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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

1,129–1,152 sur 5,502

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Explorer

GitHub

te-doctor

elb-pr

Use this skill when users say "tool executor not working", "diagnose tool executor", "check MCP health", "run tool executor tests", "debug search_tools", "execute_code failing", or need to troubleshoot issues w...

GitHub

dojo-review

dojoengine

Review Dojo code for best practices, common mistakes, security issues, and optimization opportunities. Use when auditing models, systems, tests, or preparing for deployment.

GitHub

aptos-gas-optimization

raintree-technology

Expert on Aptos gas optimization, performance tuning, storage costs, execution efficiency, inline functions, aggregator usage, parallel execution, table vs vector tradeoffs, and gas profiling tools. Triggers on...

GitHub

aptos-move-language

raintree-technology

Expert on Move programming language - abilities (copy/drop/store/key), generics, phantom types, references, global storage operations, signer pattern, visibility modifiers, friend functions, inline optimization...

GitHub

shelby-network-rpc

raintree-technology

Expert on Shelby Protocol network infrastructure, RPC servers, storage providers, Cavalier implementation, tile architecture, performance optimization, connection management, and DoubleZero private network. Tri...

GitHub

ts-morph-analyze

dafthunk-com

Analyze TypeScript code structure using ts-morph. Use for summarizing class/interface APIs, listing exports, showing inheritance hierarchies, or extracting interfaces from classes. Outputs signatures without im...

GitHub

posthog

andrehfp

Implement PostHog analytics, feature flags, and session replay for Next.js apps. Use this skill for event tracking, user identification, A/B testing, experiments, and session recording setup. Also handles analy...

GitHub

code-review

axivo

Systematic and adaptable code review methodology using Language Server Protocol tools. Adapts to available LSP capabilities across programming languages. Use when user asks for code reviews, quality assessments...

GitHub

framework-initialization

axivo

Startup protocol executed once at session start. Detects system instruction impulses, caches framework observations from memory graph, establishes temporal awareness, and activates specialized profiles. Provide...

GitHub

pine-debugger

TradersPost

Adds debugging capabilities and troubleshoots Pine Script issues in TradingView's opaque environment. Use when scripts have errors, unexpected behavior, need debugging tools added, or require troubleshooting. T...

GitHub

lsp-code-analysis

lsp-client

Semantic code analysis via LSP. Navigate code (definitions, references, implementations), search symbols, preview refactorings, and get file outlines. Use for exploring unfamiliar codebases or performing safe r...

GitHub

datadog

OpenHands

Query and analyze Datadog logs, metrics, APM traces, and monitors using the Datadog API. Use when debugging production issues, monitoring application performance, or investigating alerts.

GitHub

code-review

OpenHands

Structured code review covering style, readability, and security concerns with actionable feedback. Use when reviewing pull requests or merge requests to identify issues and suggest improvements.

GitHub

code-reviewer

jason0x43

Automatic code quality and best practices analysis. Use proactively when files are modified, saved, or committed. Analyzes code style, patterns, potential bugs, and security basics. Triggers on file changes, gi...

GitHub

moai-workflow-loop

modu-ai

Ralph Engine - Automated feedback loop with LSP diagnostics and AST-grep integration for continuous code quality improvement. Use when implementing error-driven development, automated fixing, or continuous qual...

GitHub

moai-tool-ast-grep

modu-ai

AST-based structural code search, security scanning, and refactoring using ast-grep (sg CLI). Supports 40+ languages with pattern matching and code transformation.

GitHub

sf-testing

Jaganpro

Comprehensive Salesforce testing skill with test execution, code coverage analysis, and agentic test-fix loops. Run Apex tests, analyze coverage, generate test patterns, and automatically fix failing tests with...

GitHub

sf-debug

Jaganpro

Salesforce debugging and troubleshooting skill with log analysis, governor limit detection, and agentic fix suggestions. Parse debug logs, identify performance bottlenecks, analyze stack traces, and automatical...

GitHub

sf-apex

Jaganpro

Generates and reviews Salesforce Apex code with 2025 best practices and 150-point scoring. Use when writing Apex classes, triggers, test classes, batch jobs, or reviewing existing Apex code for bulkification, s...

GitHub

autoskill

nicknisi

Analyze coding sessions to detect corrections and preferences, then propose targeted improvements to Skills used in the session. Use this skill when the user asks to "learn from this session", "update skills",...

GitHub

sqlite-with-gcov

letta-ai

Guidance for compiling SQLite (or similar C projects) with gcov code coverage instrumentation. This skill should be used when tasks involve building software with gcov flags, setting up code coverage instrument...

GitHub

fix-ocaml-gc

letta-ai

Guide for debugging and fixing bugs in the OCaml garbage collector runtime, particularly issues in memory management code like sweeping, pool management, and run-length compression. This skill should be used wh...

GitHub

vulnerable-secret

letta-ai

Guidance for extracting secrets from protected or obfuscated binaries through systematic static and dynamic analysis. This skill should be used when tasks involve reverse engineering executables, extracting hid...

GitHub

schemelike-metacircular-eval

letta-ai

Guide for implementing metacircular evaluators—interpreters that can interpret themselves. This skill should be used when building self-interpreting Scheme-like evaluators, debugging multi-level interpretation...

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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