twitter-algorithm-optimizer SKILL.md skillA

twitter-algorithm-optimizer from davepoon/buildwithclaude is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add davepoon/buildwithclaude/twitter-algorithm-optimizer@git:20260218.645c646

Pins git:20260218.645c646 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
davepoon/buildwithclaude
Path
plugins/all-skills/skills/twitter-algorithm-optimizer/SKILL.md
Versions recorded
1
Latest version
git:20260218.645c646, committed Feb 18, 2026
Size
12,965 bytes
Repository stars
3,724
License
MIT

Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Twitter Algorithm Optimizer

## When to Use This Skill

Use this skill when you need to:
- **Optimize tweet drafts** for maximum reach and engagement
- **Understand why** a tweet might not perform well algorithmically
- **Rewrite tweets** to align with Twitter's ranking mechanisms
- **Improve content strategy** based on the actual ranking algorithms
- **Debug underperforming content** and increase visibility
- **Maximize engagement signals** that Twitter's algorithms track

## What This Skill Does

1. **Analyzes tweets** against Twitter's core recommendation algorithms
2. **Identifies optimization opportunities** based on engagement signals
3. **Rewrites and edits tweets** to improve algorithmic ranking
4. **Explains the "why"** behind recommendations using algorithm insights
5. **Applies Real-graph, SimClusters, and TwHIN principles** to content strategy
6. **Provides engagement-boosting tactics** grounded in Twitter's actual systems

## How It Works: Twitter's Algorithm Architecture

Twitter's recommendation system uses multiple interconnected models:

### Core Ranking Models

**Real-graph**: Predicts interaction likelihood between users
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add davepoon/buildwithclaude/twitter-algorithm-optimizer@sha256:2571be7c09ba5d58

The line at the top of this page pins the label git:20260218.645c646, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_mvvumzj7rweolshy.svg)](https://markdownregistry.com/a/art_mvvumzj7rweolshy)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Feb 18, 2026.

versioncommittedcommitsizeaudit
git:20260218.645c646 latest2026-02-18 645c646 12,965 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (12965 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

davepoon/buildwithclaude · 3,724 stars · license MIT · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_mvvumzj7rweolshy
GET https://markdownregistry.com/api/v1/resolve?ref=davepoon/buildwithclaude/twitter-algorithm-optimizer
GET https://markdownregistry.com/api/v1/blob/2571be7c09ba5d5819f83bfb6391110f0a21b0d740848d7ec6f890a59818ceac

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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