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All Skills

Total 31,643 skills

Categories

Showing 12 of 31643 skills

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AI & Machine Learningaffaan-m/everything-claud...

strategic-compact

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

🇺🇸|EnglishTranslated
7
1 scripts/Attention
DevOps & Cloud Serviceshashicorp/agent-skills

terraform-style-guide

Generate Terraform HCL code following HashiCorp's official style conventions and best practices. Use when writing, reviewing, or generating Terraform configurations.

🇺🇸|EnglishTranslated
7
Backend Developmentaffaan-m/everything-claud...

postgres-patterns

PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.

🇺🇸|EnglishTranslated
7
Code Qualitywshobson/agents

python-error-handling

Python error handling patterns including input validation, exception hierarchies, and partial failure handling. Use when implementing validation logic, designing exception strategies, handling batch processing failures, or building robust APIs.

🇺🇸|EnglishTranslated
7
Code Qualitywshobson/agents

python-code-style

Python code style, linting, formatting, naming conventions, and documentation standards. Use when writing new code, reviewing style, configuring linters, writing docstrings, or establishing project standards.

🇺🇸|EnglishTranslated
7
Frontend Developmentanalogjs/angular-skills

angular-tooling

Use Angular CLI and development tools effectively in Angular v20+ projects. Use for project setup, code generation, building, testing, and configuration. Triggers on creating new projects, generating components/services/modules, configuring builds, running tests, or optimizing production builds.

🇺🇸|EnglishTranslated
7
Frontend Developmentanalogjs/angular-skills

angular-directives

Create custom directives in Angular v20+ for DOM manipulation and behavior extension. Use for attribute directives that modify element behavior/appearance, structural directives for portals/overlays, and host directives for composition. Triggers on creating reusable DOM behaviors, extending element functionality, or composing behaviors across components. Note - use native @if/@for/@switch for control flow, not custom structural directives.

🇺🇸|EnglishTranslated
7
Frontend Developmentanalogjs/angular-skills

angular-di

Implement dependency injection in Angular v20+ using inject(), injection tokens, and provider configuration. Use for service architecture, providing dependencies at different levels, creating injectable tokens, and managing singleton vs scoped services. Triggers on service creation, configuring providers, using injection tokens, or understanding DI hierarchy.

🇺🇸|EnglishTranslated
7
Documentation & Writingcomposiohq/awesome-claude...

content-research-writer

Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.

🇺🇸|EnglishTranslated
7
Frontend Developmentanalogjs/angular-skills

angular-forms

Build signal-based forms in Angular v21+ using the new Signal Forms API. Use for form creation with automatic two-way binding, schema-based validation, field state management, and dynamic forms. Triggers on form implementation, adding validation, creating multi-step forms, or building forms with conditional fields. Signal Forms are experimental but recommended for new Angular projects.

🇺🇸|EnglishTranslated
7
Frontend Developmentanalogjs/angular-skills

angular-signals

Implement signal-based reactive state management in Angular v20+. Use for creating reactive state with signal(), derived state with computed(), dependent state with linkedSignal(), and side effects with effect(). Triggers on state management questions, converting from BehaviorSubject/Observable patterns to signals, or implementing reactive data flows.

🇺🇸|EnglishTranslated
7
AI & Machine Learningwshobson/agents

llm-evaluation

Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.

🇺🇸|EnglishTranslated
7
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