Repository

renmu2017/Hell-Grind-AIGC-Skill agent skills

Every skill in the renmu2017/Hell-Grind-AIGC-Skill repository on GitHub, ranked by score, with the commands to install them.
skill
1
GitHub stars
230

GitHub description: “A model-agnostic skill for AI image and video creation: prompt design, production tracking, and quality checks. | 模型无关的 AI 图片与视频创作 Skill:提示词设计、制作流程追踪与质量检查。”

Stars
230 (46 forks)
Licence
MIT
Last push
Sep 2026
Created
Aug 2026

Install all skills

skills CLI (any agent)
npx skills add renmu2017/Hell-Grind-AIGC-Skill

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

Skills in renmu2017/Hell-Grind-AIGC-Skill, ranked

Skills in renmu2017/Hell-Grind-AIGC-Skill, ranked
#SkillRepositoryStarsUsed inTokensAuto-checkLicenceUpdated
1

Model-agnostic workflow for AI image and video projects: prompt writing, tracking of assets and shots, continuity checks and diagnosis of failed generations.

renmu2017/Hell-Grind-AIGC-Skill230—~1.8kAutomated safety check: PassMIT17 days ago

Questions, answered from the data.

What is the best skill in renmu2017/Hell-Grind-AIGC-Skill?

AIGC Video Production Workflow from renmu2017/Hell-Grind-AIGC-Skill ranks first of the 1 skills in renmu2017/Hell-Grind-AIGC-Skill listed here, with the highest score: its repository has 230 GitHub stars, its SKILL.md loads about 1.8k tokens and it passes the automated safety check with no findings.

Are the skills in renmu2017/Hell-Grind-AIGC-Skill official?

None yet. All 1 skills in renmu2017/Hell-Grind-AIGC-Skill 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 renmu2017/Hell-Grind-AIGC-Skill?

Run npx skills add renmu2017/Hell-Grind-AIGC-Skill 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.