| name | write-post |
| description | Generate a LinkedIn post using the LinkedIn Writer MCP server. Use this skill whenever the user wants to write a LinkedIn post, create social media content, draft a post from research, or generate a post with an image. Triggers on: 'write a post', 'create a LinkedIn post', 'draft a post about', 'turn this into a post', 'generate a post', or any request involving LinkedIn content creation. Also use when the user has a guideline.md and research.md ready. |
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:
# 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.
