ads-linkedin
LinkedIn Ads deep analysis for B2B advertising. Evaluates 25 checks across technical setup, audience targeting, creative quality, lead gen forms, and bidding strategy. Includes Thought Leader Ads, ABM, and predictive audiences. Use when user says LinkedIn Ads, B2B ads, sponsored content, lead gen forms, InMail, or LinkedIn campaign.
82
78%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/ads-linkedin/SKILL.mdQuality
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 skill description that clearly defines its scope (LinkedIn Ads deep analysis), lists specific capabilities (25 checks across 5 domains plus specialized features), and provides explicit trigger guidance with natural user terms. It follows third-person voice throughout and is concise without being vague.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions and domains: 'Evaluates 25 checks across technical setup, audience targeting, creative quality, lead gen forms, and bidding strategy' plus specific features like 'Thought Leader Ads, ABM, and predictive audiences.' | 3 / 3 |
Completeness | Clearly answers both 'what' (deep analysis evaluating 25 checks across multiple dimensions) and 'when' (explicit 'Use when user says...' clause with specific 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, LinkedIn campaign.' These are all terms a user would naturally use when seeking help with LinkedIn advertising. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with a clear niche focused specifically on LinkedIn Ads and B2B advertising. The platform-specific terms (LinkedIn, InMail, Thought Leader Ads, ABM) make it very unlikely to conflict with other ad platform skills or general marketing skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
57%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 well-structured overview of a LinkedIn Ads audit with clear categorization, specific benchmarks, and useful threshold tables. Its main weaknesses are the lack of validation checkpoints in the workflow and reliance on external files for core execution details without providing enough standalone actionability. The content is mostly concise but includes some explanatory text that Claude wouldn't need.
Suggestions
Add validation checkpoints to the workflow, e.g., 'Verify all 25 checks have been evaluated before calculating the Health Score' and 'Confirm Insight Tag data is available before proceeding with technical setup checks'.
Include a concrete example of how to score one check (e.g., L01) end-to-end, showing the data input, evaluation logic, and how it feeds into the weighted score calculation.
Trim the TLA section by removing the explanation of what Thought Leader Ads are and the general benefits—focus only on the evaluation criteria and thresholds.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Generally efficient with tables and structured lists, but some sections like the TLA explanation include context Claude already knows (e.g., explaining what Thought Leader Ads are). The LinkedIn Context table with dates and the TLA assessment section could be tighter. | 2 / 3 |
Actionability | Provides specific check IDs, benchmarks, and thresholds which are concrete, but the actual process relies heavily on external reference files (linkedin-audit.md, benchmarks.md, scoring-system.md) without showing how to calculate scores or execute the audit. No executable code or copy-paste commands are provided for data collection or analysis. | 2 / 3 |
Workflow Clarity | The 7-step process is clearly sequenced, but lacks validation checkpoints. There's no guidance on what to do if data is incomplete, if reference files are missing, or how to handle edge cases. For a multi-step audit process involving scoring calculations, the absence of verification steps (e.g., confirming all 25 checks are evaluated before scoring) is a gap. | 2 / 3 |
Progressive Disclosure | Good structure with clear references to external files (linkedin-audit.md, benchmarks.md, scoring-system.md) that are one level deep and well-signaled. The main skill provides an effective overview with sections organized by audit category, while deferring detailed audit procedures to reference files. | 3 / 3 |
Total | 9 / 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
- AgriciDaniel/claude-ads
- Commit
c2ca51f
- Reviewed
Table of Contents
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