---
name: write-post-a171ed0c5005
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:

```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`.


---
Source attribution: Arindam200
Original project: https://github.com/Arindam200/awesome-ai-apps
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: Arindam200
Original project: https://github.com/Arindam200/awesome-ai-apps
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Marketing
Roles: Content Marketer, Influencer Marketer, Social Media Manager
Specialties: Specialty not specified
Tools: Linkedin Writer
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: ece82e0a4302580bec5e2582cd69a2ee868c76e591f58851bfe4fb11ee68fbf9