larsderidder

Agent Content Pipeline

AI 智能体v0.2.3
作者:larsderidder更新于 2026-05-18agent-content-pipeline@clawhub_larsderidder/agent-content-pipeline
任务自动化工作流编排#Pipeline#LinkedIn

据 AlphaMoat 统计,截至 2026-09,Agent Content Pipeline 累计下载 4,850 次、获 6 个星标,在全部 5,078 个 AI 技能中排名第 1,936 位,在「AI 智能体」分类(969 个)中排名第 366 位。

累计安装
657
累计下载
4,850
星标
6
全站排名
#1,936
全站前 39% · 「AI 智能体」前 38%
平台累计安装累计下载星标评论
ClawHub ↗1514,52062
SkillHub ↗6574,8506—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

内容按草稿、已评审、已修改、已批准、已发布的状态在目录间流转,其中批准这一步只能由人来完成。命令行支持列出、移动、评审与发布到社交平台,发布前可先预览而不真正发出。 agent 本身不能批准或发帖;须由人批准,再通过 CLI 手动发布。发布前先预览,并检查账号凭据及公开内容风险。

资料发布于 2026-10-27

可以用来做什么

  • 把一批草稿送审并跟踪每篇所处状态。
  • 发布前先预览效果,确认后再真正推送。

什么时候用

  • 内容需要人工把关才能对外发布时。
  • 多篇内容并行推进、状态容易混乱时。

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

把这几篇草稿推进到评审环节,列一下当前状态。
先预览这条内容的发布效果,别真的发出去。

月度数据趋势

累计下载4,850
3,6304,2854,9402026-03 · 累计下载 3,7202026-05 · 累计下载 4,0732026-07 · 累计下载 4,3012026-08 · 累计下载 4,3732026-09 · 累计下载 4,85026-0326-09
星标6
5662026-03 · 星标 52026-05 · 星标 52026-07 · 星标 62026-08 · 星标 62026-09 · 星标 626-0326-09

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份累计下载环比星标
2026-094,850—6
2026-084,373+1.7%6
2026-074,301—6
2026-054,073—5
2026-033,720—5

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

4.5 KB · ClawHub v0.2.3
---
name: agent-content-pipeline
description: Safe content workflow (drafts/reviewed/revised/approved/posted) with human-in-the-loop approval, plus CLI to list/move/review and post to LinkedIn/X. Use when setting up a content pipeline, drafting content, managing review threads, or posting approved content.
---

# Content Pipeline Skill

Safe content automation with human-in-the-loop approval. Draft → Review → Approve → Post.

## Setup
展开全部(共 152 行)

```bash
npm install -g agent-content-pipeline
content init . # Creates folders + global config (in current directory)
```

For cryptographic approval signatures (password-protected):
```bash
content init . --secure
```

This creates:
- `drafts/` — work in progress (one post per file)
- `reviewed/` — human reviewed, awaiting your revision
- `revised/` — you revised, ready for another look
- `approved/` — human-approved, ready to post
- `posted/` — archive after posting
- `templates/` — review and customize before use
- `.content-pipeline/threads/` — feedback thread logs (not posted)

## Your Permissions

✅ **Can do:**
- Write to `drafts/`
- Read all content directories
- Revise drafts based on feedback
- Move revised files to `revised/`
- Run `content list` to see pending content

❌ **Cannot do:**
- Move files to `approved/` (only the human can approve)
- Post content
- Set `status: approved`

## Creating Content

**One post per file.** Each suggestion or draft should be a single post, not a collection.

File naming: `YYYY-MM-DD-<platform>-<slug>.md`

Use frontmatter:

```yaml
---
platform: linkedin    # linkedin | x | reddit (experimental)
title: Optional Title
status: draft
subreddit: programming  # Required for Reddit
---

Your content here.
```

Tell the human: "Draft ready for review: `content review <filename>`"

## The Review Loop

```
drafts/ → reviewed/ → revised/ → approved/ → posted/
              ↑          │
              └──────────┘
               more feedback
```

1. You write draft to `drafts/`
2. Human runs `content review <file>`:
   - **With feedback** → file moves to `reviewed/`, you get notified
   - **No feedback** → human is asked "Approve?" → moves to `approved/`
3. If feedback: you revise and move to `revised/`
4. Human reviews from `revised/`:
   - More feedback → back to `reviewed/`
   - Approve → moves to `approved/`
5. Posting happens manually via `content post`

### After Receiving Feedback

When you get review feedback:
1. Read the file from `reviewed/`
2. Apply the feedback
3. Move the file to `revised/`
4. Confirm what you changed
5. (Optional) Add a note: `content thread <file> --from agent`

## Platform Guidelines

### LinkedIn
- Professional but human
- Idiomatic language (Dutch for NL audiences, don't be stiff)
- 1-3 paragraphs ideal
- End with question or CTA
- 3-5 hashtags at end

### X (Twitter)
- 280 chars per tweet (unless paid account)
- Punchy, direct
- 1-2 hashtags max
- Use threads sparingly
- If Firefox auth fails, you can paste `auth_token` and `ct0` manually

Manual cookie steps:
1) Open x.com and log in
2) Open DevTools → Application/Storage → Cookies → https://x.com
3) Copy `auth_token` and `ct0`

### Reddit (experimental)
- Treat as experimental; API and subreddit rules can change
- Requires `subreddit:` in frontmatter
- Title comes from frontmatter `title:` (or first line if missing)
- Match each subreddit's rules and tone

## Commands Reference

```bash
content list                    # Show drafts and approved
content review <file>           # Review: feedback OR approve
content mv <dest> <file>        # Move file to drafts/reviewed/revised/approved/posted
content edit <file>             # Open in editor ($EDITOR or code)
content post <file>             # Post (prompts for confirmation)
content post <file> --dry-run   # Preview without posting
content thread <file>           # Add a note to the feedback thread
```

## Security Model

The security model separates drafting (AI) from approval/posting (human):

- ✅ Agent drafts content
- ✅ Agent revises based on feedback  
- ❌ Agent cannot approve (human approves via `content review`)
- ❌ Agent cannot post

Posting is handled manually via CLI — never by the agent directly.

### Platform-specific security

| Platform | Auth Storage | Encrypted? | Password Required? |
|----------|--------------|------------|-------------------|
| LinkedIn | Browser profile | ✅ Yes | ✅ Yes |
| X/Twitter | Firefox tokens | ✅ Yes | ✅ Yes |

Both platforms require password to post. Tokens are extracted from Firefox and encrypted locally.

「AI 智能体」分类下的热门技能

数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。