phase-build

A guided workflow for building one release phase from agreed product specifications and screen designs. It shows planned API endpoints, user-interface components, and infrastructure resources on an interactive board.

In plain words
What is it for?
Use it to plan a phase, adjust its implementation plan, then build the API, interface, and infrastructure one item at a time while tracking progress.
Why use it?
It makes the phase scope visible before coding and shows which parts already exist, need changes, or are new, reducing work based on outdated assumptions.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/cavalry-collective/visual-stack/phase-build
Any agent
npx skills add Cavalry-Collective/visual-stack --skill phase-build
Clone the repo
git clone --depth 1 https://github.com/Cavalry-Collective/visual-stack

Made for: Claude Code, Codex.

Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,793 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00086 $0.01793
Opus 5 $0.00043 $0.00897
Sonnet 5 $0.00017 $0.00359
Haiku 4.5 $0.00009 $0.00179

Measured 2d ago against content hash 000877cca9c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

phase-build scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/vstack/experimental/phase-build/SKILL.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

One release phase, built in three passes — API, then UI, then infrastructure — against a plan the user saw and adjusted first. The board shows three trees (Endpoints · Components · Resources), each node coloured by what it is: new this phase, changed (exists, this phase extends it), or already built. Press Start, and the same board becomes the progress view — nodes pulse while being built and fill in as they land.

story map slice + specs + phase screens ──► plan JSON ──► board ──► user adjusts ──► Start
                                                                                         │
        done ◄── infra ◄── ui ◄── api  — one node at a time, each reported to the board ◄┘

have is read from the codebase, never from a previous plan. A plan that colours from last phase's intentions lies the first time a phase ships partial. Read the actual routes, components, migrations and infra files; stamp when you read them.

1 · Scope the phase

  • Pipeline mode: phase N is phase in .vstack/pipeline.json. Its content is the phase-N slice of specs/story-map.json, the specs in artifacts.specs[], and design/phase-<n>/ if phase wireframes exist. If "specsOnly": true, this stage doesn't apply — say so and offer /vstack:start to add development setup.
  • Standalone: whatever the user points at — a spec, a story list, "build this". Ask only what you can't infer.

2 · Read the codebase, then draft the plan

Walk the actual code: API routes and handlers, frontend components/pages, migrations, infra and deploy files. Then write .vstack/build/phase-<n>.json:

{
  "phase": 1,
  "readAt": "2026-07-29 14:05",
  "subjects": {
    "api":   { "mono": true, "root": { "id": "api", "kind": "API", "text": "/v1", "state": "have", "children": [] } },
    "ui":    { "root": { "id": "ui", "kind": "Frontend", "text": "<app>", "state": "have", "children": [] } },
    "infra": { "root": { "id": "in", "kind": "Infra", "text": "<envs>", "state": "have", "children": [] } }
  }
}

Read the full file on GitHub · 128 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 128 lines · 86 tokens per session scan A 000877cca9c1

Subscribe to this mod's changes

phase-build is a skill published in the GitHub repository Cavalry-Collective/visual-stack (11 stars, last pushed 13d ago), licensed MIT. It adds 86 tokens to every session and 1,793 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

ideogram-ultra

Build Ideogram 4 (Ideogram Ultra) txt2img and img2img workflows with the local open-weights model, dual conditional/unconditional models with DualModelGuider, Qwen3-VL text encoder, and structured JSON ("compositional deconstruction") prompts for strong text rendering and layout control.

artokun/comfyui-mcp · 68 tokens

model-compatibility

Model family compatibility matrix covering loaders, resolutions, samplers, CFG, VAE, ControlNet, and LoRA compatibility for SD 1.5, SDXL, Flux, SD3, and video models.

artokun/comfyui-mcp · 47 tokens

flux-txt2img

Build Flux txt2img workflows with Flux.1 Dev (SRPO), Flux 2 Klein 9B, Turbo LoRAs, FluxGuidance, and DualCLIPLoader patterns.

artokun/comfyui-mcp · 44 tokens

panel-node-pack-sync

Keep the ComfyUI sidebar panel node-pack (comfyui-agent-panel) in step with the orchestrator after comfyui-mcp updates. Use this whenever the orchestrator was just updated (installcomfyui (action:"selfupdate"), npm i -g comfyui-mcp, a new version in the ENVIRONMENT line), when a panel/bridge command fails in a way…

artokun/comfyui-mcp · 206 tokens

civitai

Discover Civitai models with the BUILT-IN downloadmodel action:"searchcivitai" and install/generate them locally. Find a checkpoint/LoRA/embedding on Civitai, download it into ComfyUI, and use its trigger words. Optionally pair the official Civitai MCP for community features (images browsing, posting, collections).

artokun/comfyui-mcp · 76 tokens

20-client-intake-brief-global

Use when an agency or freelancer takes on a NEW client and needs everything up front — an 11-section intake covering business overview, audience, current marketing, goals, budget, timeline, brand assets, approval process, and success criteria, written for the client to fill in and return. Trigger on 'client intake'…

minhnv0807/ai-business-skills · 168 tokens