AC linkedin-company-pages
The LinkedIn company-page (LINKEDIN_PAGES) growth strategy skill -- a separate platform from personal LINKEDIN. Use when someone wants to grow a company/business page, fix low page reach ("our LinkedIn page gets no engagement"), set up employee advocacy, or plan company-page content. In 2026 pages get a tiny share of feed reach, so the page is a credibility hub + paid launchpad (Ads + Thought Leader Ads), NOT the reach engine -- the growth lever is employee advocacy (people, not logos). Uses the HUMAN framework. Reads brand-profile + goals-and-kpis first. The agent strategizes, designs the advocacy program, and drafts page posts + advocacy content; WoopSocial publishes the page's own posts on a schedule; employees post from their OWN profiles (routes to linkedin-growth); first-hour engagement, Ads, and analytics stay human/native. No bait, pods, or bought followers; never fabricates metrics. Distinct from linkedin-growth (personal profile) and linkedin-post-writer (the post craft).
The LinkedIn company-page (LINKEDINPAGES) growth strategy skill -- a separate platform from personal LINKEDIN.
As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 56/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 5 mutating operations with no state check
- 40Result and completion. Does not say what the result is
- 100Tools and files. No external tools needed
- 100Steps. 12 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1705 tokens
- low No test case covers injection arriving through data
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
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 996: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +4Structure: 9 headings
- +3Step-by-step instructions: 12 items
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.