GitHub
performance-profiling
Performance analysis and profiling focused on bottlenecks, latency, and resource usage. Use when there is slowness, high resource consumption, or unmet performance targets.
Skills IA Bases de données
Découvrez les skills Bases de données, comparez leurs dépôts et consultez leurs instructions.
Catégories: Bases de données
Bases de données Effacer les filtres
Explorer
GitHub
devvit-logs
Stream Devvit logs for an installed app (trigger phrases: "devvit logs", "stream logs", "check logs", "show logs"). Requires the user to provide the target subreddit.
GitHub
frontend-expert-review
Expert-level frontend code review workflow focusing on maintainability, security, performance, and accessibility. Use when reviewing frontend diffs, PRs, components, SPAs, UI logic, or framework-specific code (...
GitHub
root-cause-tracing
Use when errors occur deep in execution and you need to trace back to find the original trigger - systematically traces bugs backward through call stack, adding instrumentation when needed, to identify source o...
GitHub
java-gc-tuning
A disciplined GC analysis and tuning workflow for Java (G1/ZGC): symptoms triage, evidence capture (GC logs/JFR/heap), heap sizing, allocation hotspot reduction, and safe rollout. Use when GC pauses, OOMs, or s...
GitHub
map-codebase
Mapping and understanding existing codebases
GitHub
nestjs-error-handling
Global Exception Filters and standard error formats.
GitHub
security-auditor
Audit NutriProfile code for security vulnerabilities. Use this skill when reviewing authentication, authorization, data validation, API security, or RGPD compliance. Covers OWASP Top 10 and European data protec...
GitHub
implementation-review
Expert implementation reviewer that compares implementations against their approved plans. Verifies completeness, correctness, and quality. Produces structured verdicts.
GitHub
debug-workflow
Systematic debugging and problem resolution
GitHub
python-performance
Performance optimization, profiling, benchmarking, memory management
GitHub
performance-optimizer
Web Performance Optimizer (frontend + backend aware) converting performance findings into code-level fixes.
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...
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.
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.