wiki-jsDeploy and manage Wiki.js documentation sites avoiding common configuration traps.
Install via ClawdBot CLI:
clawdbot install ivangdavila/wiki-jsGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
A startup deploys Wiki.js to centralize engineering documentation and onboarding materials. They must configure PostgreSQL for concurrent editing by multiple teams and set the Site URL correctly to avoid login loops, ensuring smooth collaboration across departments.
A university uses Wiki.js to host course materials and administrative guides for faculty and students. They need to manage permissions carefully, as default user groups apply to all new accounts, and use the Markdown editor to avoid formatting loss when switching editors.
A large corporation implements Wiki.js to maintain regulatory policies and internal procedures. They configure Git sync for version control and use S3 storage for assets to prevent database bloat, while ensuring search respects permissions to restrict access to sensitive pages.
An open-source community sets up Wiki.js for project documentation, leveraging HTTPS termination at a reverse proxy. They avoid special characters in page paths to prevent 404 errors and rely on database backups as the complete backup solution for content and user data.
Offer managed Wiki.js hosting with pre-configured PostgreSQL, HTTPS setup, and automated backups. Revenue comes from subscription tiers based on storage, user seats, and support levels, targeting small to medium businesses.
Provide expert services to deploy and optimize Wiki.js installations, focusing on avoiding common traps like Site URL mismatches and permission issues. Revenue is generated through project-based fees and ongoing maintenance contracts.
Integrate Wiki.js with existing enterprise systems like Git, S3, and Elasticsearch for enhanced search and storage. Revenue streams include licensing fees, custom development, and premium support packages for large organizations.
💬 Integration Tip
Always set the Site URL to match the actual access URL to prevent login loops and asset issues; use a reverse proxy for HTTPS termination instead of configuring SSL within Wiki.js.
Scored Apr 22, 2026
Advanced expert in prompt engineering, custom instructions design, and prompt optimization for AI agents
Safe OpenClaw config updates with automatic backup, validation, and rollback. For agent use - prevents invalid config updates.
Extract conversation transcripts from AI coding session logs (Clawdbot, Claude Code, Codex). Use when asked to export prompt history, session logs, or transcripts from .jsonl session files.
Transform rough ideas into professional-grade LLM prompts. Analyzes text, images, links, and documents to craft optimized prompts using proven frameworks (Co...
Configure AI personality using the AURA protocol (HEXACO-based). Use when user wants to customize agent personality, reduce sycophancy, adjust communication style, or mentions AURA/personality configuration.
Two-layer content safety for agent input and output. Use when (1) a user message attempts to override, ignore, or bypass previous instructions (prompt injection), (2) a user message references system prompts, hidden instructions, or internal configuration, (3) receiving messages from untrusted users in group chats or public channels, (4) generating responses that discuss violence, self-harm, sexual content, hate speech, or other sensitive topics, or (5) deploying agents in public-facing or multi-user environments where adversarial input is expected.