监控
日志、指标与可观测性
python-integrations-resilience
ahgraber
Use when building or reviewing external API integrations in Python — designing client boundaries, defining outbound reliability policy, or structuring contract tests. Also use when provider SDK details leak into domain logic, outbound calls lack timeout/retry policy, or failure paths are untested.
coding-violation-log
exception-coder
"当用户纠正 AI 的编码规范、分层、命名或依赖方向错误时使用；项目存在 coding-violations.md 时，也用于编码前回顾既有违规记录。"
questdb
questdb
Use this skill whenever working with QuestDB — a high-performance time-series database. Trigger on any mention of QuestDB, time-series SQL with SAMPLE BY, LATEST ON, ASOF JOIN, ILP ingestion, or the questdb Python/Go/Java/Rust/.NET client libraries. Also trigger when writing Grafana queries against QuestDB, creating materialized views for time-series rollups, working with order book or financial market data in QuestDB, or any SQL that involves designated timestamps or time-partitioned tables. QuestDB extends SQL with unique time-series keywords — standard PostgreSQL or MySQL patterns will fail. Always read this skill before writing QuestDB SQL to avoid hallucinating incorrect syntax.
javascript-fundamentals
manutej
Core JavaScript language features, patterns, and best practices including ES6+ syntax, async/await, closures, prototypes, and modern development patterns
training-honest-models
omar320250068-prog
Trains a first model the honest way — method chosen to fit the question, compared against the baseline on the same split and metric, errors read before scores are believed. Use when moving from a rule baseline to a learned model, or when reviewing a model that reports only a single score.
observability-monitoring
manutej
Comprehensive observability and monitoring skill covering Prometheus, Grafana, metrics collection, alerting, exporters, PromQL, and production monitoring patterns for distributed systems and cloud-native applications
mlops-workflows
manutej
Comprehensive MLOps workflows for the complete ML lifecycle - experiment tracking, model registry, deployment patterns, monitoring, A/B testing, and production best practices with MLflow
nodejs-development
manutej
Comprehensive Node.js development skill covering event loop, async patterns, streams, file system, HTTP servers, process management, and modern Node.js best practices
observability
srstomp
Use when adding logging to services, setting up monitoring, creating alerts, debugging production issues, designing SLIs/SLOs, or implementing structured logging (Pino, Winston), metrics (Prometheus, DataDog, CloudWatch), or distributed tracing (OpenTelemetry).
altinity-expert-clickhouse-logs
Altinity
Analyze ClickHouse system log table health including TTL configuration, disk usage, freshness, and cleanup. Use for system log issues and TTL configuration.
altinity-expert-clickhouse-part-log
Altinity
Diagnose ClickHouse issues by analyzing system.part_log (part creation, merges, mutations, downloads, removals, moves). Use for too many parts / micro-batch inserts, merge backlog or slow merges, mutation storms (ALTER DELETE/UPDATE), unusual replication DownloadPart churn, unexpected RemovePart spikes, or ZooKeeper/Keeper znode growth correlated with part activity.
swift-navigation
nonameplum
A collection of tools for making navigation in Swift applications more ergonomic and powerful across SwiftUI, UIKit, and AppKit
debug-master
YuniorGlez
"Senior Site Reliability Engineer & Debug Architect. Expert in AI-assisted observability, distributed tracing, and autonomous incident remediation in 2026."
Observability & Monitoring
ArieGoldkin
Structured logging, metrics, distributed tracing, and alerting strategies
checkpoint-workflow-builder
jackspace
Build resumable state-machine workflows with checkpoint patterns, progress preservation, and automatic recovery for complex multi-phase operations that need to survive interruptions, timeouts, and failures.
marketplace-liquidity
liqiongyu
"Diagnose and improve marketplace liquidity (match rate/fill rate, time-to-match, reliability) by segment. Produces a Marketplace Liquidity Management Pack: liquidity definition + metric tree, fragmentation map, segment scorecard, supply/demand bottleneck diagnosis, experiment backlog, measurement plan, and operating cadence. Use for Growth teams running two-sided marketplaces."
building-a-promotion-case
liqiongyu
"Build a promotion case and produce a Promotion Case Pack (target role + timeline, ladder mapping, evidence log, impact narrative, manager alignment plan, sponsor/visibility map, submission-ready promo doc). Use for promotion packet, getting promoted, leveling up, career ladder, promotion committee. Category: Career."
cross-functional-collaboration
liqiongyu
"Lead cross-functional collaboration by producing a Cross-Functional Collaboration Pack (mission charter, stakeholder/incentives map, roles & expectations contract, operating cadence, decision log, conflict + credit norms). Use for cross-functional collaboration, working with engineering, working with design, reducing execution friction."
evaluating-candidates
liqiongyu
"Make an evidence-based hiring decision and produce a Candidate Evaluation Decision Pack (criteria + scorecard, signal log, work sample/trial plan + rubric, reference check script + summary, decision memo). Use for candidate evaluation, hiring decisions, reference checks, work samples/take-homes, and hiring bar calibration. Category: Hiring & Teams."
career-transitions
liqiongyu
"Plan and execute a career transition and produce a Career Transition Pack (progress metric + push/pull map, target archetypes, option scorecard, opportunity pipeline + outreach scripts, skills plan, 4–12 week experiment plan). Use for career change, career pivot, career transition, switching roles. Category: Career."
error-diagnostics-error-trace
liuchiawei
"You are an error tracking and observability expert specializing in implementing comprehensive error monitoring solutions. Set up error tracking systems, configure alerts, implement structured logging,"
chronicle-protocol-v5-log
starwreckntx
Log events using Chronicle Protocol v5 structured format.
datadog-observability
ethanrcohen
Search, aggregate, and analyze Datadog logs, metrics, and APM data using pup (Datadog's official CLI). Use when debugging production issues, investigating errors, triaging incidents, checking service health, querying metrics, or when the user mentions Datadog, logs, metrics, APM, or error investigation. Triggers on requests involving log analysis, metric queries, service debugging, error counts, or production monitoring.
finance-engineer
violetio
Financial systems and cost engineering