Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Communication & Collaboration
Blog Generator
Analyzes journal entries and chat history to identify high-value topics and automatically generate blog posts.
skill openclawclawhub Free
Analyzes journal entries and chat history to identify high-value topics and automatically generate blog posts.
⬇ 0 downloads ★ 0 stars Unverified but indexed
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Package facts
- Download mode
- Manual review
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, _meta.json, docs/benchmark-comparison.html, docs/benchmark-elevator-pitch.html, docs/benchmark-self-improving-agent-vs-mulch.html
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- RuneweaverStudios
- Source page
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Documentation
Description
Analyzes journal entries and chat history to identify high-value topics and automatically generate blog posts.
Blog Generator | OpenClaw Skill
Automatically generates blog posts by analyzing journal entries, chat history, and recent activity to identify high-value, high-search-volume topics related to OpenClaw.
Usage
As a scheduled cron job to automatically generate blog content weekly or daily Manually to create blog posts from recent journal analysis To identify and document high-value solutions and discoveries # X-format articles as HTML; humanizer runs between generations; header from visual-explainer python3 /Users/ghost/.openclaw/workspace/skills/blog-generator/scripts/blog_generator.py # Skip humanizer (e.g. no OPENROUTER_API_KEY) python3 /Users/ghost/.openclaw/workspace/skills/blog-generator/scripts/blog_generator.py --no-humanize # Custom humanizer or visual-explainer paths python3 /Users/ghost/.openclaw/workspace/skills/blog-generator/scripts/blog_generator.py --humanizer-path /Users/ghost/Downloads/humanizer-1.0.0 --visual-explainer-path /Users/ghost/.openclaw/workspace/skills/visual-explainer-main # Classic format (overview/problem/solution), still HTML python3 /Users/ghost/.openclaw/workspace/skills/blog-generator/scripts/blog_generator.py --format classic # JSON output python3 /Users/ghost/.openclaw/workspace/skills/blog-generator/scripts/blog_generator.py --days 14 --max-topics 5 --json
What this skill does
Scans journal entries from the last N days for interesting topics (discoveries, obstacles, solutions) Identifies high-value topics based on keyword relevance and problem-solving value Researches search volume and keyword opportunities (heuristic-based, can be enhanced with APIs) Generates structured blog posts with overview, problem, solution, and takeaways sections Saves blog posts to /Users/ghost/.openclaw/blogs/ as HTML only (X-article format, header from visual-explainer, humanizer between generations)
Integration as a Cron Job
This skill is designed to run periodically (daily or weekly) via OpenClaw cron to automatically generate blog content. Example Cron Job Configuration (Daily): { "payload": { "kind": "agentTurn", "message": "Run blog-generator skill to analyze journal entries and generate high-value blog posts.", "model": "openrouter/google/gemini-2.5-flash", "thinking": "low", "timeoutSeconds": 300 }, "schedule": { "kind": "cron", "cron": "0 9 * * *" }, "delivery": { "mode": "announce" }, "sessionTarget": "isolated", "name": "Blog Post Generator" } Example Cron Job Configuration (Weekly): { "payload": { "kind": "agentTurn", "message": "Run blog-generator skill with --days 7 --max-topics 3 to generate weekly blog posts from journal analysis.", "model": "openrouter/google/gemini-2.5-flash", "thinking": "low", "timeoutSeconds": 300 }, "schedule": { "kind": "cron", "cron": "0 10 * * 1" }, "delivery": { "mode": "announce" }, "sessionTarget": "isolated", "name": "Weekly Blog Generator" }
Output Format
HTML only (no Markdown). Output is in the format accepted by X articles: one header (from visual-explainer), then article body with no interlaced visuals. File: /Users/ghost/.openclaw/blogs/YYYYMMDD_slugified-title.html Article structure: X-style (long-form): punchy hook, short paragraphs, "two types of people" framing, pivot, stakes. Use --format classic for overview/problem/solution. Header: From visual-explainer only. Default path: /Users/ghost/.openclaw/workspace/skills/visual-explainer-main. The skill’s scripts/generate_header.py is called with section: "header" and returns an html_snippet (hero with title and optional summary). No diagrams or images in the body. Humanizer: Runs between generations by default. Each article’s body is sent through /Users/ghost/Downloads/humanizer-1.0.0 (requires OPENROUTER_API_KEY) before rendering to HTML. Use --no-humanize to skip.
Topic Scoring
Topics are scored based on: High-value keywords: OpenClaw-specific terms, problem-solving language Content type: Solutions score highest, then obstacles, then discoveries Content depth: Longer, more detailed content scores higher Search volume indicators: Keywords like "how to", "tutorial", "fix" increase value
Requirements
Journal entries in /Users/ghost/.openclaw/journal/ Blogs directory writable at /Users/ghost/.openclaw/blogs/ Chat history analyzer skill (for journal entries)
How it works
Scans journal directory for markdown files from the last N days Extracts topics from discoveries, obstacles, and solutions sections Scores topics based on keyword relevance and value Selects top N high-value topics Generates structured blog posts with problem/solution format Saves posts to blogs directory with timestamped filenames
Enhancement Opportunities
Integrate with Google Keyword Planner API for real search volume data Use AI model to enhance blog post quality and SEO optimization Cross-reference with existing blog posts to avoid duplicates Generate multiple variations of posts for A/B testing
Category context
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Files2 Docs1 Config
- SKILL.md
- README.md
- _meta.json
- docs/benchmark-comparison.html
- docs/benchmark-elevator-pitch.html
- docs/benchmark-self-improving-agent-vs-mulch.html