memov
AI-assisted version control for code agents. Track prompts, context, and diffs automatically with MemoV to ensure full traceability without polluting your git history.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
211 skills found
AI-assisted version control for code agents. Track prompts, context, and diffs automatically with MemoV to ensure full traceability without polluting your git history.
Implements Next.js Parallel Routes for modals to prevent layout shifts. Essential for dialogs, modals, and intercepted routes.
A specialized skill for building and managing Next.js App Router API routes, handling HTTP methods, request bodies, streaming, and response configuration.
Implement Extreme Programming (XP) practices including TDD, pair programming, and continuous integration to enhance team collaboration and technical excellence in software engineering.
A universal skill for automating GitHub Project V2 Kanban boards, supporting status transitions, sprint management, and interactive workflows via CLI.
Implements Manus-style persistent markdown planning for complex workflows, project tracking, and research management to optimize agent attention and memory.
Search, browse, and download podcast episodes from Apple Podcasts via the iTunes Search API. Ideal for archiving audio content, batch downloading, and retrieving rich metadata for research or personal media libraries.
Proactive context window management for AI agents via intelligent token monitoring, snapshot creation, and selective state rehydration to maintain continuity during long sessions.
Shared memory and collaboration layer for AI coding agents to track actions, manage sessions, detect conflicts, and preserve project context across tools.
An AI-powered TestOps platform and MCP server providing automated failure analysis, RCA matching, and intelligent test orchestration for CI/CD pipelines.
Guidance on React Server Components (RSC) in Next.js, covering server/client component boundaries, data fetching, and composition patterns.
Manually triggers a Hipocampus memory flush to persist current session context to raw logs and initiate the compaction tree process for long-term agent memory maintenance.