Vetcoders
Official@vetcoders · Poland
Vetcoders is a small builder lab founded by veterinarians. We build practical software, clinical systems, AI tools, and the missing pieces between them.
Agent Skills by Vetcoders
Showing 37 vetted skills indexed across 2 GitHub repositories.
VetCodersvc-justdo
Plan, implement, audit, and deliver complete features autonomously.
VetCodersvc-init
Bootstrap agent sessions with History, Eyes, and Verify context layers.
VetCodersvc-workflow
Coordinate an Examine–Research–Implement workflow to map code structure before changes.
VetCodersvc-prune
Prune repositories to runtime and publish-cone surfaces with vc-agents.
VetCodersvc-hydrate
Generate governance files, distribution artifacts, and public project surfaces.
VetCodersvc-dou
Crawl public URLs and validate install paths to document gaps in a DoU matrix.
VetCodersvc-decorate
Detect and audit a product's visual identity to unify design language across surfaces.
VetCodersvc-scaffold
Translate vague founder ideas into an actionable architectural scaffold with SCAFFOLD.md.
VetCodersvc-agents
Spawn external subagents for Codex, Claude, and Gemini with artifact persistence.
VetCodersvc-marbles
Orchestrates adaptive denoising loops to converge AI-generated code into a coherent product.
VetCodersvc-release
Coordinate production releases by tagging commits, generating changelogs, and publishing artifacts.
VetCodersvc-partner
Coordinate executive partner workflows with agent swarms for debugging, architecture triage, and feature framing.
VetCodersvc-followup
Audit agent-delivered work with loctree, semgrep, and cargo clippy checks.
VetCodersvc-review
Generate structured artifacts and findings-max audits for PR reviews.
VetCodersvc-research
Coordinates three independent AI agents to research a problem and synthesize findings into one actionable document.
VetCodersvc-delegate
Delegate bounded tasks to Claude subagents via the Task tool.
VetCodersaicx-extract
Convert Claude Code JSONL agent outputs into readable Markdown files.
VetCodersvetcoders-init
Initializes AI sessions by extracting past context and mapping the current codebase via ai-contexters and loctree MCP tools.
VetCodersvetcoders-prune
Identifies and removes non-runtime code, files, and directories from repositories using phased cleanup waves.
VetCodersvetcoders-decorate
Detect existing CSS variables and theme tokens to implement hover effects and scroll animations.
VetCodersvetcoders-spawn
Spawn external sub-agents in interactive zsh shells with durable artifacts.
VetCodersvetcoders-hydrate
Generate documentation, installers, and marketing content for software releases.
VetCodersvetcoders-subagents
Create and manage AI subagents for delegated repository tasks.
VetCodersRender PDF pages to images and extract text with pdfplumber or pypdf.
Frequently Asked Questions About Vetcoders
FAQPage SchemaWhat specific tasks can I perform using these repository management capabilities?▼
You can perform automated repository pruning, generate holographic code structure maps, audit pull request findings, and orchestrate multi-phase release cycles. These capabilities enable developers to maintain clean codebases, validate installation paths, and ensure commercial readiness through structured governance and artifact generation.
Which technical personas benefit most from these development systems?▼
Software architects, release engineers, and technical leads benefit from these systems. The functionality is designed for teams needing to manage complex repository lifecycles, enforce consistent design language, and delegate bounded implementation tasks to specialized sub-processes while maintaining high-level oversight of project health.
What are the primary dependencies and runtime requirements for these systems?▼
These systems require a standard zsh shell environment and access to modern model interfaces like Claude, Codex, or Gemini. Integration relies on local repository access, with specific auditing capabilities utilizing standard industry checkers like semgrep and cargo clippy for verification.