supermemory
Supermemory is a long-term memory infrastructure for AI agents, enabling persistent context, user profiles, and semantic RAG across multi-modal knowledge bases.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
542 skills found
Supermemory is a long-term memory infrastructure for AI agents, enabling persistent context, user profiles, and semantic RAG across multi-modal knowledge bases.
Analyze codebase statistics: LOC, language distribution, and code-to-comment ratios using pygount.
Scaffold and generate new GitHub Copilot Agent Skills. Provides templates, directory structures, and instructions to build specialized AI capabilities with bundled resources.
Comprehensive mobile testing for iOS and Android, covering gestures, sensors, permissions, device fragmentation, and performance across 1000+ real and virtual devices.
Automated compliance validation tool for collector bot packages using 8 specialized parallel agents.
Diagnose dotCMS CI/CD GitHub Actions failures, including PR builds, merge queue issues, and nightly test reports.
Detects timing side-channel vulnerabilities in cryptographic code through static and dynamic analysis across multiple programming languages.
Verify that dotfiles are properly symlinked, synchronised, and configured across the system to ensure development environment health.
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 frontend state management, including global stores like Zustand/Pinia, server state via TanStack Query, and URL state handling.
Discover and recommend combinations of agent skills to complete complex, multi-faceted tasks using Maximum Quality or Minimum Dependencies strategies.
Implement secure, tokenless npm publishing in GitHub Actions using OIDC, provenance attestations, and monorepo-friendly configuration.