xposter
Transform raw ideas into polished X posts. USE WHEN tweet, X post, Twitter, draft post, publish, social media, process input, score tweet, check quality, generate image, update algorithm.
Quellinformationen
- Repository
- phuaky/xposter
- Letzte Quellaktivität
- 4. September 2026 um 07:37
- Erkannte Sprache von SKILL.md
- Englisch
- Sterne
- 1
- Forks
- 0
Installationsoptionen
Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Quelldateien prüfen
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
SKILL.md wird angezeigt
SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau- name
- XPoster
- description
- Transform raw ideas into polished X posts. USE WHEN tweet, X post, Twitter, draft post, publish, social media, process input, score tweet, check quality, generate image, update algorithm.
# XPoster
Autonomous agent for processing raw ideas into engagement-optimized X posts.
**CRITICAL: NO THREADS.** Only single medium-form posts (40-280 words).
## Quick Start
1. Clone this repo into `~/.claude/skills/XPoster/`
2. Copy `config.yaml.example` to `config.yaml` and edit
3. Run the Setup workflow: `"setup xposter"`
4. Start drafting: `"/post"` or `"draft: your idea here"`
## Workflow Routing
| Workflow | Trigger | File |
|----------|---------|------|
| **Setup** | "setup xposter", "configure xposter" | `Workflows/Setup.md` |
| **Draft** | "/post", "/capture", "draft:", "tweet about", "post about", "turn this into a post" | `Workflows/Draft.md` |
| **BatchProcess** | "process input", "scan input", "batch process" | `Workflows/BatchProcess.md` |
| **Validate** | "validate", "score", "quality check" | `Workflows/Validate.md` |
| **Organize** | "organize", "move to ready/drafts" | `Workflows/Organize.md` |
| **Schedule** | "schedule", "queue for posting" | `Workflows/Schedule.md` |
| **GenerateVisual** | "generate image", "add visual" | `Workflows/GenerateVisual.md` |
| **UpdateAlgorithm** | "update algorithm", "fetch nikita" | `Workflows/UpdateAlgorithm.md` |
## Tools
```bash
# Score a post inline
bun run Tools/ScoreTweet.ts "Your tweet"
# Score from a JSON file
bun run Tools/ScoreTweet.ts --file path/to/tweet.json
```
## MCP Integration
Posting requires the X MCP server (`@anthropic/mcp-x-server` or equivalent):
```javascript
mcp__x-server__create_tweet({ text: "content" })
mcp__x-server__reply_to_tweet({ tweet_id: "id", text: "reply" })
```
## Reference Documentation
- Content & scoring rules: `Reference/ContentRules.md`
- X algorithm knowledge: `Reference/XAlgorithm.md`
- Post templates: `Reference/TweetFormats.md`
- Account setup: `Reference/AccountStructure.md`
## Examples
**Example 1: Draft from conversation**
```
User: "/post"
-> Invokes Draft workflow (conversation source)
-> Mines conversation for postable moments
-> Scores, iterates, returns ready draft
```
**Example 2: Draft from idea**
```
User: "draft: spent 3 hours debugging with Claude, switched to GPT and fixed it in 2 min"
-> Invokes Draft workflow (inline source)
-> Optimizes, scores, returns ready tweet
```
**Example 3: Batch processing**
```
User: "process input for myaccount"
-> Invokes BatchProcess workflow
-> Scans INPUT folder, analyzes each item
-> Scores all drafts, saves to OUTPUT/drafts/
```
Auf GitHub ansehen