Skillquality 0.46

content-multiply

Data-driven content multiplication engine. Detects high-performing posts via engagement data, then auto-generates adapted versions for other platforms. One piece of content → 3-5 derivatives. Triggers on "multiply content", "repurpose top posts", "content multiply", "cross-post w

Price
free
Protocol
skill
Verified
no

What it does

Content Multiplication Engine

When a post crosses an engagement threshold, automatically generate adapted versions for other platforms. One insight, many formats. Data-driven, not guesswork.


Why Data-Driven Repurposing Beats Calendar Repurposing

Calendar-Based RepurposingContent Multiplication Engine
TriggerTime (every Friday)Data (engagement threshold crossed)
Input"Review this week's content" (vague)Specific post with proven engagement
OutputSuggestionsActual drafted derivatives ready to review
SignalNo signal — reviews everythingEngagement data proves the post works
ConfidenceLow (guessing what might work)High (it already worked on one platform)

Key insight: A Reddit comment with 30 upvotes is a proven winner. Adapting it for Twitter/LinkedIn has much higher expected value than creating new content from scratch.


Engagement Thresholds

Posts crossing these thresholds trigger multiplication:

PlatformContent TypeDefault ThresholdNotes
RedditComment≥ 15 upvotesAdjust based on your account size
RedditOriginal post≥ 25 upvotes
TwitterReply≥ 5 likes OR ≥ 2,000 viewsLower for smaller accounts
TwitterOriginal tweet≥ 10 likes OR ≥ 5,000 views
LinkedInPost≥ 500 impressions OR ≥ 10 reactions
XHSPost≥ 50 saves (collections)XHS gold metric — saves > likes

Thresholds should start LOW for new accounts. Raise them as engagement grows (review monthly).

Threshold Config (in state file)

"thresholds": {
  "reddit_comment_upvotes": 15,
  "reddit_post_upvotes": 25,
  "twitter_reply_likes": 5,
  "twitter_reply_views": 2000,
  "twitter_post_likes": 10,
  "twitter_post_views": 5000,
  "linkedin_reactions": 10,
  "xhs_saves": 50
}

Workflow

Step 1: Read Engagement Data

Read memory/analytics/engagement-log.json and find entries that:

  1. Cross the engagement threshold
  2. Are NOT already processed (avoid re-processing)
  3. Are less than 7 days old (stale content doesn't multiply well)

Step 2: Determine Multiplication Routes

Source Platform→ Target Platforms
Reddit commentTwitter, LinkedIn
Reddit postTwitter thread, LinkedIn, XHS carousel, DEV.to (if technical)
Twitter replyReddit comment, LinkedIn insight
Twitter originalLinkedIn, Reddit, XHS
LinkedIn postTwitter (compress), XHS (translate + adapt)
XHS postTwitter (English extract), LinkedIn

Step 3: Generate Derivatives

Reddit Comment → Twitter Post

Source: Reddit comment (15+ upvotes)

Twitter version:
"[Extract the core insight from the comment]
[Reframe for Twitter audience — shorter, punchier]"

Rules:

  • Strip Reddit-specific context
  • Lead with the insight, not the backstory
  • Under 280 chars for single tweet, or 3-5 tweets for thread

Reddit Comment → LinkedIn Post

LinkedIn version:
"[Professional hook — what's the business/career implication?]
[Expand the insight with professional context]
[Tie to a broader theme: productivity, AI tools, builder mindset]
[Soft CTA: What's your experience with X?]"

Rules:

  • More formal tone, still personal
  • Add "why this matters" framing
  • Under 3000 chars, plain text only

Any Winner → XHS Carousel Suggestion

If a winner has enough substance for 3+ slides:

{
  "template": "dark",
  "slides": [
    {"type": "cover", "title": "[Chinese title]", "subtitle": "[Chinese subtitle]"},
    {"type": "content", "title": "[Point 1]", "number": 1, "body": "[Details]"},
    {"type": "list", "title": "[Key steps]", "items": ["item 1", "item 2"]},
    {"type": "summary", "title": "总结", "points": ["takeaway 1", "takeaway 2"], "cta": "关注获取更多干货"}
  ]
}

→ Generate with xhs-image-gen skill


Scheduling Rules (CRITICAL)

  1. NEVER publish all derivatives on the same day. Space over 2-3 days minimum.
  2. Stagger by platform priority:
    • Day 0: Original platform (already posted)
    • Day 1: Twitter — fastest audience turnover
    • Day 2: LinkedIn — professional audience
    • Day 3: XHS (if carousel) — needs Chinese audience peak time
  3. Weekend boost: If derivative ready on Friday, suggest LinkedIn for Tuesday (engagement drops on weekends).
  4. Don't stack with other scheduled posts. Check content calendar for conflicts.

Approval Flow

Content Multiplier — [date]

[N] post(s) crossed engagement thresholds!

--- Winner #1 ---
Source: [platform] | [title/topic] | [metric]: [value]
Original: [URL]

Derivatives:

1. Twitter post (suggested: post tomorrow)
   "[draft]"

2. LinkedIn post (suggested: post in 2 days)
   "[draft]"

3. XHS carousel (suggested: post in 3 days)
   [content structure or "generate with xhs-image-gen?"]

Reply:
  "post all" — queue all on suggested schedule
  "skip 2" — skip derivative #2
  "change 1: [text]" — edit derivative #1
  "not now" — skip everything

User Responses

User saysAction
"post all"Queue all derivatives on suggested schedule
"post now"Post immediately
"skip 2" / "skip linkedin"Skip specific derivative
"change 1: [text]"Edit specific derivative
"not now" / "skip"Skip everything
No replyDo nothing. NEVER auto-post.

State File

Location: memory/analytics/content-multiply-state.json

{
  "last_checked_at": "ISO8601",
  "thresholds": { ... },
  "multiplied": [
    {
      "source_id": "reddit-2026-01-01-001",
      "source_platform": "reddit",
      "source_metric": {"upvotes": 48},
      "detected_at": "ISO8601",
      "derivatives": [
        {
          "platform": "twitter",
          "status": "posted",
          "posted_at": "ISO8601",
          "url": "https://x.com/..."
        },
        {
          "platform": "linkedin",
          "status": "pending_approval",
          "suggested_date": "YYYY-MM-DD"
        }
      ]
    }
  ],
  "stats": {
    "total_winners_detected": 0,
    "total_derivatives_posted": 0
  }
}

Quality Gate

Before sending derivatives:

  • Hook is adapted for the target platform (not copy-pasted from source)
  • Length fits platform limits (Twitter: 280, LinkedIn: 3000, XHS: 1000 chars)
  • No hype words in any derivative
  • Derivatives are meaningfully different from each other
  • Suggested schedule doesn't conflict with other planned posts
  • Would someone who saw the original NOT feel like they're seeing the same thing?

Content Flywheel

CREATE          MEASURE           MULTIPLY          MEASURE AGAIN
  ↓                ↓                 ↓                   ↓
Reddit post → Engagement Tracker → Content Multiply → Engagement Tracker
                (daily check)       (daily check)       (next day)
                                                         ↓
                                                    If derivative also
                                                    crosses threshold...
                                                    MULTIPLY AGAIN!

Connected Skills

SkillRelationship
Engagement TrackerProvides the data (upstream)
Ship DigestCreates original content that feeds into this engine
GitHub MonitorCreates launch posts that can be multiplied
XHS Image GenGenerates carousel images for XHS derivatives

Edge Cases

No Winners This Period

Normal. Not every post will cross thresholds. Reply HEARTBEAT_OK.

Too Many Winners (5+ in one day)

Prioritize by engagement magnitude. Pick top 3, save the rest for tomorrow.

Winner Already Manually Repurposed

Check daily memory logs for same topic on multiple platforms. Skip if already repurposed.

Capabilities

skillsource-phy041skill-content-multiplytopic-agent-skillstopic-ai-agentstopic-automationtopic-claudetopic-foundertopic-indie-hackertopic-openclawtopic-social-media

Install

Installnpx skills add PHY041/claude-agent-skills
Transportskills-sh
Protocolskill

Quality

0.46/ 1.00

deterministic score 0.46 from registry signals: · indexed on github topic:agent-skills · 13 github stars · SKILL.md body (7,956 chars)

Provenance

Indexed fromgithub
Enriched2026-04-22 13:03:31Z · deterministic:skill-github:v1 · v1
First seen2026-04-19
Last seen2026-04-22

Agent access