building-logseq-plugins
Expert guidance for Logseq plugin development, specifically optimized for the new database architecture, API integration, and property management.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
503 skills found
Expert guidance for Logseq plugin development, specifically optimized for the new database architecture, API integration, and property management.
Generate professional markdown newsletters from localized events stored in SQLite. Automates event aggregation, curation, and formatting for community or niche media newsletters.
Manages Cloudflare zones via API. Use for purging cache, querying DNS records, and monitoring analytics via GraphQL.
Accelerate clinical and healthcare app development in Lovable. Perfect for OpenClaw Clinical Hackathon participants building MVPs with PHI-safe patterns.
Fetches Confluence PRDs and transforms them into structured local Markdown for the spec-kit specify workflow, bridging PO handoffs into technical SDD implementation.
Standards and patterns for professional documentation architecture, covering content hierarchy, scannable page design, navigation strategies, and quality checklists for AI-driven technical writing.
DevOps and platform engineering patterns: Kubernetes, Terraform, GitOps, CI/CD, observability, incident response, and cloud-native ops.
Generate optimized SQL queries from natural language. Supports BigQuery, PostgreSQL, MySQL, and Snowflake. Analyze database schemas, interpret business requirements, and output ready-to-run queries with explanations.
Securely manage CI/CD secrets with Vault, AWS Secrets Manager, and environment-specific patterns. Prevent credential leakage, implement rotation, and enforce least-privilege access for pipelines.
Evaluate scientific claims and research methodology for rigor, bias, and validity. Use evidence-based frameworks like GRADE and Cochrane to analyze experiments, protocols, and study conclusions.
Full-stack SDLC agent workflow managing the entire production lifecycle from intake and planning to automated testing, CI/CD, and infrastructure deployment using MCP tools.
Detects timing side channels in cryptographic code to prevent secret data leakage. Essential for auditing sensitive implementations.