Use a professional poll to prioritize a concrete next step.
v0.2.0
Example draft · Input and output · How to useExample draft
Fictional team can produce one analyst-onboarding module this month.
Question: “Which onboarding task should our first analyst training module cover?” Options: checking data quality; explaining a chart; scoping a request; another task. The draft tied each result to a 30-minute pilot and passed the supplied length constraints. No poll was published and no votes were claimed.
Actual Agent execution on fictional supplied material. No publication or live performance result is claimed. Localized text is a translation of the same run; see references/example.md in the package. This example is retained from v0.1.0; the added capability paths are optional and are not demonstrated by this example.
Your audience and decision question; for a follow-up, an exact poll URL/ID or supplied results.
A poll draft and follow-up plan; matched public results can supply option totals with explicit sample limits.
An Agent that can read the complete Skill folder. Live research also needs a SandBase connection; supplied material can be used without a lookup.
Download and unpack the complete Skill folder, keep its references, and use it with a local Agent that supports Skills.
Use linkedin-poll-plan with my supplied material and scope. Use live lookups only when relevant to the task and within my budget. Deliver: A poll draft and follow-up plan; matched public results can supply option totals with explicit sample limits.