Ce Promote logo

Ce Promote

OrganizationPopular
EveryInc
ce-promote

Draft launch or promotion copy for a shipped feature.

Overview

PublisherEveryInc
Repositorycompound-engineering-plugin
Skill namece-promote
Stars
25.1K
Forks
2.1K
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by EveryInc on GitHub. Read the source before you install it.

Installation

Install the Ce Promote AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/EveryInc/compound-engineering-plugin.git /tmp/compound-engineering-plugin
mkdir -p .claude/skills
cp -r /tmp/compound-engineering-plugin/skills/ce-promote .claude/skills/ce-promote
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ce Promote in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ce Promote on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ce Promote is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Promotion Copy

Turn a feature that just shipped into copy-pasteable, user-facing announcement copy, right inside the engineering workflow — so the messaging doesn't wait for a separate marketing pass.

Done when: every drafted channel is presented as a labeled, copy-pasteable block and the user has been offered a revision. This skill drafts only — it never posts, publishes, schedules, commits, or opens PRs. Posting is a human action.

It works with or without Spiral: with nothing installed it drafts directly from the editorial and social fundamentals in Path B (Direct drafting). When the Spiral CLI is present and authed, drafts come back voice-matched to the user's brand — an enhancement, never a requirement.

Phase 1 — Figure out what shipped

A free-form description in the arguments is the source of truth. Otherwise derive it from context, using what is available and never waiting on any single source:

  • Merged/active PRgh pr view --json title,body,url (the title and body usually state the user-facing value)
  • The diffgit diff main...HEAD --stat, skimming notable changes so the claim is grounded in what actually changed
  • Changelog — the top or [Unreleased] entry in docs/changelog.md, CHANGELOG.md, or similar
  • Recent commitsgit log --oneline -15 for the arc of the change

Then write a 1-3 sentence summary of the user-facing value: what a user can now do that they couldn't before, and why they'd care. Outcome, not implementation — "You can now export any report to CSV in one click", not "Added a CsvSerializer and an export endpoint." If you can't confidently tell what shipped, ask one short question rather than guessing.

Phase 2 — Pick channels

Default to an X post (or short thread) plus a one-line changelog / release blurb. If the user named channels — LinkedIn, email, a blog intro, a demo script — draft those instead of or in addition to the defaults. Scale to the change: a small fix warrants one or two short drafts, a flagship feature a cross-channel set. Don't force a fixed template.

Phase 3 — Draft the copy

Detect Spiral's state with two quick, non-blocking commands:

bash
which spiral
spiral auth status --json 2>/dev/null
  • No binary -> Absent
  • "authenticated": true -> Ready
  • "authenticated": false -> Unauthed
  • Output isn't JSON (older CLI that ignores --json) -> ready iff it contains spiral_sk_, else unauthed

Ready -> Path A (Spiral ready). Absent or Unauthed -> Path 0 (Offer Spiral setup), then Path A if setup completes, else Path B (Direct drafting). Never let a Spiral failure, timeout, or odd output block or slow the skill — when in doubt, treat it as not-ready and continue.

Path 0 — Offer Spiral setup (once, declinable)

Go straight to Path B when running non-interactively — there is no human to answer. Otherwise offer setup once: read references/spiral-cli.md and follow its Path 0 section for the opt-out check, the blocking question, the agent-run spiral login --json flow (the API key never passes through the agent, and the user never pastes one into chat), the install path, and how the opt-out is recorded. Skip to Path B only when that check finds a recorded opt-out. That section defines what counts as recorded; a naive config scan misreads ce-setup's commented template example as one, silently suppressing the offer.

Two properties that section depends on: any dismissal records the opt-out, so a single first-run decline stops the offer for good in this repo, and a decline always proceeds to Path B rather than blocking. If a human is present but no blocking-question tool is in the current tool list, fall back to a numbered list of the two options in chat and wait — do not skip the offer, and never call a user-facing question tool to discover whether one exists.

Path A — Spiral ready (voice-matched)

Read references/spiral-cli.md before composing the prompt. Whether Spiral returns a multi-channel set or several variations of one channel is phrasing-driven (channel keywords and cue words vs. --num-drafts), and getting it wrong silently returns the wrong number or shape of drafts — don't restate those rules from memory.

Always pass --instant and --json; parse drafts[] (each carries its own channel) plus session_id. Present every returned draft, grouped by channel — Spiral decides how many drafts per channel, so never assume one-per-channel or drop extras. If the spiral write call errors or returns no usable drafts, fall back silently to Path B for the affected channels.

Path B — Direct drafting

No Spiral needed. Draft every channel through the ce-noslop skill. (The Spiral path goes further: brand-voice matching, humanization, saved styles, and cross-channel campaign orchestration.)

Every channel:

  • Lead with the user-facing outcome — what someone can now do, not how it was built.
  • One idea per piece.

Distributed channels: the first line is the hook and has to make the reader want the next line (feeds truncate). No preamble. Match each channel's native shape and length; never reuse one draft verbatim across channels. One clear CTA where the channel supports it. Hashtags 0-2, and only where the channel expects them.

Per channel:

  • X — value in the first line; ~1-3 tight lines. Thread only when there's more than one beat worth its own line.
  • Changelog / release blurb — one declarative line naming the new capability. Plain, not promotional.
  • LinkedIn — a short paragraph: human angle (why it matters), then the what. Warmer than X.
  • Email — benefit-stating subject + 2-4 sentence body + one CTA.
  • Blog intro — one opening paragraph framing the problem and the new capability; leave the deep-dive to the author.
  • Demo script — 3-6 spoken beats: hook, problem, action, payoff.

One strong draft per channel by default; produce more only when asked ("3 tweet options"), capped at ~3.

Phase 4 — Present the drafts

Show every draft as a clean, copy-pasteable block labeled by channel:

### X post
<the copy>

When Path A produced them, also show the session_id and each draft's url so the user can open and tweak them in the Spiral web app. Offer to revise (tone, length, angle, more variations, another channel). Do not post, publish, schedule, commit, or open a PR — end by reminding the user the drafts are theirs to ship.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ce Promote AI skill do?

Draft launch or promotion copy for a shipped feature.

Why use Ce Promote on TypingMind?

Because you install it once and use it with any model. Ce Promote is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ce Promote in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/EveryInc/compound-engineering-plugin/tree/main/skills/ce-promote. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ce Promote?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ce Promote?

As many as you like. As long as a model supports skills, you can use Ce Promote with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ce Promote AI skill free?

Yes. It is published on GitHub by EveryInc under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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