write-post

# Write LinkedIn Post Generate a LinkedIn post using the `linkedin-writer` MCP server. ## Working Directory All output goes into `outputs/{slug}/` relative to the project root. Derive the slug from: - The dataset seed/guideline filename if the user references one (e.g., `my-topic_seed.md` → `my-topic`) - Otherwise, slugify the topic (lowercase, hyphens, no special chars, max 60 chars) Create the directory if it doesn't exist. ## Input Preparation The working directory needs `guideline.md` and `research.md`. If the user provides raw text for the guideline, create `guideline.md` in the working directory: ```markdown # LinkedIn Post Guideline ## Topic [What the post is about] ## Angle [What perspective or approach to take] ## Target Audience [Who this post is for] ## Key Points to Cover [3-5 bullet points] ## Tone [How it should sound] ``` If `research.md` is in a different location, copy it into the working directory. ## Execution Read the `WORKFLOW_INSTRUCTIONS` from `src/writing/routers/prompts.py` and follow those steps exactly, using the `linkedin-writer` MCP tools. Pass `outputs/{slug}/` as the working directory path to each tool. ## After Completion Present the final `outputs/{slug}/post.md` content to the user. If an image was generated, mention `outputs/{slug}/post_image.png`.