By JosiahSiegel
Plan and manage context for complex multi-file projects, architecture decisions, refactoring, and research tasks. Optimizes file creation order, maps dependencies, and prevents redundant work to save context and maintain session performance.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub josiahsiegel/claude-plugin-marketplace --plugin context-masterComprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems
Harness-native ECC plugin for engineering teams - 67 agents, 279 skills, 94 legacy command shims, reusable hooks, rules, MCP conventions, and operator workflows for Claude Code plus adjacent agent harnesses
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.
Matt Pocock's agent skills for real engineering — grilling, spec/ticket flows, TDD, code review, domain modelling and more. Plug-and-play, not vibe coding.
Complete PowerShell 7.5/7.6 expertise system across ALL platforms (Windows/Linux/macOS) with 2025 breaking changes coverage, shell detection, and modern automation. PROACTIVELY activate for: (1) ANY PowerShell task (scripts/modules/cmdlets), (2) PowerShell 7.5.4 stable features (ConvertTo-CliXml, Test-Path -OlderThan/-NewerThan, .NET 9), (3) PowerShell 7.6 preview features (+= 16x optimization, Get-Clipboard -Delimiter, Get-Command -ExcludeModule, DSC v3, .NET 10), (4) 2025 migrations (MSOnline/AzureAD retirement, PowerShell 2.0 removal, WMIC replacement), (5) Modern security (SecretManagement, JEA, WDAC, Constrained Language Mode), (6) PSResourceGet 1.1.1/1.2.0 package management (2x faster than PowerShellGet), (7) CI/CD automation (GitHub Actions/Azure DevOps/GitLab), (8) Azure Az and Microsoft.Graph automation, (9) Cross-platform scripting with .NET 9/10 performance, (10) Shell detection and cross-shell compatibility (PowerShell vs Git Bash/MSYS2). Provides: PowerShell 7.5.4 stable / 7.6.0-preview.6 features, 2025 breaking changes guidance, MSOnline/AzureAD to Microsoft.Graph migration paths, WMIC to Get-CimInstance conversions, PSResourceGet adoption patterns, SecretManagement vault setup, Pester testing with coverage, module development best practices, latest security patterns (JEA, WDAC), shell detection on Windows, and production-ready 2025-2026 automation patterns.
Comprehensive Python 3.13+ expertise system covering modern Python development, async programming, type hints, performance optimization, Modal.com serverless, OpenCV computer vision, FFmpeg video/audio processing, video pipeline integration, and cloud deployment. PROACTIVELY activate for: (1) ANY Python task, (2) Python 3.13+ features (free-threading, JIT), (3) asyncio and concurrent programming, (4) Type hints and mypy/pyright, (5) Package management (uv, pip, poetry), (6) Project structure (src layout, pyproject.toml), (7) FastAPI and web development, (8) Pydantic data validation, (9) Testing (pytest, coverage), (10) Cloudflare Workers/Containers Python, (11) GitHub Actions Python workflows, (12) Performance optimization and profiling, (13) Security best practices (OWASP), (14) Ruff linting and formatting, (15) Modal.com serverless functions and GPU workloads, (16) Modal scheduled tasks and cron jobs, (17) Modal parallel processing with map/starmap, (18) OpenCV image/video processing, (19) cv2.imread cv2.VideoCapture BGR color format, (20) Computer vision contours edge detection, (21) OpenCV DNN deep learning inference, (22) FFmpeg video encoding H.264 H.265 VP9 AV1, (23) ffmpeg-python filter graphs audio extraction, (24) PyAV frame-level video processing, (25) Video transcoding CRF presets hardware acceleration, (26) Audio conversion MP3 AAC FLAC Opus, (27) HLS DASH RTMP streaming protocols, (28) Video thumbnails GIF creation concatenation, (29) Subprocess FFmpeg deadlock prevention, (30) FFmpeg OpenCV integration pipeline, (31) Modal video processing parallel map starmap, (32) ffmpegcv GPU video reader writer, (33) VidGear RTSP streaming camera capture, (34) Decord batch video loading deep learning, (35) Video chunk parallel processing serverless, (36) BGR RGB color format conversion gotchas, (37) Frame dimension HWC CHW numpy transpose. Provides: Python 3.13 free-threading and JIT, asyncio patterns, comprehensive type hints, uv package management, FastAPI production patterns, Pydantic vs dataclass guidance, pytest testing, Cloudflare Python optimization, GitHub Actions caching, memory profiling, security hardening, Modal.com type-safe functions and ML inference patterns, OpenCV BGR/RGB conversion gotchas, video capture memory management, image filtering and transformations, feature detection and matching, DNN module inference, FFmpeg audio stream preservation gotchas, CRF encoding quality control, hardware acceleration NVENC QSV VAAPI, ffprobe metadata extraction, video filter chains, FFmpeg+OpenCV+Modal integration patterns, parallel frame processing with Modal map/starmap, GPU-accelerated video pipelines, chunk-based large video processing, HLS streaming generation on Modal.
Complete Salesforce expertise system across ALL platforms and integration scenarios with Windows/Git Bash compatibility. PROACTIVELY activate for: (1) ANY Salesforce task (API/data/Apex/Lightning/Flow), (2) SOQL/SOSL query design and optimization, (3) REST/SOAP API integration and authentication, (4) Apex development (classes/triggers/batch/scheduled) with Spring '25 features, (5) Lightning Web Components with lightning/graphql module and Aura development, (6) Data model design and schema management (objects/fields/relationships), (7) Integration patterns (source-to-Salesforce, Salesforce-to-target), (8) Deployment and metadata management (change sets/SFDX/CLI) with Windows/Git Bash path handling, (9) Security model implementation (profiles/permissions/sharing), (10) Flow/Process Builder/Flow Orchestrator automation, (11) Agentforce 2.0 AI agents and autonomous automation, (12) Data Cloud Vector Database with semantic search, (13) Hyperforce public cloud architecture. Provides: comprehensive SFDC object schema knowledge (standard/custom objects, all fields, relationships), complete API reference (REST/SOAP/Bulk/Streaming) for API 63.0/64.0, Apex language mastery with Compression and FormulaEval namespaces (Spring '25 GA), Lightning platform expertise with Winter '26 GraphQL updates and SLDS 2.0 dark mode, SOQL/SOSL optimization, authentication methods (OAuth/JWT/Session), limits and best practices, governor limits handling, integration patterns (ETL/real-time/batch/Data Cloud), metadata API operations, SFDX CLI commands with cross-platform path conversion (MSYS_NO_PATHCONV, shell detection, cygpath), version-specific guidance, platform event architecture, Agentforce 2.0 development with LLM Open Connector, Data Cloud Vector Database for unstructured data and hybrid search, Flow Orchestrator multi-user workflows, Hyperforce cloud-native architecture, and Windows Git Bash/MINGW compatibility for SF CLI deployments. Ensures production-ready, scalable, secure Salesforce solutions following Spring '25/Summer '25 best practices and Well-Architected Framework.
Windows path resolution and Git Bash compatibility expert for Claude Code. PROACTIVELY activate for: (1) File path errors on Windows (backslash issues), (2) Git Bash MINGW path resolution, (3) Edit/Write tool failures with Windows paths, (4) Cross-platform path conversion, (5) Windows file system navigation in Claude Code, (6) Path format detection and conversion, (7) Windows-specific file operation troubleshooting. Provides: automatic path format detection, backslash conversion guidance, Git Bash compatibility fixes, Windows-specific file operation patterns, MINGW path troubleshooting, real-time path validation, and production-ready Windows file handling. Ensures correct file operations on Windows following Claude Code best practices.
Complete Azure-to-Docker migration system for local development with 2025 features. PROACTIVELY activate for: (1) ANY Azure-to-Docker migration task, (2) Azure infrastructure extraction and Docker Compose generation, (3) Azure service emulator setup (Azurite 2025-11-05 API, SQL Server 2025 latest, Cosmos DB vnext Linux, Service Bus official emulator), (4) Local development with Docker Compose Watch mode (hot reload), (5) Database export from Azure SQL/PostgreSQL/MySQL to Docker, (6) Dockerfile generation from Azure App Service configurations, (7) Multi-container orchestration with proper networking and dependencies, (8) Production-ready Docker Compose with health checks and runtime secrets, (9) Azure service mapping (App Service/SQL/Storage/Redis/Cosmos/Service Bus), (10) Development-to-production parity with Azure emulators. Provides: Azure resource extraction and analysis, complete Docker Compose generation with 2025 best practices, Azure emulator configuration (Azurite with latest API, SQL Server 2025 with Vector Search, Cosmos DB vnext Linux-based, official Service Bus emulator), Docker Compose Watch mode for hot reload, database export automation, App Service to Dockerfile conversion, service dependency mapping, network isolation patterns, volume management strategies, environment variable templating, health check implementation, resource limit configuration, security hardening (non-root users, read-only filesystems, capability drops, runtime-only secrets), development override patterns with watch mode, and Azure-to-Docker best practices. Ensures production-ready local development environments that mirror Azure infrastructure with instant hot reload capabilities.