objection-mining

To aggregate sales objections into a centralized library, this skill parses the "## Objections Logged" sections from your discovery call notes, classifies the objection type, and appends verbatim quotes to a shared memory repository.

Analyzing objection patterns across a sales territory involves parsing discovery notes, classifying pushback by type, and aggregating counts to surface recurring trends. This process turns scattered feedback into structured, searchable data.

Yes, you can classify sales objections automatically from markdown discovery files. The skill reads the "## Objections Logged" sections in your account files and categorizes each entry by Timing, Budget, Authority, Trust, Fit, or Competition.

Building standardized response templates from logged discovery objections requires aggregating verbatim quotes and analyzing pattern frequencies. The skill uses the centralized memory library to generate consistent response templates and discovery prompts.

You need specific markdown formatting to log new objections for pattern analysis. Discovery notes must include a "## Objections Logged" section within the accounts/*/discovery/*.md directory structure for the parser to recognize and classify the entries.