CtrlK
BlogDocsLog inGet started
Tessl Logo

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.

39

Quality

37%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills/skills/signup-flow-cro/SKILL.md

The canonical home for this skill is signup-flow-cro in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

38%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This skill reads more like a comprehensive CRO handbook than a focused skill for Claude. It extensively covers signup optimization concepts that Claude would already know, resulting in significant verbosity without proportional actionability. The content would benefit from dramatic trimming, splitting into reference files, and adding concrete examples (actual copy, HTML snippets, or specific before/after comparisons) rather than listing general best practices.

Suggestions

Cut the content by 50-60%: remove sections that explain basic UX concepts Claude already knows (e.g., 'larger touch targets', 'inline validation', 'don't clear form on error') and focus on the unique decision framework and output format.

Add concrete, copy-paste-ready examples: include actual before/after form copy, specific microcopy templates, or sample audit output rather than abstract guidance like 'test headline variations'.

Split into multiple files: move 'Experiment Ideas' into EXPERIMENTS.md, 'Common Signup Flow Patterns' into PATTERNS.md, and 'Field-by-Field Optimization' into FIELDS.md, keeping SKILL.md as a concise overview with clear references.

Add a validation step to the workflow: after generating recommendations, include a checkpoint to verify recommendations against stated business constraints and compliance requirements before finalizing output.

DimensionReasoningScore

Conciseness

The skill is significantly verbose at ~300+ lines, extensively covering concepts Claude already understands (what email validation is, what a password toggle is, basic UX principles). Many sections like 'Mobile Signup Optimization' and 'Experiment Ideas' list obvious best practices that don't add novel value. The experiment ideas section alone is massive and largely enumerates things any CRO expert would know.

2 / 5

Actionability

The skill provides structured frameworks (audit format, output templates, common patterns) which are somewhat actionable, but lacks concrete executable examples—no code snippets, no specific copy templates with before/after, no actual form HTML/wireframe examples. Guidance remains at the advisory/checklist level rather than copy-paste ready.

3 / 5

Workflow Clarity

The initial assessment section provides a reasonable sequence (understand → analyze → recommend), and the output format section structures deliverables well. However, there's no explicit validation or feedback loop—no step to verify recommendations against data, no checkpoint to confirm constraints before proceeding. The workflow is more of a checklist than a sequenced process with verification.

3 / 5

Progressive Disclosure

Everything is inlined in a single monolithic file with no bundle files. The experiment ideas section, common patterns, and field-by-field optimization could easily be separate reference files. References to related skills exist at the bottom but the content itself is a wall of text that would benefit significantly from being split across files.

2 / 5

Total

10

/

20

Passed

Description

36%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description uses second-person voice ('Your goal') and reads more like a persona prompt than a skill description, failing to articulate concrete actions the skill performs. It lacks a 'Use when...' clause and relies on abstract outcome language rather than specific capabilities. The domain is identifiable but insufficiently differentiated from broader UX or conversion optimization skills.

Suggestions

Replace vague outcome language with concrete actions the skill performs, e.g., 'Audits signup forms for friction points, recommends field reductions, designs progressive disclosure flows, and optimizes email verification steps.'

Add an explicit 'Use when...' clause with natural trigger terms, e.g., 'Use when the user asks about signup flows, registration pages, onboarding forms, sign-up conversion, or user activation.'

Rewrite in third-person voice ('Optimizes signup and registration flows...') instead of second-person ('Your goal is to...').

DimensionReasoningScore

Specificity

Names the domain (signup/registration flows) but actions are vague and abstract — 'reduce friction', 'increase completion rates', and 'set users up for successful activation' are goals/outcomes, not concrete actions the skill performs.

2 / 5

Completeness

Has a vague 'what' (optimizing signup flows) but no explicit 'when' clause or trigger guidance. The description lacks any 'Use when...' statement, which per the rubric should cap completeness at 3, and the 'what' itself is too abstract to reach that level.

2 / 5

Trigger Term Quality

Includes some relevant keywords like 'signup', 'registration flows', and 'activation', but misses common synonyms and natural phrases users might say such as 'onboarding', 'sign-up form', 'user registration', 'conversion', or 'login page'.

3 / 5

Distinctiveness Conflict Risk

Somewhat specific to signup/registration flows, which narrows the domain, but could overlap with general UX optimization skills, conversion rate optimization skills, or onboarding skills.

3 / 5

Total

10

/

20

Passed

Validation

90%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

10

/

11

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.