Twitter/X algorithm optimizer for tweet drafts
Analyze, rewrite and debug tweet drafts using Twitter's open-source algorithm insights — Real-graph, SimClusters, TwHIN, Tweepcred, engagement signals
- What
- Analyze, rewrite and debug tweet drafts using Twitter's open-source algorithm insights — Real-graph, SimClusters, TwHIN, Tweepcred, engagement signals
- Cost
- Free
- Needs
- a tweet draft (or account content strategy) to optimize; your own X/Twitter analytics to validate the strategies against; check the license terms yourself — the skill declares AGPL-3.0 in its frontmatter but the repo manifest declares no license
- Install
- Copy the installer prompt below into your Muse — your agent does the rest.
Curated by Skill Harbor — @composiohq's playbook for optimizing tweet drafts for reach and engagement using insights from Twitter's open-sourced recommendation algorithm. It explains the core ranking models — Real-graph (follower interaction likelihood), SimClusters (community detection), TwHIN (user/content knowledge-graph fit), Tweepcred (reputation/authority scoring) — the engagement signals the Unified User Actions service tracks (explicit: likes, replies, retweets, quote tweets; implicit: profile visits, clicks, dwell time, bookmarks; negative: blocks, mutes, quick skips), and the feed pipeline (candidate retrieval → ranking → filtering → delivery). Then six optimization strategies with before/after rewrite examples: maximize follower engagement, leverage community resonance, improve identity fit, build credibility, trigger engagement signals, and avoid negative signals — plus a four-step optimization process (identify the core message, map it to an algorithm strategy, optimize for signals, check against negatives), best practices (quality over virality, community first, authenticity, timing) and common pitfalls (generic statements, engagement bait, off-brand pivots, toxicity). Honest caveats: the skill grounds its tactics in the open-sourced version of the algorithm — X's live ranking has likely drifted, so treat strategies as hypotheses to test against your own analytics; **the skill declares AGPL-3.0 in its frontmatter while the repo manifest declares no license** — check the terms before reuse; this is for optimizing your own content, not for spam or harassment. Skill Harbor never reviews the code, review it yourself before use. Discovered via skills.sh.
Version:
Install
Prerequisites: a tweet draft (or account content strategy) to optimize; your own X/Twitter analytics to validate the strategies against; check the license terms yourself — the skill declares AGPL-3.0 in its frontmatter but the repo manifest declares no license Install "Twitter/X algorithm optimizer for tweet drafts" for me. It gives my agent @composiohq's playbook: the open-source ranking models (Real-graph, SimClusters, TwHIN, Tweepcred), the engagement signals tracked (explicit, implicit, negative), the feed pipeline, six optimization strategies with before/after rewrite examples, a 4-step optimization process, best practices and pitfalls — with the caveat that X's live algorithm has likely drifted from the open-sourced version, so validate against my own analytics. For optimizing my own content only. Repository: https://github.com/composiohq/awesome-claude-skills/blob/main/twitter-algorithm-optimizer/SKILL.md 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code, credentials only via the secure vault, allowed hosts declared in the SKILL.md. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "twitter-algorithm-optimizer". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. nothing — it is a strategy guide; hand the agent a tweet draft and ask for the optimization with the reasoning). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.
Questions
How do I install a build?
Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.
Where does my money go?
Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.
What does the ✓ next to a creator’s name mean?
It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.