jujutsu
Manage version control with Jujutsu (jj): perform rebasing, conflict resolution, bookmark management, and commit manipulation in your Git-compatible workflow.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
507 skills found
Manage version control with Jujutsu (jj): perform rebasing, conflict resolution, bookmark management, and commit manipulation in your Git-compatible workflow.
Expert advisor for implementing Anthropic's structured outputs. Choose between JSON mode and strict tool use for guaranteed schema compliance and validated agentic workflows.
Automated repository synchronization for multi-repo ecosystems, featuring intelligent failure diagnosis, auto-repair for Git state issues, and integrated ecosystem health checks.
Manages free AI models from OpenRouter for OpenClaw. Ranks models by quality, configures fallbacks for rate-limit handling, and updates openclaw.json automatically.
Master modern React state management. Learn to implement Redux Toolkit, Zustand, Jotai, and React Query for global, server, and local state.
Persistent task memory and workflow synchronization for Claude Code using Beads, enabling multi-session project management and context preservation.
Token-efficient CLI for browser automation, web testing, and agentic workflows using Playwright.
Manage Jenkins CI/CD pipelines via REST API. Trigger builds, monitor job status, view console logs, and manage nodes and queues directly from your terminal or AI agent.
A high-performance Liquid template engine that compiles templates into optimized Ruby and machine code via an intermediate language (IL).
AI-assisted version control for code agents. Track prompts, context, and diffs automatically with MemoV to ensure full traceability without polluting your git history.
Guidance on React Server Components (RSC) in Next.js, covering server/client component boundaries, data fetching, and composition patterns.
Analyze local system hardware (RAM, CPU, GPU/VRAM) to receive expert recommendations for optimized local LLM models, quantization settings, and performance estimates.