workflow

A development workflow defines the required process for changing the ambient-ui component, including checking project specifications and writing tests before implementation. TDD, or test-driven development, means defining relevant tests first and then implementing the change.

In plain words
What is it for?
It helps plan ambient-ui work, update specifications when needed, define tests, implement changes in small units, and verify them before continuing.
Why use it?
It reduces the risk of making changes that conflict with the project's requirements or are not properly verified.

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/ambient-code/platform/workflow
Any agent
npx skills add ambient-code/platform --skill workflow
Clone the repo
git clone --depth 1 https://github.com/ambient-code/platform

Made for: Claude Code, Codex.

Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,526 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 $0.00016 $0.03526
Opus 5 $0.00008 $0.01763
Sonnet 5 $0.00003 $0.00705
Haiku 4.5 $0.00002 $0.00353

Measured 2d ago against content hash 0e65a3087871, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

workflow 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.

skills/ambient-ui/workflow/SKILL.md · 264 lines

How it starts

The opening of the file, as written. The whole thing — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ambient UI Development workflow

Strict workflow execution to be used when performing any ambient-ui component work.

User Input

$ARGUMENTS

Workflow

1. Align with Specs

All work must be aligned with specs. If the user or instructions are asking for work to be done without a verified matching section in a spec, STOP.

Before proceeding with implementation, update the relevant spec to match the request.

2. Perform Test Driven Development

Determine the size of the work. If it is large, break it down into smaller atomic units of work and execute this workflow for each one. You can use subagents to handle this gracefully, preserving your context.

Define tests that are relevant and that, when they pass, provide a genuine trust that the system is properly implemented in a way that aligns with the spec and the user's intent.

Then, proceed with methodical implementation, breaking work into atomic units of work for subagents when possible. Bias towards using subagents for implementation tasks, but ensure they read this workflow skill to understand the development standards.

Test and verify implementation before proceeding to the next step.

Standards

These standards are to be used during all ambient-ui component development work.

Fakes over Mocks

When testing, fakes are to be preferred over mocks. Tests that don't test reality are not tests at all.

Accessibility
  • For Red Hat assets, small text (17pt or smaller) needs to have a 4.5:1 contrast ratio at minimum. Large text (18pt or larger) and informative graphics like icons need to have a 3:1 contrast ratio at minimum.

  • Saturated hues that are similar in intensity can vibrate when used together, creating fuzziness around the edges like a glowing blur. These colors can be difficult for anyone to look at and distinguish, and even painful for those with vision differences. An example of high-contrast colors that do not vibrate.

    Do this: Combine bright colors with less saturated and neutral colors. Image showing misuse: An example of low-contrast colors that vibrate.

Read the full file on GitHub · 264 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 · 264 lines · 16 tokens per session scan A 0e65a3087871

Subscribe to this mod's changes

workflow is a skill published in the GitHub repository ambient-code/platform (129 stars, last pushed 2d ago), licensed MIT. It adds 16 tokens to every session and 3,526 once invoked, about $0.0001 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.

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