监控
日志、指标与可观测性
Figma Developer
daffy0208
Extract components from Figma, convert designs to React components, sync design tokens, and generate code from designs. Bridge the gap between design and code with automated workflows.
pricing-strategist
daffy0208
Design and optimize pricing strategies for SaaS products including tiering, packaging, value metrics, and experimentation. Use when setting initial pricing, optimizing conversion, expanding revenue, or when users ask about pricing strategy, monetization, or revenue optimization.
use-case-diagram
martinellich
Creates or updates PlantUML use case diagrams defining actors, use cases, and their relationships from requirements. Use when the user asks to "create a use case diagram", "draw a UML diagram", "map actors to use cases", "generate a .puml file", or mentions PlantUML, use case overview, actor diagram, or system use cases.
algorithms
Tyler-R-Kendrick
Use when selecting algorithms, analyzing complexity, or reasoning about data structure choices. Covers Big-O notation, space vs time tradeoffs, amortized analysis, and algorithmic problem-solving strategy based on Knuth's "The Art of Computer Programming." USE FOR: algorithm selection, Big-O analysis, complexity comparison, choosing data structures, algorithmic problem-solving strategy DO NOT USE FOR: specific algorithm implementations (use sub-skills), system architecture (use dev/architecture), design patterns (use dev/design-patterns)
aws-cost-optimization
rameshvr
Use when analyzing AWS costs, optimizing cloud spend, reducing AWS bills, implementing cost controls, or addressing budget overruns. Covers Reserved Instances, Savings Plans, right-sizing, resource cleanup, and cost monitoring.
DDoS Attack Testing
zebbern
This skill should be used when the user asks to "test for DDoS vulnerabilities", "perform denial of service testing", "simulate traffic floods", "assess network resilience", "configure DDoS detection rules", or "analyze DoS attack patterns". It provides comprehensive techniques for authorized DDoS testing and detection configuration.
Wi-Fi Penetration Testing
zebbern
This skill should be used when the user asks to "perform wireless network penetration testing", "crack WEP or WPA passwords", "capture Wi-Fi handshakes", "conduct deauthentication attacks", "test wireless security", "perform MITM attacks on Wi-Fi", or "assess wireless network vulnerabilities". It provides comprehensive techniques for auditing wireless network security.
nav-init
dkyazzentwatwa
Initialize Navigator documentation structure in a project. Auto-invokes when user says "Initialize Navigator", "Set up Navigator", "Create Navigator structure", or "Bootstrap Navigator".
Metrics Knowledge
yamz8
This skill should be used when the user asks to "track metrics", "calculate ARR", "what metrics should I track", "benchmark my metrics", "understand churn", "calculate LTV", "what is burn multiple", "GMV calculation", "marketplace metrics", or mentions specific metrics like ARR, MRR, NRR, churn, CAC, LTV, burn rate, runway, GMV, take rate, or cohort analysis.
🎭 tmux × iTerm2 Integration
ShunsukeHayashi
Miyabi Plugins for Claude Code - 25+ Agents, 22 Skills, 50+ Commands
🎭 tmux × iTerm2 Integration
ShunsukeHayashi
Miyabi Plugins for Claude Code - 25+ Agents, 22 Skills, 50+ Commands
planning-monitoring-checks
OzeroHAX
Observability: metrics, alerts, dashboards, post-change observation windows
20-andruia-niche-intelligence
ncdevshiv
"Estratega de Inteligencia de Dominio de Andru.ia. Analiza el nicho específico de un proyecto para inyectar conocimientos, regulaciones y estándares únicos del sector. Actívalo tras definir el nicho."
testing-load
OzeroHAX
Load testing (k6/JMeter scenarios, benchmarks)
fundamentals
pluginagentmarketplace
Core JavaScript fundamentals including variables, data types, operators, control flow, and basic syntax. Essential foundation for all JavaScript development.
grey-haven-smart-debugging
greyhaven-ai
"AI-powered intelligent debugging with stack trace analysis, error pattern recognition, and automated fix suggestions. Use when debugging complex errors, analyzing stack traces, or performing root cause analysis. Triggers: 'debug', 'error analysis', 'stack trace', 'root cause', 'troubleshooting'."
grey-haven-incident-response
greyhaven-ai
"Handle production incidents with SRE best practices including detection, investigation, mitigation, recovery, and postmortems. Use when dealing with production outages, SEV1/SEV2 incidents, creating postmortems, or updating runbooks."
tmux × iTerm2 Integration
ShunsukeHayashi
Miyabi tmux マルチエージェント・オーケストレーションとiTerm2プロファイル統合。Agent別カラーテーマ、状態監視、自動プロファイル切り替えを提供。
tmux × iTerm2 Integration
ShunsukeHayashi
Miyabi tmux マルチエージェント・オーケストレーションとiTerm2プロファイル統合。Agent別カラーテーマ、状態監視、自動プロファイル切り替えを提供。
aws-cost-operations
leegonzales
This skill provides AWS cost optimization, monitoring, and operational best practices with integrated MCP servers for billing analysis, cost estimation, observability, and security assessment.
file-utils
ivanvza
File utility toolkit for searching, analyzing, and comparing files. Find files by pattern/size/date, count lines, get file statistics, and compare file contents. Use when working with file discovery, analysis, or comparison tasks.
slurm-gpu-training
dongzhuoyao
Use when running ML training on HPC clusters with Slurm, including job submission, environment setup, monitoring, and failure triage. Applies to any GPU training workload on Slurm-managed clusters. Triggers: "sbatch", "srun", "Slurm", "SBATCH", "job submission", "HPC", "cluster", "walltime", "squeue"
gpu-training-acceleration
dongzhuoyao
Use when optimizing PyTorch training speed or memory on CUDA GPUs — global flags, torch.compile, fused optimizers, mixed precision, gradient checkpointing, kernel fusion, memory layout, or latent-space training. Applies to any PyTorch training workload. Triggers: "torch.compile", "TF32", "fused optimizer", "mixed precision", "bf16", "fp16", "gradient checkpointing", "Triton kernel", "CUDA flags", "GPU slow", "GPU memory"
wandb-experiment-tracking
dongzhuoyao
Use when integrating W&B experiment tracking into ML training pipelines, including logging strategy, run configuration, and online/offline mode management. Triggers: "W&B", "wandb", "weights and biases", "experiment logging", "wandb.log", "wandb.init", "training dashboard"