java
Java development skill for writing clean, maintainable code using SOLID principles, pragmatic abstraction, and self-documenting practices.
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325 skills found
Java development skill for writing clean, maintainable code using SOLID principles, pragmatic abstraction, and self-documenting practices.
Port Semgrep rules to new languages using a strict, test-driven methodology. Includes applicability analysis, AST-based translation, and automated validation for each target language.
Orchestrates multi-agent development workflows, managing task decomposition, requirement analysis, and quality assurance for complex software projects.
CLI tools for Svelte 5 documentation lookup and code analysis. Automate Svelte component creation, debugging, and linting with real-time documentation retrieval and code autofixing.
Automated CI/CD incident response, failure analysis, and remediation for GitHub Actions pipelines. Resolves build and test failures with safety guardrails.
Automated OpenClaw repository maintainer: triage, label, and validate PRs/issues using gitcrawl and GitHub CLI.
Manage project SSOT, memory, and cross-tool search. Guardian of decisions.md and patterns.md for Claude Code. Use for context retention, memory synchronization, and decision tracking.
AI-native product management tool for startups. Features automated competitor research, gap analysis using the WINNING filter, PRD generation, and GitHub Issues integration for prioritized, signal-based roadmap planning.
Automate PR quality checks by reviewing CodeRabbit comments, validating PR descriptions, running pre-commit hooks, and executing test suites.
Build AI agents with tool calling and multi-step reasoning. Generate, manage, and orchestrate custom skill files for Claude Code, Cursor, Cline, and other AI assistants to standardize your development workflows.
A terminal-based Chrome DevTools Protocol client designed for AI agents. Provides direct, session-persistent control over browser navigation, DOM manipulation, scraping, and network inspection.
A guide for building high-quality MCP (Model Context Protocol) servers in Python or TypeScript to integrate external APIs and services into LLM workflows.