Claude Skills by majiayu000

OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.

Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragm

Check context usage limits, monitor time remaining, optimize token consumption, debug context failures. Use when asking about context percentage, rate limits, usage warnings, context optimization, agent architectures, memory systems.

Check context usage limits, monitor time remaining, optimize token consumption, debug context failures. Use when asking about context percentage, rate limits, usage warnings, context optimization, agent architectures, memory systems.

This skill should be used when the user asks to "understand context", "explain context windows", "design agent architecture", "debug context issues", "optimize context usage", or discusses context components, attention mechanics, progressive disclosure, or context budgeting. Provides foundational understanding of context engineering for AI agent systems.

This skill should be used when the user asks to "understand context", "explain context windows", "design agent architecture", "debug context issues", "optimize context usage", or discusses context components, attention mechanics, progressive disclosure, or context budgeting. Provides foundational understanding of context engineering for AI agent systems.

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you. Use when: keywords, file_patterns, code_patterns.

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you. Use when: keywords, file_patterns, code_patterns.

Access AlphaFold's 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.

Move an increment to backlog (planned but not ready to start)

Manage data flow when producers outpace consumers. Bounded buffers, adaptive flushing, and graceful degradation prevent OOM crashes and data loss.

Build Backstage backend plugins with createBackendPlugin and core services: DI, httpRouter, secure-by-default auth, Knex DB, routes, testing. Use for APIs and background jobs.

Build Backstage frontend plugins with the new Frontend System: createFrontendPlugin, blueprints, routes, Utility APIs, testing. Use for pages, nav, entity content, or cards.

Generate enterprise-grade web applications using Backstage Design System. Create admin dashboards, developer tools, and internal applications with modern React components, dark/light themes, and responsive design patterns based on Radix UI and Tailwind CSS.

Critical fix for backtest capital accounting when equity curves are inflated or drawdown metrics are meaningless

Converting backtest visualizations from bar indices/timesteps to actual datetime axes for clearer time context

Save backtest results to SQLite database for comparison. Trigger when: (1) tracking backtest history, (2) comparing model performance, (3) querying best backtests.

Phylax Credible Layer assertions backtesting. Runs assertion backtests against historical transactions. Use when validating phylax/credible layer assertions on real chain data or known exploits.

Build robust backtesting systems for trading strategies with proper handling of look-ahead bias, survivorship bias, and transaction costs. Use when developing trading algorithms, validating strategies, or building backtesting infrastructure.

Implement backup strategies, disaster recovery plans, and data restoration procedures for protecting critical infrastructure and data.

Create and manage etcd backups for OpenShift control plane disaster recovery, including automated backup procedures and verification.

Creates compressed ZIP backups of libraries directory. Backs up library.yaml, transcripts, and roughcuts (not video files). This skill can also be useful when you need to restore a library.

Create and manage database backups across environments

Creates comprehensive disaster recovery procedures with automated backup scripts, restore procedures, validation checks, and role assignments. Use for "database backup", "disaster recovery", "data restore", or "DR planning".

Эксперт по политикам бэкапов. Используй для стратегий резервного копирования, retention rules и disaster recovery.

Designs backup and disaster recovery strategies for data and systems

This skill implements backup strategies for databases and applications. It generates configuration files and setup code to ensure data protection and disaster recovery. Use this skill when the user requests to "implement backup strategy", "configure backups", "setup data recovery", or needs help with "backup automation". The skill provides production-ready configurations, best practices, and multi-platform support for database and application backups. It focuses on security and scalability.

备份策略设计

Backup and restore openclaw configuration, skills, commands, and settings. Sync across devices, version control with git, automate backups, and migrate to new machines.

Multi-agent workflow for editing Claude Code skills with quality gates

Create MicroPython applications for Universe 2025 (Tufty) Badge including display graphics, button handling, and MonaOS app structure. Use when building badge apps, creating interactive displays, or developing MicroPython programs.

Deployment workflows, file management, and project organization for Universe 2025 (Tufty) Badge. Use when deploying apps to MonaOS, managing files on device, syncing projects, organizing code, or setting up deployment pipelines.

System diagnostics, verification, and troubleshooting for Badger 2350. Use when checking firmware version, verifying installations, diagnosing hardware issues, troubleshooting errors, or performing system health checks on Badger 2350.

Hardware integration for Badger 2350 including GPIO, I2C sensors, SPI devices, and electronic components. Use when connecting external hardware, working with sensors, controlling LEDs, reading buttons, or interfacing with I2C/SPI devices on Badger 2350.

Complete getting started guide for Universe 2025 (Tufty) Badge from zero to first app. Use when helping absolute beginners, providing step-by-step first-time setup, or when users ask "how do I get started", "where do I begin", or "first steps with the badge".

Organize the hive that Bee collected. The badger methodically sorts issues into project columns, assigns sizes and priorities, moves work from backlog to ready, and plans milestones. Use when you need to triage your GitHub project board, size issues, set priorities, or plan timelines.

🐟 Rust-native Fish shell-friendly file operations with Steel-backed SCI

Guide for balancing new Heart Rush content including talents, races, bloodmarks, and progression. Use when creating or modifying game mechanics to ensure they fit the existing power curve.

Generate alignment statistics using samtools flagstat, stats, depth, and coverage. Use when assessing alignment quality, calculating coverage, or generating QC reports.

Manage small business HR with BambooHR's people management platform.

Generates production-ready BAML applications from natural language requirements. Creates complete type definitions, functions, clients, tests, and framework integrations for data extraction, classification, RAG, and agent workflows. Queries official BoundaryML repositories via MCP for real-time patterns. Supports multimodal inputs (images, audio), 6 programming languages (Python, TypeScript, Ruby, Java, Go, C#), 10+ frameworks, 50-70% token optimization, and 95%+ compilation success.

Generic BAML patterns for type-safe LLM prompting. Covers schema design, DTO generation, client wrappers, and cross-language codegen. Framework-agnostic.

Generate images using Google's Gemini image generation model with Deno. Use this skill when the user wants to create AI-generated images, perform image-to-image transformations, or generate visual content from text prompts. Triggers include requests like "generate an image of...", "create a picture of...", "make an image with...", or "transform this image to...".

This skill should be used when building automated trading systems, implementing limit orders, or adding DCA/TWAP functionality. Covers limit orders, stop losses, DCA schedules, and TWAP execution.

This skill should be used when the user asks to "implement Bankr client", "write bankr-client.ts", "create API client for Bankr", "common files for Bankr project", "package.json for Bankr", "tsconfig for Bankr", "Bankr TypeScript patterns", "Bankr response types", or needs the reusable client code and common project files for Bankr API integrations.

This skill should be used when encountering authentication errors, API key errors, 401 errors, "invalid API key", "BANKR_API_KEY not set", job failures, or any Bankr API errors. Provides setup instructions and troubleshooting guidance for resolving Bankr configuration issues.

This skill should be used when executing Bankr requests, submitting prompts to Bankr API, polling for job status, checking job progress, using Bankr MCP tools, or understanding the submit-poll-complete workflow pattern. Provides the core asynchronous job pattern for all Bankr API operations.

This skill should be used when building perpetual trading bots, implementing leverage functionality, or adding position management. Covers Avantis integration, long/short positions, and risk controls.

This skill should be used when building market data displays, implementing price feeds, or adding technical analysis. Covers prices, market caps, technical analysis, sentiment, and trending tokens.

This skill should be used when building NFT marketplace integrations, implementing collection browsing, or adding floor price tracking. Covers OpenSea integration, floor prices, and NFT purchases.