Monitoring
Logging, metrics, and observability
arcgis-knowledge-graphs
by SaschaBrunnerCH
Work with ArcGIS Knowledge graphs for storing and querying connected data. Use for graph databases, relationship visualization, and openCypher queries.
sentry-setup-metrics
by getsentry
Setup Sentry Metrics in any project. Use when asked to add custom metrics, track counters/gauges/distributions, or instrument application performance. Supports JavaScript, Python, and Ruby.
arcgis-core-utilities
by SaschaBrunnerCH
Core utilities including Accessor pattern, Collection, reactiveUtils, promiseUtils, intl (internationalization), and workers. Use for reactive programming, property watching, locale formatting, async operations, and background processing.
arcgis-rest-services
by SaschaBrunnerCH
REST service wrappers for routing, geocoding, printing, places, geoprocessing, and other server-side operations in ArcGIS Maps SDK for JavaScript
arcgis-imagery
by SaschaBrunnerCH
Work with raster and imagery data including ImageryLayer, ImageryTileLayer, multidimensional data, pixel filtering, and raster analysis. Use for satellite imagery, elevation data, and scientific raster datasets.
slidev-monaco-editor
by yoanbernabeu
Add live coding with Monaco Editor in Slidev. Use this skill for interactive code demos, executable code, and real-time editing.
flare
by spatie
Manage Flare error tracking and performance monitoring using the flare CLI. Use when the user wants to list, triage, resolve, snooze, or debug errors; manage projects; create projects and retrieve API keys; check error counts; investigate slow routes, queries, jobs, or commands; view aggregated performance data and traces; or interact with flareapp.io from the command line.
observability
by OmniNode-ai
Unified agent observability — action logging, tracking, execution logging, and trace correlation
update-study
by iamseungpil
This skill should be used when the user asks to "update study", "analyze new experiments", "update experiment document", or "refresh study notes". Produces academic-paper-quality experiment reports with matplotlib plots, executive summary with comparison tables, implementation structure, experimental results with figure interpretation, proposed improvements with code examples, hypotheses, limitations, and LaTeX PDF export with figures. Features incremental detection (only analyze NEW experiments), data extraction to DataFrame, automated plot generation, iterative writing improvement loop with quality criteria, zero-hallucination verification, and LaTeX PDF export. Usage - /update-study logs/experiment.log study.md or /update-study "logs/exp1.log logs/exp2.log" results/ablation_study.md
investigate
by d-kimuson
問題の原因調査・切り分けを行うときに有効化
release-manager
by daffy0208
Ship features safely with progressive rollouts, feature flags, and canary deployments. Use when deploying risky features or need gradual rollouts.
growth-experimenter
by daffy0208
Run systematic growth experiments to increase acquisition, activation, retention, and revenue. Use when optimizing conversion funnels, running A/B tests, improving metrics, or when users mention growth, experimentation, optimization, or scaling user acquisition.
Figma Developer
by 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
by 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.
product-analyst
by daffy0208
Track user metrics and provide data-driven insights for product decisions. Use when measuring product health, analyzing user behavior, conducting cohort analysis, or optimizing key metrics. Covers acquisition, engagement, retention, revenue metrics, and data-driven decision making.
product-analytics
by daffy0208
Measure what matters with proper event tracking, funnels, cohorts, and metrics. Use when setting up analytics, tracking features, or understanding behavior.
dont-be-greedy
by ElliotJLT
When a user uploads or references a data file (CSV, JSON, XLSX, TXT, LOG) or any file larger than 100KB, immediately estimate token cost using scripts/estimate_size.py. If >30k tokens, chunk the file and summarize each chunk. If smaller, run quick inspection. Return a safe preview and summary without asking the user what to do.
trace-it
by ElliotJLT
Before modifying shared code (utilities, types, configs, base classes), traces all callers and dependents first. Activates when editing files in shared/, utils/, lib/, or anything imported by 3+ files. Prevents "fixed one thing, broke three others."
loose-ends
by ElliotJLT
Before declaring work complete, checks for loose ends: unused imports, TODO comments created, missing tests, stale references, incomplete error handling. Activates after implementing features or fixes. The cleanup that always gets skipped.
healthcare-audit-logger
by 1Mangesh1
This skill should be used when the user asks to "generate audit logs", "create HIPAA audit trail", "log healthcare events", "configure audit logging", "track PHI access", "maintain compliance logs", "audit log format", "healthcare event logging", "access control logging", "authentication logging", "HIPAA logging requirements", or mentions HIPAA audit trails, healthcare event logging, compliance logging, PHI access tracking, authentication auditing, or §164.312(b) logging requirements.
agent-telemetry
by petekp
Make application behavior visible to coding agents by exposing structured logs and telemetry. Use when asked to "add telemetry", "make logs accessible to agents", "add observability", "debug with logs", or when an agent needs to understand runtime behavior but has no way to query logs. Also use when debugging is difficult because there are no structured logs, when agent docs (CLAUDE.md, AGENTS.md) lack instructions for querying application logs, or when setting up logging infrastructure for a new or existing web application.
pluggy-payments
by pluggyai
Payment initiation with PIX, Boleto, and Smart Transfers. Use when implementing payment flows, PIX transfers, or preauthorized payments.
observable-gepa-migration
by raveeshbhalla
Migrate DSPy GEPA usage in DSPy from the original to gepa-observable. This makes it possible for teams to clearly review each iteration and the lineage to understand how their prompt is evolving. The repository offers a web dashboard for monitoring, but requires a custom GEPA fork that provides custom observers and LM call logging. Use when developers want to add observability to GEPA optimization.
unit-economics
by mfwarren
Production-ready entrepreneurship skills for Claude Code — marketing, sales, operations, finance, and leadership. 24 skills built by a founder, for founders.