Pull request reviews can miss risks, tests, and important context. This skill structures reviews, prepares descriptions, checks GitHub status, and recommends merge actions.

Playwright test suites can become flaky, slow, and difficult to maintain. This skill provides practical patterns for locators, fixtures, page objects, debugging, mocking, and configuration.

Unbalanced modules and unclear dependencies make Logseq templates difficult to maintain. This skill scores module health and recommends focused structural improvements.

Inconsistent commit messages make review, changelogs, and automation harder. This skill helps Claude, Codex, and Claude Code create, review, and validate Conventional Commits with GitHub issue context.

Jest projects often fail because tests, mocks, asynchronous behavior, and configuration are inconsistent. This skill provides focused patterns for dependable JavaScript, TypeScript, React, and Node.js testing.

Unfamiliar repositories make implementation questions slow and uncertain. This skill maps structure, traces dependencies, and explains behavior with concrete file references.

Claude Code components can have vague descriptions, excessive permissions, weak triggers, or incomplete documentation. This skill turns quality findings into focused, reviewable improvements while preserving intended behavior.

Poorly structured issues create ambiguity and require manual cleanup. This skill drafts and validates titles, bodies, labels, milestones, projects, and relationships.

Inconsistent commit messages make project history difficult to scan and automate. This skill analyzes Git changes and proposes project-specific Conventional Commit messages.

Creating reliable AI skills requires clear triggers, safe permissions, and valid structure. This skill guides Claude, Codex, and Claude Code users through design, validation, and maintenance.

MCP setup can expose secrets, weak URLs, or fragile plugin configuration. This skill guides secure server selection, configuration, validation, and documentation for Claude Code plugins.

Logseq DB and MD graphs use different data models, which can break plugin behavior. This skill provides focused guidance for APIs, queries, properties, UI commands, and testing.

Teams need repeatable AI workflows that are easy to invoke and review. This skill helps create, update, validate, and document Claude Code slash commands.

Coverage percentages alone cannot show whether tests are reliable, focused, or effective. This skill assesses quality dimensions and produces prioritized, evidence-based improvements.

Creating reliable AI agents requires clear schemas, safe tools, and repeatable review steps. This skill guides agent design, validation, migration, and maintenance for Claude Code workflows.

Large codebases hide repeated structures and inconsistent decisions. This skill maps design patterns, architecture, conventions, duplication, and anti-patterns with evidence and recommendations.

Claude Code components can be technically valid yet unclear, over-permissioned, or difficult to invoke. This skill scores five quality dimensions and recommends specific improvements.

Poor tool interfaces waste tokens and force agents through fragile workflows. This guide helps teams design consolidated, namespaced tools with clear schemas, efficient responses, and actionable errors.

Creating FlowGram form materials requires consistent folders, exports, props, and Storybook coverage. This skill gives a focused workflow for component files, exports, demos, and validation commands.

FlowGram node setup can require repeated registry, schema, and form changes. This skill guides Claude, Codex, and Claude Code through simple and custom node creation.