AB cm-linkedin-profile-optimizer
Audit and rewrite LinkedIn profiles for recruiter visibility, inbound leads, and category authority. Diagnoses headline, About, Experience, Skills, Featured, banner, and activity feed against keyword density, SSI signals, and recruiter Boolean searches. Produces a rewritten profile, a 30-day activity playbook, and a recommendation outreach plan. Use when asked to optimize a LinkedIn profile, rewrite a LinkedIn headline, fix LinkedIn About section, get more recruiter messages, attract inbound LinkedIn leads, improve SSI score, rank in LinkedIn search, or build personal brand on LinkedIn. Triggers on "linkedin profile", "linkedin headline", "linkedin about", "linkedin bio", "linkedin optimization", "linkedin SEO", "recruiter search", "SSI score", "social selling index", "personal brand linkedin", "linkedin keywords", "linkedin rewrite".
As a process B 76/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 6361 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 76/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 11 mutating operations with no state check
- 70When it triggers. States when to use, but not when not to
- 70Failures and branches. 4 branches
- 70Execution cost. Instruction body is 6361 tokens
- 100Tools and files. No external tools needed
- 100Steps. 73 steps
- 100Result and completion. Output format and completion criterion are stated
- 100Consistency. Name and required fields are in place
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 846: 120–800 characters recommended
- +1No license
- +2Single-language instructions
- +5Description quotes 12 example trigger phrases
- +4Structure: 19 headings
- +3Step-by-step instructions: 73 items
- +3Output format is stated explicitly
- +4Has examples (8 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.