Status basis: github_stars gained 1752 in the last 3d vs 706 in the 3d before (ratio 2.5x, threshold 1.5x)
- Accelerating github_stars gained 1752 in the last 3d vs 706 in the 3d before (ratio 2.5x, threshold 1.5x)
- Accelerating github_stars gained 1687 in the last 3d vs 458 in the 3d before (ratio 3.7x, threshold 1.5x)
- Anomaly daily change 696.0 is 4.1 standard deviations from this entity's own prior mean (176.6±127.7, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating github_stars gained 1185 in the last 3d vs 415 in the 3d before (ratio 2.9x, threshold 1.5x)
- Anomaly daily change 591.0 is 6.1 standard deviations from this entity's own prior mean (148.9±71.9, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating github_stars gained 706 in the last 3d vs 457 in the 3d before (ratio 1.5x, threshold 1.5x)
- Anomaly daily change 400.0 is 10.1 standard deviations from this entity's own prior mean (131.0±26.7, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 25.0 is -4.0 standard deviations from this entity's own prior mean (131.0±26.7, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating github_stars gained 824 in the last 3d vs 305 in the 3d before (ratio 2.7x, threshold 1.5x)
- Anomaly daily change 22.0 is -5.0 standard deviations from this entity's own prior mean (126.2±20.9, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 16.0 is -5.2 standard deviations from this entity's own prior mean (127.3±21.4, baseline excludes this point) — unusual, not necessarily adoption
- first observed Kanon started keeping permanent history for this agent
| Machine-callable | — | unknown | — |
| Open source | 1 | verified | 1 quote(s) |
| Self-hostable | — | unknown | — |
| Bring your own key | — | unknown | — |
| Autonomy level | — | unknown | — |
| Pricing model | — | unknown | — |
| Integrations | cursor,codex | inferred | 1 quote(s) |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
It bridges the gap between AI capabilities and business outcomes, positioning itself as a foundation for AI-driven growth teams.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“Works with Claude Code, OpenAI Codex, Cursor, Windsurf”— description
FAQ
What is marketingskills?
A training platform that teaches AI agents marketing skills like CRO, copywriting, SEO, and growth engineering for real-world performance.
What does marketingskills do?
Train AI agents in commercial skills such as conversion rate optimization, copywriting, and growth strategies.
Why does marketingskills matter?
It bridges the gap between AI capabilities and business outcomes, positioning itself as a foundation for AI-driven growth teams.
Is marketingskills open source?
Yes — marketingskills is open source.
What does marketingskills integrate with?
cursor,codex
How popular is marketingskills?
As tracked by KanonAgent: 2.6k upvotes (first indexed 2026-07-08).
What are the best marketingskills alternatives?
Similar AI agents tracked by KanonAgent: open-design, deer-flow, Agent-Reach, ruflo, career-ops, orca.