diegosouzapw/awesome-omni-skills

Signup Flow CRO

Overview

This public intake copy packages plugins/antigravity-awesome-skills-claude/skills/signup-flow-cro from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.

Signup Flow CRO You are an expert in optimizing signup and registration flows. Your goal is to reduce friction, increase completion rates, and set users up for successful activation.

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Initial Assessment, Field-by-Field Optimization, Trust and Friction Reduction, Mobile Signup Optimization, Post-Submit Experience, Measurement.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• This skill is applicable to execute the workflow or actions described in the overview.
• Use when the request clearly matches the imported source intent: You are an expert in optimizing signup and registration flows. Your goal is to reduce friction, increase completion rates, and set users up for successful activation.
• Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
• Use when provenance needs to stay visible in the answer, PR, or review packet.
• Use when copied upstream references, examples, or scripts materially improve the answer.
• Use when the workflow should remain reviewable in the public intake repo before the private enhancer takes over.

Operating Table

Situation	Start here	Why it matters
First-time use	metadata.json	Confirms repository, branch, commit, and imported path through the external_source block before touching the copied workflow
Provenance review	ORIGIN.md	Gives reviewers a plain-language audit trail for the imported source
Workflow execution	SKILL.md	Starts with the smallest copied file that materially changes execution
Supporting context	SKILL.md	Adds the next most relevant copied source file without loading the entire package
Handoff decision	## Related Skills	Helps the operator switch to a stronger native skill when the task drifts

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. 3 or fewer fields
2. Simple B2C products
3. High-intent visitors (from ads, waitlist)
4. More than 3-4 fields needed
5. Complex B2B products needing segmentation
6. You need to collect different types of info
7. Show progress indicator

Imported Workflow Notes

Imported: 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)

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Imported: Initial Assessment

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?

3. Business Constraints

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

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Examples

Example 1: Ask for the upstream workflow directly

Use @signup-flow-cro to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @signup-flow-cro against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @signup-flow-cro for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @signup-flow-cro using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• 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?
• Essential: Email (or phone), Password
• Often needed: Name
• Usually deferrable: Company, Role, Team size, Phone, Address
• What can you show/give before requiring signup?

Imported Operating Notes

Imported: 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)

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Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills-claude/skills/signup-flow-cro, fails to mention provenance, or does not use any copied source files at all. Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task. Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @00-andruia-consultant - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @10-andruia-skill-smith - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

Resource family	What it gives the reviewer	Example path
references	copied reference notes, guides, or background material from upstream	references/n/a
examples	worked examples or reusable prompts copied from upstream	examples/n/a
scripts	upstream helper scripts that change execution or validation	scripts/n/a
agents	routing or delegation notes that are genuinely part of the imported package	agents/n/a
assets	supporting assets or schemas copied from the source package	assets/n/a

Imported Reference Notes

Imported: 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 onboarding if possible
• If needed at signup, keep to one question
• Use progressive disclosure (don't show all options at once)

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Imported: 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: Always visible (not just placeholders)
• Help text: Only when needed, placed close to field

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Imported: 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

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Imported: 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

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

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Imported: 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

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Imported: Output Format

Audit Findings

For each issue found:

• Issue: What's wrong
• Impact: Why it matters (with estimated impact if possible)
• Fix: Specific recommendation
• Priority: High/Medium/Low

Recommended Changes

Organized by:

1. Quick wins (same-day fixes)
2. High-impact changes (week-level effort)
3. Test hypotheses (things to A/B test)

Form Redesign (if requested)

• Recommended field set with rationale
• Field order
• Copy for labels, placeholders, buttons, errors
• Visual layout suggestions

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Imported: 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

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Imported: Experiment Ideas

Form Design Experiments

Layout & Structure

• Single-step vs. multi-step signup flow
• Multi-step with progress bar vs. without
• 1-column vs. 2-column field layout
• Form embedded on page vs. separate signup page
• Horizontal vs. vertical field alignment

Field Optimization

• Reduce to minimum fields (email + password only)
• Add or remove phone number field
• Single "Name" field vs. "First/Last" split
• Add or remove company/organization field
• Test required vs. optional field balance

Authentication Options

• Add SSO options (Google, Microsoft, GitHub, LinkedIn)
• SSO prominent vs. email form prominent
• Test which SSO options resonate (varies by audience)
• SSO-only vs. SSO + email option

Visual Design

• Test button colors and sizes for CTA prominence
• Plain background vs. product-related visuals
• Test form container styling (card vs. minimal)
• Mobile-optimized layout testing

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Copy & Messaging Experiments

Headlines & CTAs

• Test headline variations above signup form
• CTA button text: "Create Account" vs. "Start Free Trial" vs. "Get Started"
• Add clarity around trial length in CTA
• Test value proposition emphasis in form header

Microcopy

• Field labels: minimal vs. descriptive
• Placeholder text optimization
• Error message clarity and tone
• Password requirement display (upfront vs. on error)

Trust Elements

• Add social proof next to signup form
• Test trust badges near form (security, compliance)
• Add "No credit card required" messaging
• Include privacy assurance copy

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Trial & Commitment Experiments

Free Trial Variations

• Credit card required vs. not required for trial
• Test trial length impact (7 vs. 14 vs. 30 days)
• Freemium vs. free trial model
• Trial with limited features vs. full access

Friction Points

• Email verification required vs. delayed vs. removed
• Test CAPTCHA impact on completion
• Terms acceptance checkbox vs. implicit acceptance
• Phone verification for high-value accounts

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Post-Submit Experiments

• Clear next steps messaging after signup
• Instant product access vs. email confirmation first
• Personalized welcome message based on signup data
• Auto-login after signup vs. require login

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Imported: Questions to Ask

If you need more context:

1. What's your current signup completion rate?
2. Do you have field-level analytics on drop-off?
3. What data is absolutely required before they can use the product?
4. Are there compliance or verification requirements?
5. What happens immediately after signup?

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Imported: Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.