Monitoring

Logging, metrics, and observability

Showing 337-360 of 1278 skills
secondsky

Bun Test Lifecycle

by secondsky

Use for test lifecycle hooks: beforeAll, afterAll, beforeEach, afterEach, fixtures, preload.

Monitoring 162 5mo ago
secondsky

Bun Shell

by secondsky

Bun shell scripting with Bun.$, Bun.spawn, subprocess management. Use for shell commands, template literals, or command execution.

CLI Tools 162 5mo ago
secondsky

Bun Hot Reloading

by secondsky

Use when implementing hot reloading with Bun (--hot, --watch), HMR, or automatic code reloading during development. Covers watch mode, hot mode, and HTTP server reload.

Monitoring 162 5mo ago
Soul-Brews-Studio

trace

by Soul-Brews-Studio

Find projects across git history, repos, docs, and Oracle. Use when user asks "trace", "find project", "where is [project]", "search history". Supports --oracle (fast), --smart (default), --deep (5 subagents). For session mining use /dig.

Database 70 3mo ago
TencentCloudBase

ai-model-nodejs

by TencentCloudBase

Use this skill when developing Node.js backend services or CloudBase cloud functions (Express/Koa/NestJS, serverless, backend APIs) that need AI capabilities. Features text generation (generateText), streaming (streamText), AND image generation (generateImage) via @cloudbase/node-sdk ≥3.16.0. Built-in models include Hunyuan (hunyuan-2.0-instruct-20251111 recommended), DeepSeek (deepseek-v3.2 recommended), and hunyuan-image for images. This is the ONLY SDK that supports image generation. NOT for browser/Web apps (use ai-model-web) or WeChat Mini Program (use ai-model-wechat).

Docker 61 4mo ago
marcus

td-task-management

by marcus

Task management for AI agents across context windows. Use when agents need to track work, log progress, hand off state, and maintain context across sessions. Includes workflows for single-issue focus, multi-issue work sessions, and structured handoffs. Essential for AI-assisted development where context windows reset between sessions.

Agents 220 5mo ago
mcouthon

makefile

by mcouthon

"Use when creating Makefiles for process lifecycle management with PID tracking, logging, and status monitoring. Triggers on: 'use makefile mode', 'makefile', 'create makefile', 'process management', 'background jobs', 'start/stop services'. Full access mode - can create/modify Makefiles."

Kubernetes 70 3mo ago
cosmix

grafana

by cosmix

Observability visualization with Grafana and LGTM stack. Dashboard design, panel configuration, alerting, variables/templating, and data sources. USE WHEN: Creating Grafana dashboards, configuring panels and visualizations, writing LogQL/TraceQL queries, setting up Grafana data sources, configuring dashboard variables and templates, building Grafana alerts. DO NOT USE: For writing PromQL queries (use /prometheus), for alerting rule strategy (use /prometheus), for general observability architecture (use senior-software-engineer with infrastructure focus). TRIGGERS: grafana, dashboard, panel, visualization, logql, traceql, loki, tempo, mimir, data source, annotation, variable, template, row, stat, graph, table, heatmap, gauge, bar chart, pie chart, time series, logs panel, traces panel, LGTM stack.

Analytics 50 3mo ago
cosmix

model-evaluation

by cosmix

Evaluates machine learning models for performance, fairness, and reliability using appropriate metrics and validation techniques. Covers training debugging, hyperparameter tuning, and production monitoring. Trigger keywords: model evaluation, metrics, accuracy, precision, recall, F1, F1-score, ROC, AUC, ROC-AUC, confusion matrix, cross-validation, k-fold, stratified, overfitting, underfitting, bias, variance, bias-variance tradeoff, hyperparameter, hyperparameter tuning, loss, loss function, metric, benchmark, benchmarking, model performance, classification metrics, regression metrics, RMSE, MSE, MAE, MAPE, R2, R-squared, train-test split, validation set, test set, hold-out, learning curve, validation curve, model selection, error analysis, residual analysis, ML testing, training issues, convergence, gradient, vanishing gradient, exploding gradient, training instability, LLM evaluation, language model evaluation, prompt engineering evaluation, A/B testing, champion-challenger, model monitoring, model drift, data drift, concept drift, model decay.

ML Ops 50 4mo ago
whawkinsiv

pricing

by 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."

API Dev 219 3mo ago
getsentry

sentry-cli

by getsentry

Guide for using the Sentry CLI to interact with Sentry from the command line. Use when the user asks about viewing issues, events, projects, organizations, making API calls, or authenticating with Sentry via CLI.

CLI Tools 83 3mo ago
openharmonyinsight

add-memory-trace-tags

by openharmonyinsight

Use when adding new resource tracking types to memory profiling in developtools_profiler and third_party_musl repositories. Triggered by requests to add trace tags, resource labels, or memory tracking types.

Debugging 25 3mo ago
aAAaqwq

datadog-automation

by aAAaqwq

"Automate Datadog tasks via Rube MCP (Composio): query metrics, search logs, manage monitors/dashboards, create events and downtimes. Always search tools first for current schemas."

Analytics 64 3mo ago
bobmatnyc

Root Cause Tracing

by bobmatnyc

Systematically trace bugs backward through call stack to find original trigger

Debugging 49 6mo ago
bobmatnyc

golang-observability-opentelemetry

by bobmatnyc

"Instrumenting Go applications with OpenTelemetry for distributed tracing, Prometheus for metrics, and structured logging with slog"

API Dev 49 5mo ago
ZhangHanDong

makepad-splash

by ZhangHanDong

CRITICAL: Use for Makepad Splash scripting language. Triggers on: splash language, makepad script, makepad scripting, script!, cx.eval, makepad dynamic, makepad AI, splash 语言, makepad 脚本

API Dev 738 4mo ago
knoopx

ast-grep

by knoopx

Searches code by AST patterns and performs structural refactoring across files. Use when finding function calls, replacing code patterns, or refactoring syntax that regex cannot reliably match.

CLI Tools 57 3mo ago
knoopx

jujutsu

by knoopx

Manages version control with Jujutsu (jj), including rebasing, conflict resolution, and Git interop. Use when tracking changes, navigating history, squashing/splitting commits, or pushing to Git remotes.

Code Gen 57 3mo ago
yuchuangu85

AOSP Source Analysis Expert

by yuchuangu85

执行系统级 Android AOSP 源码分析,覆盖 Framework / Native / AMS / WMS / PMS / Handler / Surface / SurfaceControl / SystemUI / Launcher / WindowManager / SurfaceFlinger / Input / Binder / HAL / Animation / Graphics / Power / Storage / Security / Telephony / Media / Camera / Sensor / Location / Wi-Fi / Bluetooth / NFC / USB / Display / Power / System ,用于定位行为根因、构建调用链、还原系统时序,并输出可验证、可追溯的源码与运行时证据。

CLI Tools 722 3mo ago
Quriosity-agent

videocut-self-evolve

by Quriosity-agent

Self-evolving skills. Record user feedback, update methodology and rules. Triggers: update rules, record feedback, improve skill, 更新规则, 记录反馈, 改进skill

Code Gen 28 3mo ago
sundial-org

ab-test-setup

by sundial-org

When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see analytics-tracking.

Monitoring 607 4mo ago
manojbajaj95

ab-test-setup

by manojbajaj95

When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see analytics-tracking.

Monitoring 56 3mo ago
0xDarkMatter

python-observability-patterns

by 0xDarkMatter

"Observability patterns for Python applications. Triggers on: logging, metrics, tracing, opentelemetry, prometheus, observability, monitoring, structlog, correlation id."

API Dev 20 5mo ago
terrylica

mlflow-python

by terrylica

MLflow experiment tracking via Python API. TRIGGERS - MLflow metrics, log backtest, experiment tracking, search runs.

CLI Tools 49 4mo ago