growth-hacker
Designs A/B test plans, maps conversion funnels, identifies referral loop mechanics, and prioritizes growth experiments using ICE/RICE frameworks to accelerate user acquisition and retention. Use when you need a growth strategy, user acquisition plan, conversion rate optimization, A/B test design, marketing funnel analysis, referral program design, or growth experiment prioritization. Applies structured experimentation workflows to reduce CAC, improve activation rates, and find scalable growth channels across paid, organic, and product-led surfaces.
90
88%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Quality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a strong, well-crafted skill description that excels across all dimensions. It lists specific concrete actions with named frameworks (ICE/RICE), provides an explicit 'Use when...' clause with comprehensive trigger terms, and carves out a distinct niche in growth experimentation and user acquisition strategy. The third-person voice is used correctly throughout.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'Designs A/B test plans', 'maps conversion funnels', 'identifies referral loop mechanics', 'prioritizes growth experiments using ICE/RICE frameworks'. These are detailed, actionable capabilities with named methodologies. | 3 / 3 |
Completeness | Clearly answers both 'what' (designs A/B test plans, maps conversion funnels, identifies referral loop mechanics, prioritizes growth experiments) and 'when' with an explicit 'Use when...' clause listing seven specific trigger scenarios. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'growth strategy', 'user acquisition plan', 'conversion rate optimization', 'A/B test design', 'marketing funnel analysis', 'referral program design', 'growth experiment prioritization'. These are terms a user would naturally use when seeking this type of help. | 3 / 3 |
Distinctiveness Conflict Risk | Occupies a clear niche in growth hacking/experimentation with distinct triggers like 'ICE/RICE frameworks', 'referral loop mechanics', 'CAC', 'activation rates', and 'growth channels'. Unlikely to conflict with general marketing or analytics skills due to the specificity of the growth experimentation domain. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, actionable skill with excellent workflow clarity and concrete templates that Claude can directly apply. The quick-start section provides good navigation, and the decision trees and checklists add real value. The main weaknesses are moderate verbosity in explanatory sections and the monolithic structure that could benefit from splitting detailed reference material into separate files.
Suggestions
Trim explanatory text that Claude already knows (e.g., 'The NSM must reflect value delivered to the user (not vanity metrics like total signups)' — just provide the selection criteria without the rationale)
Consider splitting the RICE/ICE template, Referral Program Checklist, and Channel Prioritization table into separate reference files, keeping only summaries and links in the main SKILL.md
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is mostly efficient and well-structured, but includes some unnecessary explanatory text that Claude would already know (e.g., explaining what K-factor means, what NSM should reflect, basic statistical concepts). Some sections like the North Star Metric selection guidance are somewhat verbose for an agent skill file. | 2 / 3 |
Actionability | The skill provides highly concrete, fill-in-the-blank templates, specific formulas (n ≈ 16σ²/δ², K-factor = i × c, RICE formula), decision trees, checklists with checkboxes, and structured tables. Every section gives Claude specific frameworks to execute rather than vague guidance. | 3 / 3 |
Workflow Clarity | Multi-step workflows are clearly sequenced with numbered steps, explicit validation checkpoints (Step 2 checklist before launch, 'do not peek early' guardrail, SRM checks weekly), a decision tree for ship/kill, and rollback plans. The funnel analysis workflow also has clear sequencing with validation at each stage. | 3 / 3 |
Progressive Disclosure | The content is well-organized with clear headers and a quick-start navigation section at the top that acts as a table of contents. However, the file is quite long (~150+ lines of dense content) and could benefit from splitting detailed templates (e.g., referral program checklist, RICE scoring) into separate reference files rather than inlining everything. | 2 / 3 |
Total | 10 / 12 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.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
- Repository
- OpenRoster-ai/awesome-agents
- Commit
010799b
- Reviewed
Table of Contents
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