vfarcic

Create changelog fragment for release notes. Invoke during /prd-done workflow during the first push to the PR.

Generate intelligent CI/CD workflows through interactive conversation by analyzing repository structure and user preferences

Generate production-ready, secure, multi-stage Dockerfile and .dockerignore for any project

Manage the knowledge base: ingest documents, search with natural language, or delete chunks. Use "ingest" to store organizational documentation, "search" to find relevant content semantically, or "deleteByUri" to remove all chunks for a document. TIP: For complex questions, you can call search multiple times with different phrasings to gather comprehensive information before synthesizing your answer.

Unified tool for managing cluster data: organizational patterns, policy intents, and resource capabilities. For patterns and policies: supports create, list, get, delete, deleteAll, and search operations (patterns also support step-by-step creation workflow). For capabilities: supports scan, list, get, delete, deleteAll, and progress operations for cluster resource capability discovery and management. Use dataType parameter to specify what to manage: "pattern" for organizational patterns, "policy" for policy intents, "capabilities" for resource capabilities.

AI-powered Kubernetes application operations tool for Day 2 operations. Handles updates, scaling, enhancements, rollbacks, and deletions through natural language intents. Analyzes current state, applies organizational patterns and policies, validates changes via dry-run, and executes approved operations safely.

Remove all Port integrations, Kubernetes resources, and local files created by /port-setup

Set up Port integrations to sync Kubernetes resources and GitHub Actions to Port.io

Generate a feature request prompt for another dot-ai project. Use when you need a feature implemented in a sibling project (MCP server, controller, etc.) to unblock work in the current project.

Create a git worktree for PRD work with a descriptive branch name. Infers PRD from context or asks user.

Create changelog fragment for release notes. Invoke during /prd-done workflow during the first push to the PR.

Process a feature request or response from another dot-ai project. Reads from tmp directory, implements/integrates, and writes response if needed.

Query sibling dot-ai projects to verify features are USABLE (not just defined). IMPORTANT: When calling this skill, explain HOW you plan to use the feature (e.g., 'I need to call X via REST API from the UI' or 'I need to import Y function'). This helps verify the full chain from definition to exposure.

Create a release tag based on accumulated changelog fragments. Run when ready to cut a release.

Publish the docs site to GHCR with a main-<sha> tag and bump site/helm/values.yaml so Argo CD picks it up — without cutting a SemVer release. Use when docs/site changes need to go live between releases.

Run, build, smoke-test, and screenshot the dot-agent-deck binary against an isolated sandbox. Use when asked to "run dot-agent-deck", "launch the TUI", "take a screenshot of the dashboard", "verify the CLI smoke", or "test a change locally" against the dot-agent-deck binary.

Analyze the blast radius of a proposed Kubernetes operation. Accepts free-text input: kubectl commands (e.g., "kubectl delete pvc data-postgres-0 -n production"), YAML manifests, or plain-English descriptions (e.g., "what happens if I delete the postgres database?"). Returns whether the operation is safe and a detailed dependency analysis with confidence levels.

Create a release tag based on accumulated changelog fragments. Run when ready to cut a release.

Write documentation with real, validated examples. Executes commands through the user to capture actual output. Use for any new documentation or major doc updates.

Update PRD based on design decisions and strategic changes made during conversations

Create a release tag based on accumulated changelog fragments. Run when ready to cut a release.

Create a git worktree for PRD work with a descriptive branch name. Infers PRD from context or asks user.

Write documentation with real, validated examples. Executes commands through the user to capture actual output. Use for any new documentation or major doc updates.

Start working on a PRD implementation

Kubernetes cluster operations via dot-ai CLI - natural language cluster queries, AI-powered deployment recommendations, issue troubleshooting and remediation, Day 2 operations (scale, update, rollback, delete), resources, namespaces, events, logs, organizational knowledge base (ingest, search, query), organizational patterns/policies/capabilities management, project scaffolding and repo audit, and session history and visualization. Run `dot-ai --help` for commands.

Create a release tag based on accumulated changelog fragments. Run when ready to cut a release.

Create a git worktree for PRD work with a descriptive branch name. Infers PRD from context or asks user.

Write documentation with real, validated examples. Executes commands through the user to capture actual output. Use for any new documentation or major doc updates.

Build and publish the mock-server Docker image to GitHub Container Registry. Use when mock server fixtures or code have changed and need to be published.

Generate retro arcade style infographic prompts for documentation pages

Create a git worktree for PRD work with a descriptive branch name. Infers PRD from context or asks user.

Create a release tag based on accumulated changelog fragments. Run when ready to cut a release.

Write documentation with real, validated examples. Executes commands through the user to capture actual output. Use for any new documentation or major doc updates.

Run a PRD end-to-end autonomously — start, iterate until done, then create a PR. Stops after PR creation for manual review.

Create a git worktree for PRD work with a descriptive branch name. Infers PRD from context or asks user.

Use Playwright MCP to explore a feature, analyze existing tests, and generate/update E2E tests. Prioritizes user journey scenarios over individual element tests.

Manage users (create, list, delete)

Refresh the channel analytics block on content/sponsor/_index.md by fetching live numbers from the YouTube Data + YouTube Analytics APIs.