Repository

jinggreen15/ai-design-team agent skills

Every skill in the jinggreen15/ai-design-team repository on GitHub, ranked by score, with the commands to install them.
skill
1
GitHub stars
194

GitHub description: “A multi-role AI design team skill for research, planning, scripting, design, and content production.”

Stars
194 (46 forks)
Licence
No licence
Last push
Mar 2026
Created
Mar 2026

Install all skills

skills CLI (any agent)
npx skills add jinggreen15/ai-design-team

Add --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).

Skills in jinggreen15/ai-design-team, ranked

Skills in jinggreen15/ai-design-team, ranked
#SkillRepositoryStarsUsed inTokensAuto-checkLicenceUpdated
1

Coordinates nine creative roles, from brief analyst to project manager, so a brand, content or design task reaches the right specialist in a sensible order.

jinggreen15/ai-design-team194—~614Automated safety check: PassNo licence6 mo ago

Questions, answered from the data.

What is the best skill in jinggreen15/ai-design-team?

AI Design Team from jinggreen15/ai-design-team ranks first of the 1 skills in jinggreen15/ai-design-team listed here, with the highest score: its repository has 194 GitHub stars, its SKILL.md loads about 614 tokens and it passes the automated safety check with no findings.

Are the skills in jinggreen15/ai-design-team official?

None yet. All 1 skills in jinggreen15/ai-design-team listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.

How do I install all skills from jinggreen15/ai-design-team?

Run npx skills add jinggreen15/ai-design-team in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.

How are these skills ranked?

By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.