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Skills IA data ai debugging

Découvrez les skills data ai debugging, comparez leurs dépôts et consultez leurs instructions.

Catégories: data ai debugging

5,353–5,376 sur 5,502

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GitHub

b2b-visualisation

THEKINGJEZE

Design data visualisations for B2B dashboards displaying buying signals, composite scores, trends, and alerts. Apply when building charts, sparklines, score breakdowns, heatmaps, or any interface requiring rapi...

GitHub

observability-troubleshooting

claushaas

Add or improve observability (logs, metrics, traces, alerts) and troubleshoot production or performance issues. Use when diagnosing incidents, defining SLOs, or instrumenting critical paths.

GitHub

code-review

Atikri

Reviews code changes for bugs, style issues, and best practices. Use when reviewing PRs or checking code quality.

GitHub

todo-log-analysis

cmw-coder

解析 Agent 执行日志,计算并输出文件准备、检索、代码生成及最终校验四个核心阶段的耗时。

GitHub

crane-testing

cyotee

This skill should be used when the user asks about "testbase", "behavior library", "invariant test", "handler", "fuzz test", "test pattern", "Behavior_", "TestBase_", or needs guidance on Crane's testing infras...

GitHub

project-analysis

zlyv587

This skill should be used when the user asks to "analyze this project", "what type of project is this", "detect project structure", "understand this codebase", or when Claude needs to determine project type for...

GitHub

event-flow-tracer

Hawi254

Traces causal execution flow while coding by reconstructing Command → Validation → Events → State → Projections from real artifacts using terminal access. Automatically used after changes to event emission, ord...

GitHub

crane-testing

cyotee

This skill should be used when the user asks about "testbase", "behavior library", "invariant test", "handler", "fuzz test", "test pattern", "Behavior_", "TestBase_", or needs guidance on Crane's testing infras...

GitHub

debug-triage

pevd950

Systematically reproduce, diagnose, and fix bugs; use when debugging failures, crashes, or test errors (trigger keywords: debug, bug, failure, crash, flaky test).

GitHub

vercel-react-best-practices

ovftank

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Trigge...

GitHub

chronicle-assistant-guide

ChandlerHardy

Project-agnostic guidance for AI assistants using Chronicle. Provides search-first directives, best practices, and workflow patterns across ALL Chronicle-tracked projects. Works with or without MCP server.

GitHub

ej-deployment-bug-fix

yi1jack0

EJ's structured deployment debugging workflow for when code changes are not reflected after deployment. Use when users report deployment failures, changes not appearing in production, build errors, CI/CD pipeli...

GitHub

root-cause-expert

swami086

Expert system for Root Cause Analysis (RCA) and deep debugging. Leverages systematic log analysis (including Rollbar), dependency mapping, and sequential reasoning to isolate and resolve complex UI/UX and backe...

GitHub

wos-errors

amk92987

Review and debug application errors. Shows recent errors from the database, analyzes stack traces, and helps fix issues. Use when you receive an error notification email or want to check for issues.

GitHub

debug-code

yuriolive

Debugs code issues, errors, failing tests, and broken flows using a systematic workflow. Identifies root causes, applies minimal fixes, and validates solutions. Works with errors, test failures, API issues, dat...

GitHub

cloudflare-workers

stephanofer

Cloudflare Workers essentials - Hono routing, middleware, request handling, bindings. Trigger: When working with Cloudflare Workers, Hono framework, serverless APIs, edge computing.

GitHub

bookmark-patterns

thewind121212

Teaches Bookmark Vault coding patterns. Use when asking about best practices, patterns, or how to implement features in the bookmark app.

GitHub

codex

dnldxn

Use the OpenAI Codex CLI to analyze code, plan, and perform other tasks.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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