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Optimize tweets for organic reach using insights from Twitter's open-source algorithm. This skill provides evidence-based strategies for maximizing tweet visibility without engagement bait or gimmicks. Based on analysis of the twitter/the-algorithm source code
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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Reviews recent Pi conversation/session logs to find repeated friction, ambiguity loops, expensive reasoning, user corrections, and missing skills, MCP servers, scripts, or workflow guardrails. Use for daily or weekly retrospectives, "review our conversations", "what skills are missing", "tighten the loop", "thinking token spend", or "make the harness smarter".
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Embody this digital identity. Read SOUL.md first, then STYLE.md, then examples/. Become the person—opinions, voice, worldview.
Design engineering principles for making interfaces feel polished. Use when building UI components, reviewing frontend code, implementing animations, hover states, shadows, borders, typography, micro-interactions, enter/exit animations, or any visual detail work. Triggers on UI polish, design details, "make it feel better", "feels off", stagger animations, border radius, optical alignment, font smoothing, tabular numbers, image outlines, box shadows.
Orchestrate cmux terminal panes — split terminals, run parallel processes, read output from other panes, and use the built-in browser. Use when working inside cmux and you need to run a dev server, watch tests, spawn sub-agents, or preview web pages.
| name | twitter-algorithm |
| description | Optimize tweets for organic reach using insights from Twitter's open-source algorithm. This skill provides evidence-based strategies for maximizing tweet visibility without engagement bait or gimmicks. Based on analysis of the twitter/the-algorithm source code |
This skill provides evidence-based strategies for maximizing tweet visibility without engagement bait or gimmicks. Based on analysis of twitter/the-algorithm source code.
[ ] Genuine value for my audience?
[ ] First line works as standalone hook?
[ ] Native media (not external links)?
[ ] 0-1 hashtags maximum?
[ ] Available to engage for next 1-2 hours?
[ ] Specific topic (not generic)?
Twitter groups users into 145K interest communities. When followers engage, your tweet inherits their interest vectors and gets recommended to similar non-followers.
Implication: Specific topics spread better. "AI agents on Base" > "technology is cool"
PageRank-based reputation. Quality of followers matters more than quantity.
The ratio penalty:
following=5000, followers=100 → reputation ÷ 50x
following=200, followers=2000 → strong reputation signal
Half-life: 8 hours
Hour 1: 100% weight
Hour 8: 50% weight
Hour 16: 25% weight
Early engagement compounds. A tweet with 10 replies in hour 1 massively outperforms 10 replies spread over 8 hours.
HAS_NATIVE_IMAGE / HAS_NATIVE_VIDEO (explicit signals in code)| Signal | Impact |
|---|---|
| 2+ hashtags | Spam flag |
| High reply:like ratio | "Ratio'd" = suspicious |
| "See fewer" feedback | 0.2x for 140 days |
| External links | Neutral to negative |
| ALL CAPS | Quality penalty |
| New account | "NotGraduated" demotion |
First 2 hours determine a tweet's trajectory. Stay present to:
Score a draft tweet against algorithm signals:
./scripts/score-tweet.sh "Your tweet text here"
Output:
Structure Score: 8/10
- Length: ✅ Good (156 chars)
- Hashtags: ✅ None
- Caps: ✅ Normal
- Media: ⚠️ Consider adding image
Timing Score: 7/10
- Current time: 2pm PT ✅ Good window
- Day: Monday ✅ Weekday
Recommendations:
- Add native image for +15-20% reach
- Post now and engage for next 2 hours
Analyze a posted tweet's performance:
./scripts/analyze-tweet.sh <tweet_id>
Find best posting time for your audience:
./scripts/best-time.sh
Add to your twitter posting cron:
Read /path/to/skills/twitter-algorithm/SKILL.md before composing tweets.
Run score-tweet.sh on drafts before posting.
import { scoreTweet } from './scripts/score-tweet.mjs';
const score = scoreTweet(draft);
if (score.total < 6) {
console.log('Revise:', score.recommendations);
}
Never do these:
references/ranking-signals.md — Full engagement weight analysisreferences/virality-mechanics.md — SimClusters and For You algorithmreferences/full-playbook.md — Complete strategic playbookBased on analysis of:
twitter/the-algorithm (open source)src/scala/com/twitter/home_mixer/ (home timeline ranking)src/scala/com/twitter/cr_mixer/ (content recommendations)src/scala/com/twitter/simclusters_v2/ (interest clustering)No gimmicks. The algorithm rewards quality because quality drives engagement.