git
claudeGit focused utilities with namespaced commands for advanced workflows
4 skills · 9 commands
Experienced Rust developer with expertise in building reliable network applications using the Tokio library and its associated stack
Plugin rust-tokio-expert from marketplace geoffjay-claude-plugins in geoffjay/claude-plugins. Commands read from the repo's manifest — 1 month ago.
tokio-concurrencyAdvanced concurrency patterns for Tokio including fan-out/fan-in, pipeline processing, rate limiting, and coordinated shutdown. Use when building high-concurrency async systems.
tokio-networkingNetwork programming patterns with Hyper, Tonic, and Tower. Use when building HTTP services, gRPC applications, implementing middleware, connection pooling, or health checks.
tokio-patternsCommon Tokio patterns and idioms for async programming. Use when implementing worker pools, request-response patterns, pub/sub, timeouts, retries, or graceful shutdown.
tokio-troubleshootingDebugging and troubleshooting Tokio applications using tokio-console, detecting deadlocks, memory leaks, and performance issues. Use when diagnosing async runtime problems.
/rust-tokio-expert:tokio-migrateMigrate synchronous code to async Tokio or upgrade between Tokio versions
/rust-tokio-expert:tokio-reviewReview Tokio code for async anti-patterns, performance issues, and best practices
/rust-tokio-expert:tokio-scaffoldScaffold new Tokio projects with proper structure and best practices
/rust-tokio-expert:tokio-testGenerate comprehensive async tests for Tokio applications
tokio-architectSystem architecture specialist for designing scalable async systems with Tokio
tokio-network-specialistNetwork programming specialist for Hyper, Tonic, Tower, and Tokio networking
tokio-performancePerformance optimization expert for async applications including profiling, benchmarking, and runtime tuning
tokio-proMaster Tokio runtime expert for async/await fundamentals, task management, channels, and synchronization
Git focused utilities with namespaced commands for advanced workflows
4 skills · 9 commands
Experienced Rust developer with expertise in user interface development using the gpui crate
4 skills · 4 commands · 5 agents
Advanced Ruby development tools with a focus on the Sinatra web framework
4 skills · 4 commands · 4 agents
Experienced Rust developer with expertise in building delightful CLI applications using Clap and the Rust CLI ecosystem
4 skills · 4 commands · 4 agents
Experienced Go development patterns and tools
3 skills · 3 commands · 3 agents
Plugin management and scaffolding tools for creating and maintaining Claude Code plugins
2 skills · 3 commands · 1 agent
Early access: ruflo's cockpit as a Claude Code mod (function hooks) and the one /ruflo command for every ruflo mod — overview with health alerts, swarm topology, claims flow, federation map, plugin health, learning pipeline, MetaHarness radar, memory, cost gauge, agent timeline, approvals and events; a command palette for confirm-gated actions through the ruflo CLI; auto-opens where it docks; no network by default
1 skill
Install the "Systems Programming" workflow plugin from Agentic Awesome Skills.
5 skills
This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem.
37 skills
Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices
16 skills · 1 command · 3 agents
Run your monday CRM in plain language. Build a pipeline from scratch, start the day with a ranked deal briefing, spin up a forecast dashboard, audit board health, clean up messy data in bulk, and turn meeting notes into deal updates. Every skill writes back into monday as a real update, doc, or dashboard. Built on the official monday MCP connector.
10 skills · 1 MCP server
Study companion for the Deep Learning textbook by Goodfellow, Bengio & Courville (MIT Press, 2016), free to read at deeplearningbook.org. Twenty chapter files, a glossary, patterns and a cheatsheet index the whole book, and a delta reference dates it against 2026 practice with per-claim confidence levels: double descent qualifying the U-curve, AdamW splitting weight decay from L2, transformers displacing Chapter 10's recurrence, diffusion growing out of Chapter 18's score matching. Four stdlib tools make it executable — a prerequisite-closed reading-path planner that refuses goals the book does not cover, a training diagnostic running Chapter 11's rules in priority order so a NaN is never reported as overfitting, a capacity planner that ranks 'shrink the model' last when overparameterized, and a parameter/FLOP/activation-memory calculator that refuses a stack whose shapes do not connect. A companion, not a compilation: the book is copyrighted, so nothing here reproduces its text.
1 skill · 3 commands · 1 agent
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