multi-channel-publishing

multi-channel-publishing is a skill for Claude Code, Codex from Avyayalaya/agent-prime. It costs 64 tokens per session (19,355 once invoked), scanned A, original, MIT.

A method for turning one long piece of content into versions suited to different channels. Each version keeps the original argument while adapting its length, format, and tone.

In plain words
What is it for?
Creating LinkedIn posts, conference abstracts, podcast briefs, newsletter summaries, social-media threads, spoken scripts, and executive briefings.
Why use it?
It saves the work of rewriting the same idea from scratch and reduces the risk of losing important evidence or meaning during shortening.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Codex.

Good fit Creating LinkedIn posts, conference abstracts, podcast briefs, newsletter summaries, social-media threads, spoken scripts, and executive briefings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/avyayalaya/agent-prime/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/agent-prime --skill multi-channel-publishing
Clone the repo
git clone --depth 1 https://github.com/Avyayalaya/agent-prime

Made for: Claude Code, Codex.

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/agent-prime/multi-channel-publishing/github.svg)](https://agentmods.dev/skills/avyayalaya/agent-prime/multi-channel-publishing)
Your own site
<a href="https://agentmods.dev/skills/avyayalaya/agent-prime/multi-channel-publishing"><img src="https://agentmods.dev/badge/skills/avyayalaya/agent-prime/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/agent-prime/multi-channel-publishing"><img src="https://agentmods.dev/badge/skills/avyayalaya/agent-prime/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 19,355 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 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 5.1 $0.00064 $0.19355
Opus 5 $0.00032 $0.09677
Sonnet 5 $0.00013 $0.03871
Haiku 4.5 $0.00006 $0.01936

Measured 10d ago against content hash dc2b035ef055, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, 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 10d 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

Copies of this mod

1 near-identical copy found in the catalogue:

shared/toolkits/skills/multi-channel-publishing/SKILL.md · 1,073 lines

How it starts

The opening of the file, as written. The whole thing — 1,073 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 · 1,073 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. 10d ago First seen · 1,073 lines · 64 tokens per session scan A dc2b035ef055

Subscribe to this mod's changes

multi-channel-publishing is a skill published in the GitHub repository Avyayalaya/agent-prime (8 stars, last pushed 3mo ago), licensed MIT. It adds 64 tokens to every session and 19,355 once invoked, about $0.0003 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.

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