channel-formats

A tool that reshapes one piece of content for different platforms, such as LinkedIn, X, newsletters, Instagram, YouTube, short video, or blogs.

In plain words
What is it for?
Use it to turn source material into ready-to-paste drafts for one or more supported channels, using the project’s brand profile.
Why use it?
Each platform has different length limits, structure, and audience conventions, so the same source text needs a different form.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/localplugins/plugins/channel-formats
Any agent
npx skills add localplugins/plugins --skill channel-formats
Clone the repo
git clone --depth 1 https://github.com/localplugins/plugins

Made for: Claude Code, Codex.

Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,175 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00075 $0.01175
Opus 5 $0.00037 $0.00588
Sonnet 5 $0.00015 $0.00235
Haiku 4.5 $0.00007 $0.00118

Measured yesterday against content hash 6cb892209d45, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

channel-formats scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

content-multiplier/skills/channel-formats/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Channel Formats

Overview

Channel Formats adapts a single source into the shape each platform expects, then hands the draft to the brand layer. Format is the container; brand voice is the content.

Every channel has its own limits and conventions: a LinkedIn post is not an X thread, and a YouTube description is not an Instagram caption. This skill reads the spec for the requested channel from the plugin's bundled channels/<id>.md files, drafts to that spec, and enforces the length limit. It is instruction-driven and writes ready-to-paste files, with no accounts, keys, or network access.

Prerequisites

  • The source content to adapt (a file path or pasted text) and one or more target channels.
  • The bundled channel specs, which ship inside this skill at channels/. The skill uses Glob and Read to load the right spec and Write to save each derivative.
  • An active brand profile so the brand-voice skill can run on top; if none exists, the caller is pointed to /brand-setup.

Channels (canonical IDs)

The channel ID is also the output filename (for example linkedin.md).

Instructions

  1. Identify the target channel by its canonical ID from the list above.
  2. Read that channel's spec in channels/<id>.md — each spec defines Format, Length, Structure, Do, and Avoid.
  3. Draft the derivative to the spec, mapping the source's core message onto that channel's hook and structure.
  4. Check the character or word count and enforce the channel's limit; trim or split as the spec requires.
  5. Run the brand-voice self-check so the draft obeys the brand's tone, glossary, and compliance rules.
  6. For localized copy, re-fit after transcreation because text expands or contracts across languages.
  7. Write one file per derivative, named after the channel ID.

Read the full file on GitHub · 100 lines

Files

What ships with it

9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 100 lines · 75 tokens per session scan A 6cb892209d45

Subscribe to this mod's changes

channel-formats is a skill published in the GitHub repository localplugins/plugins (5 stars, last pushed 1mo ago), licensed MIT. It adds 75 tokens to every session and 1,175 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.