marketing-pipeline
Use when the user wants to run multiple marketing skills together (brief, blog post, social copy, changelog, newsletter, video script) from a single input, or when they mention "marketing pipeline", "full marketing", or "launch content"
供给资产档案
设计与创意生产
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
场景
设计与创意
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
适配 Agent
Claude Code + CLI + Codex
适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。
安装
就绪
npx skills add AlemTuzlak/skills --skill marketing-pipeline
维护状态
新鲜
距上次推送 3 天
风险
需审查
许可证不清晰
GitHub 质量
39
57/100 质量 · 65/100 信任
覆盖标签
审查说明
许可证不清晰 · Repository license is detected as 'Unknown' in the submission metadata, which creates ambiguity about usage rights.
Agent 采用评分卡
一眼查看信任、审计与安装准备度
这些分数综合公开仓库元数据、OpenAgentSkill 审查信号、维护新鲜度与安装准备度。它用于候选筛选,不替代人工审查。
质量
有潜力有用的候选项,但采用前应与替代方案比较。
信任
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
审计
需审查对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。
OpenAgentSkill 信任评分 v5
安装前需人工审查
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
39 个 GitHub Stars
仓库活跃度
39 个 Star,0 个 Fork
维护状态
距上次推送 3 天
许可证
未知
安装
npx skills add AlemTuzlak/skills --skill marketing-pipeline
安装安全性
标准软件包或运行时安装路径
权限范围
文件系统或文档访问
Agent 结果
暂未有 Agent 结果数据
文档
Usable metadata, review docs
风险摘要
生产前审查
- Repository license is detected as 'Unknown' in the submission metadata, which creates ambiguity about usage rights.
- 许可证不清晰
- Low GitHub adoption signal
- Quality score needs review
安装准备度
安装路径可用
- 安装路径可用
- 仓库证据可用
- 许可证不清晰
- 暂无 Agent 验证结果证据
Agent 可读元数据
这个 Skill 的机器可读决策数据。
使用此区块或内嵌 JSON 判断 Agent 是否应安装该 Skill、选择替代方案,或先请求人工审查。
适用任务
- Content automation 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
- Summarize source material
适用 Agent
安装决策
- 命令
- npx skills add AlemTuzlak/skills --skill marketing-pipeline
- 策略
- 审查
- 人工审查
- 是
信任与风险
- 信任
- 57/100
- 审计
- 72/100
- 风险级别
- 需审查
结果闭环
- 端点
- /api/agent/outcome
- 事件 ID
- resolve
- 结果
- 5
不适用场景
- 需要厂商支持 SLA 的团队
- production agents without a repository review
- Low GitHub adoption signal
- Repository license is detected as 'Unknown' in the submission metadata, which creates ambiguity about usage rights.
- 许可证不清晰
替代 Skill
Frontend Design
170.9K Stars
npx skills add anthropics/skills --skill frontend-design
替代 Skill
Taste Skill: Anti-Slop Frontend
79.0K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
替代 Skill
Canvas Design
170.9K Stars
npx skills add anthropics/skills --skill canvas-design
替代 Skill
Anthropic Brand Guidelines
170.9K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent 安全 v2
56/100 · 安装前审查
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
中
网络访问
Skill 可能访问远程页面、API、仓库或外部服务。
中
文件系统访问
Skill 可能读取或写入项目文件、文档、生成产物或本地工作区状态。
- 许可证不清晰
安装目标
在你的 Agent 工作流中安装此 Skill
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install alemtuzlak-marketing-pipelineAgent 解析计划
让 Agent 在安装前验证匹配度。
Resolve API 返回首选 Skill、替代方案、安全策略、审计说明、安装目标和可直接执行的提示词,无需抓取此页面。
打开 JSON
/api/agent/resolve?task=Use%20marketing-pipeline%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve 文本
/api/agent/resolve?task=Use%20marketing-pipeline%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
安装交接
/api/skills/alemtuzlak-marketing-pipeline/install
Agent 应检查
- 从 Resolve API 检查任务匹配与替代方案。
- 检查审计评分、信任评分和安全策略警告。
- 检查 Codex、Claude Code、Cursor 或 CLI 的安装目标兼容性。
复制提示词
Task: Use marketing-pipeline in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20marketing-pipeline%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/alemtuzlak-marketing-pipeline/install
Install command: npx skills add AlemTuzlak/skills --skill marketing-pipeline
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent 交接
把安装路径交给 Agent,而不是再给一个目录页。
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
安装交接
/api/skills/alemtuzlak-marketing-pipeline/install
LLM 文本格式
/api/skills/alemtuzlak-marketing-pipeline/install?format=text
寻找替代方案
/api/skills/search?q=marketing-pipeline&limit=3
Agent 提示词
Use marketing-pipeline for this task. Review https://www.openagentskill.com/api/skills/alemtuzlak-marketing-pipeline/install, then install with: npx skills add AlemTuzlak/skills --skill marketing-pipelineRegistry 元数据
用于自动选择 Skill 的 Agent 可读档案。
本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。
Agent 决策面板
Needs validation for Content automation
在将它加入 Agent 工作流前先人工审查仓库。
栈中角色
需要验证
主要匹配
Content automation
信任标签
需要人工审查
安装路径
命令已就绪
适用场景
- Content automation 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
证据
- 仓库近期活跃
- 已提供安装命令或 GitHub 仓库
- 57/100 质量档案
- 2 个 OpenAgentSkill 交互事件
先审查
- Low GitHub adoption signal
- Repository license is detected as 'Unknown' in the submission metadata, which creates ambiguity about usage rights.
实施路径
- 1在沙盒 Agent 中安装它,并端到端完成一次Content automation任务。
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
信任档案
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub 采用度
检查39 个 GitHub Stars
Star/Fork 活跃度
检查39 个 Star,0 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过距上次推送 3 天
许可证清晰度
检查未知
积极信号
- AI 审查已通过
- 安装路径可用
- 仓库证据可用
- 近期维护的仓库
- 安装命令未发现明显高风险模式
- 结果闭环已就绪,但需要首次真实 Agent 运行
安装前审查
- Repository license is detected as 'Unknown' in the submission metadata, which creates ambiguity about usage rights.
- 许可证不清晰
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 39 GitHub stars
- Stars/forks activity: 39 stars, 0 forks; issue activity unavailable in current metadata
- License clarity: Unknown
- 暂未有真实 Agent 结果报告
- 无人值守安装前需要人工审查
建议操作
Choose a stronger alternative or inspect the source manually before any install attempt.
质量档案
有潜力 适用于 Agent 工作流的候选
有用的候选项,但采用前应与替代方案比较。
工作流匹配
在这些场景使用此 Skill
Publish consistently
Content automation
I need my agent to turn research and product updates into useful content drafts.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
工作流匹配
加入完整工作流
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
替代方案短名单
安装前对比
可能适合该任务的相近 Skill。
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Taste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Canvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Anthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
概览
--- name: marketing-pipeline description: Use when the user wants to run multiple marketing skills together (brief, blog post, social copy, changelog, newsletter, video script) from a single input, or when they mention "marketing pipeline", "full marketing", or "launch content" ---
# Marketing Pipeline
Orchestrate any combination of `/marketing-brief`, `/changelog`, `/blog-post`, `/newsletter`, `/social-copy`, and `/video-script` from a single input. Pick which skills to run and in what order. Each skill's output feeds into the next.
## How it works
This skill does NOT duplicate the logic of the sub-skills. It collects input, asks which skills to run, then invokes them in sequence, passing each output as input to the next. Each skill runs its full process including its own discovery, configuration, writing, and output phases.
## Step 1: Input
Accept the same input types as the sub-skills:
1. GitHub PR (URL or `#number`) 2. Git ref range (e.g. `v1.0...v2.0`) 3. File/directory path 4. Freeform text
If no argument provided, ask: "What should I create marketing content for? You can provide a PR, git ref range, file path, or just describe the feature."
## Step 2: Select skills
Ask the user which skills to run:
> "Which of these do you want me to generate?" > > 1. Marketing brief (`/marketing-brief`) > 2. Changelog (`/changelog`) > 3. Blog post (`/blog-post`) > 4. Remotion video (`/remotion-video`) > 5. Newsletter (`/newsletter`) > 6. Social copy (`/social-copy`) > 7. Video script (`/video-script`) > > "Pick any combination (e.g. '1, 3, and 5', 'all', '3 only')."
(Menu numbering is for selection only; execution follows the chain in Step 3.)
`"all"` means skills 1 through 7.
### Input compatibility check
After selection, check if the original input is compatible with each selected skill:
- **Changelog** requires a git ref range or PR. If the original input is freeform text or a file path, skip changelog and tell the user: "Skipping changelog because it needs a git ref range or PR. The other skills will proceed from the original input."
## Step 2b: Output directory
Ask where to save all generated content:
> "Want all content saved to a single directory? (e.g. `marketing/launch-<feature>/`). Otherwise each skill will use its own default location."
If the user picks a single directory, all files go into that directory: - `brief.md` (marketing brief) - `changelog.md` (changelog) - `blog-post.md` (blog post) - `video.mp4` + `poster.jpg` + `remotion/` subdirectory (remotion video) - `newsletter.md` (newsletter) - `social-copy.md` (social copy) - `video-script.md` (video script)
Create the directory if it doesn't exist. When each sub-skill asks "where to save?", respond with the shared path and filename on behalf of the user.
If the user declines, let each sub-skill use its own default path. Track the actual output paths for the summary.
## Step 3: Determine execution order
Run selected skills in this order (each output feeds the next):
``` changelog -> marketing-brief -> blog-post -> remotion-video -> newsletter -> social-copy -> video-script ```
The order is designed so that upstream outputs enrich downstream skills:
- **Changelog** runs first because it produces a structured list of changes that all other skills can use - **Marketing brief** uses the changelog (or original input) to build strategy, positioning, and key messages - **Blog post** uses the brief (or changelog/original input) for a deep content piece - **Remotion video** uses the blog post (or brief / changelog / original input) to produce a rendered mp4 + poster; runs after the text content is settled so its narrative plan can reuse the positioning - **Newsletter** uses the brief or blog post to craft the email announcement - **Social copy** uses any upstream output for platform-specific posts. If a Remotion video was generated, reference the `video.mp4` + `poster.jpg` paths so the posts can embed them. - **Video script** uses any upstream output for the video narrative
If a skill in the chain is not selected, skip it. The next skill receives whatever the most recent upstream output was. If no upstream skill was selected, use the original input.
### Feeding non-adjacent selections
When feeding output from one skill to a non-adjacent skill (e.g. changelog directly to social-copy), explicitly tell the downstream skill what the input represents: "This is a changelog. Treat it as a structured list of feature descriptions and changes."
## Step 4: Run each skill
For each selected skill, invoke it using the Skill tool:
- Pass the output file from the most recent upstream skill as the argument (if available) - If it's the first skill in the chain, pass the original input - Let each skill run its full process (discovery, configuration, writing, output) - If a sub-skill asks about tone or audience and the user already answered this for a previous skill in the chain, suggest the same answer as default and let the user confirm or change
Between skills, confirm with the user before proceeding:
> "[Skill] is done. Ready to move on to [next skill]?"
This gives the user a chance to adjust, take a break, or stop early.
### Error recovery
If a sub-skill fails or the user cancels mid-process, ask: "Want to skip this skill and continue to the next one, or stop the pipeline here?" List what was already completed.
## Step 5: Summary
After all selected skills are complete, present a summary:
> "Here's everything that was generated:" > > - Changelog: `<path>/changelog.md` > - Marketing brief: `<path>/brief.md` > - Blog post: `<path>/blog-post.md` > - Remotion video: `<path>/video.mp4` + `<path>/poster.jpg` (+ `<path>/remotion/` project if kept) > - Newsletter: `<path>/newsletter.md` > - Social copy: `<path>/social-copy.md` > - Video script: `<path>/video-script.md` > > (Only list the skills that were actually run. Show actual paths used.)
## What this skill does NOT do
- Replace the individual skills. Each sub-skill handles its own configuration, writing, and output. - Force all skills. The user picks which ones to run. - Skip the sub-skills' own question flows. Each skill still asks its own configuration questions.
技术详情
- 版本
- 1.0.0
- 许可证
- Unknown
- 最近更新
- 2026年8月19日
- 发布时间
- 2026年8月19日
决策摘要
需要验证
仓库近期活跃
Agent 验证证据
Agent 验证证据
来自解析、审查、安装和一次小范围运行后的结果报告。
- 成功率
- —
- 近期失败
- —
- 结果
- 0
- 输出质量
- —
- 失败
- 0
- 不相关
- 0
- 安装次数
- 0
- 风险拦截
- 0
- 需要配置
- 0
- 生产环境
- 0
暂时没有 Agent 结果数据。首次 Agent 执行可以通过 /api/agent/outcome 报告成功、需要设置、风险拦截、失败或不相关。
增长闭环
分享工具包
为 marketing-pipeline 准备的场景化草稿,可手动发布到 X。
marketing-pipeline: Use when the user wants to run multiple marketing skills together (brief, blog post, social c... 39 stars https://www.openagentskill.com/skills/alemtuzlak-marketing-pipeline?ref=x
可选:带安装命令的回复
Listing + install path for marketing-pipeline: https://www.openagentskill.com/skills/alemtuzlak-marketing-pipeline?ref=x Install: npx skills add AlemTuzlak/skills --skill marketing-pipeline
收录来源
Registry 收录
此列表来自公开来源,维护者认领获批前不会标记为官方。
- 创作者
- AlemTuzlak
- 收录方
- OpenAgentSkill 社区索引
归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。
认领此 Skill所有者认领
认领此 Skill 页面
这条 Registry 收录 列表归属于 AlemTuzlak,但尚未标记为官方。认领后可增加已验证所有者信号,使后续发布、安装和审计更新更值得信赖。
创作者外链工具包
将证据徽章加入你的 README
在开发者评估仓库的位置展示规范页面、当前信任与审计信号,以及真实的 Agent 验证证据。
[](https://www.openagentskill.com/skills/alemtuzlak-marketing-pipeline)
[](https://www.openagentskill.com/skills/alemtuzlak-marketing-pipeline)
[](https://www.openagentskill.com/skills/alemtuzlak-marketing-pipeline/audit)
[](https://www.openagentskill.com/skills/alemtuzlak-marketing-pipeline)作者
AlemTuzlak
@alemtuzlak
平台适配
健康信号
- GitHub Stars
- 39
- 质量评分
- 34/100
- 最近 GitHub 推送
- 2026年8月19日
- 框架提示
- 未知
- OpenAgentSkill 浏览量
- 2
- 复制安装命令
- 0
- 跳转点击
- 0
社区信号
告诉我们这个 Skill 是否对你的 Agent 工作流有帮助。汇总反馈会持续改善排序。
信任与安全
Do not auto-install
- GitHub 采用度39 个 GitHub Stars检查
- Star/Fork 活跃度39 个 Star,0 个 Fork; 当前元数据中没有议题活跃度信息检查
- 近期维护距上次推送 3 天通过
- 许可证清晰度未知检查
- README/SKILL.md 完整度公开元数据需要更完整的 README/SKILL.md 上下文信息
- 依赖与运行时风险公开元数据中未发现主要依赖风险提示通过
相关 Skill
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Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
170.9K StarsTaste Skill: Anti-Slop Frontend
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79.0K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
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Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
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