すべてのSkill (6,277)

Master creating MCP tools with type-safe parameters, automatic schema generation, and best practices

Implement MCP resources that provide data and files to AI assistants - URIs, caching, and streaming

Create powerful MCP prompts that guide AI interactions with templates, arguments, and context injection

Production-ready patterns and best practices for MCP servers - architecture, security, performance, and maintenance

Identifies deeply nested if-let expressions and suggests let chains for cleaner control flow.

Reviews code architecture for hexagonal patterns, checks dependency directions, and suggests improvements for ports and adapters separation.

Proactively reviews error handling patterns and suggests improvements using Result types, proper error propagation, and idiomatic patterns.

Provides architectural guidance for data lake design including partitioning strategies, storage layout, schema design, and lakehouse pattern…

Provides guidance on reducing Lambda cold start times through binary optimization, lazy initialization, and deployment strategies.

Guides users on choosing between async and sync patterns for Lambda functions, including when to use tokio, rayon, and spawn_blocking.

Guides users on modern async patterns including native async fn in traits, async closures, and avoiding async-trait when possible.

Use when creating releases for Claude Code plugin marketplaces.

Use when generating or updating Table of Contents in markdown files.

Change phases in the GitHub Elements workflow by closing current thread and opening the next.

READ-ONLY quick overview of GitHub Elements workflow state.

This skill should be used when creating, updating, linking, or versioning requirements for GitHub Elements threads.

Generate detailed workflow reports with metrics, health assessments, and epic-specific analysis for GitHub Elements.

Reference material for Athena when writing requirements.

CLAIM a specific GitHub issue to START working on it.

Posts a progress checkpoint to the currently active GitHub Issue thread.

Reproduces the full prefill sensitivity analysis pipeline for reward hacking indicators.

This skill is a practical, 'use-it-while-debugging' reference for getting a LiveKit + Letta voice agent working reliably.

Use when the user explicitly asks for a SKILL to create a worktree.

Diagnoses and debugs A2A agent communication issues including agent status, message routing, transport connectivity, and log analysis.