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Generate PromQL queries for calculating error rates, aggregating metrics across labels, creating histogram percentiles, writing recording rules, and building SLO burn-rate alerts following Prometheus best practices. Use when creating new PromQL queries, implementing monitoring and alerting rules, building observability dashboards, working with Prometheus metrics (counters, gauges, histograms, summaries), or applying RED (Rate, Errors, Duration) and USE (Utilization, Saturation, Errors) monitoring patterns.

Comprehensive toolkit for validating, optimizing, and understanding Prometheus Query Language (PromQL) queries. Use this skill when working with PromQL queries, prometheus queries, metrics queries, alerting rules, recording rules, or grafana dashboards to check syntax, detect anti-patterns, identify optimization opportunities, and interactively plan queries with users.

Validates, lints, and security-scans Azure DevOps Pipeline configurations (azure-pipelines.yml / azure-pipelines.yaml). Use when working with ADO pipelines, YAML pipeline files, or CI/CD configurations in Azure DevOps — including validating YAML syntax and schema, detecting hardcoded secrets or credentials, checking for deprecated or unpinned task versions, enforcing best practices (caching, timeouts, display names), performing pipeline security audits, or reviewing azure-pipelines.yml before merging. Trigger terms: azure-pipelines.yml, ADO pipeline, Azure Pipelines, YAML pipeline, CI/CD validation, pipeline security scan, DevOps configuration review.

Generates, validates, and optimizes Fluent Bit configurations for production use. Use when creating new Fluent Bit configs, implementing log collection pipelines (INPUT, FILTER, OUTPUT sections), configuring Kubernetes log collection with metadata enrichment, forwarding logs to destinations (Elasticsearch, Loki, S3, Kafka, CloudWatch, OpenTelemetry), building multi-line log parsing, or converting existing logging configurations to Fluent Bit.

Validates syntax, checks pipeline tag connections, detects security misconfigurations, audits best practices, and performs dry-run testing for Fluent Bit configurations. Use this skill when working with Fluent Bit config files, validating syntax, checking for best practices, identifying security issues, performing dry-run testing, or troubleshooting configuration-related errors.

Comprehensive toolkit for validating, linting, and testing GitHub Actions workflow files, custom local actions, and public actions. Use this skill when working with GitHub Actions YAML files (.github/workflows/*.yml), validating workflow syntax, testing workflow execution with act, or debugging workflow issues.

Creates .gitlab-ci.yml files, configures pipeline stages, defines CI jobs and runners, sets up deployment workflows, and generates reusable GitLab CI/CD templates following current best practices and security standards. Use when users ask to create or build a GitLab CI/CD pipeline, CI config, build pipeline, deploy pipeline, GitLab YAML, CI jobs, or any .gitlab-ci.yml configuration from scratch or for a new project.

Validates .gitlab-ci.yml syntax, detects security misconfigurations in job definitions, checks for deprecated keywords, ensures proper stage ordering, and audits pipeline configurations for best practices. Use when working with .gitlab-ci.yml files, validating GitLab CI/CD pipeline syntax, debugging configuration errors, checking for hardcoded secrets or credentials in pipeline jobs, optimizing pipeline performance with DAG or cache, or performing security audits on GitLab CI/CD configurations.

Comprehensive toolkit for validating, linting, testing, and analyzing Helm charts and their rendered Kubernetes resources. Use this skill when working with Helm charts, validating templates, debugging chart issues, working with Custom Resource Definitions (CRDs) that require documentation lookup, or checking Helm best practices.

Generates Jenkinsfiles with stages, agents, parallel builds, post-build actions, and security scanning for Declarative and Scripted pipeline syntaxes. Use when creating a Jenkins pipeline script, Groovy pipeline, or build configuration; implementing CI/CD workflows, continuous integration, or build automation; adding Docker/Kubernetes deployments, matrix builds, parameterized pipelines, or DevSecOps security scanning to a Jenkins setup.

Comprehensive toolkit for validating, linting, testing, and automating Jenkinsfile pipelines (both Declarative and Scripted). Use this skill when working with Jenkins pipeline files, validating pipeline syntax, checking best practices, debugging pipeline issues, or working with custom plugins.

Generates, validates, and refactors production-ready Ansible playbooks, roles, task files, and inventory configurations following current best practices. Use when the user asks to create, build, or generate Ansible automation, YAML playbooks, infrastructure as code, configuration management files, DevOps roles, or .yml files for Ansible — including requests like "create a playbook to...", "build a role for...", "generate an inventory for...", or "set up Ansible to automate...". Automatically validates all output using the devops-skills:ansible-validator skill.

Comprehensive toolkit for validating, linting, testing, and automating Ansible playbooks, roles, and collections. Use this skill when working with Ansible files (.yml, .yaml playbooks, roles, inventories), validating automation code, debugging playbook execution, performing dry-run testing with check mode, or working with custom modules and collections.

Generates production-ready Dockerfiles with multi-stage builds, layer caching, security hardening (non-root users, minimal base images), health checks, and automatic .dockerignore creation. Validates output using devops-skills:dockerfile-validator with iterative error fixing. Use when a user wants to create, generate, write, or build a Dockerfile or docker image, containerize an app, set up a container, or needs a Dockerfile for Node.js, Python, Go, Java, or another language. Also applies when the user says 'containerize my app', 'docker-compose setup', 'container setup', or 'optimize my Docker build'.

Validates, lints, and secures Dockerfiles by running syntax checking, detecting security vulnerabilities, validating layer ordering, checking for hardcoded secrets, verifying base image tags, and analyzing build optimization. Use when validating Dockerfile syntax, checking security best practices, optimizing image builds, auditing container security, or debugging Dockerfile errors. Applies to all Dockerfile variants (Dockerfile, Dockerfile.prod, Dockerfile.dev, etc.).

Generate Terraform modules, configure providers, define variables and outputs, set up remote state backends, and write production-ready HCL (.tf files) following current standards. Use when creating new Terraform resources, building Terraform projects, writing infrastructure as code (IaC), scaffolding AWS/Azure/GCP cloud infrastructure, working with terraform plan/apply workflows, or structuring multi-environment configurations.

Comprehensive toolkit for validating, linting, testing, and automating Terraform configurations and HCL files. Use this skill when working with Terraform files (.tf, .tfvars), validating infrastructure-as-code, debugging Terraform configurations, performing dry-run testing with terraform plan, or working with custom providers and modules.

Comprehensive toolkit for generating best-practice Terragrunt configurations (HCL files) following current standards and conventions. Generates terragrunt.hcl files, root configurations, child modules, stacks, and environment setups; configures remote state backends, dependency blocks, include blocks, feature flags, exclude blocks, and errors blocks; supports DRY Terraform patterns, multi-environment layouts (dev/staging/prod), and OpenTofu engine integration. Use when creating new Terragrunt projects or resources, scaffolding multi-environment infrastructure, implementing DRY Terraform wrapper configurations, setting up terragrunt.hcl files with remote state or provider config, managing module dependencies, or building infrastructure modules with Terragrunt stacks.

Comprehensive toolkit for validating, linting, testing, and automating Terragrunt configurations, HCL files, and Stacks. Use this skill when working with Terragrunt files (.hcl, terragrunt.hcl, terragrunt.stack.hcl), validating infrastructure-as-code, debugging Terragrunt configurations, performing dry-run testing with terragrunt plan, working with Terragrunt Stacks, or working with custom providers and modules.

Create structured journal entries with YAML frontmatter, template-based sections, and compliance validation. Use when user asks to 'create journal entry', 'new journal', 'document [topic]', 'journal about [topic]', or needs to create timestamped .md files in YYYY/MM/ directories. Supports five entry types: general journal entries, troubleshooting sessions, learning notes, article summaries, and ticket-refinement sessions. Keywords: journal, documentation, troubleshooting, learning, article-summary, ticket-refinement, refine ticket, YAML frontmatter, template schemas, validation.

Evaluate, score, and remediate agent skill collections using a 9-dimension quality framework (Knowledge Delta, Mindset, Anti-Patterns, Specification Compliance, Progressive Disclosure, Freedom Calibration, Pattern Recognition, Practical Usability, Eval Validation). Performs duplication detection, generates remediation plans with T-shirt sizing, enforces CI quality gates, validates artifact conventions, tracks score trends, and ensures tessl registry compliance. Use when evaluating skill quality, auditing SKILL.md files, scoring agent skills, generating remediation plans, detecting duplicate skills, validating skill format, enforcing quality gates, optimizing for A-grade publication, comparing audit baselines, batch skill assessments, or checking tessl compliance. Triggers: 'check my skills', 'skill audit', 'improve my SKILL.md', 'quality check', 'A-grade scoring', 'quality gates', 'eval validation', 'audit all skills', 'remediation plan', 'skill judge', 'dimension scoring'.

Creates, lists, and supersedes Architecture Decision Records with the adr CLI, following the house ADR template. Use when recording an architectural decision, writing an ADR, documenting a technical choice, superseding a prior decision, numbering a new decision record, bootstrapping an ADR log under docs/adr.

Create OpenCode plugins using the opencode-ai/plugin SDK. Use when user wants to build a plugin, extend OpenCode, intercept tool execution, add custom tools, react to events, create a hook, block commands, add custom auth, or add automation to OpenCode. Also use for 'opencode plugin', 'custom tool', 'tool hook', 'plugin hook', 'logging for all tool calls', 'restrict what commands the AI can run', 'lifecycle hooks', 'middleware', 'tool.execute.before', 'tool.execute.after', 'auth hook', 'chat.params', 'intercept bash commands', 'block file writes', 'add audit logging', 'custom model provider auth', 'inject context before LLM call', 'fire-and-forget background task', 'watch session events'.

Create and refine OpenCode agents via guided Q&A. Use when creating an agent file, improving an existing agent, configuring AGENTS.md frontmatter, setting subagent_type, defining allowed-tools, restricting permissions, designing agent routing, writing a system prompt, configuring mode: subagent, setting a permission block, or working with the Task tool delegation pattern. Examples: 'Create an agent for code reviews', 'My agent ignores context', 'Add a database expert subagent', 'Make my agent faster', 'Agent triggers on wrong requests'.

Create custom /slash commands for repetitive tasks in OpenCode. Use when user wants to create a command, automate a workflow, make a shortcut, add a slash command, set up automation, create a /test, /review, /deploy, /commit, /fix, /build, /lint, /spellcheck, /migrate, or /ci command. Also use when writing a command file, configuring command frontmatter, using $ARGUMENTS placeholders, setting agent: plan, using subtask: true, injecting shell output with !cmd, referencing files with the at-file syntax in a command template, or choosing between a slash command, agent, and skill.

Ensure Tessl plugins meet all requirements for public registry publication with comprehensive validation. Use when publishing skills to public registry, validating .tessl-plugin/plugin.json configuration, creating evaluation scenarios, checking quality thresholds (A-grade >=108/120), or preparing plugins for release. Validates eval scenario coverage, plugin.json fields (name, version, private, description, skills), agent-agnostic compliance, and publication readiness.

Author high-quality Markdown documentation with deterministic structure, lint compliance, and CI integration. Use when writing README files, creating docs pages, fixing markdownlint failures, defining style rules, or wiring markdown checks into pre-commit and pipelines. Keywords: markdown, markdownlint, readme, docs, headings, lists, code fences, links, images, lint config, ci, documentation style.

Creates a structured, date-stamped context file filed by typology (findings, plans, guides, follow-ups, merge-requests, tickets, decisions, notes, research) with YAML frontmatter. Use when saving a finding, writing a plan, capturing a guide, recording a decision, logging a follow-up, filing a merge-request note, plus ticket write-ups.

Query and display available GitHub Copilot AI models with their capabilities, context limits, and features. Use when: "what models are available", "show copilot models", "list github models", "check model capabilities", "switch models". Examples: - user: "What models can I use with GitHub Copilot?" → fetch and display available models - user: "Show me models with vision support" → filter models by capability - user: "Which model has the largest context window?" → compare model specifications - user: "List all GPT-5 models" → filter by model family

Fetches and analyzes GitLab merge request (MR) comments, metadata, and review feedback using authenticated API calls. Capabilities include fetching comment threads, retrieving reviewer feedback, filtering unresolved discussions, and generating MR activity reports. Use when the user asks about GitLab MR comments, code review discussions, review feedback, approval status, troubleshooting review delays, or needs to fetch merge request metadata via the GitLab API.

Guides TDD (test-driven development) with red-green-refactor workflows, test-first feature delivery, bug reproduction through failing tests, behavior-focused assertions, and refactoring safety. Use when writing unit tests, implementing new functions, adding test coverage, fixing regressions, changing APIs, or restructuring code under test — especially when a user says "write tests first", "TDD", or "test before code".

Compares deployed CloudFormation templates with locally synthesized CDK templates to detect drift, validate changes, and ensure consistency before deployment. Use when the user wants to compare CDK output with a deployed stack, check for infrastructure drift, run a pre-deployment validation, audit IAM or security changes, investigate a failing deployment, or perform a 'cdk diff'-style review. Triggered by phrases like 'compare templates', 'check for drift', 'cfn drift', 'stack comparison', 'infrastructure drift detection', 'safe to deploy', or 'what changed in my CDK stack'.

Query Google NotebookLM notebooks directly for source-grounded, citation-backed answers from your uploaded documents. Includes browser automation, library management, and persistent authentication.

Extract structured data from scientific literature PDFs using AI-powered OCR and LLM analysis. Supports enzyme kinetics, experimental results, and literature review templates. Use when researchers need to parse tables, charts, or text from paper PDFs into Markdown or CSV. Triggers: extract data from PDF, scientific data extraction, parse paper tables, enzyme kinetics extraction, batch PDF extraction, literature data, research data from paper, OCR scientific paper, convert PDF to structured data.

Search and download academic papers through Sci-Hub by DOI, title, or keyword. Supports PDF download, metadata extraction, and automatic mirror detection via CrossRef integration. Use when a paper is behind a paywall and you have the DOI or title. Triggers: sci-hub, download paper, fetch paper, academic paper download, paper by DOI, paper access, paywall bypass, retrieve paper, get full text, paper download.

Search Google Scholar for academic papers and author profiles. Use when discovering papers to triage — by keyword, author, or year range. Returns titles, authors, abstracts, and links. Triggers: search papers, find papers, google scholar, search scholar, find author, author profile, literature search, paper discovery, search academic literature.

Search and analyze biomedical literature from PubMed using the free E-utilities API. Use when researching medical topics, discovering clinical papers, fetching article metadata by PMID, performing deep paper analysis, or downloading open-access PDFs from PubMed Central. Triggers: pubmed search, search biomedical literature, find medical papers, PMID lookup, pubmed metadata, clinical literature search, biomedical research, life sciences papers, PMC download, ncbi search.

Search Semantic Scholar for academic papers, fetch paper details by ID or DOI, retrieve author profiles, and analyse citation graphs. Preferred over google-scholar-search — uses the official API with no scraping. Triggers: search papers, find papers, semantic scholar, paper details, paper by DOI, paper by ID, author profile, citation analysis, references, literature search, paper discovery.

Comprehensive toolkit for generating best practice Helm charts and resources following current standards and conventions. Use this skill when creating new Helm charts, implementing Helm templates, scaffolding Chart.yaml and values.yaml, defining deployment templates, service definitions, ingress configurations, .tpl helpers, or building Helm projects from scratch. Trigger phrases include "create", "generate", "build", "scaffold" alongside terms like "kubernetes helm", "k8s charts", "helm package", "chart dependencies", "values.yaml", or "helm install".

Creates bash scripts with argument parsing, error handling, logging, and input validation following current standards. Use when creating new bash or shell scripts, .sh files, CLI tools, scripting automation, text processing workflows (grep/awk/sed pipelines), or building production-ready command-line utilities. Trigger phrases include 'write a bash script', 'create a shell script', 'generate a .sh file', 'bash command', 'scripting', or 'automate with bash'.