Executes a written multi-step implementation plan end to end - loads the plan, reviews it critically for gaps, works through each task with its verification steps, and reports when everything is done. This is the execution stage inside the delivery-flow workflow, entered by requests like "implement this plan", "run the plan", "execute the plan", or "work through these tasks" once delivery-flow has produced a written plan. Do not activate directly for a standalone request that has not gone through delivery-flow first.

Investigates a test failure, bug, or unexpected behavior to find its root cause before proposing any fix - reproduce the issue, trace the data flow, form and test one hypothesis at a time, then implement and verify the fix. This is the debugging stage inside the delivery-flow workflow, entered by requests like "debug this failure", "why is this test failing", "find the root cause", or "this bug keeps coming back" once delivery-flow has handed off a bug. Do not activate directly for a standalone bug report that has not gone through delivery-flow first.

Implements a feature or bug fix test-first - write one failing test, watch it fail, write the minimal code to pass, then refactor with tests green. This is the implementation stage inside the delivery-flow workflow, entered by requests like "implement this feature", "fix this bug", "write the code for this", or "add the tests and implement it" once delivery-flow is driving the change. Do not activate directly for a standalone request that has not gone through delivery-flow first.

Inspect pod logs, analyze resource quotas, trace network policies, check deployment rollout status, and run cluster health checks for Kubernetes. Use this skill when diagnosing Kubernetes cluster issues, debugging failing pods, investigating network connectivity problems, analyzing resource usage, troubleshooting deployments, or performing cluster health checks.

Comprehensive toolkit for generating, validating, and managing Kubernetes YAML resources. Use this skill when creating Kubernetes manifests (Deployments, Services, ConfigMaps, StatefulSets, etc.), working with Custom Resource Definitions (CRDs), or generating production-ready K8s configurations.

Comprehensive toolkit for validating, linting, and testing Kubernetes YAML resources. Use this skill when validating Kubernetes manifests, debugging YAML syntax errors, performing dry-run tests on clusters, or working with Custom Resource Definitions (CRDs) that require documentation lookup.

Author or review chisel slice definition files (SDFs) against canonical/chisel-releases. Command-per-file architecture, portable across claude code, pi, opencode, copilot, and codex. Commands: write-slice (author + test + commit), review-slice (read-only review). Use when user says "add slice", "write a chisel slice", "review slices/<pkg>.yaml", or works inside a canonical/chisel-releases checkout.

Entry point for the mason agent kit. Routes a plain-language request to the right mason skill, or prints usage when the intent is unclear. Use when user runs /mason (with a request or bare), says "mason help", or "what can mason do".

Native Google Calendar and Tasks reads over the OneCLI gateway, for trusted-tier ground-truth verification. Gmail is intentionally excluded. Use when a trusted agent must verify a calendar event or a task/todo status, or otherwise read the owner's Calendar or Tasks.

Quick read-only health check — session context, workspace mounts, tool availability, and task snapshot. Use when the user asks for system status, health check, diagnostics, system info, check environment, what tools are available, or runs /status.

Read-only system-status probe for trusted-tier NanoClaw containers — surfaces stuck scheduled tasks, DB size, and recent task-run failures from the orchestrator's SQLite at `/workspace/store/messages.db`. Use as part of heartbeat or standalone. Triggers on "system status", "check tasks", "stuck tasks", "database size", "task failures".

Generates production-ready GitHub Actions workflows, custom actions, and CI/CD configurations following security and performance standards. Creates CI/CD pipelines, test workflows, deployment configurations, matrix builds, caching strategies, composite actions, Docker actions, JavaScript actions, and reusable workflows. Use when creating or scaffolding GHA resources, writing .github/workflows YAML files, setting up build automation, implementing deployment pipelines, adding security scanning, or building reusable actions — including triggers like 'create a workflow', 'build a pipeline', 'add CI', 'set up GHA', or 'generate a YAML workflow'.

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.

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.