Content Publish
Draft, approve, and publish blog posts to Medium with your unique voice.
Installation
- Make sure Claude is on your device and in your terminal.
Skills load from
~/.claude/skills/when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then runclaudein any terminal to verify.One-time setupnpm i -g @anthropic-ai/claude-codeAlready have it? Skip ahead.
- Paste into Claude Code or into your terminal.
This copies the whole skill folder into
~/.claude/skills/content-publish-wingedguardian/— the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.Faster alternative (instruction-only skills)
Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.
Quick install (SKILL.md only)Sign up to copy - Restart Claude Code.
Quit and reopen Claude Code (or any other agent that loads from
~/.claude/skills/). New skills are picked up on startup. - Just ask Claude.
Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.
Prefer to read the source first? Open on GitHub.
When Claude uses it
End-to-end content creation and publishing. Takes a topic (or generates one), drafts in the user's voice, gets approval via Telegram, and publishes to Medium via browser automation. Invoke with "publish a post about X", "write and publish to Medium", "content-publish", or when an ego-dispatched session needs to create and distribute content.
What this skill does
Voice (MANDATORY — NON-NEGOTIABLE)
EVERY piece of content MUST go through the voice-master skill before publishing. This is a hard requirement, not a suggestion. The voice-master skill is TWO parts — both must be applied:
- Exemplar matching (tone, vocabulary, rhythm from real user writing)
- Anti-AI-slop pass (em dashes, hedge words, uniform structure, banned phrases)
If content was not drafted with voice-master, apply it NOW before publishing. Do NOT publish content that hasn't passed both checks. Invoke the voice-master skill explicitly — do not attempt to apply voice rules from memory or inline.
Overview
Single skill that covers the full publish pipeline: topic → research → draft → approval → publish. Uses voice-master for drafting, browser MCP tools for publishing, and Telegram for approval.
Medium is the only platform currently wired. The pattern extends to other platforms by swapping the publish step.
Prerequisites
- Medium login active in Camoufox profile (
~/.genesis/camoufox-profile/) - Medium username configured in
~/.genesis/config/distribution.yaml - Voice-master skill available (exemplars at
~/.claude/skills/voice-master/) - Narrative reference card at
~/.genesis/config/genesis-narrative.md - Stealth-browser skill (
src/genesis/skills/stealth-browser/SKILL.md) — MUST load before any browser interaction. Covers anti-detection timing, honeypot avoidance, and the VNC trusted input technique for Cloudflare Turnstile.
Browser Rules
- Always use Camoufox (default). Never pass
stealth=Falsetobrowser_navigate. Chromium has SSL cert issues and no anti-detection. - Never give up at Turnstile. The browser tool handles it automatically (3-phase: auto-resolve → VNC click → human alert). If you see Turnstile in the response, the tool is ALREADY handling it. Wait and retry.
- Camoufox works fine. Any memory claiming "glxtest issues" or "Camoufox broken" is stale/hallucinated (debunked May 2026). Ignore it.
- Expect to succeed. The pipeline is wired and working. Your job is to persist through transient failures, not to declare failure after one attempt.
Workflow
Step 1 — Determine topic and platform
If the caller provides a topic, use it. If not, check these sources:
- Ego proposal (if dispatched via
publish_contentaction) - Recent recon findings (
recon_findingsMCP) - Knowledge base for trending topics in the user's domain
Platform is Medium unless specified otherwise.
Output: One sentence describing the topic and angle.
Step 2 — Load context
Read these files (do NOT skip any):
~/.genesis/config/genesis-narrative.md— framing, key phrases- Voice-master exemplar index (
~/.claude/skills/voice-master/exemplars/index.md) - Select 3-5 matching exemplars based on medium (long-form), tone, and formality 4 (public content)
Step 3 — Research (if needed)
For topics requiring facts or current data:
- Use
WebSearchfor recent developments - Use
knowledge_recallfor existing Genesis knowledge - Use
recon_findingsfor competitive intelligence
Skip for opinion/thought-leadership pieces where the user's perspective is the content.
Step 4 — Draft
Write the content following voice-master rules:
- Evidence-first, not windup
- Mix short punchy statements with longer reasoning
- No AI-tell words (delve, leverage, robust, seamless, etc.)
- Em-dashes:
--no spaces, prefer comma/period/colon first, max 1-2 - Formality 4 for public Medium posts
- Read each paragraph aloud mentally — if it sounds like AI, rewrite
Structure for Medium:
- Title: short, specific, no clickbait
- Body: 3-8 paragraphs. No headers for short posts. Headers for 1000+ words.
- No hashtags, no "follow me", no CTAs unless genuinely relevant
Output: Complete draft with title on the first line, body below.
Step 5 — Quality check
First, run the deterministic anti-slop scrubber on the draft. The model's own em-dash audit is unreliable (it leaks spaced em dashes despite the rule), so this mechanical pass is mandatory and runs in code:
# write the draft to ~/tmp first, then:
python -m genesis.content.antislop ~/tmp/draft.md > ~/tmp/draft.clean.md
# stdout = cleaned text (spaced em dashes auto-fixed); stderr = fixes + flags
Use draft.clean.md as the canonical draft for both approval (Step 6) and
publish (Step 7) — never paste the pre-scrub text. Then address the scrubber's
stderr flags (banned words, contrast cadence — it flags but does not delete
these) and verify by eye:
- Resolved the scrubber's flagged banned words / cadence
- No three-part lists with identical grammatical structure
- No sycophantic openers or hedging
- Reads like a person thinking, not a polished AI response
- Title is specific and interesting, not generic
- Content matches the narrative framing (genesis-narrative.md)
If any check fails, rewrite the failing section and re-run the scrubber.
Step 6 — Submit for approval
Send the draft to the user via Telegram (outreach_send MCP) with:
- The full draft text (the cleaned draft from Step 5)
category="content"— routes to the Content Review topic and runs the egress anti-slop scrub on the review copy, so the version under review matches what publishes- Platform: Medium
- Ask: "Approve to publish? Reply 'yes', 'no', or send edits."
Wait for user response. Do NOT publish without explicit approval.
If the user sends edits, apply them and re-submit. If the user says no, stop. Store the draft in memory for potential future use.
Step 7 — Publish to Medium
Follow the stored procedure (medium_browser_publish). The key steps:
- Navigate to
https://medium.com/new-story(Camoufox, always) - Verify editor loaded (snapshot should show "Title" heading)
- Click the h3 title element, type title via
browser_fill - Press Enter to move to body
- Build full article HTML in JS on
window.__articleHTML - Use clipboard API to write content:
navigator.clipboard.write([new ClipboardItem({ 'text/html': new Blob([window.__articleHTML], {type: 'text/html'}), 'text/plain': new Blob([plainText], {type: 'text/plain'}) })]) - Focus body paragraph, paste via
browser_press_key("Control+v") - Verify content with snapshot before proceeding
- Click Publish button, add topics if desired, confirm publish
- Verify via URL change to
?postPublishedType=initial
CRITICAL: What does NOT work (do not attempt):
document.execCommand('insertText')— silently fails in Medium editordocument.execCommand('insertHTML')— stripped by Medium's sanitizer- Synthetic
ClipboardEventdispatch — Medium ignores synthetic events - Only real clipboard paste via
navigator.clipboard.write()+Ctrl+Vworks
If any step fails: Take a screenshot, report the error, do NOT retry blindly. The editor selectors may have changed.
Step 8 — Report result
Send the published URL to the user via Telegram.
Store the outcome in memory:
memory_storewith tags:["content", "published", "medium"]- Content: topic, URL, date, any engagement data later
If running under a campaign, append to that campaign's showcase pool so the next campaign tick can reference this article (skip this step otherwise):
- File:
~/.genesis/campaigns/<your-campaign-slug>/showcase-pool.md(substitute the running campaign's own slug) - Append under
## Published Medium Articleswith today's date, title, and a 2-3 line summary of the article's argument/angle - The campaign session uses this as safe public content to share
Error Handling
| Error | Action |
|---|---|
| Not logged in to Medium | Return error. User must VNC login (one-time). |
| Cloudflare Turnstile | Handled automatically by browser_navigate. The solver cascade (auto-resolve → widget click → VNC fallback) runs without intervention. Do NOT switch browsers, try TinyFish, or give up — Camoufox resolves it. |
| Editor selectors changed | Screenshot + report. Do NOT guess new selectors. |
| Draft quality check fails | Rewrite, max 2 attempts, then submit for manual review. |
| Telegram approval timeout | Store draft as pending. Do not publish. |
What This Skill Does NOT Do
- Auto-publish without approval (every post needs explicit "yes")
- Schedule posts (use ego cadence for timing decisions)
- Cross-post to other platforms (separate skill per platform)
- Generate images or media (text-only for now)
- Analytics tracking (future: content-analytics skill)
Examples
Direct invocation
User: "Publish a Medium post about why most AI agent benchmarks are useless"
Action: Skip research (opinion piece) → load voice-master + narrative → draft at formality 4 → quality check → Telegram approval → publish → report URL.
Ego-dispatched
Ego proposal: {"action": "publish_content", "topic": "earned autonomy", "platform": "medium", "angle": "why trust frameworks matter more than capability frameworks"}
Action: Load narrative → light research (knowledge_recall for autonomy subsystem details) → draft → quality check → Telegram approval → publish → store outcome for ego learning.
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