Data Warehouse Experimentation
rampstackco/claude-skills
Running experiments out of the data warehouse instead of via dedicated experiment platforms.
Use this when converting an AI-generated static HTML page (Stardust, Mobirise, Relume, Lovable, v0, Figma-derived, etc.) into an Edge Delivery Services page while preserving the original design and…
$ npx skills add adobe/skills --skill snowflake -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install adobe/skills snowflake --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/adobe/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/aem/edge-delivery-services/skills/snowflake .claude/skills/snowflake && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "snowflake" agent skill from https://github.com/adobe/skills/tree/main/plugins/aem/edge-delivery-services/skills/snowflake into .claude/skills/snowflake/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "snowflake", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/adobe/skills/tree/main/plugins/aem/edge-delivery-services/skills/snowflakeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add adobe/skills --skill snowflake -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install adobe/skills snowflake --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/adobe/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/aem/edge-delivery-services/skills/snowflake .agents/skills/snowflake && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "snowflake" agent skill from https://github.com/adobe/skills/tree/main/plugins/aem/edge-delivery-services/skills/snowflake into .agents/skills/snowflake/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "snowflake", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add adobe/skills --skill snowflake -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install adobe/skills snowflake --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/adobe/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/aem/edge-delivery-services/skills/snowflake .cursor/skills/snowflake && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "snowflake" agent skill from https://github.com/adobe/skills/tree/main/plugins/aem/edge-delivery-services/skills/snowflake into .cursor/skills/snowflake/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "snowflake", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/adobe/skills.git --path plugins/aem/edge-delivery-services/skills/snowflake--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add adobe/skills --skill snowflake -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install adobe/skills snowflake --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/adobe/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/aem/edge-delivery-services/skills/snowflake .gemini/skills/snowflake && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "snowflake" agent skill from https://github.com/adobe/skills/tree/main/plugins/aem/edge-delivery-services/skills/snowflake into .gemini/skills/snowflake/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "snowflake", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install adobe/skills snowflakeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add adobe/skills --skill snowflake -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/adobe/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/aem/edge-delivery-services/skills/snowflake .github/skills/snowflake && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "snowflake" agent skill from https://github.com/adobe/skills/tree/main/plugins/aem/edge-delivery-services/skills/snowflake into .github/skills/snowflake/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "snowflake", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add adobe/skills --skill snowflake -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install adobe/skills snowflake --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/adobe/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/aem/edge-delivery-services/skills/snowflake .opencode/skills/snowflake && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "snowflake" agent skill from https://github.com/adobe/skills/tree/main/plugins/aem/edge-delivery-services/skills/snowflake into .opencode/skills/snowflake/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "snowflake", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
snowflakeUse this when converting an AI-generated static HTML page (Stardust, Mobirise, Relume, Lovable, v0, Figma-derived, etc.) into an Edge Delivery Services page while preserving the original design and…
Snowflake is an agent skill from adobe/skills. Use this when converting an AI-generated static HTML page (Stardust, Mobirise, Relume, Lovable, v0, Figma-derived, etc.) into an Edge Delivery Services page while preserving the original design and making content authorable in Document Authoring — triggers include "convert this page to EDS", "static-to-EDS overlay", "convert to EDS blocks", "next experimentation", "next run", "start run", or providing a source URL to make editable in DA. Covers two modes — page-level (overlay template with slot markers) and…
Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 61 other files, including scripts and assets (for example `.releaserc.json`, `CHANGELOG.md` and `HOST-NOTES.md`).
It sits in Databases, covering Data warehousing, HTML artifacts and A/B testing. It works with Adobe Experience Manager, Snowflake and Figma. The repository describes itself as: Adobe Skills for Agents. The licence is Apache-2.0.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit cbc9952. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (JavaScript, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
gitnodecurlnpxjqghFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
admin.da.liveadmin.hlx.pageFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
DA_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Snowflake loads about 3.7k tokens when it runs. Until then it costs about 163 tokens; SKILL.md has 1,254 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from adobe/skills at commit cbc9952, republished under its Apache-2.0 licence (© adobe). 1,254 words, ~3,701 tokens.
.claude/skills/snowflake/SKILL.md (or your agent's skills folder). This skill also uses 54 other files; get the full folder from GitHub.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:
[data-slot] markers. One
template, one CSS file, one DA doc with slot-keyed rows.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.
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:
level=block)level=page)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.
| 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 |
When level is not provided and the user's phrasing signals intent,
infer it:
level=blocklevel=pagelevel=page/snowflake https://example.com/promo → page-level; infer repo, daRoot, slug
/snowflake https://example.com/promo level=block → block-level, infer the rest
/snowflake https://example.com/promo level=auto → feasibility analysis decides
/snowflake level=check → feasibility scan only (asks for URL)
/snowflake → page-level, fully interactiveThe Source URL is the leading positional input and the only required argument. Everything else is resolved automatically and presented in a single confirmation summary before any work begins.
Snowflake cites DA HTML rules and the DA admin API contract from the
da-content skill. Load da-content alongside Snowflake.
Phases 3 (Generate) and 5 (Round-trip) reference it directly.
Required — the only input the skill cannot resolve on its own:
Resolved automatically — shown in the init summary for one-shot confirmation before any work begins:
gh repo view --json nameWithOwner,
falling back to parsing git remote get-url origin. Must already have
the overlay engine wired (see knowledge/architecture.md
§"Solution shape"). Phase 0 installs it if absent..snowflake/config.json daRoot key
if set, otherwise defaults to the current git branch name (the same
branch the skill uses for code). Shown in summary; override inline.page. Shown in summary; override inline.Auth check (non-blocking) — DA token resolved from $DA_TOKEN →
~/.aem/da-token.json. Its status appears in the init summary. Phases
1–4 do not need it; if absent at invocation time, invoke the da-auth
skill before Phase 5 (Round-trip) runs.
On every invocation the agent performs these steps before entering Phase 0:
Resolve inputs — apply the fast-path rules from the Prerequisites section above.
Probe substrate —
node <SKILL_DIR>/scripts/install-substrate.mjs --dry-runCaptures the outcome (no-op / clean-install / drift / custom-code-detected).
Check DA token —
DA_TOKEN=$(node -e "
const fs = require('fs');
const p = process.env.HOME + '/.aem/da-token.json';
try {
const t = JSON.parse(fs.readFileSync(p, 'utf8'));
if (t.expires_at > Date.now() + 60000) process.stdout.write(t.access_token);
} catch {}
")Non-blocking — records status for the summary only.
Always display the run parameters before any phase begins. Show this summary unconditionally — even when all values were provided upfront or inferred without ambiguity — then proceed immediately without waiting for confirmation:
Source URL : https://example.com/promo ← required (provided)
Target repo: acme/my-site ← detected from git
DA root : /main ← from current branch
Level : page ← default
Slug : promo ← derived from URL
Substrate : clean install — 9 files ← (or: already current ✓)
DA token : cached ✓ ← (or: not found — needed at Phase 5)Proceed without pausing for the common case (fresh install — no snowflake substrate yet; replaced files are backed up). Only pause for drift (a prior snowflake substrate that diverged), where overwriting could lose intentional customization — Phase 0 handles that case.
Proceed — Phase 0 → 1 → … → 6 in order.
From the target EDS repository root, here's the full seven-phase conversion in compressed form. Each phase file under phases/ holds the complete prompt; this is the shape of the actual commands the agent emits.
# Inputs (resolved during init, confirmed in the summary)
SOURCE_URL="https://example.com/promo"
PAGE_SLUG="promo"
DA_ROOT="/main" # defaults to current branch name
NNN=001 # next run number
PROJECT=".snowflake/projects/${NNN}-${PAGE_SLUG}"
TEMPLATE_NAME="promo"
LEVEL="page" # page | auto | check | block
# Phase 0 — install (or verify) the overlay substrate (once per repo)
node "<SKILL_DIR>/scripts/install-substrate.mjs"
# Phase 1 — capture: fetch source + assets into the project folder
mkdir -p "$PROJECT/input"
curl -fsS "$SOURCE_URL" -o "$PROJECT/input/index.html"
# For JS-rendered pages, use a browser to get the fully rendered HTML instead
# Phase 2 — analyze: produce decisions.json (sections, slots, asset
# strategy, head-links, conversionLevel). Includes block-level
# feasibility assessment. If LEVEL=check, stop here.
# Driven by phases/2-analyze.md.
# Phase 3 — generate: produce 5 artifacts + DA-source body
# (templates/<tpl>.html, fragments/<tpl>/{header,footer}.html,
# styles/<tpl>.css, scripts/<tpl>-animations.js, da/<slug>.html).
# Driven by phases/3-generate.md.
# Phase 4 — wire: copy artifacts to EDS-served paths and build the
# drafts file. Driven by phases/4-wire.md.
# Phase 5 — round-trip: local dev server + production preview
npx -y @adobe/aem-cli up --html-folder drafts &
TOKEN="${DA_TOKEN:-$(jq -r .access_token ~/.aem/da-token.json)}"
git checkout -b "snowflake-${NNN}" && git add . && git commit -m "snowflake #${NNN}"
git push -u origin "snowflake-${NNN}"
curl -X PUT -H "Authorization: Bearer $TOKEN" \
-F "data=@${PROJECT}/output/da/${PAGE_SLUG}.html;type=text/html" \
"https://admin.da.live/source/${OWNER}/${REPO}${DA_ROOT}/${PAGE_SLUG}.html"
curl -X POST -H "Authorization: Bearer $TOKEN" \
"https://admin.hlx.page/preview/${OWNER}/${REPO}/snowflake-${NNN}${DA_ROOT}/${PAGE_SLUG}"
# Verify at https://snowflake-${NNN}--${REPO}--${OWNER}.aem.page/${DA_ROOT}/${PAGE_SLUG}
# Phase 6 — reflect: append findings to $PROJECT/learnings.md;
# promote cross-project rules to knowledge/learnings.md.<SKILL_DIR> is the absolute path to the directory containing this
SKILL.md. The agent substitutes it before invoking — see
HOST-NOTES.md for per-host resolution rules.
Each phase is a self-contained markdown file with executable bash + Node.
The agent reads the phase prompt, runs its steps, updates state.json
at the project root (<projectsDir>/<NNN>-<slug>/state.json), and
proceeds. Reruns are safe — phases skip work already done.
Prerequisites — install/verify the overlay substrate; stamp
.snowflake/config.json. Runs once per repo.
See phases/0-prereq.md.
Capture — fetch source HTML and referenced external assets; create the project folder. See phases/1-capture.md.
Analyze — structural map: header/footer boundaries, section
list, slot opportunities, head-level links to lift, asset strategy.
Also runs the block-level feasibility assessment — see
knowledge/block-level-feasibility.md.
Includes a page complexity gate: pages with >8 sections or >100
slottable elements auto-switch from page-level to block-level to
avoid incomplete content extraction (see phases/2-analyze.md).
Produces notes.md + decisions.json (including conversionLevel).
See phases/2-analyze.md.
Generate — branches by conversionLevel from Phase 2:
page: produce the 5 overlay artifacts (template HTML,
header fragment, footer fragment, page CSS, animations JS)
plus the DA-source body with slot-keyed rows.block: produce per-section block JS/CSS, header/footer
fragments, global styles/tokens, and the DA-source body with
standard block tables.hybrid: block-level for passing sections, page-level
fragments for failing sections.
Both page and block are supported under either substrate
flavor (eds or milo). All Milo-specific deltas — chrome
metadata, page-level/block-level generation, the --pa-* animation
sidecars, and wiring — live in
assets/substrate-milo/FLAVOR.md;
the phase docs carry a gated pointer to it. The core skill stays
substrate-neutral. See phases/3-generate.md.Wire — copy artifacts to EDS-served paths, build the local-test drafts file, run lint. See phases/4-wire.md.
Round-trip — local (dev server) then production (branch + push + DA PUT + preview API). Enforces a browser health gate on both: the page must render (not blank), apply the overlay, match the source structure, be free of console/network errors, and pass the 1:1 DOM-equality check before the run may continue. See phases/5-roundtrip.md.
Reflect — append run findings; promote cross-project learnings to knowledge/learnings.md. Does not close the iteration — that's a user decision. See phases/6-reflect.md.
Knowledge resolution per phase: each phase tries
.snowflake/knowledge/<file>.md (project-specific override) first,
then <SKILL_DIR>/knowledge/<file>.md (bundled, canonical). Project
overrides win on conflict.
Load knowledge just-in-time — only when the phase that needs it begins.
On invocation (before Phase 0):
da-content skill is loadable (needed by phases 3 and 5).At Phase 2 (Analyze): 4. knowledge/block-level-feasibility.md — criteria for block-level vs page-level conversion.
At Phase 3 (Generate): 5. knowledge/architecture.md — overlay engine and slot writer semantics. 6. knowledge/block-level-conversion.md — architecture and patterns for block-level conversion. 7. knowledge/learnings.md — cross-project findings relevant to generation.
At Phase 5 (Round-trip): 8. knowledge/eds-da-mechanics.md — EDS pipeline overlay-runtime lore. 9. knowledge/learnings.md — entries on media handling, CORS, scroll-animation quirks (if not already loaded).
Then start at Phase 0.
<SKILL_DIR> path resolution rules,
.snowflake/ directory convention, and forbidden cross-host
primitives (for maintainers).© adobe, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 54 other files (scripts, assets) in plugins/aem/edge-delivery-services/skills/snowflake of adobe/skills.
Open the folder on GitHubat commit cbc9952
Snowflake next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Snowflake this skilladobe/skills | 195 | — | ~3.7k | Automated safety check: Pass | Apache-2.0 | |
| Data Warehouse Experimentationrampstackco/claude-skills | 935 | — | ~7.3k | Automated safety check: Pass | MIT | |
| Caspian DiscordTryCaspian/caspian-sdk | 971 | — | ~323 | Automated safety check: Pass | Apache-2.0 | |
| Write Script Snowflakewindmill-labs/windmill | 18k | — | ~2.2k | Automated safety check: Pass | Custom licence | |
| Pure Lsp Execute Parallelfinos/legend-engine | 112 | — | ~927 | Automated safety check: Pass | Apache-2.0 | |
| Schema Design InterviewerPrepLabsAI/InterviewMentor | 112 | — | ~8.2k | Automated safety check: Pass | MIT |
rampstackco/claude-skills
Running experiments out of the data warehouse instead of via dedicated experiment platforms.
TryCaspian/caspian-sdk
Post a Discord message via Caspian to a channel snowflake id.
windmill-labs/windmill
MUST use when writing Snowflake queries. An agent skill from windmill-labs/windmill.
finos/legend-engine
Runs 2 to 30 Pure functions or tests concurrently on the warm LSP daemon via pure-lsp execute-parallel, or every test in a package or .pure file with --package/--source.
PrepLabsAI/InterviewMentor
A Data Warehouse and Lakehouse Schema Design Expert interviewer focused on dimensional modeling, star/snowflake schemas, analytics optimization, and modern lakehouse architectures.
FerroxLabs/wayland
Expert data modeling covering star schema, snowflake schema, Data Vault 2.0, dimensional modeling, slowly changing dimensions, bridge tables, fact table types, conformed dimensions, ERD creation…
adobe/skills
Scaffolds, implements, deploys and debugs Adobe Runtime actions in App Builder projects, with templates for webhooks, events, database CRUD, sequences and Asset Compute workers.
adobe/skills
Launches Chrome with an unpacked extension over CDP, opens its sidepanel, popup or options page, and hands over to cdp-connect for clicks, typing and screenshots.
adobe/skills
Extracts icons, metadata, text, forms, videos and social links from any web page with playwright-cli, with SVG icon classification and cleanup.
adobe/skills
Detect all languages used on a webpage — both declared (html@lang, hreflang alternate links, nested lang= attributes, meta content-language) and actually present in the body text (Google CLD3 via…
adobe/skills
Prepare any webpage for clean interaction by detecting and removing disruptive overlays (cookie banners, GDPR consent, modals, popups, newsletter signups, paywalls, login walls).
adobe/skills
Reduce a webpage to a structural skeleton with semantic tokens.
Works with
Categories
Use this when converting an AI-generated static HTML page (Stardust, Mobirise, Relume, Lovable, v0, Figma-derived, etc.) into an Edge Delivery Services page while preserving the original design and…. Snowflake is an agent skill from adobe/skills.) into an Edge Delivery Services page while preserving the original design and making content authorable in Document Authoring — triggers include "convert this page to EDS", "static-to-EDS overlay", "convert to EDS blocks", "next experimentation", "next run", "start run", or providing a source URL to make editable in DA.
Snowflake fits situations like: include convert this page to EDS; static-to-EDS overlay; convert to EDS blocks; Next experimentation.
Run `npx skills add adobe/skills --skill snowflake -a claude-code`. Or copy the skill folder (plugins/aem/edge-delivery-services/skills/snowflake in adobe/skills) into .claude/skills/snowflake in your project. Claude Code loads it when a task matches its description.
Run `npx skills add adobe/skills --skill snowflake -a codex`. Or copy the skill folder (plugins/aem/edge-delivery-services/skills/snowflake in adobe/skills) into .agents/skills/snowflake in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add adobe/skills --skill snowflake -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/snowflake, .gemini/skills/snowflake, .github/skills/snowflake and .opencode/skills/snowflake in your project.
Going by SKILL.md and its folder, Snowflake needs JavaScript for the scripts in its folder, the command-line tools its instructions call (git, node, curl, npx, jq and gh) and credentials named DA_TOKEN. Our summary lists: Node.js.
SKILL.md names 2 domains. In commands or code: admin.da.live and admin.hlx.page; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Snowflake is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.7k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Snowflake: Data Warehouse Experimentation (rampstackco/claude-skills, 935 stars), Caspian Discord (TryCaspian/caspian-sdk, 971 stars), Write Script Snowflake (windmill-labs/windmill, 18k stars) and Pure Lsp Execute Parallel (finos/legend-engine, 112 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
adobe (a GitHub organization) maintains it in adobe/skills, which has 195 GitHub stars. The repository holds 105 skills in this directory. The repository was last updated on October 6, 2026.
Source: adobe/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.