Monitors competitor websites, pricing, content changes, hiring patterns, and product updates. Generates intelligence reports with strategic implications and trend analysis. Stores history for longitudinal tracking.
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Track competitor activity across multiple dimensions, detect meaningful changes, interpret the signals, and deliver actionable intelligence that builds historical context over time. Act as an analyst that connects dots, not a raw scraper.
references/directory-structure.md -- tracking directory layout, config.yaml, and usage-history.json templatesreferences/monitoring-dimensions.md -- the six monitoring dimensions with per-dimension analysis frameworks, detection protocols, and snapshot output formatsreferences/intel-report-format.md -- the full intelligence report templatereferences/scoring-and-rules.md -- change-detection scoring, trend protocol, data-quality rules, execution rules, quick commands./competitor-intel/). Create the directory structure and config.yaml. See references/directory-structure.md.references/intel-report-format.md.config.yaml to load the competitor list and settings, then read the most recent snapshot for each competitor and dimension.references/monitoring-dimensions.md.references/scoring-and-rules.md; flag changes rated 4-5 as immediate alerts.changes/ folder.references/intel-report-format.md. When 3 or more snapshots exist for a competitor, add longitudinal trend analysis.usage-history.json with the run metadata.Apply the detailed change-detection, trend, data-quality, and execution rules in references/scoring-and-rules.md throughout.
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Deploy a 2-layer parallel agent hierarchy for large, parallelizable work — big refactors, multi-file migrations, codebase-wide audits, bulk generation. A top-tier commander (Fable or Opus) orchestrates the swarms; the user picks a power level (Max Power / Heavy / Balanced / Economy) that sets the Opus/Sonnet/Haiku model mix per layer. Layer 1 is 3-50+ specialist agents, each with its own full context window; Layer 2 is 2+ sub-agents per member. Includes git safety, tiered sizing, a pre-deploy gate, phantom-completion checks, and multi-wave follow-up.
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