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.
curl -O https://raw.githubusercontent.com/robinsadeghpour/content-workflow/main/.claude/skills/generate-branded-slides/SKILL.mdgit clone --depth 1 https://github.com/robinsadeghpour/content-workflowWrote 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.
[](https://agentmods.dev/skills/robinsadeghpour/content-workflow/generate-branded-slides)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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.
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-contentorchestrator 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. |
What ships with it
10 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.
- assets/example-background.png 688 KB
- assets/example-logotype.svg 240 B
- references/brand-tokens.md 1.4 KB
- scripts/build.py 14 KB runs code
- scripts/render.py 2.0 KB runs code
- templates/bullets.html 4.7 KB
- templates/hook.html 4.0 KB
- templates/image-overlay.html 4.5 KB
- templates/numbered.html 4.2 KB
- templates/quote.html 4.1 KB
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.
- 9d ago First seen · 166 lines · 56 tokens per session scan A 47513d9c4052
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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