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All Skills

Total 57,978 skills

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Showing 12 of 57978 skills

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Project Managementlerianstudio/ring

ring:project-health-check

Individual project health assessment skill for evaluating project status across multiple dimensions. Provides early warning of troubled projects.

🇺🇸|EnglishTranslated
2
Code Qualityridewind/my-skills

code-review:executor

This skill should be used when the user requests actions such as 'review code', 'do a code review', 'review my branch', 'review MR !1234', or 'review PR'

🇨🇳|ChineseTranslated
2
3 scripts/Attention
Code Qualityridewind/my-skills

code-review:config-manager

This skill should be used when the user asks to "manage review skills config", "update review skills", "discover review skills", "manage review presets", "validate review config", or mentions managing code review skills configuration. Use for configuration management tasks.

🇨🇳|ChineseTranslated
2
4 scripts/Attention
DevOps & Cloud Services2389-research/claude-plug...

firebase-development:debug

This skill should be used when troubleshooting Firebase emulator issues, rules violations, function errors, auth problems, or deployment failures. Triggers on "error", "not working", "debug", "troubleshoot", "failing", "broken", "permission denied", "emulator issue".

🇺🇸|EnglishTranslated
2
AI & Machine Learning2389-research/claude-plug...

qbp:discernment

Use when facing questions with ethical weight, multiple valid approaches, significant trade-offs, or potential for harm - before answering, convene internal voices to discern rather than conclude

🇺🇸|EnglishTranslated
2
Code Qualityikatsuba/skills

review:diff

Diff Review - analyzes code changes and provides structured feedback before commit

🇺🇸|EnglishTranslated
2
Backend Developmentaaronbassett/agent-foundr...

flutter-core:flutter-serverpod

Comprehensive Serverpod backend framework expertise for full-stack Dart/Flutter development. Use when building server-side applications with Serverpod, implementing backends for Flutter apps, working with type-safe ORMs, creating real-time features, managing authentication, or deploying production Dart servers. Covers installation, project setup, endpoints, database operations, authentication, real-time communication, file uploads, deployment, and testing.

🇺🇸|EnglishTranslated
2
AI & Machine Learningeveryinc/compound-enginee...

ce:compound

Document a recently solved problem to compound your team's knowledge

🇺🇸|EnglishTranslated
2
Backend Developmentmartinffx/claude-code-ate...

python:temporal

Temporal workflow orchestration in Python. Use when designing workflows, implementing activities, handling retries, managing workflow state, or building durable distributed systems.

🇺🇸|EnglishTranslated
2
Frontend Developmentsnakeo/claude-debug-and-r...

debug:angular

Debug Angular applications systematically with expert-level diagnostic techniques. This skill provides comprehensive guidance for troubleshooting dependency injection errors, change detection issues (NG0100), RxJS subscription leaks, lazy loading failures, zone.js problems, and common Angular runtime errors. Includes structured four-phase debugging methodology, Angular DevTools usage, console debugging utilities (ng.probe), and performance profiling strategies for modern Angular applications.

🇺🇸|EnglishTranslated
2
Backend Developmentsnakeo/claude-debug-and-r...

refactor:spring-boot

Refactor Spring Boot and Java code to improve maintainability, readability, and adherence to enterprise best practices. This skill transforms messy Spring Boot applications into clean, well-structured solutions following SOLID principles and Spring Boot 3.x conventions. It addresses fat controllers, improper transaction boundaries, field injection anti-patterns, and scattered configuration. Leverages Java 21+ features including record patterns, pattern matching for switch, virtual threads, and sequenced collections.

🇺🇸|EnglishTranslated
2
AI & Machine Learningsnakeo/claude-debug-and-r...

debug:scikit-learn

Debug Scikit-learn issues systematically. Use when encountering model errors like NotFittedError, shape mismatches between train and test data, NaN/infinity value errors, pipeline configuration issues, convergence warnings from optimizers, cross-validation failures due to class imbalance, data leakage causing suspiciously high scores, or preprocessing errors with ColumnTransformer and feature alignment.

🇺🇸|EnglishTranslated
2
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