E-mmanuelM
Community@E-mmanuelM
E-mmanuelM provides a multi-agent LinkedIn content pipeline covering niche research, ideation, drafting, quality scoring, image design, and cross-platform repurposing.
Agent Skills by E-mmanuelM
Showing 5 vetted skills indexed across 1 GitHub repositories.
E-mmanuelMsocial-media-designer
Generates branded LinkedIn post images by filling HTML templates and rendering 1080x1350 JPGs via Playwright.
E-mmanuelMmarketing-director
Synthesizes analytics, research, and operator feedback into weekly content direction.
E-mmanuelMideation-agent
Generates 10 scored LinkedIn content ideas from research topics and expertise data.
E-mmanuelMwriter-agent
Drafts LinkedIn posts in the owner's voice from approved content ideas.
E-mmanuelManalytics-agent
Reviews weekly LinkedIn post performance and feeds engagement patterns back to the content pipeline.
Frequently Asked Questions About E-mmanuelM
FAQPage SchemaWhat tasks can I automate using E-mmanuelM's skills?▼
You can automate weekly niche trend research, generate 10 scored content ideas, draft LinkedIn posts in your voice, score drafts against a 35/50 quality gate, render branded 1080x1350 LinkedIn JPGs from HTML templates, and repurpose published posts into X threads, Substack drafts, and TikTok slides.
Who is the target user for these content pipeline skills?▼
The skills target a single content owner or solo operator running a personal LinkedIn brand. Humans stay in the loop via Telegram for idea multi-select and draft review, while agents handle research, writing, scoring, design, and repurposing under a weekly Marketing Director synthesis.
How do the skills run and in what order?▼
Agents run weekly via cron: Research Agent first, then Marketing Director, then Ideation Agent on planning day. Writer Agent drafts approved ideas, Quality Agent scores them before Telegram review, Social Media Designer renders images via scripts/render_template.py, and Repurposing Agent triggers after LinkedIn publication.
What prerequisites and dependencies do these skills require?▼
Each skill requires Bash, Read, and Write tool access. The pipeline depends on config files (niche.md, voice.md, quality-standards.md, content-boundaries.md, linkedin-playbook.md), rules/ platform guidelines, an IP library, scripts/render_template.py, Telegram integration, and Supabase for storage.
Is the analytics capability fully available?▼
No. The analytics-agent, intended as a weekly performance reviewer that identifies content patterns and feeds insights back into the pipeline, is explicitly marked as a future feature and not yet fully built. All other seven skills are defined and operational in the manifest.