content-workflow: Skill for Claude Code

.claude/skills/generate-branded-slides/SKILL.md

generate-branded-slides is a skill for Claude Code from robinsadeghpour/content-workflow. It costs 56 tokens per session (1,607 once invoked), scanned A, original, MIT.

A renderer for LinkedIn carousel slides, which are multi-page posts, based on an existing visual brand template.

In plain words
What is it for?
It helps turn a structured slide specification into 1080×1350 PNG slides and optionally a PDF; it does not write the copy or research the topic.
Why use it?
It removes the need to format each branded slide manually after the text and slide structure are decided.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths; mentions subagents; mentions Claude Code.

This is robinsadeghpour/content-workflow's own configuration. It tells Claude Code how to work on content-workflow itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything content-workflow configures →

Reuse

Borrowing it

Nothing to install: this file belongs to robinsadeghpour/content-workflow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/robinsadeghpour/content-workflow/main/.claude/skills/generate-branded-slides/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/robinsadeghpour/content-workflow

Made for: Claude Code.

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 generate-branded-slides

README.md
[![agentmods](https://agentmods.dev/badge/skills/robinsadeghpour/content-workflow/generate-branded-slides/github.svg)](https://agentmods.dev/skills/robinsadeghpour/content-workflow/generate-branded-slides)
Your own site
<a href="https://agentmods.dev/skills/robinsadeghpour/content-workflow/generate-branded-slides"><img src="https://agentmods.dev/badge/skills/robinsadeghpour/content-workflow/generate-branded-slides/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 generate-branded-slides

Your own site · 80×15
<a href="https://agentmods.dev/skills/robinsadeghpour/content-workflow/generate-branded-slides"><img src="https://agentmods.dev/badge/skills/robinsadeghpour/content-workflow/generate-branded-slides.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,607 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 $0.00056 $0.01607
Opus 5 $0.00028 $0.00804
Sonnet 5 $0.00011 $0.00321
Haiku 4.5 $0.00006 $0.00161

Measured 9d ago against content hash 47513d9c4052, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

generate-branded-slides 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 9d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/build.py, scripts/render.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.claude/skills/generate-branded-slides/SKILL.md · 166 lines

How it starts

The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.

generate-branded-slides

Branded slide renderer for LinkedIn. Outputs 1080×1350 PNGs (and optional PDF) using example brand templates. Output only — does not write copy, do research, or invoke humanizer.

LinkedIn only. TikTok and Instagram NEVER use branded templates — they use generate-personal-slides (real photos from the catalog). The skill itself is platform-agnostic at the renderer level, but the project rule is firm: branded = LinkedIn, personal = TikTok/Instagram.

When to use

  • LinkedIn carousel post — caller has finalized post copy and a slide breakdown
  • /generate-content orchestrator delegates the LinkedIn visual step here

When NOT to use

  • Target platform is TikTok or Instagram → use generate-personal-slides (real photos)
  • Caller hasn't decided slide copy → upstream content skill first
  • Output isn't carousel slides (e.g., infographic) → use platform-specific skill

Inputs

Required: a slide spec (JSON)

{
  "filename": "stack-2026-04-28",
  "slides": [
    {
      "layout": "hook",
      "kicker": "6 Tools",
      "headline": "The Claude Code stack<br/>running my<br/>Outbound."
    },
    {
      "layout": "numbered",
      "numeral": "01",
      "headline": "gtm-skills",
      "tag": "marketplace",
      "body": [
        "The whole pipeline as skills.",
        "Each step is a markdown file. Edit one prompt and the whole pipeline rewires."
      ],
      "pipeline": "hypothesis → list → enrichment → email gen → verification → send"
    },
    {
      "layout": "bullets",
      "kicker": "Feature 02",
      "headline": "What you get",
      "bullets": [
        "Parallel execution across subagents",
        "Isolated context windows per agent"
      ]
    },
    {
      "layout": "quote",
      "quote": "Same outbound. Without the SaaS tax.",
      "attribution": "— A folder of prompts & a few API keys"
    }
  ]
}

Layout types

layout Required keys Optional keys Use for
hook headline kicker Slide 1 — title card
numbered numeral, headline tag, body[], pipeline Numbered list items
bullets headline, bullets[] kicker Feature lists
quote quote attribution Pull quote / closing
image-overlay image (absolute path) kicker, headline, caption Real screenshot / chart / repo card proof slide. Caller passes an absolute PNG path. For GitHub repo cards, dispatch the repo-screenshot subagent and use its returned path. No synthesized fake-terminal overlays.

Read the full file on GitHub · 166 lines

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. 9d ago First seen · 166 lines · 56 tokens per session scan A 47513d9c4052

Subscribe to this mod's changes

generate-branded-slides is a skill published in the GitHub repository robinsadeghpour/content-workflow (55 stars, last pushed 4mo ago), licensed MIT. It adds 56 tokens to every session and 1,607 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 2026-08-30.

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