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Transform raw ideas into Balaji-style X posts — assertive, numbered, evidence-backed. USE WHEN tweet, X post, Twitter, draft post, publish, social media, process input, score tweet, check quality, generate image, update algorithm, daily digest.
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/phuaky/pai-skills --skill xposter명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see AnalyticsTracking. USE WHEN ab test, split test, experiment setup, A/B test, multivariate.
When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," or "tracking plan." For A/B test measurement, see AbTestSetup. USE WHEN analytics, tracking, GA4, measurement, Google Analytics.
Structure raw ideas into articulate outlines using Dan Koe's frameworks. USE WHEN articulate, structure ideas, outline talk, outline article, think through piece, brainstorm structure, how should I say this, organize my thoughts, structure this post, help me outline.
SOC 직업 분류 기준
SKILL.md 표시 중
| name | XPoster |
| description | Transform raw ideas into Balaji-style X posts — assertive, numbered, evidence-backed. USE WHEN tweet, X post, Twitter, draft post, publish, social media, process input, score tweet, check quality, generate image, update algorithm, daily digest. |
Autonomous agent for processing raw ideas into Balaji Srinivasan-style X posts. Assertive voice. Numbered points. Evidence in every claim. No engagement bait.
Two formats: Short numbered post (100-500 words) OR long article (500-3000+ words). Nothing in between.
Before executing, check for user customizations at:
~/.claude/skills/PAI/USER/SKILLCUSTOMIZATIONS/XPoster/
When executing a workflow, do BOTH:
Send voice notification:
curl -s -X POST http://localhost:8888/notify \
-H "Content-Type: application/json" \
-d '{"message": "Running the WORKFLOWNAME workflow in the XPoster skill"}' \
> /dev/null 2>&1 &
Output text notification:
Running the **WorkflowName** workflow in the **XPoster** skill...
| Workflow | Trigger | File |
|---|---|---|
| Draft | "/post", "/capture", "draft:", "tweet about", "post about", "turn this into a post" | Workflows/Draft.md |
| BatchProcess | "process input", "scan input", "process captures", "session posts", "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 |
| DailyDigest | "daily digest", "what did I build today", "session digest", "digest my day", "today's sessions" | Workflows/DailyDigest.md |
bun run ~/.claude/skills/XPoster/Tools/ScoreTweet.ts "Your tweet"
NOTE: ScoreTweet.ts uses legacy scoring logic. Use
ContentRules.mdas ground truth for quality assessment until the tool is updated.
mcp__x-server__create_tweet({ text: "content" })
mcp__x-server__reply_to_tweet({ tweet_id: "id", text: "reply" })
ContentRules.mdXAlgorithm.mdTweetFormats.mdAccountStructure.mdExample 1: Draft from conversation
User: "/post"
-> Invokes Draft workflow (conversation source)
-> Finds thesis in conversation
-> Writes numbered post with evidence
-> Returns Balaji-style draft
Example 2: Draft from idea
User: "draft: replaced Calendly with 200 lines of TypeScript"
-> Invokes Draft workflow (inline source)
-> Structures as numbered post: thesis, evidence points, conclusion
-> Returns assertive, evidence-backed draft
Example 3: Batch processing
User: "process input for software30"
-> Invokes BatchProcess workflow
-> Scans INPUT folder, finds thesis for each item
-> Structures as Balaji-style posts, saves to OUTPUT/drafts/