Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Analyzes journal entries and chat history to identify high-value topics and automatically generate blog posts.
Analyzes journal entries and chat history to identify high-value topics and automatically generate blog posts.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Analyzes journal entries and chat history to identify high-value topics and automatically generate blog posts.
Automatically generates blog posts by analyzing journal entries, chat history, and recent activity to identify high-value, high-search-volume topics related to OpenClaw.
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
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)
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" }
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.
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
Journal entries in /Users/ghost/.openclaw/journal/ Blogs directory writable at /Users/ghost/.openclaw/blogs/ Chat history analyzer skill (for journal entries)
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
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
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Largest current source with strong distribution and engagement signals.