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closed-loop-analytics-upgrade

Upgrade marketing, content, SEO/AEO/GEO, and revenue skills so changes are judged by platform analytics instead of vibes. Use when applying closed-loop learning to X, YouTube, SEO, AEO/GEO, outbound, paid creative, or revenue workflows.

70

Quality

86%

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SKILL.md
Quality
Evals
Security

Quality

Content

88%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.

A tightly written, well-structured instructional skill with a clear closed-loop workflow, explicit validation checkpoints, and a copy-paste output template. Main gap is the absence of executable analytics-pull commands and any reference-file split for the per-surface metric catalogs.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence: tight bulleted metric lists, punchy rules ("Manual opinions are useful. Platform truth wins."), and no padding explaining concepts Claude already knows, matching the lean-and-efficient anchor 5; the only editorial line ("That last one is harsh but spiritually important") is brief and earns its place.

5 / 5

Actionability

Concrete, actionable guidance throughout—enumerated per-surface metrics, required readback fields, explicit promotion criteria, and a copy-paste output template—but it names source systems (GSC, GA4, Ahrefs, HubSpot, Gong, Instantly/Smartlead) without executable pull commands, leaving minor gaps versus the fully executable anchor 5.

4 / 5

Workflow Clarity

The 5-step Core pattern (Input → AI action → Output → Judgment → Self-improvement) is clearly sequenced with an explicit validation checkpoint ("promote only if it beats baseline") and a feedback loop (promote / keep testing / rollback / unproven), and the readback fields plus safety boundaries act as a checklist, matching anchor 5; the destructive/batch cap does not apply because validation is present.

5 / 5

Progressive Disclosure

Well-organized with clear section headers and a self-contained single-file structure, but no bundle files or one-level-deep references exist and the per-surface metric catalogs are inlined content that could live in separate reference files, fitting anchor 4 rather than the well-split anchor 5.

4 / 5

Total

18

/

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 description that clearly states what the skill does and gives explicit, multi-surface trigger guidance for when to use it. It is specific and well-targeted, with only minor gaps in action concreteness and distinctiveness.

DimensionReasoningScore

Specificity

Names the domain and enumerates many specific surfaces ("marketing, content, SEO/AEO/GEO, and revenue skills"; "X, YouTube, SEO, AEO/GEO, outbound, paid creative"), but the core verbs ("Upgrade", "judged by platform analytics") are abstract rather than discrete concrete actions like extract/fill/merge, so it sits at anchor 4 rather than 5.

4 / 5

Completeness

Explicitly answers both what ("Upgrade... skills so changes are judged by platform analytics instead of vibes") and when ("Use when applying closed-loop learning to X, YouTube, SEO, AEO/GEO, outbound, paid creative, or revenue workflows"), matching the anchor 5 example of concrete trigger phrases for both.

5 / 5

Trigger Term Quality

Strong natural keyword coverage across platforms ("X", "YouTube", "SEO", "AEO/GEO", "outbound", "paid creative", "revenue workflows") that users would actually say, but it lacks synonyms and file extensions, keeping it just below the comprehensive anchor 5.

4 / 5

Distinctiveness Conflict Risk

The closed-loop analytics upgrade niche is mostly distinct with platform-specific triggers, but the broad framing around "marketing/content/revenue skills" leaves minor overlap risk with other marketing-adjacent skills, fitting anchor 4 rather than the minimal-conflict anchor 5.

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
ericosiu/ai-marketing-skills
Reviewed

Table of Contents

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