
Claude Skills by agentskillexchange
github.com/agentskillexchangeTests Prometheus alerting rules against historical metrics using promtool and the Prometheus HTTP API query_range endpoint. Validates PromQL expressions, simulates alert firing, and checks routing configurations.
Automates incident response for Prometheus alerts using PromQL queries, Alertmanager API, and Grafana dashboards. Maps alerts to diagnostic runbooks with remediation steps.
Links Prometheus alerting rules to operational runbooks by parsing AlertManager configurations and PrometheusRule CRDs. Validates runbook_url annotations exist and are reachable, and generates stub runbooks for undocumented alerts.
Execute structured runbook procedures triggered by Prometheus AlertManager webhooks. Queries PromQL metrics via the Prometheus HTTP API for automated incident diagnosis and escalation.
Tunes Prometheus alerting rules using the Prometheus HTTP API and PromQL query analysis. Reduces alert fatigue by analyzing firing history, adjusting thresholds via histogram_quantile, and configuring inhibition rules.
Use the upstream install or setup path that matches your environment: - Docker images are available on [Quay.io](https://quay.io/repository/prometheus/prometheus) or [Docker Hub](https://hub.docker.com/r/prom/prometheus/). - docker run --name prometheus -d -p 127.0.0.1:9090:9090 prom/prometheus - git clone https://github.com/prometheus/prometheus.git - go install github.com/prometheus/prometheus/cmd/...
Bridges Prometheus Alertmanager notifications to Microsoft Teams, Discord, and Telegram using adaptive card templates and PromQL-based alert correlation.
Connects to Prometheus AlertManager API to query active alerts, silences, and alert groups. Parses PromQL alert rules and suggests runbook actions. Integrates with PagerDuty escalation policies.
Generates Prometheus AlertManager configurations with routing trees, inhibition rules, and receiver integrations for PagerDuty, Slack, and OpsGenie APIs. Supports template-based notification customization.
Configures and manages Prometheus AlertManager routing trees and silences via the AlertManager HTTP API. Supports PagerDuty, OpsGenie, and Slack receiver configuration with inhibition rules.
Validates Prometheus recording and alerting rules using promtool check rules, analyzes Alertmanager routing trees for notification gaps, and tests alert expressions against live TSDB data via the Prometheus HTTP API.
Tests Terraform modules using Terratest Go library and terraform test native framework. Validates plan output, applies infrastructure in ephemeral environments, and asserts resource attributes with automatic cleanup.
Analyzes Terraform plan output using the terraform show -json command and HCL2 parser library. Detects destructive changes, cost implications via Infracost API, and policy violations against Open Policy Agent (OPA) rules.
Runs terraform plan against changed modules, posts a structured diff as a PR comment via GitHub API, and gates terraform apply on reviewer approval. Supports S3 and GCS remote state backends with automatic workspace detection. Integrates with AWS STS and GCP Workload Identity for short-lived credential injection.
Parses Terraform plan JSON output to summarize resource changes, detect destructive actions, and flag policy violations. Uses the terraform show -json command and the Terraform Cloud API to retrieve plan artifacts. Integrates with OPA (Open Policy Agent) for policy-as-code enforcement on planned changes.
Parses terraform plan JSON output to identify destructive changes, security group modifications, and IAM policy drift. Uses the Terraform Cloud API for workspace state comparison.
Parses Terraform plan JSON output from terraform show -json and the hashicorp/terraform-exec Go SDK. Identifies destructive changes, cost implications via Infracost API, and generates approval summaries.
Parses terraform plan -json output and queries the Terraform Cloud API /runs endpoint to review infrastructure changes. Detects destructive operations, estimates cost impact via Infracost API, and validates against OPA policies.
Validates Terraform plans using terraform CLI, tfsec, and Checkov. Detects infrastructure misconfigurations, cost anomalies, and compliance violations before apply.
Parses terraform plan JSON output via the Terraform CLI (terraform show -json) to validate infrastructure changes before apply. Detects destructive operations, cost estimate impacts via Infracost API, and drift from desired state.
Explores HashiCorp Terraform provider schemas using terraform providers schema -json output. Maps resource attributes, computed fields, and cross-resource dependency references for HCL generation.
Diagnoses Terraform state issues using terraform state commands, the Terraform Cloud API, and HCL parser. Detects drift, orphaned resources, and state lock conflicts across workspaces.
Detects infrastructure drift by running terraform plan -detailed-exitcode and parsing the JSON output via terraform show -json. Categorizes drift by resource type and generates targeted terraform apply plans for reconciliation.
Analyzes Terraform state files and plan outputs to detect drift, orphaned resources, and dependency cycles. Uses the Terraform CLI state commands, tfsec for security scanning, and Infracost API for cost impact analysis.
Inspects and diagnoses Terraform state files using terraform CLI commands and the Terraform Cloud API v2. Detects drift, orphaned resources, and dependency cycles in state data.
Performs safe Terraform state operations using the terraform CLI state subcommands and the Terraform Cloud API. Handles state imports, resource moves, and taint operations with automatic backup and rollback.
No source-backed install or usage instructions could be extracted automatically. Review the upstream project before running this skill in a sensitive workflow.
Extracts structured data from scanned documents using Tesseract OCR engine with LSTM models. Supports table detection via OpenCV contour analysis and outputs to CSV, JSON, or Pandas DataFrames.
Extracts structured text from scanned documents and images using Tesseract OCR with custom LSTM training data. Supports table detection via OpenCV contour analysis and PDF/A output generation.
Tesseract OCR is a widely used open source optical character recognition engine with command line and library interfaces. It can extract text from images and scanned documents, supports more than 100 languages, and outputs plain text, hOCR, TSV, and PDF variants.
Run an agent-native browser QA loop that reads recent code changes, generates a test plan, and returns concrete failures for the coding agent to fix.
Run staged evaluations against a Claude Code plugin to verify that skills, agents, commands, hooks, and MCP components trigger when they should.
Run a repeatable docs-site check that builds locally, opens the site across device sizes, and reports layout, accessibility, and interaction issues.
TestCafe is a Node.js-based end-to-end browser testing framework by DevExpress that requires no WebDriver installation. It supports all major browsers, automatic waiting, live mode for rapid development, and both JavaScript and TypeScript test authoring.
Testcontainers for Node.js is a library that provides lightweight, throwaway instances of databases, message brokers, browsers, and other services as Docker containers for integration testing. It automates container lifecycle management during test runs, ensuring clean and reproducible test environments.
Lint natural language text with textlint, the pluggable linting framework inspired by ESLint. Install community rules from npm to enforce writing standards, catch grammar issues, and maintain consistent documentation style across your project.
textstat is a Python package that calculates readability statistics for text content, including Flesch Reading Ease, Gunning Fog Index, SMOG Index, Coleman-Liau Index, and Dale-Chall score. It provides quantitative readability metrics that content writers and SEO professionals use to optimize content for target audiences.
Textual is a lean application framework for Python that lets you build sophisticated terminal user interfaces with a simple API. Apps built with Textual run in the terminal and can also be served in a web browser, making it ideal for dashboards, data explorers, and developer tools.
theHarvester is an open-source OSINT tool for gathering emails, subdomains, hosts, employee names, open ports, and banners from public sources. Used during reconnaissance in penetration testing and red team assessments, it queries search engines, PGP key servers, the Shodan API, and other data sources to map an organization's external threat surface.
An agent skill that leverages Thumbor, the open-source smart image processing service by Globo.com, to perform on-demand image cropping, resizing, and filtering with intelligent face and feature detection. Enables automated image optimization pipelines for web applications and content delivery workflows.
Timewarrior is a command-line time tracking tool from the Taskwarrior project. It records time intervals with tags, generates flexible reports, and integrates with Taskwarrior for automatic time tracking of tasks. Data is stored as plain text files with no database required.
TinaCMS is a fully open-source headless CMS backed by Git that supports Markdown, MDX, JSON, and YAML content. It provides a GraphQL API for querying content, real-time visual editing for non-technical users, and seamless integration with static site generators and Next.js.
Tiptap is a headless, framework-agnostic rich text editor built on ProseMirror. It provides a fully customizable editing experience through 100+ extensions, supporting React, Vue, and plain JavaScript with no preset UI constraints.
tldraw is a feature-complete infinite canvas engine and whiteboard SDK for React. It provides drawing, diagramming, real-time multiplayer collaboration, and AI integrations out of the box, with full extensibility for custom shapes, tools, and UI components.
Analyzes TLS certificate chains using OpenSSL s_client and the crt.sh Certificate Transparency API. Detects weak algorithms, expiring intermediates, and CT log compliance issues.
Validates TLS/SSL certificate chains using OpenSSL x509 verification and checks OCSP stapling status. Integrates with Let's Encrypt ACME protocol for automated certificate renewal alerts and CT log monitoring via crt.sh API.
Implements Getting Things Done methodology on Todoist using the Todoist Sync API v9. Automates inbox processing, context labeling, weekly reviews, and project-to-next-action extraction with natural language parsing.
Implements Getting Things Done methodology on Todoist using the Sync API v9. Automates weekly reviews, context tagging, and project decomposition into next actions.
Parses natural language task descriptions into structured Todoist API v2 task objects with due dates, priority levels, and project assignments. Uses the Todoist Sync API for batch task creation and supports recurring date patterns via the RRule specification.
Automates Todoist project management using the Todoist REST API v2 and Sync API. Creates task templates, manages recurring workflows, and syncs with external project trackers.