multi-channel-publishing

multi-channel-publishing is a skill for Claude Code from Avyayalaya/pm-skills-arsenal. It costs 64 tokens per session (20,652 once invoked), scanned A, a copy of multi-channel-publishing, MIT.

A content-repurposing guide turns a long document into formats for specific channels, such as LinkedIn posts, conference abstracts, podcast briefs, newsletters, tweet threads, or spoken scripts.

In plain words
What is it for?
Use it to create one or several publishable versions from an article, thesis, blog post, or other source document.
Why use it?
It helps preserve the original argument and supporting evidence while adapting length, structure, tone, and opening style to each audience and channel.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Codex.

Part of the pm-skills plugin — 12 skills, 1 hook, 1 MCP server shipped together

Good fit Use it to create one or several publishable versions from an article, thesis, blog post, or other source document.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/avyayalaya/pm-skills-arsenal/multi-channel-publishing
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.

Any agent
npx skills add Avyayalaya/pm-skills-arsenal --skill multi-channel-publishing
Clone the repo
git clone --depth 1 https://github.com/Avyayalaya/pm-skills-arsenal

Made for: Claude Code.

Or install pm-skills, the plugin that ships this one along with the rest of its 12 skills, 1 hook, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for multi-channel-publishing

README.md
[![agentmods](https://agentmods.dev/badge/skills/avyayalaya/pm-skills-arsenal/multi-channel-publishing/github.svg)](https://agentmods.dev/skills/avyayalaya/pm-skills-arsenal/multi-channel-publishing)
Your own site
<a href="https://agentmods.dev/skills/avyayalaya/pm-skills-arsenal/multi-channel-publishing"><img src="https://agentmods.dev/badge/skills/avyayalaya/pm-skills-arsenal/multi-channel-publishing/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for multi-channel-publishing

Your own site · 80×15
<a href="https://agentmods.dev/skills/avyayalaya/pm-skills-arsenal/multi-channel-publishing"><img src="https://agentmods.dev/badge/skills/avyayalaya/pm-skills-arsenal/multi-channel-publishing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 20,652 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 86% copy Near-identical to another mod 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 5.1 $0.00064 $0.20652
Opus 5 $0.00032 $0.10326
Sonnet 5 $0.00013 $0.04130
Haiku 4.5 $0.00006 $0.02065

Measured 12d ago against content hash 67567110da87, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

multi-channel-publishing 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 12d ago.

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.

Origin

This is a copy

86% identical to multi-channel-publishing — 77 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/multi-channel-publishing/SKILL.md · 1,148 lines

How it starts

The opening of the file, as written. The whole thing — 1,148 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

Produce a channel-ready content derivative from a source document — not a summary, but a structurally adapted compression that preserves the source's thesis, maintains evidence fidelity, and conforms to the target channel's format constraints, audience expectations, and hook conventions. The output is a publishable artifact with a compression log proving nothing was lost by accident.

When to Use / When NOT to Use

Use this skill when:

  • Repurposing a long-form article (Substack, blog, thesis) into a LinkedIn post, conference abstract, podcast brief, newsletter, tweet thread, spoken script, or executive briefing
  • Deriving a compressed format from a full argument (compression direction: long → short)
  • Adapting content for a new audience or channel while preserving the core claim
  • Producing a spoken script from written beats or a conference proposal
  • Creating a distribution package (multiple derivatives from one source)

Do NOT use this skill when:

  • You need to write the original long-form piece (use the source-appropriate writing methodology first — P2: Substack first, derivatives second)
  • You need to combine multiple sources into one synthesis (use Narrative Building or Problem Framing)
  • You need to translate between languages (this is structural adaptation, not linguistic translation)
  • The source document is internal/confidential and the target channel is public (Context Gate will catch this, but flag it early)
  • You need a generic summary for no specific audience or channel (summaries without channel constraints produce FM-1: Summary, Not Derivative)

Anti-inputs (what this skill does NOT handle):

  • Original content creation from scratch (this skill DERIVES, it does not originate)
  • Content strategy or editorial calendar planning (this is a single-derivation tool)
  • SEO optimization (channel format rules include discoverability principles, but this is not an SEO skill)
  • Visual design or layout (this produces text; design is a separate discipline)

Read the full file on GitHub · 1,148 lines

Files

What ships with it

1 file 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. 12d ago First seen · 1,148 lines · 64 tokens per session scan A 67567110da87

Subscribe to this mod's changes

multi-channel-publishing is a skill published in the GitHub repository Avyayalaya/pm-skills-arsenal (6 stars, last pushed 3mo ago), licensed MIT. It adds 64 tokens to every session and 20,652 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to multi-channel-publishing, differing in 77 lines, and is treated as a copy.

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