Understanding new or complex codebases takes significant time and effort. This skill provides systematic investigation techniques to quickly map code structure, trace dependencies, identify patterns, and find key implementations without reading every file manually.

Manually triaging GitHub issues takes significant time and can lead to inconsistent responses. This skill automates issue analysis, validation, labeling, and response generation using structured workflows and best practices.

This skill systematically improves Claude Code components by enhancing descriptions, optimizing tool permissions, strengthening security, and improving usability. It transforms quality analysis results into concrete enhancements while preserving component functionality.

Users need reusable skills that activate automatically based on context. This template provides a starting point for building skills that perform specific tasks without manual invocation.

EDN template analysis is time-consuming when done manually. The edn-analyzer skill provides automated structure analysis, quality checks, and comparison features for Logseq database graph templates. It identifies orphaned items, validates structure, and generates actionable reports.

Documentation quality issues waste developer time and frustrate users. This skill scans your docs for completeness, broken links, formatting errors, and consistency problems, then provides actionable fixes with prioritized recommendations.

Developers spend hours creating documentation that quickly becomes outdated. This skill analyzes source code and templates to generate accurate, well-structured module READMEs, user guides, and API documentation automatically. It validates all commands and examples before documenting.

Creating GitHub issues with proper conventions takes time and attention to detail. This skill validates issue titles, suggests appropriate labels, and ensures every issue includes required metadata like scope labels and priority levels.

Claude lacks built-in mechanisms to learn from past interactions and systematically improve. This skill provides frameworks for establishing feedback loops that track patterns, measure progress, and implement iterative refinement workflows across conversations.

Managing multiple projects creates coordination complexity, conflicting priorities, and resource conflicts. This skill provides strategic frameworks for portfolio management, dependency mapping, and cross-project coordination to align work with business objectives.

Users need to integrate Claude with their Logseq knowledge graphs for querying and writing data. This skill provides automated connection management across HTTP API, CLI, and MCP Server backends with built-in troubleshooting support.

Writing clear commit messages is challenging. This skill analyzes your git changes and suggests properly formatted conventional commits with correct type, scope, and description. It validates format and explains the reasoning behind each suggestion.

An AI skill for Claude, Codex, and Claude Code

Create plugins that bundle agents, skills, commands, and hooks into distributable packages. Includes validation tools, templates, and best practices for secure plugin development.

Building Logseq plugins requires understanding the Plugin API, DB architecture, and compatibility patterns. This skill provides expert guidance on plugin structure, API namespaces, Datalog queries, and DB-version specific considerations.

An AI skill for Claude, Codex, and Claude Code

Claude Code hooks enable event-driven automation and policy enforcement. This skill provides expertise in creating hooks that validate tool usage, enforce security policies, and automate workflows triggered by user prompts and tool invocations.

Users need a way to create standardized, validated slash commands for their Claude Code workflows. This skill provides expert guidance on command structure, YAML schema, argument handling, and security best practices.

Building Claude Code agents requires understanding schema standards, security best practices, and proper tool configuration. This skill provides expert guidance for creating robust, secure agents following established patterns and includes validation to ensure quality before deployment.

Poor test quality leads to false confidence and hidden bugs. This skill provides automated analysis of test suites including coverage metrics, anti-pattern detection, and actionable improvement recommendations across any testing framework.