Adobe Skills is a collection of skills, plugins, agents, and MCP servers that extend AI coding agents with workflows for Adobe products and other tasks. Developers use it to help coding agents work with Adobe analytics and application-building tools. The catalogue entries are the repository’s own skills, plugins, agents, and MCP integrations.
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.
npx agentmods add skills/adobe/skills/snowflakenpx skills add adobe/skills --skill snowflakegit clone --depth 1 https://github.com/adobe/skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/adobe/skills/snowflake)<a href="https://agentmods.dev/skills/adobe/skills/snowflake"><img src="https://agentmods.dev/badge/skills/adobe/skills/snowflake.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00144 | $0.03650 |
| Opus 5 | $0.00072 | $0.01825 |
| Sonnet 5 | $0.00029 | $0.00730 |
| Haiku 4.5 | $0.00014 | $0.00365 |
Grade A, and why
snowflake scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsS "$SOURCE_URL" -o "$PROJECT/input/index.html" How it starts
The opening of the file, as written. The whole thing — 326 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Snowflake — Static-to-EDS Conversion
Convert a static HTML page into an EDS page while preserving the original design and making content authorable in Document Authoring. Two conversion levels are supported:
- Page-level (overlay) — the original DOM is preserved
byte-for-byte via a template with
[data-slot]markers. One template, one CSS file, one DA doc with slot-keyed rows. - Block-level — each content section becomes an independent EDS
block with its own
decorate()function and CSS. Content is authored in DA block tables. Header and footer stay as static fragments.
Both levels keep the original visual design intact. Page-level is the safer default; block-level produces more standard EDS output but requires section independence in the source page.
When to use
The user has an AI-generated polished static HTML page and wants to launch it on Edge Delivery Services without losing the original design while still making content editable in DA. Typical phrasing:
- "Convert https://example.com/static-page to EDS"
- "Make this page editable in DA but keep the original markup"
- "Convert this page to EDS blocks" (signals
level=block) - "Start the next experimentation for URL …"
- "Static-to-EDS overlay for …" (signals
level=page)
What this skill does NOT do
Not for canonical EDS block-rewrite migrations — that's
page-import. Snowflake preserves the source design; page-import
rewrites to standard EDS block patterns with no visual fidelity
target. Three asset strategies are supported (see
knowledge/methodology.md §3):
absolute, vendor, da-media.
Parameters
| Parameter | Values | Default | Description |
|---|---|---|---|
level |
page, auto, check, block |
page |
Conversion level — see below |
level values
| Value | Behavior |
|---|---|
auto |
Run the feasibility analysis in Phase 2, present the recommendation, ask the user to confirm before Phase 3 |
check |
Run the feasibility analysis only — produce the report in decisions.json, stop before Phase 3. Useful for batch scanning |
block |
Block-level conversion. Analysis still runs as validation (written to decisions.json) but does not gate the conversion |
page |
Page-level conversion (standard overlay). Analysis still runs as validation but does not gate the conversion |
What ships with it
44 files 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.
- .releaserc.json 49 B
- assets/substrate-milo/animation-sidecars.md 3.8 KB
- assets/substrate-milo/blocks/animation/animation.css 247 B
- assets/substrate-milo/blocks/animation/animation.js 3.0 KB runs code
- assets/substrate-milo/blocks/snowflake/snowflake.css 2.7 KB
- assets/substrate-milo/blocks/snowflake/snowflake.js 16 KB runs code
- assets/substrate-milo/FLAVOR.md 21 KB
- assets/substrate-milo/MANIFEST.json 3.3 KB
- assets/substrate-milo/tools/page-animator/controls.js 6.3 KB runs code
- assets/substrate-milo/VERSION 13 B
- assets/substrate/blocks/footer/footer.css 562 B
- assets/substrate/blocks/footer/footer.js 704 B runs code
- assets/substrate/blocks/header/header.css 808 B
- assets/substrate/blocks/header/header.js 704 B runs code
- assets/substrate/head.html 451 B
- assets/substrate/MANIFEST.json 4.5 KB
- assets/substrate/scripts/delayed.js 1.8 KB runs code
- assets/substrate/scripts/overlay-engine.js 6.9 KB runs code
- assets/substrate/styles/fonts.css 772 B
- assets/substrate/styles/styles.css 1.9 KB
- assets/substrate/VERSION 6 B
- CHANGELOG.md 4.1 KB
- examples/README.md 2.3 KB
- HOST-NOTES.md 11 KB
- knowledge/architecture.md 11 KB
- knowledge/block-level-conversion.md 15 KB
- knowledge/block-level-feasibility.md 12 KB
- knowledge/eds-da-mechanics.md 8.4 KB
- knowledge/learnings.md 52 KB
- knowledge/methodology.md 20 KB
- package.json 89 B
- phases/0-prereq.md 6.9 KB
- phases/1-capture.md 5.5 KB
- phases/2-analyze.md 13 KB
- phases/3-generate.md 21 KB
- phases/4-wire.md 3.7 KB
- phases/5-roundtrip.md 17 KB
- phases/6-reflect.md 4.6 KB
- README.md 4.7 KB
- scripts/da-media-upload.mjs 7.5 KB runs code
- scripts/dom-equality.mjs 13 KB runs code
- scripts/install-substrate.mjs 15 KB runs code
- scripts/install-substrate.test.mjs 8.5 KB runs code
- scripts/transform-da-to-eds.mjs 4.5 KB runs code
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.
- 2d ago First seen · 326 lines · 144 tokens per session scan A ae7add061736
snowflake is a skill published in the GitHub repository adobe/skills (177 stars, last pushed yesterday), licensed Apache-2.0. It adds 144 tokens to every session and 3,650 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
playground
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frontend-design
Guidance for distinctive, intentional visual design when building new UI or reshaping an existing one. Helps with aesthetic direction, typography, and making choices that don't read as templated defaults.
fixing-motion-performance
Audit and fix animation performance issues including layout thrashing, compositor properties, scroll-linked motion, and blur effects. Use when animations stutter, transitions jank, or reviewing CSS/JS animation performance.
baseline-ui
Quickly deslop UI code by fixing spacing, hierarchy, typography, and small layout issues. Use when the interface needs a fast cleanup or polish pass.
frontend-design
创建具有高设计品质、可交付生产的前端界面。当用户要求构建 Web 组件、页面、海报或应用（如官网、落地页、仪表盘、React/Vue 组件、HTML/CSS 布局，或对任意 Web UI 进行样式/美化）时使用本技能。产出有创意、打磨到位且避免「AI 通用审美」的代码与界面设计。.
antfu-design
Use this when building interfaces with UnoCSS in any framework (React, Vue, Svelte, Solid, or plain HTML), from dense devtools panels to landing pages. Read core-design-read first to set the direction, then apply the token system plus the polish and anti-slop rules.