swift-language-pro

Ratcheted SwiftLint, copy-paste detection, and Xcode project malware scan. Runs automatically after Swift edits and before commits.

1 skill · hooks

App Intents: AppIntent, parameters, entities, App Shortcuts, Siri and Spotlight.

1 skill

Core Data: modeling, NSPersistentContainer, background contexts, fetch requests, migration.

1 skill

iOS accessibility: VoiceOver, Dynamic Type, contrast, Reduce Motion, and testing.

1 skill

App architecture: feature modularization, MVVM with @Observable, dependency injection, routing.

1 skill

async/await, actors, Sendable, and strict concurrency for Swift 6.

1 skill

AGENTS.md as project instructions, by one option. Under claude-md-or-agents-md a project with no instruction files of its own gets its AGENTS.md files instead: a prompt.context hook asks $.fs.ancestors for every AGENTS.md and .claude/AGENTS.md from the filesystem root down to the working directory and hands them to the engine as project instruction files, which it renders, announces and withholds from agents exactly as it does CLAUDE.md, skipping any file the engine already loaded by import or link; a tool.call hook on Read attaches the ones under the project root as the engine attaches a nested CLAUDE.md. Under claude-md-and-agents-md every AGENTS.md is loaded beside CLAUDE.md. Under managed-only the project's and the person's instruction files are dropped and the organization's managed ones kept. Under claude-md the engine's walk stands alone. claude-md-or-agents-md is the default.

MetaHarness integration — surfaces score/genome/mint/mcp-scan/threat-model via skills; pairs with @metaharness/router (ADR-148/149) for cost-optimal model routing; honors ADR-150 optional-augmentation constraint

13 skills · 1 command · 1 agent · hooks

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

Price bonds, analyze yield curves, evaluate FX carry trades, value options, and build macro dashboards using LSEG financial data and analytics.

8 skills · 8 commands · 1 MCP server