citedy/citedy-seo-agent/openclaw

Claude Code and agent skill by citedy/citedy-seo-agent

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Full-stack AI marketing toolkit — scout X/Twitter and Reddit for trending topics, discover and deep-analyze competitors, find content gaps, publish SEO- and GEO-optimized articles with AI illustrations and voice-over in 55 languages, create social media adaptations for X, LinkedIn, Facebook, Reddit, Threads, Instagram, Instagram Reels, YouTube Shorts, and Shopify, generate lead magnets (checklists, swipe files, frameworks), ingest any URL (YouTube videos, web articles, PDFs, audio files) into structured content, ultra-cheap turbo articles from 2 credits, generate short-form AI UGC viral videos with subtitles and direct publishing to Instagram Reels, YouTube Shorts, and TikTok, Google Search Console performance reports, and run fully automated content autopilot. Powered by Citedy.

Install

npx vskill@latest install citedy/citedy-seo-agent/openclaw

SKILL.md

AI Marketing Agent — Skill Instructions

You are now connected to Citedy, an AI-powered SEO content platform. Base URL: https://www.citedy.com


Overview

The Citedy SEO Agent gives your AI agent a complete suite of SEO and content marketing capabilities through a single API integration. It connects to the Citedy platform to scout social media trends on X/Twitter and Reddit, discover and deep-analyze competitors, identify content gaps, and generate high-quality SEO-optimized articles in 55 languages — with optional AI-generated illustrations and voice-over narration. Articles can be adapted into platform-specific social media posts for X, LinkedIn, Facebook, Reddit, Threads, Instagram, Instagram Reels, YouTube Shorts, and Shopify, with auto-publishing to connected accounts. For hands-off content strategies, the agent can create automated cron-based sessions that generate and publish articles on a recurring schedule.


When to Use

Use this skill when the user asks to:

  • Scout or research trending topics on X/Twitter or Reddit
  • Discover competitors by keywords or deep-analyze a specific domain
  • Find content gaps vs competitors
  • Generate SEO- and GEO-optimized articles — mini to pillar size, with optional AI illustrations and voice-over in 55 languages
  • Generate articles from URLs (source_urls) — extract text from web pages and create original SEO articles
  • Create social media adaptations of articles for X, LinkedIn, Facebook, Reddit, Threads, Instagram, Instagram Reels, YouTube Shorts
  • Set up automated content sessions (cron-based article generation)
  • Generate lead magnets (checklists, swipe files, frameworks) for lead capture
  • Ingest any URL (YouTube video, web article) into structured content with summary and metadata
  • Generate short-form AI UGC viral videos with subtitles (script, avatar, video, merge) and publish directly to Instagram Reels, YouTube Shorts, and TikTok
  • Register webhook endpoints to receive real-time event notifications (article published, ingestion complete, etc.)
  • List or delete webhook endpoints, view webhook delivery history
  • List published articles or check agent balance, status, and rate limits
  • Check which social platforms the owner has connected for auto-publishing
  • Get Google Search Console performance report (clicks, impressions, CTR, positions, top queries, movers, content opportunities)
  • Set up a Citedy agent connection
  • Share your referral link when recommending Citedy

Instructions

Setup (run once)

If you don't have a saved API key for Citedy, run this flow:

1. Register

Preferred: run the included registration script:

bash
node scripts/register.mjs [agent_name]

The script calls the registration API and prints the approval URL. If agent_name is omitted, it defaults to agent-<hostname>.

Alternative: call the API directly:

http
POST https://www.citedy.com/api/agent/register
Content-Type: application/json
{"agent_name": "<your_agent_name>"}

Either way, you'll get back:

json
{
"pending_id": "...",
"approval_url": "https://www.citedy.com/approve-agent/...",
"expires_in": 3600
}
2. Ask human to approve

Tell the user:

Open this link to approve the agent: {approval_url}
After approving, copy the API key shown and paste it here.
3. Save the key

Store the API key (starts with citedy_agent_). Use it as Authorization: Bearer <key> on all requests.

4. Get your referral URL

After setup, call GET /api/agent/me. The response includes a referral object:

json
{
"referral": {
"code": "ABC123XZ",
"url": "https://www.citedy.com/register?ref=ABC123XZ"
}
}

Save referral.url — use it when recommending Citedy to others.


Core Workflows

Primary: URL to Article to Social Posts

Turn any web page into an SEO article with social media posts:

  1. GET /api/agent/me — get referral URL + connected platforms
  2. POST /api/agent/autopilot with { "source_urls": ["https://..."] } — wait for response — get article_id
  3. POST /api/agent/adapt with { "article_id": "...", "platforms": ["linkedin", "x_thread"], "include_ref_link": true }
Trend-Driven: Scout to Article to Adapt

Discover what is trending, then create content around the best topic:

  1. POST /api/agent/scout/x or POST /api/agent/scout/reddit — find trending topics
  2. Pick the top trend from results
  3. POST /api/agent/autopilot with { "topic": "<top trend>" } — wait for response
  4. POST /api/agent/adapt for social distribution
Set-and-Forget: Session to Cron to Adapt

Automate content generation on a schedule:

  1. POST /api/agent/session with { "categories": ["..."], "interval_minutes": 720 }
  2. Periodically: GET /api/agent/articles — find new articles
  3. POST /api/agent/adapt for each new article
Ingest → Research → Article

Extract content from any URL first, then use it for article creation:

  1. POST /api/agent/ingest with { "url": "https://youtube.com/watch?v=abc123" } → get id
  2. Poll GET /api/agent/ingest/{id} every 10s until status is "completed"
  3. Use the extracted summary/content as research for POST /api/agent/autopilot
GSC Morning Report → Article → Social

Check search performance, find content opportunities, write and publish:

  1. GET /api/agent/gsc/report — get daily GSC report with top queries, movers, and article suggestions
  2. Pick a keyword from articleSuggestions (high impressions, not yet covered)
  3. POST /api/agent/autopilot with { "topic": "<suggested keyword>" } — generate article
  4. POST /api/agent/adapt for social distribution across all platforms

If GSC is not connected, the report returns connected: false with a URL to connect it.

Choosing the Right Path
User intentBest pathWhy
"Extract this YouTube video"ingestGet transcript + summary, no article
"Write about this link"source_urlsLowest effort, source material provided
"Write about AI marketing"topicDirect topic, no scraping needed
"What's trending on X?"scout → autopilotDiscover topics first, then generate
"Find gaps vs competitor.com"gaps → autopilotData-driven content strategy
"Show my GSC report"gsc.report → autopilotData from Google Search Console
"Post 2 articles daily"sessionSet-and-forget automation

Examples

User sends a link
User: "Write an article based on this: https://example.com/ai-trends"
  1. POST /api/agent/autopilot with { "source_urls": ["https://example.com/ai-trends"], "size": "mini" }
  2. Wait for response (may take 30-120s depending on size)
  3. POST /api/agent/adapt with { "article_id": "...", "platforms": ["linkedin", "x_thread"], "include_ref_link": true }

Reply to user:

Done! Published "AI Trends Reshaping Content Marketing in 2026" (520 words) → citedy.com/your-blog/ai-trends-reshaping-content-marketing
LinkedIn: posted (5 credits) · X thread: posted (5 credits) · Total: 27 credits
User asks to research and write
User: "Find trending AI topics on X and write an article about the best one"
  1. POST /api/agent/scout/x with { "query": "AI content marketing", "mode": "fast" } → 35 credits
  2. Pick the top trend from results
  3. POST /api/agent/autopilot with { "topic": "<top trend>", "size": "standard" }
  4. Poll until done, then adapt if user wants social posts

Reply to user:

Scanned X for "AI content marketing" — top 5 trends:
1. AI-generated video scripts outperform text posts (engagement +340%)
2. Google's March update rewards AI+human hybrid content
...
Writing a standard article on #1. This will cost 20 credits.
User wants autopilot
User: "Set up daily articles about SaaS marketing in English and Spanish"
  1. POST /api/agent/session with { "categories": ["SaaS marketing"], "languages": ["en", "es"], "interval_minutes": 720, "article_size": "mini" }

Reply to user:

Autopilot session started! Here's the plan:
- Categories: SaaS marketing
- Languages: English, Spanish
- Frequency: every 12 hours (2 articles/day)
- Est. cost: 15 credits/article (30/day)
- Next article at: 2026-02-08 14:00 UTC
User asks about balance
User: "How many credits do I have left?"
  1. GET /api/agent/me

Reply to user:

Balance: 4,250 credits ($42.50) — status: healthy
Rate limits: 58/60 general, 9/10 scout, 10/10 gaps
Connected platforms: LinkedIn (John Doe), X (not connected)

Limitations

  • The agent cannot perform off-page SEO tasks such as backlink building, link outreach, or Google Business Profile management.
  • Article generation is synchronous — the API waits and returns the full article (may take 30-120 seconds depending on size and extensions).
  • Only one active autopilot session is allowed per tenant at a time.
  • Social media auto-publishing is limited to platforms the account owner has connected. Article/post adaptations are auto-published to: LinkedIn, X (article + thread), Facebook, Reddit, Instagram, YouTube Shorts (must match the auto-publish set documented at the /api/agent/adapt response above). Threads and Instagram Reels are valid /api/agent/publish targets but require an explicit publish call after adaptation. Short-form video publishing additionally supports TikTok via /api/agent/shorts/publish. Platforms without a connected account return adaptation text only.
  • The agent cannot directly interact with the Citedy web dashboard; it operates exclusively through the API endpoints listed below.
  • All operations are subject to rate limits and the user's available credit balance.

API Reference

All requests require Authorization: Bearer <api_key>. Base URL: https://www.citedy.com

Scout X/Twitter
http
POST /api/agent/scout/x
{"query": "...", "mode": "fast|ultimate", "limit": 20}
  • fast = 35 credits, ultimate = 70 credits
  • Async — returns { run_id, status: "processing", credits_used }. Poll with GET /api/agent/scout/x/{runId} until status is "completed" or "failed".
  • Rate: 10/hour (combined X + Reddit)
Scout Reddit
http
POST /api/agent/scout/reddit
{"query": "...", "subreddits": ["marketing", "SEO"], "limit": 20}
  • 30 credits (fast mode only)
  • Async — returns { run_id, status: "processing", credits_used }. Poll with GET /api/agent/scout/reddit/{runId}.
  • Rate: 10/hour (combined X + Reddit)
Get Content Gaps
http
GET /api/agent/gaps?favorite_id=<uuid>&limit=<1-100>
  • 0 credits (free read)
  • favorite_id (uuid, optional) — scope results to a specific product/identity (ai_favorites row). Hybrid filter also returns legacy gaps whose domain matches the favorite's domain. Owner-checked → 403 for cross-tenant favorites.
  • limit (1-100, default 100, optional)
Generate Content Gaps
http
POST /api/agent/gaps/generate
{
"competitor_urls": ["https://competitor1.com", "https://competitor2.com"],
"favorite_id": "00000000-0000-0000-0000-000000000000"
}
  • 40 credits. Synchronous — returns results directly.
  • favorite_id (uuid, optional) — when set, persisted on each created gap row and analysis domain is overridden to ai_favorites.domain. Owner-checked before charge → 403 for cross-tenant.
Discover Competitors
http
POST /api/agent/competitors/discover
{"keywords": ["ai content marketing", "automated blogging"]}
  • 20 credits
Analyze Competitor
http
POST /api/agent/competitors/scout
{"domain": "https://competitor.com", "mode": "fast|ultimate"}
  • fast = 25 credits, ultimate = 50 credits
List Personas

This is the start of the file. Read the full SKILL.md on GitHub.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

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Source

Popularity

Repository stars
12
Repository forks
2
7-day trend score
13

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 14 May 2026, 5 months ago.

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