监控
日志、指标与可观测性
problem-solver
tronghieu
Diagnose problems before solving them: turn "X is broken and we don't know why" into a precise problem statement, verified root causes, solutions traced to those causes, and a rollout plan. Use whenever the user reports something failing, breaking, slowing, or recurring without a known cause: "sales dropped and we don't know why", "this keeps happening", "why does X keep failing", "find the root cause", "run a post-mortem", "5 whys"; Vietnamese "sao cứ bị vậy hoài", "tìm nguyên nhân gốc", "X đang hỏng mà không rõ vì sao". Trigger even when the user asks for solutions directly: "give me ideas to fix falling sales" is a diagnosis request. Not for open-ended ideation when nothing is broken (brainstorm-coach), understanding user needs (design-thinking), or company-level strategic bets (strategy-board).
aws-collector-tool
xuiltul
AWS 인프라 정보 수집 도구. ECS 상태·CloudWatch 로그·메트릭스를 가져온다. Use when: ECS 상태 확인, CloudWatch 오류 로그 조사, 메트릭스 조회, AWS 리소스 모니터링이 필요할 때.
data-scientist
tronghieu
Act as an end-to-end data scientist: turn business questions into defensible analysis, validated models, and decision-ready reports. Use whenever the user asks to analyze, explore, or profile a dataset or CSV/Parquet/Excel file; asks what drives a metric or why a number changed ("why did churn go up?"); wants to test whether a difference is real (A/B tests, experiments, "is this significant?", "how many samples do I need?"); wants a predictive model (churn, forecast, scoring, segmentation, classification, regression); asks to review an existing analysis, notebook, or model for flaws; or needs results written up for decision-makers. Triggers in any language ("phân tích dữ liệu", "xây model dự đoán", "kiểm định A/B"), even when they never say "data science" or "statistics".
Analytics
omer-metin
Trackio - Experiment Tracking for ML Training
patchy631
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
logging-best-practices
neondatabase
Logging best practices focused on wide events (canonical log lines) for powerful debugging and analytics
stock_analysis
robinspt
Analyze A-share watchlist symbols, update daily K-line data, run monitor, and report status through the TickFlow Assist plugin.
tracing-upstream-lineage
astronomer
Trace upstream data lineage. Use when the user asks where data comes from, what feeds a table, upstream dependencies, data sources, or needs to understand data origins.
database-administrator
nahisaho
Copilot agent that assists with database operations, performance tuning, backup/recovery, monitoring, and high availability configuration Trigger terms: database administration, DBA, database tuning, performance tuning, backup recovery, high availability, database monitoring, query optimization, index optimization Use when: User requests involve database administrator tasks.
loki-logging
BagelHole
Configure Grafana Loki for log aggregation and analysis. Set up Promtail for log collection, write LogQL queries, and integrate with Grafana for visualization. Use when implementing lightweight log aggregation, especially in Kubernetes environments.
datadog
BagelHole
Implement Datadog monitoring and APM for infrastructure and applications. Configure agents, create dashboards, set up alerts, and implement distributed tracing. Use when implementing enterprise monitoring, APM, or unified observability platforms.
alerting-oncall
BagelHole
Set up alerting rules, configure on-call rotations, and manage incident response workflows. Integrate with PagerDuty, Opsgenie, or Grafana OnCall for alert routing and escalation. Use when implementing alerting strategies and on-call management for production systems.
elk-stack
BagelHole
Deploy and manage the ELK Stack (Elasticsearch, Logstash, Kibana) for log aggregation and analysis. Configure log pipelines, create visualizations, and implement log-based monitoring. Use when centralizing logs, implementing search functionality, or building log analytics platforms.
datadog-cli
softaworks
Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.
lesson-learned
softaworks
"Analyze recent code changes via git history and extract software engineering lessons. Use when the user asks 'what is the lesson here?', 'what can I learn from this?', 'engineering takeaway', 'what did I just learn?', 'reflect on this code', or wants to extract principles from recent work."
crash-debugging
conorluddy
Crash log analysis, symbolication, and debugging workflows for iOS apps. Use when investigating app crashes, analyzing crash reports, symbolicating stack traces, or identifying root causes. Covers crash log retrieval, symbolication with dSYM files, stack trace analysis, and common crash patterns.
pricing
whawkinsiv
"Use this skill when the user needs to set pricing, design pricing tiers, choose value metrics, or test price changes. Covers pricing psychology, tier design, anchoring, self-selection mechanisms, and monetization strategy for SaaS."
monitor
whawkinsiv
"Use this skill when the user needs to set up production monitoring, track app health, configure error alerts, or respond to incidents. Covers error tracking, uptime monitoring, performance metrics, and incident response for SaaS applications."
server-management
vudovn
Server management principles and decision-making. Process management, monitoring strategy, and scaling decisions. Teaches thinking, not commands.
log-analyzer
zrt-ai-lab
全维度日志分析技能。自动识别日志类型(Java应用/MySQL Binlog/Nginx/Trace/告警),提取关键实体(IP、thread_id、trace_id、用户、表名等),进行根因定位、告警分析、异常洞察。支持100M+大文件。触发词:分析日志、日志排查、根因定位、告警分析、异常分析。
aws-collector-tool
xuiltul
AWSインフラ情報収集ツール。ECS状態・CloudWatchログ・メトリクスを取得する。 Use when: ECS稼働確認、CloudWatchでエラーログ調査、メトリクス取得、AWSリソース監視が必要なとき。
product-architecture
yannickYamo
Structure what you're building and why now. Use when organizing products into capability blocks, creating bet backlogs, building roadmaps, or writing solution briefs. Part of the Modern Product Operating Model collection.
debug-tools
adeonir
Iterative debugging workflow with confidence scoring and strategic log injection. Five phases: investigate, inject logs, propose fix, verify, cleanup. Use when: debugging unexpected behavior, silent errors, intermittent failures, or issues requiring runtime data. Triggers on "debug", "fix bug", "investigate", "trace issue", "add debug logs", "cleanup debug logs".
astronomy-and-astrophysics-expert
sandraschi
Expert guidance across solar physics, planetary science, stellar evolution, cosmology, and observational techniques with 2025 mission data