GitHub
rca-analysis
Perform Root Cause Analysis using a multi-agent swarm approach. Use when investigating bugs, failures, performance issues, or any problem requiring systematic diagnosis. Triggers on requests like "why is X fail...
Skills IA research debugging
Découvrez les skills research debugging, comparez leurs dépôts et consultez leurs instructions.
Catégories: research debugging
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Explorer
GitHub
web-design-guidelines
Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".
GitHub
data-quality-framework
Implement validation, profiling, and anomaly detection.
GitHub
java-performance-profiling
A reproducible Java performance profiling workflow using JFR and async-profiler concepts: capture evidence (CPU/alloc/locks), analyze flamegraphs, form hypotheses, ship fixes, and verify regressions. Use when C...
GitHub
exploit-dev-expert
Exploit development expert. Buffer overflow, shellcode, ROP, format strings, binary exploitation. Use for exploit writing and PoC development.
GitHub
meta-analyze
Analyze telemetry data and extract development patterns
GitHub
zap-logging
Blazing fast structured logging from Uber.
GitHub
b2b-visualisation
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
debug
Debug code issues, trace errors, and identify root causes
GitHub
diagnose-performance
Diagnose Manny MCP performance issues and suggest optimizations
GitHub
observability-troubleshooting
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
Reviews code changes for bugs, style issues, and best practices. Use when reviewing PRs or checking code quality.
GitHub
lifecycle-health-monitor
Monitors overall project health across time, specifically looking for spec drift and debt. Use during regular project reviews.
GitHub
todo-log-analysis
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
bug-investigation
Systematic bug investigation and root cause analysis
GitHub
web-performance
Performance patterns for Apollo caching, Redis, and CloudFront optimization
GitHub
crane-testing
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
performance-optimizer
Profile and resolve bottlenecks and caching gaps.
GitHub
project-analysis
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
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
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
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
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
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.
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.