larsderidder

Agent Content Pipeline

AI 智慧體v0.2.3
作者:larsderidder更新於 2026-05-18agent-content-pipeline@clawhub_larsderidder/agent-content-pipeline
任務自動化工作流編排#Pipeline#LinkedIn

據 AlphaMoat 統計,截至 2026-09,Agent Content Pipeline 累計下載 4,850 次、獲 6 個星標,在全部 5,078 個 AI 技能中排名第 1,936 位,在「AI 智慧體」分類(969 個)中排名第 366 位。

累計安裝
657
累計下載
4850
星標
6
全站排名
#1,936
全站前 39% · 「AI 智慧體」前 38%
平台累計安裝累計下載星標評論
ClawHub ↗151452062
SkillHub ↗65748506—

各平台的計數口徑不同,統計時間不一致。

這個技能是做什麼的

內容按草稿、已評審、已修改、已批准、已釋出的狀態在目錄間流轉,其中批准這一步只能由人來完成。命令列支援列出、移動、評審與釋出到社交平台,釋出前可先預覽而不真正發出。 agent 本身不能核准或發文;須由人核准,再透過 CLI 手動發布。發布前先預覽,並檢查帳號憑證及公開內容風險。

資料釋出於 2026-10-27

可以用來做什麼

  • 把一批草稿送審並跟蹤每篇所處狀態。
  • 釋出前先預覽效果,確認後再真正推送。

什麼時候用

  • 內容需要人工把關才能對外發布時。
  • 多篇內容並行推進、狀態容易混亂時。

示例提示詞

以下是根據技能文件生成的示例,不代表實際執行結果。

把這幾篇草稿推進到評審環節,列一下當前狀態。
先預覽這條內容的釋出效果,別真的發出去。

月度資料趨勢

累計下載4850
3630428549402026-03 · 累計下載 37202026-05 · 累計下載 40732026-07 · 累計下載 43012026-08 · 累計下載 43732026-09 · 累計下載 485026-0326-09
星標6
5662026-03 · 星標 52026-05 · 星標 52026-07 · 星標 62026-08 · 星標 62026-09 · 星標 626-0326-09

2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。

月份累計下載環比星標
2026-094850—6
2026-084373+1.7%6
2026-074301—6
2026-054073—5
2026-033720—5

SKILL.md 原文

以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 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
展開全部(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 智慧體」分類下的熱門技能

資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。