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roas-calculator

Calculates ROAS, CPA, and campaign profitability metrics. Use for analyzing campaign performance, setting targets, or evaluating ad spend efficiency.

Quality

82%

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SKILL.md
Quality
Evals
Security

Quality

Content

71%Weight 40%Scale 1-5

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

The body delivers excellent, immediately executable calculation code with input validation and concrete worked examples, but it is a monolithic single file that inlines benchmarks and advanced material, and it carries off-topic promotional padding in the footer. Trimming the ads and splitting reference material into bundled files would materially improve it.

Suggestions

Remove the promotional 'About this skill' footer and the 'Integration with Other Skills' section referencing skills outside this bundle — they consume context tokens without aiding execution.

Move the Industry Benchmarks tables and Advanced Calculations (LTV:CPA, budget-change projection) into a references/ file (e.g., references/benchmarks.md) linked from a short SKILL.md overview, keeping only the quick calculations inline.

Deduplicate the ROAS interpretation tiers, which currently appear three times (interpret_roas code, example response benchmarks, and emoji bullets) — keep one canonical scale.

DimensionReasoningScore

Conciseness

The code sections are lean and free of concept explanations Claude already knows, but there is padding: a ~10-line promotional footer ('Want this skill (and 40+ more) running on autopilot... Try Synter'), an 'Integration with Other Skills' section pointing at non-existent skills, and ROAS interpretation tiers duplicated across the code, the example response, and the benchmark table. This sits between 'mostly efficient' (4) and 'several padded sections' (2), closer to the midpoint with noticeable trimmable content.

3 / 5

Actionability

Every calculation is a complete, executable Python function with input validation, rounded outputs, and interpretation logic — copy-paste ready — and the 'Example Responses' section models concrete worked cases ('$2,500 spend → 4.0x ROAS', '$50 CPA at 5% CVR → $2.50 max CPC') covering the common asks. This matches the fully-executable anchor 5 rather than anchor 4, which allows for gaps in coverage.

5 / 5

Workflow Clarity

Each calculator is a single unambiguous action with explicit input guards (e.g., 'if ad_spend <= 0', 'if gross_margin_percent <= 0 or gross_margin_percent > 100') acting as validation checkpoints, and the capabilities/sections are clearly delineated. It falls short of anchor 5 because there is no explicit guidance for selecting among the five capabilities or verifying computed results, and no error-recovery flow — these are lookup-style tools rather than a sequenced process.

4 / 5

Progressive Disclosure

The file is well-sectioned (Capabilities, Quick Calculations, Example Responses, Industry Benchmarks, Advanced Calculations) but entirely monolithic at ~255 lines with no bundle files: the benchmark tables, advanced calculations, and example responses are content that could live in separate reference files and is all inlined. This matches anchor 3 ('content that should be separate is inline' with some structure) rather than anchor 4, which expects most content appropriately split across files.

3 / 5

Total

15

/

20

Passed

Description

83%Weight 40%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.

A strong, concise, third-person description that clearly states what the skill computes and when to use it, with natural trigger phrases. Its only weaknesses are un-expanded metric acronyms and slight trigger overlap with adjacent advertising skills.

DimensionReasoningScore

Specificity

The description names concrete calculated outputs — 'Calculates ROAS, CPA, and campaign profitability metrics' — listing several specific capabilities, though it omits break-even analysis, bid guidance, and benchmarking that the body actually covers (minor gaps). It is not the comprehensive anchor 5 because it summarizes rather than enumerating the full capability set, and clearly exceeds anchor 3's '1-2 concrete actions'.

4 / 5

Completeness

It explicitly answers both parts: 'what' via 'Calculates ROAS, CPA, and campaign profitability metrics' and 'when' via the 'Use for analyzing campaign performance, setting targets, or evaluating ad spend efficiency' clause with three concrete trigger scenarios. This matches the anchor 5 pattern of a clear what plus explicit when with concrete trigger phrases, exceeding anchor 4 where the 'when' would be less explicit.

5 / 5

Trigger Term Quality

Phrases like 'analyzing campaign performance', 'setting targets', and 'evaluating ad spend efficiency' are natural user language, alongside the keywords ROAS/CPA. It falls short of anchor 5 because common variations such as 'return on ad spend', 'cost per acquisition', or 'advertising efficiency' are not spelled out.

4 / 5

Distinctiveness Conflict Risk

ROAS/CPA calculation is a distinct niche with metric-specific triggers, giving it a clear identity. Minor overlap risk remains with sibling advertising skills (e.g., bid-optimization for 'setting targets', campaign reporting for 'campaign performance'), which keeps it below anchor 5 but above anchor 3's generic overlap.

4 / 5

Total

17

/

20

Passed

Validation

100%

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

Synter-Media-AI/free-skills

Path

skills/roas-calculator/SKILL.md

Reviewed

Table of Contents

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