SuperAPI AI Directory

essay-publishing-pipeline

Writing & research

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Updated 10-15 09:41

About this skill

Essay Publishing Pipeline

Move written content from draft through editing, formatting, and multi-platform distribution.

Pipeline Architecture

Draft → Edit → Format → Metadata → Build → Publish → Distribute
  ↑                                                      │
  └──────────── Feedback Loop ───────────────────────────┘

Stage Definitions

Stage Input Output Tools
Draft Ideas, notes Raw markdown Editor, voice notes
Edit Raw markdown Polished markdown Linter, peer review
Format Polished markdown Structured content Frontmatter, templates
Metadata Structured content Enriched content Tags, categories, SEO
Build Enriched content HTML/PDF output SSG, Pandoc
Publish Built output Live content Deploy, CMS API
Distribute Published URL Cross-posts RSS, social, newsletter

Content Structure

Markdown with Frontmatter

---
title: "On the Architecture of Automated Systems"
subtitle: "Why eight organs beat one monolith"
author: "Author Name"
date: 2026-03-20
updated: 2026-03-20
status: published
tags: [architecture, automation, organvm]
category: systems-thinking
series: "Orchestration Essays"
series_order: 3
abstract: >
  A 2000-word exploration of why modular organ-based
  architecture outperforms monolithic automation.
canonical_url: "https://example.com/essays/architecture-of-automated-systems"
---

# On the Architecture of Automated Systems

Opening paragraph that hooks the reader...

Essay Taxonomy

Field Purpose Example
status Workflow state draft, review, published, archived
tags Topic classification [architecture, automation]
category Primary category systems-thinking
series Multi-part grouping "Orchestration Essays"
canonical_url SEO canonical Primary publication URL
abstract Summary for feeds/cards 1-2 sentence summary

Markdown Processing

Conversion Pipeline

# Markdown → HTML with Pandoc
pandoc essay.md \
  --from markdown+yaml_metadata_block \
  --to html5 \
  --template template.html \
  --highlight-style tango \
  --toc \
  --toc-depth=2 \
  --output essay.html

# Markdown → PDF
pandoc essay.md \
  --pdf-engine=weasyprint \
  --css style.css \
  --output essay.pdf

Static Site Generator Integration

# Build script for essay collection
from pathlib import Path
import yaml
import markdown

def build_essays(source_dir: str, output_dir: str):
    essays = []
    for md_file in sorted(Path(source_dir).glob("*.md")):
        text = md_file.read_text()
        frontmatter, content = text.split("---\n", 2)[1:]
        meta = yaml.safe_load(frontmatter)
        if meta.get("status") != "published":
            continue
        html = markdown.markdown(content, extensions=["fenced_code", "tables", "toc"])
        essays.append({"meta": meta, "html": html, "slug": md_file.stem})

    for essay in essays:
        output = Path(output_dir) / f"{essay['slug']}/index.html"
        output.parent.mkdir(parents=True, exist_ok=True)
        output.write_text(render_template(essay))

    build_index(essays, output_dir)
    build_rss_feed(essays, output_dir)

RSS/Atom Feed Generation

from datetime import datetime
import xml.etree.ElementTree as ET

def build_rss_feed(essays: list[dict], output_dir: str):
    rss = ET.Element("rss", version="2.0")
    channel = ET.SubElement(rss, "channel")
    ET.SubElement(channel, "title").text = "Essay Collection"
    ET.SubElement(channel, "link").text = "https://example.com/essays"
    ET.SubElement(channel, "description").text = "Long-form writing on systems and culture"

    for essay in essays[:20]:
        item = ET.SubElement(channel, "item")
        ET.SubElement(item, "title").text = essay["meta"]["title"]
        ET.SubElement(item, "link").text = f"https://example.com/essays/{essay['slug']}"
        ET.SubElement(item, "description").text = essay["meta"].get("abstract", "")
        ET.SubElement(item, "pubDate").text = essay["meta"]["date"].strftime(
            "%a, %d %b %Y 00:00:00 GMT"
        )

    tree = ET.ElementTree(rss)
    tree.write(f"{output_dir}/feed.xml", xml_declaration=True, encoding="utf-8")

Cross-Posting Strategy

POSSE (Publish on Own Site, Syndicate Elsewhere)

Own site (canonical) → Medium → Dev.to → LinkedIn → Newsletter
                    ↗          ↗
            RSS feed triggers automation

Cross-Post Formatting

Platform Format Limits Notes
Own site Full HTML None Canonical URL
Medium Markdown import None Set canonical URL
Dev.to Markdown + frontmatter None Use API for automation
LinkedIn Plain text + link 3000 chars Excerpt + link to full
Newsletter HTML email Images inline Adapt layout for email

Automated Cross-Posting

async def cross_post(essay: dict):
    canonical = essay["meta"]["canonical_url"]

    # Dev.to
    await devto_api.create_article(
        title=essay["meta"]["title"],
        body_markdown=essay["content"],
        canonical_url=canonical,
        tags=essay["meta"]["tags"][:4],
        published=True,
    )

    # Newsletter
    await newsletter_api.create_campaign(
        subject=essay["meta"]["title"],
        html=render_email_template(essay),
    )

Quality Gates

Pre-Publish Checklist

  • Spell check and grammar review
  • Links verified (no 404s)
  • Images optimized and alt-text present
  • Frontmatter complete (title, date, tags, abstract)
  • Canonical URL set
  • Open Graph / social card metadata present
  • RSS feed validates
  • Mobile rendering verified

SEO Metadata

<meta property="og:title" content="Essay Title">
<meta property="og:description" content="Abstract text">
<meta property="og:type" content="article">
<meta property="og:url" content="https://example.com/essays/slug">
<meta name="twitter:card" content="summary_large_image">

Anti-Patterns

  • Publishing without canonical URL — Leads to duplicate content SEO penalties
  • Manual cross-posting — Automate with APIs and RSS triggers
  • No RSS feed — Essential for syndication and discoverability
  • Draft content leaking — Always check status field before building
  • No versioning — Track updated date for revised essays
  • Platform-first publishing — Always publish on own domain first (POSSE)