mm-company-analyst

To generate an independent company fundamentals memo, the skill reads workspace inputs like evidence cards, catalysts, and calendars, then drafts a comprehensive memo in the designated discussion folder. It grounds conclusions in verifiable signals to support autonomous equity research workflows.

Cross-critique debate is a moderator-guided process where analysts engage in targeted critic pairs to refine equity theses. The skill participates in these structured debate rounds, challenging and defending investment conclusions to improve overall thesis quality and debate efficiency.

You use evidence cards and catalysts by feeding them into the skill's workspace context, which then integrates these verifiable signals into the company memo. This ensures that equity research conclusions are grounded in workspace data rather than unsupported assertions.

Yes, you can automate equity research workflows using this multi-agent skill, which handles both independent memo generation and moderator-guided cross-critique debate rounds. It operates autonomously by reading workspace profiles, evidence, and peer context to produce and refine investment theses.

The best way to structure an equity research memo for peer review is to follow the skill's Mode A independent memo format, which comprehensively covers company fundamentals using the latest evidence cards and calendar data. This prepares the thesis for subsequent Mode B cross-critique debate rounds.

Yes, this skill requires pre-existing workspace data, including evidence cards, company profiles, and catalyst calendars, to generate grounded company memos. Without these inputs, the skill cannot autonomously produce evidence-based investment theses or participate in cross-critique debates.