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insane0777/awwwards-skills116 installs

awwwards-setup

Use when the awwwards MCP server or its skills are invoked for the first time in a session or on a new machine — when no awwwards preferences exist yet, or the user asks to set up, configure, or change awwwards-mcp settings (result density, viewport, live captures, local index, winner watches). First-time onboarding asks the user a short set of preference questions, persists them to ~/.awwwards-mcp/preferences.json, and runs any one-time installs they opt into.

How do I install this agent skill?

npx skills add https://github.com/insane0777/awwwards-skills --skill awwwards-setup
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    This skill provides a guided setup and configuration workflow for the awwwards MCP server, including dependency installation and agent registration.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

What does this agent skill do?

Awwwards MCP Setup

First-time onboarding for the awwwards MCP server. Goal: before the first real search, know how this user wants results served, and have the optional heavy deps installed only if they'll be used. Every choice is persisted, no choice is re-asked.

Profile note: this skill's tools are search_sites, list_categories, get_annual_categories (plus get_annual_nominees / get_annual_nominee), new_winners, watch_site, capture_live_site, analyze_page_structure, record_site_motion, export_design_tokens, analyze_images and analyze_bundle. Examples below use 1.x names (default full). On AWWWARDS_MCP_PROFILE=v2, use search_references {request:{kind:"sites", ...}}, browse_awards {request:{kind:"filters"}}, browse_awards {request:{kind:"annual_categories"}} (also kind:"annual_nominees" and kind:"annual_nominee"), monitor_awards {request:{action:"poll_winners"}}, monitor_awards {request:{action:"add_watch", kind, pattern}}, monitor_awards {request:{action:"list_watches"}}, monitor_awards {request:{action:"remove_watch", kind, pattern}}, capture_page {request:{kind:"screenshot", url}}, inspect_page {request:{kind:"structure", url}}, capture_page {request:{kind:"recording", url}}, inspect_page {request:{kind:"tokens", url}}, audit_page {request:{kind:"images", url}} and audit_page {request:{kind:"bundle", url}}. With AWWWARDS_MCP_ATLAS=1, the full profile adds search_atlas, get_atlas, capture_atlas and export_evidence_pack, and v2 adds export_evidence_pack plus Atlas branches. See the awwwards-atlas skill. Full mapping: v2-routing.md.

0. Check for existing preferences

Read ~/.awwwards-mcp/preferences.json (cache dir may be relocated via AWWWARDS_CACHE_DIR — respect it if set). If the file exists and names the fields below, apply it silently and stop — do not re-onboard. If a field is missing, ask only about that field. If the file is absent, proceed.

0b. No MCP connected? Wire it first

Profile-blind detection: the server is unregistered only when no awwwards tools at all are available. A connected v2 session intentionally has no search_sites or list_categories; recognize it by search_references and/or get_index. A connected core session registers 13 tools and does not include list_categories, so do not require it. If any awwwards tool responds, skip to step 1.

When nothing is available, the server isn't registered with the agent yet — set it up before anything else. Detect the agent and use its add command (install one-time optional deps afterwards in step 1, no API key, no account, Node ≥ 22.13):

AgentCommand
Claude Codeclaude mcp add awwwards -- npx -y awwwards-mcp
Codex CLIcodex mcp add awwwards -- npx -y awwwards-mcp
OpenCode (opencode.json)"mcp": { "awwwards": { "type": "local", "command": ["npx", "-y", "awwwards-mcp"] } }
mcpServers-standard clients (Claude Desktop, Cursor, Windsurf, Gemini CLI, Cline, Continue)"mcpServers": { "awwwards": { "command": "npx", "args": ["-y", "awwwards-mcp"] } }

For pi (no MCP by design): install this skill into the agent's skill directory — pi gets the workflow; live data needs another agent or an MCP-supporting extension. After registering, the agent restart is needed before the tools appear — say so and stop; preferences (step 1) can be collected now and persisted so the restarted session lands running. Optional env additions: AWWWARDS_CACHE_DIR (custom cache location), AWWWARDS_AUTO_UPDATE=1 (background self-update on new releases), AWWWARDS_MCP_PROFILE=core|full|v2 (core registers only the 13 build-loop tools, including get_annual_categories; full exposes all 41 (45 with AWWWARDS_MCP_ATLAS=1); v2 registers 10 consolidated tools plus 5 retained tools with their existing names and flat inputs (create_design_brief, build_project, verify_build, verify_flow, analyze_network_capture), 16 with Atlas; only the 34 replaced 1.x names disappear; default full; changing it requires a server restart). AWWWARDS_MCP_ATLAS=1 is a separate opt-in flag for the experimental Atlas tools and CLI; it does not change core; see the awwwards-atlas skill. The old → new v2 mapping lives in v2-routing.md — do not mix 1.x names into a v2 session. AWWWARDS_MCP_MAX_RESPONSE_BYTES (default 32 MB; oversized results become a truncation JSON), AWWWARDS_MCP_DEBUG_MEMORY=1 (one stderr metrics line per tool call), and AWWWARDS_MCP_ATTACH=1 (allow read-only CDP attach for logged-in pages). The one-release legacy AWARDS_MCP_* spellings are accepted; canonical is AWWWARDS_MCP_*.

1. Ask the user (batched, all at once)

Present these as a single short questionnaire — the user should answer once, not endure four follow-ups. Offer a sensible default for each so "just use defaults" is a valid answer:

  1. Result density — When you search_sites, how should results look?

    • Full (default): every result gets its inline screenshot. Best for judging design at a glance; costs more context.
    • Compact: concise text cards, inline previews only for the top two results of the requested page. Best for broad exploration and long-running agents. This maps to the responseMode parameter: the chosen default is passed on every search unless the request says otherwise (screen-judging tasks should still use full). Store as "responseMode": "full" | "compact".
  2. Default viewport for live captures, structure analysis and motion records — "desktop" (1440×900, default) or "mobile" (390×844), or "both" for design work where the user says mobile matters. Store as "defaultViewport": "desktop" | "mobile" | "both".

  3. Live captures — Do you want fresh screenshots / structure band maps / motion recordings / design-token exports / image audits (capture_live_site, analyze_page_structure, record_site_motion, export_design_tokens, analyze_images)? They need the optional playwright + chromium install (~120 MB): npm install -g awwwards-mcp playwright ffmpeg-static && npm exec --global -- playwright install chromium Then switch this agent's awwwards registration from npx -y awwwards-mcp to the installed command (awwwards-mcp) in the same scope and restart, so the server and Playwright resolve from the same global install. If yes, run that install now (it is one-time, safe to re-run). If no, skip and note that the capture tools will error until installed. Store as "capturesEnabled": true | false. Optional extra for bundle forensics: npm install -g webcrack enables analyze_bundle's de-obfuscation/unpack mode; without it the tool still fetches, saves, and keyword-greps raw chunks.

  4. Local index — search_sites works immediately, but builds depth by polite live scraping (~31 sites per page). The local index (~4 minutes, resumable, then background-refreshed automatically) buys searches across thousands of sites instantly: npx -y -p awwwards-mcp awwwards-index (or npm run index in the awwwards-mcp checkout). Offer it; if accepted, run it in the background and continue — do not block onboarding. Store as "autoIndex": true | false.

  5. Winner watches — Do you want to track studios, tags or specific sites across sessions? If the user names any, register them (watch_site, action: "add", kind: studio|tag|url, one per entry, optional award and note), remind them the first watch_site list only seeds a baseline, and store nothing here (watches live in the server's own cache).

  6. Staying current (optional, no storage — just behavior): if the user does trend research, note that opening sessions with new_winners keeps the winner baseline fresh and feeds any watches.

Mention while onboarding: annual-awards questions run through the three get_annual_* tools, and search_sites' award filter extends past the daily winners to sotm/soty/nominees and the winner-category cuts (ecommerce, portfolio, product, typography, businessServices, noCode).

Persist the answers to the preferences file as one JSON object, creating ~/.awwwards-mcp/ if needed:

{
  "responseMode": "full",
  "defaultViewport": "desktop",
  "capturesEnabled": true,
  "autoIndex": true,
  "onboardedAt": "2026-09-28T00:00:00.000Z"
}

2. Verify the toolchain (no questions)

After answering preferences, sanity-check the setup in one pass:

  • Version drift: if the server printed an update notice (stderr) on boot, tell the user the newer version and how to pick it up (npx -y awwwards-mcp@latest or set AWWWARDS_AUTO_UPDATE=1 in the server env).
  • If capturesEnabled: a one-line confirmation that playwright resolved. If it fails, say the capture tools are disabled until npm exec --global -- playwright install chromium succeeds - do not retry in a loop.
  • If the cache dir looks broken (tool errors about SQLite or locks): route to the awwwards-doctor skill; do not delete anything.
  • If AWWWARDS_MCP_PROFILE=v2: probe the consolidated surface with get_index {request:{kind:"status"}} (zero network) or search_references {request:{kind:"sites", query:"portfolio"}} once the local index has rows. A 1.x tool name in a v2 session is a routing error, not a broken install — check v2-routing.md and restart after changing the profile.

3. Report and hand off

Close with a 2–3 line summary: the stored preferences, what was installed / started in the background, and the single next command the user's workflow starts with (usually search_sites — with the stored responseMode. Round the reporting off; this skill is setup, not a tutorial. The working methods live in awwwards-inspiration (research loop, winner feed, index ops), awwwards-motion-study (video reference study) and awwwards-doctor (repairs).

Changing settings later

If the user asks to change any of these ("make it compact", "capture on mobile"), update the preferences file and confirm in one line. Re-running this skill with existing preferences only asks about missing fields.

<!-- skill-memory:start --> <!-- skill-memory:end -->

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/insane0777/awwwards-skills/awwwards-setup">View awwwards-setup on skillZs</a>