Repository
Finderchangchang/brewreel agent skills
- skill
- 1
- GitHub stars
- 141
GitHub description: “精酿 BrewReel：让 DeepSeek 这类便宜模型也能做出好看的竖版宣传片。写一份产品简报，AI 挑镜头、写文案，一条命令出片。3 种配方、6 个行业、广告法校验，开源可商用。”
- Stars
- 141 (19 forks)
- Licence
- Apache-2.0
- Last push
- Oct 2026
- Created
- Sep 2026
- Homepage
- brewreel.com
- agent-skills
- claude-code
- deepseek
- deepseek-harness
- dsh-plugin
- llm
- promo-video
- remotion
- short-video
- video-generation
Install all skills
npx skills add Finderchangchang/brewreelAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in Finderchangchang/brewreel, ranked
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | 1.Brewreel 精酿 · BrewReel：三种玩法。宣传片：做竖版产品宣传短片（1080x1920，15–45 秒，抖音/视频号/小红书）。用户要做产品宣传片、推广短视频、App 介绍视频、功能演示视频、上新短片、带货片头时使用。支持软件、餐饮、电商实物、教培、美业、文旅住宿六个行业，支持中英双语。你只写 storyboard.json，校验拦规则和行业合规，一条命令出片。口播配画面：用户有… | Finderchangchang/ | 141 | — | ~6.3k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
Questions, answered from the data.
What is the best skill in Finderchangchang/brewreel?
Brewreel from Finderchangchang/brewreel ranks first of the 1 skills in Finderchangchang/brewreel listed here, with the highest score: its repository has 141 GitHub stars, its SKILL.md loads about 6.3k tokens and it passes the automated safety check with no findings.
Are the skills in Finderchangchang/brewreel official?
None yet. All 1 skills in Finderchangchang/brewreel 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 Finderchangchang/brewreel?
Run npx skills add Finderchangchang/brewreel 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.