-skills --skill suede-signup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/suede-signup, .gemini/skills/suede-signup, .github/skills/suede-signup and .opencode/skills/suede-signup in your project.

What does Suede Signup need to run?

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

Does Suede Signup 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 Suede Signup 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 Suede Signup use?

Suede Signup 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 Suede Signup use?

About 2.3k 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 636 tokens, read only when the agent opens those files.

What are the alternatives to Suede Signup?

Skills that share tags, products or a category with Suede Signup: Find Leads (eracle/OpenOutreach, 3.2k stars), 100m Leads (getagentseal/founder-playbook, 729 stars), Business Contact and Social Links Finder (browser-act/skills, 6.1k stars) and GitHub Lead Gen (Ducksss/codex-profiles, 180 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Suede Signup?

JasonColapietro (a GitHub user) maintains it in JasonColapietro/suede-creator-skills, which has 127 GitHub stars. The repository holds 78 skills in this directory. The repository was last updated on October 10, 2026.

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