market-research

This Skill extracts structured market intelligence from meeting transcripts and PDFs by parsing source documents into six analytical dimensions. It generates a reproducible intelligence artifact saved in the intelligence/ directory, complete with YAML frontmatter metadata and a structured Markdown body.

Structuring meeting notes into actionable market insights involves converting raw text exports into standardized files with YAML frontmatter. The output captures six intelligence dimensions and specifically generates a 'Strategic Implications' section to deliver actionable strategy guidance from the source material.

You can extract competitive landscape data from Slack exports and text notes by processing them through this data-extraction workflow. It parses raw Slack exports and text notes to identify competitive landscape intelligence, yielding a standardized Markdown file with metadata fields like source type and domains.

This market research tool works with unstructured PDF and transcript sources by applying advanced data-extraction logic to parse raw materials. It outputs standardized intelligence files featuring metadata fields like confidence levels, participants, and summary, ensuring unstructured inputs yield reproducible artifacts.

Standardizing market research templates from diverse data sources is achieved by generating YAML frontmatter-based intelligence files. The Skill uses optional references to enrich outputs and applies consistent formatting templates, resulting in uniform intelligence artifacts regardless of the original source format.

The primary limitation of extracting industry insights from text notes is that output quality depends heavily on source clarity. The Skill generates a confidence metadata field to indicate extraction certainty, but highly fragmented text notes may limit the accuracy of the extracted technology signals and strategic implications.