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Found 222 Skills
LangGraph checkpointing and persistence. Use when implementing fault-tolerant workflows, resuming interrupted executions, debugging with state history, or avoiding re-running expensive operations.
Handles MMKV storage operations and data persistence patterns with encryption. Use when implementing data persistence, caching, or user preferences in Fitness Tracker App.
Creates complete single-file HTML/CSS/JS web apps with localStorage persistence, ADHD-optimized UI (60px+ buttons), dark mode, and offline functionality. Use when user says "create app", "build tool", "make dashboard", or requests any browser-based interface.
Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember, memory persistence, long-term memory, chat history.
Instructions for using the DeepBase multi-driver persistence library. Use when a task requires data persistence, storage abstraction, multi-backend setups, data migration between drivers, or integrating DeepBase into a Node.js project.
Use when implementing agent memory, persisting state across sessions, building knowledge graphs, tracking entities, or asking about "agent memory", "knowledge graph", "entity memory", "vector stores", "temporal knowledge", "cross-session persistence"
Encrypted backup and restore for OpenClaw Agent workspace files (SOUL.md, MEMORY.md, IDENTITY.md, AGENTS.md, TOOLS.md). Uses tar + openssl (AES-256-CBC) encryption and soul-upload.com API. Auto-generates a new random password for each backup (DO NOT reuse passwords). Use when the user needs to: (1) Back up or upload agent workspace files, (2) Restore or download a previous backup, (3) Delete a backup from remote storage, or (4) Manage encrypted agent persistence.
Develop native iOS apps with Swift. Covers MVVM architecture, SwiftUI, URLSession for networking, Combine for reactive programming, and Core Data persistence.
This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result persistence. Designed for general-purpose compute workloads including data processing, inference, experiments, batch jobs, and any Python-based tasks. Should be invoked for tasks involving cloud compute, GPU workloads, or when users mention running jobs on Hugging Face infrastructure without local setup.
Session context persistence for AI coding. Start/end sessions, create specs and docs, review work. Use for session management, "start session", "end session", implementation specs, documentation, code review, or questions about previous work, decisions, blockers, "last time", "what we decided".
Provides comprehensive guidance for Redis including data structures, commands, pub/sub, persistence, clustering, and caching patterns. Use when the user asks about Redis, needs to use Redis for caching, implement Redis data structures, or work with Redis features.
Architect and co-design futureproof persistence systems built on open data principles. Use when designing data layers, choosing storage formats, structuring knowledge bases, building file-system-as-database architectures, or evaluating existing systems for portability and longevity. Use when user says "design my data model", "how should I store this", "is my data portable", "audit my persistence layer", "plan a migration", or asks about file-based databases, Markdown schemas, or Obsidian-compatible data formats. Do NOT use for general coding tasks, database query optimization, or SQL schema design.