Agent skill · data analytics · onewave-ai
competitor-intel-agent
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.
Why this skill is useful
Provides a structured approach to competitor analysis with specific protocols and templates that the AI wouldn't reliably generate on its own.
What it needs
About 1k tokens when loaded. Last updated 2026-07-15. 242 stars on the source repository.
What this skill does
Competitor Intelligence Agent 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. Contents references/directory-structure.md -- tracking directory layout, config.yaml, and usage-history.json templates references/monitoring-dimensions.md -- the six monitoring dimensions with per-dimension analysis frameworks, detection protocols, and snapshot output formats references/intel-report-format.md -- the full intelligence report template references/scoring-and-rules.md -- change-detection scoring, trend protocol, data-quality rules, execution rules, quick commands Workflow 1. Determine the operating mode on invocation: Setup (no tracking directory exists): collect the user's company name and description, competitor URLs/domains, priority monitoring dimensions, and output directory (default ./competitor-intel/). Create the directory structure and config.yaml. See references/directory-structure.md. Monitoring run (tracking directory exists): proceed to steps 2-7. Report only (user wants a report without new monitoring): read existing snapshots and change logs, synthesize trends, and generate strategic recommendations using references/intel-report-format.md. 2. Read config.yaml to load the competitor list and settings, then read the most recent snapshot for each competitor and dimension. 3. Execute monitoring across all configured dimensions. Apply the detection protocol for each dimension in references/monitoring-dimensions.md. 4. Compare new data against previous snapshots. Score every change for magnitude per references/scoring-and-rules.md; flag changes rated 4-5 as immediate alerts. 5. Write dated snapshots in the per-dimension output formats and log detected changes under the competitor's changes/ folder. 6. Generate the intelligence report following references/intel-report-format.md. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills onewave-ai/competitor-intel-agent