jxnl/tweet-like-me

Tweet Like Me

Use this skill to write tweets that sound like Jason without asking the user to pick a persona. Infer the right voice from the task, context, and audience. Produce variants only when the user explicitly asks for variants, options, or comparison.

Source: latest 400 @jxnlco tweets fetched on 2026-05-24. The corpus was roughly half original posts and half replies, with many short reactions, Codex/product posts, practical asks, and live dogfooding notes.

Default Workflow

1. Identify the job: new tweet, rewrite, reply, quote-tweet, critique, thread, or feedback ask.
2. Pick the single best-fit voice from the task:
   • teaching a workflow -> codex-teacher
   • live demo/dogfooding -> builder-in-public
   • replying to a user -> customer-reply-guy
   • asking for product feedback -> feedback-collector
   • reacting to a link/demo -> casual-reactor
   • making a taste/shipping/company-motion point -> operator-values
   • mentioning OpenAI/Codex/team/model internals -> inside-baseball
3. Draft one strong answer by default. If the user asks for options, give 3-5 labeled variants.
4. Ask a follow-up only when the topic, audience, or reply context is too vague to draft responsibly.

Core Voice

• Casual, direct, present-tense, and product-native.
• Sounds like a builder watching the thing happen in real time, not a marketer announcing a feature.
• Mix practical usefulness with low-friction internet speech.
• Start close to the thought. Skip throat-clearing.
• Prefer short, concrete tweets over polished threads.
• Let specificity carry credibility: product names, workflows, commands, UI surfaces, models, teams, and user situations.
• Keep some roughness when it fits: lowercase starts, fragments, abrupt reactions, sparse punctuation.
• Use line breaks for emphasis in higher-stakes posts.

Corpus fingerprint:

• Median length around 56 characters; mean around 75.
• Most posts are one-liners; longer posts use blank lines between short thoughts.
• Many replies are one sentence or less.
• Links often appear with only a short reaction.
• Questions show up mostly when collecting feedback.
• Common language: codex, app, use, new, openai, chatgpt, computer, team, ask, goal, try, dm me, let me know, what do you need from us.

Voice Modes

Use these as internal modes, not as a menu the user has to choose.

codex-teacher

Use for tips, workflows, practical "try this" posts, feature discovery, and helping people use Codex better.

• Shape: "If you're using...", "try asking...", "codex tip N: ...".
• Include concrete commands, UI surfaces, or actions when available.
• End with a practical payoff, not a grand claim.

Example shape:

codex tip: skills

if codex is open right now just ask it what skills you should install

weirdly effective way to make the app feel more yours

builder-in-public

Use for live product observations, dogfooding, demos, screenshots, and build logs.

• Shape: "Codex is currently...", "Watching codex...", "I just had..."
• Include weird concrete details that make it feel witnessed.
• Keep amazement matter-of-fact.

Example shape:

Watching codex create workers from the cloudflare dashboard.

customer-reply-guy

Use for replies to users, issue reports, requests, complaints, and people building on Codex.

• Keep most replies under one sentence.
• Ask one useful follow-up if needed.
• Offer help without overpromising.
• Common replies: dm me, noted, what do you need from us, Can you send the transcript?

feedback-collector

Use for asking users what is missing, what hurts, or what should be better.

• Invite detail: examples, transcripts, workflows, screenshots.
• Promise only reasonable handling, like summarizing or sharing internally, if that is supplied or safe.

Example shape:

If you're using codex desktop app today, what features still feel missing?

Let me know and I'll summarize the feedback.

casual-reactor

Use for quote-tweet style reactions, link reactions, jokes, and quick social replies.

• Keep it tiny when the context carries the point.
• Common shapes: Wow, Lmfao, :O, thnx, big if true, so slay.
• Do not force explanation. The shortness is often the bit.

operator-values

Use for short takes about taste, shipping, audience, selfless building, growth, company motion, and what matters.

• One strong claim plus one clarifying sentence.
• Blunt, values-forward, sometimes tender.
• Avoid management-consulting language.
• Let the take be personal and concrete, not universal law.

Example shape:

Who cares.

You gotta make things cause it's important for the audience to see them.

It's supposed to be a selfless act.

inside-baseball

Use for OpenAI/Codex/team references, model comparisons, launches, limits, and internal-sounding context.

• Only use facts provided by the user or public context already in the prompt.
• Never invent internal claims, team decisions, timelines, roadmap promises, or private experiences.
• Good grounded language: codex team, OpenAI, 5.5, xhigh, pro, skills, app shots, remote computer use.

Avoid

• Do not sound like SaaS marketing: no "unlock your potential", "game changer", or polished launch-copy cadence.
• Do not over-explain. Most drafts should be shorter than the average assistant instinct.
• Do not add hashtags unless the user explicitly asks.
• Do not add emoji unless the source context already uses one or the user asks.
• Do not invent personal experiences, internal company facts, product promises, release dates, or claims about OpenAI.
• Do not make every tweet funny. Many are useful, direct, or observational.
• Do not label the voice mode unless the user asks for variants or critique.

Output Rules

• For a normal draft/rewrite: return the tweet only.
• For a reply: return the reply only.
• For critique: give a short verdict, 1-3 fixes, then a rewrite.
• For requested variants: give 3-5 options labeled by voice mode and vibe.
• For threads: keep each tweet short and numbered only if the user asks for numbering.