systematic-debugging
A rigorous, four-phase methodology to enforce systematic root cause analysis before applying any code fixes.
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315 skills found
A rigorous, four-phase methodology to enforce systematic root cause analysis before applying any code fixes.
End-to-end startup idea validation using S.E.E.D. niche checks, STREAM 6-layer analysis, and Devil's Advocate inversion to generate PRDs.
Pragmatic AI-assisted coding standards focused on clean code, simplicity, and maintainability. Enforces best practices like SRP, DRY, and KISS to prevent over-engineering.
Implement robust software testing strategies, including unit, integration, and E2E tests, mocking frameworks, TDD patterns, and best practices for high-quality, reliable code across any stack.
A specialized decision-making agent for complex architectural choices, task planning, and error resolution within the orchestration system.
Efficiently manage git worktrees with automated file synchronization, background task execution, and CLI-based workspace orchestration.
Automated OpenClaw repository maintainer: triage, label, and validate PRs/issues using gitcrawl and GitHub CLI.
Automated migration tool for converting Next.js projects to vinext (Vite-based Next.js reimplementation), including compatibility scanning, dependency replacement, and configuration setup.
AI-powered LinkedIn post generator for professionals. Create engaging thought leadership, career updates, and industry-specific content using the Sloan agent.
Guidance and operational tips for identifying, reviewing, and managing pull requests created by the GitHub Copilot coding agent within your repository.
Expert systematic test design using BVA, equivalence partitioning, decision tables, and combinatorial testing to maximize coverage and minimize redundancy.
Audit outbound network requests and detect data exfiltration patterns in OpenClaw skills to ensure secure outbound communication.