Total 46,213 skills
Showing 12 of 46213 skills
Workflow navigation assistant that recommends next steps and optimizes documentation sequence through the SDD workflow
Expert-level Rust development with ownership, lifetimes, async, error handling, and production-grade patterns
Create Technical Specifications (SPEC) - Layer 10 artifact using YAML format for implementation-ready specifications
Create Business Requirements Documents (BRD) following SDD methodology - Layer 1 artifact defining business needs and objectives
Commit changes, push to GitHub, and open a PR. Includes quality checks (security, patterns, simplification). Use --quick to skip checks.
Amazon Bedrock Agents for building autonomous AI agents with foundation model orchestration, action groups, knowledge bases, and session management. Use when creating AI agents, orchestrating multi-step workflows, integrating tools with LLMs, building conversational agents, implementing RAG patterns, managing agent sessions, deploying production agents, or connecting knowledge bases to agents.
Know when your AI breaks in production. Use when you need to monitor AI quality, track accuracy over time, detect model degradation, set up alerts for AI failures, log predictions, measure production quality, catch when a model provider changes behavior, build an AI monitoring dashboard, or prove your AI is still working for compliance. Covers DSPy evaluation for ongoing monitoring, prediction logging, drift detection, and alerting.
Read the source of the C module we are working on, before we made any changes.
Build 2D browser games with Phaser 3 (JS/TS): scenes, sprites, physics (Arcade/Matter), tilemaps (Tiled), animations, input. Trigger: 'Phaser scene', 'Arcade physics', 'tilemap', 'Phaser 3 game'.
Debugging and troubleshooting Tokio applications using tokio-console, detecting deadlocks, memory leaks, and performance issues. Use when diagnosing async runtime problems.
Guide for porting a C module to Rust
Expertise in Go programming according to the Google Go Best Practices. Focuses on actionable advice for naming, error handling, performance, testing, and general idiomatic Go to ensure high-quality, maintainable, and efficient codebases.