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ads-linkedin

LinkedIn Ads deep analysis for B2B advertising. Evaluates 27 checks across technical setup, audience targeting, creative quality, lead gen forms, and bidding strategy. Includes Thought Leader Ads, ABM, predictive audiences, and the Oct 2025 Campaign Groups→Campaigns→Ad Sets terminology change. Use when user says LinkedIn Ads, B2B ads, sponsored content, lead gen forms, InMail, ABM ads, Thought Leader Ads, predictive audiences, B2B paid, or LinkedIn campaign.

60

Quality

71%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/ads-linkedin/SKILL.md
SKILL.md
Quality
Evals
Security

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 an excellent skill description that hits all the marks. It provides specific capabilities (27 checks across named categories), includes platform-specific features and terminology updates, and has a comprehensive 'Use when' clause with natural trigger terms covering many variations a user might say. The description is concise yet information-dense, and its narrow focus on LinkedIn Ads B2B analysis makes it highly distinctive.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions and features: '27 checks across technical setup, audience targeting, creative quality, lead gen forms, and bidding strategy' plus specific features like 'Thought Leader Ads, ABM, predictive audiences' and the terminology change. Very detailed.

3 / 3

Completeness

Clearly answers both 'what' (deep analysis evaluating 27 checks across multiple dimensions) and 'when' (explicit 'Use when user says...' clause with comprehensive trigger terms).

3 / 3

Trigger Term Quality

Excellent coverage of natural trigger terms users would say: 'LinkedIn Ads, B2B ads, sponsored content, lead gen forms, InMail, ABM ads, Thought Leader Ads, predictive audiences, B2B paid, LinkedIn campaign.' These are all terms a user would naturally use.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive niche focused specifically on LinkedIn Ads and B2B advertising. The specific platform (LinkedIn), ad types (Thought Leader Ads, InMail), and B2B focus make it very unlikely to conflict with other advertising or marketing skills.

3 / 3

Total

12

/

12

Passed

Implementation

42%

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

This skill provides a comprehensive LinkedIn Ads audit framework with specific check IDs, concrete benchmarks, and a clear output format, which are strong points. However, it suffers from reliance on missing reference files that undermine its standalone usability, some redundancy between inline benchmarks and referenced files, and a lack of validation checkpoints in the workflow. The content would benefit from either including the referenced files or being self-contained.

Suggestions

Either provide the referenced bundle files (linkedin-audit.md, benchmarks.md, scoring-system.md) or make the SKILL.md self-contained with the full 27-check audit and scoring methodology inline.

Add validation checkpoints to the workflow: e.g., 'Verify all 27 checks have a PASS/WARNING/FAIL status before calculating the Health Score' and 'If data is missing for a check, mark as UNABLE_TO_ASSESS and note in report.'

Remove redundant benchmark data that appears both inline and presumably in the referenced benchmarks.md — decide on one canonical location.

Trim explanatory context Claude doesn't need (e.g., what TLAs are, what ABM stands for) and focus on the decision rules and thresholds.

DimensionReasoningScore

Conciseness

The skill is mostly efficient with good use of tables and structured lists, but includes some unnecessary context Claude already knows (e.g., explaining what Thought Leader Ads are, what ABM stands for). The Thought Leader Ads section repeats benchmark data already listed elsewhere. Some explanatory sentences like 'Thought Leader Ads use employee/executive personal posts as sponsored content' add little value for Claude.

2 / 3

Actionability

The skill provides concrete check IDs, specific thresholds, and benchmark numbers which are highly actionable. However, the process section relies on reading external reference files (linkedin-audit.md, benchmarks.md, scoring-system.md) that are not provided in the bundle, making the actual execution incomplete. There are no executable code examples or specific commands for data collection or score calculation.

2 / 3

Workflow Clarity

The 7-step process is clearly sequenced and the output format is well-defined. However, there are no validation checkpoints — no guidance on what to do if reference files are missing, if data is incomplete, or how to handle edge cases like accounts with no TLA history. For a 27-check audit involving scoring calculations, the absence of a verify/validate step caps this at 2.

2 / 3

Progressive Disclosure

The skill references three external files (linkedin-audit.md, benchmarks.md, scoring-system.md) that are not provided in the bundle, making the skill incomplete and unexecutable on its own. Meanwhile, substantial benchmark and threshold data is inlined that partially duplicates what those reference files presumably contain, creating confusion about what lives where. The structure is a monolithic single file with no clear separation between overview and detail.

1 / 3

Total

7

/

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.

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
AgriciDaniel/claude-ads
Reviewed

Table of Contents

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