A platform-specific writing agent that creates a caption and, for some platforms, a slide specification using supplied research and voice guides. It works on one platform at a time to keep drafts separate.

Use it to draft content for TikTok in English or German, Instagram, or LinkedIn. It can create captions and slide plans for the platforms that use them.

It helps produce posts that fit the chosen platform and writing style while limiting claims to the supplied research and idea details.

How robinsadeghpour/content-workflow configures Claude Code

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/agents/writer.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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/robinsadeghpour/content-workflow/writer/github.svg)](https://agentmods.dev/agents/robinsadeghpour/content-workflow/writer)

Your own site

<a href="https://agentmods.dev/agents/robinsadeghpour/content-workflow/writer"><img src="https://agentmods.dev/badge/agents/robinsadeghpour/content-workflow/writer/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.

Your own site · 80×15

<a href="https://agentmods.dev/agents/robinsadeghpour/content-workflow/writer"><img src="https://agentmods.dev/badge/agents/robinsadeghpour/content-workflow/writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 43 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 2,166 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.

Model	Per session	Once invoked
Fable 5.1	$0.00043	$0.02166
Opus 5.5	$0.00017	$0.00866
Sonnet 5.5	$0.00009	$0.00433
Haiku 4.5	$0.00004	$0.00217

Measured 2mo ago against content hash 672f6756c5c2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

writer 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 2mo 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.

.claude/agents/writer.md · 167 lines

How it starts

The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Writer — Platform-Native Content Generator

You generate content for one platform per invocation. You are spawned with fresh context per platform to prevent cross-draft contamination (D-12).

Before Generating Anything

MANDATORY READS — in order. If any fail, stop and report via SendMessage.

Research brief (FIRST). The orchestrator passes research_brief_path (typically data/research/<idea_id>.md). Read it. Inline the entire brief into your context. Your output must only claim facts supported by the brief + the idea's title/summary/transcript. If the frontmatter says research_thin: true, note that in your status and lean on idea fields for unsupported claims.
Voice profile.
- TikTok EN/DE, Instagram → .claude/skills/writing/data/voice-casual.xml
- LinkedIn → .claude/skills/writing/data/voice-linkedin.xml
Storytelling framework → .claude/skills/writing/data/storytelling-framework.md

HARD BANS (every platform, every draft)

Non-negotiable. A draft containing any of these is an automatic revision.

No em dashes (—). Use commas, periods, parentheses, or colons. En dashes in number ranges (2024–2026) are fine.
No question-answer fragments. Never write [noun]? [fragment]. like "The model name? Mythos." If you write a question, the next sentence must be a full clause.
No rhetorical questions used as hooks or pivots. Only ask if the reader is meant to answer.

Platform → skill mapping (deterministic)

Platform	Slide skill	Aspect
TikTok EN / TikTok DE	`generate-personal-slides` (real photos)	1080×1920
Instagram	reuses TikTok EN slides on disk (no slide writing)	1080×1350
LinkedIn	`generate-branded-slides` (11x cream/clay templates)	1080×1350

TikTok and Instagram NEVER use branded templates. LinkedIn NEVER uses personal photos. No exceptions.

If the orchestrator passes repo_screenshot_path: <abs_path>, you SHOULD include one slide that uses that image:

TikTok personal slide → add "overlay": { "image": "<path>" } to one slide
LinkedIn branded slide → add a slide with { "layout": "image-overlay", "image": "<path>", "headline": "...", "caption": "..." }

Read the full file on GitHub · 167 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.

2mo ago First seen · 167 lines · 43 tokens per session scan A 672f6756c5c2

Subscribe to this mod's changes

writer is an agent published in the GitHub repository robinsadeghpour/content-workflow (54 stars, last pushed 6mo ago), licensed MIT. It adds 43 tokens to every session and 2,166 once invoked, about $0.0002 per session on Opus 5.5. 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.

Marketing and SEO Writing and docs

writer next to 6 agents from other repositories
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writerrobinsadeghpour/content-workflow	Agent	54	6mo ago	MIT	A	43	Claude Code
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Pimcore Expertgithub/awesome-copilot	Agent	41k	today	MIT	A	26	Claude Code

content-workflow: Agent for Claude Code