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Awwwards Doctor

Community
INSANE0777
awwwards-doctor

Use when awwwards-mcp scraping or tools stop working — BlockedError, "layout may have changed" parser errors, empty results, failed captures, stale searches — or when the user reports the MCP behaving oddly. Guides running the doctor/drift/index scripts, applying their fixes, re-anchoring parsers after real awwwards.com drift, and recovering the in-flight task that surfaced the failure.

Overview

PublisherINSANE0777
RepositoryAwwwards-mcp
Skill nameawwwards-doctor
Stars
355
Forks
18
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by INSANE0777 on GitHub. Read the source before you install it.

Installation

Install the Awwwards Doctor AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/INSANE0777/Awwwards-mcp/tree/main/skills/awwwards-doctor
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/INSANE0777/Awwwards-mcp.git /tmp/Awwwards-mcp
mkdir -p .claude/skills
cp -r /tmp/Awwwards-mcp/skills/awwwards-doctor .claude/skills/awwwards-doctor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Awwwards Doctor in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Awwwards Doctor on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Awwwards Doctor is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Awwwards MCP Doctor

You are repairing the awwwards-mcp toolchain or working around it mid-task. Work in this order: diagnose → fix mechanically → fix parsers (if drift) → recover the user's task. Never delete user data; the only destructive step (cache DB moved aside) preserves the old file in the OS temp dir.

1. Run the doctor (repo checkout)

bash
npm run doctor             # diagnose only
npm run doctor -- --fix    # diagnose AND apply available fixes
npm run doctor -- --json   # machine-readable report

The doctor checks five things and knows how to fix the mechanical ones:

CheckFailure meaningWhat --fix does
networkawwwards.com blocked/challenged the requestnothing to fix locally — wait, retry later; never retry in a loop
parser-driftawwwards.com markup changed under the parserscaptures the raw live page into docs/drift-<timestamp>/ (gitignored) as the fixture for the fix
playwright-chromium / ffmpeg-staticoptional capture deps missing or brokeninstalls them (dev deps + npx playwright install chromium)
cacheSQLite DB corrupt/locked, or index older than 30 daysmoves an unreadable DB aside (kept in temp) and rebuilds via npm run index
bootdist/cli.js doesn't startnpm run build

Re-run the doctor after fixing; the verdict must be HEALTHY before you claim the MCP is repaired.

2. Fixing real parser drift (the only code-level failure)

If the doctor reports parser-drift, the anchor probes say which parser broke. Repair sequence — keep it mechanical, verify at each step:

  1. Capture the evidence: the --fix snapshot in docs/drift-*/ IS the new truth. (The daily GitHub Action also opens/updates a parser-drift tracking issue with the drifted anchor names.)
  2. Locate the new anchors: open the captured HTML and find the markup that replaced the old anchor (search the old anchor's purpose, e.g. the card JSON blob, the Elements section heading, the og:image meta).
  3. Re-anchor the parsers in src/parsers.ts — change the minimum needed (one split/indexOf/regex literal), not the surrounding logic.
  4. Update the probe list in scripts/parser-drift-probe.mjs (PROBE_GROUPS) so the same failure is detectable next time.
  5. Refresh the fixture: download the live page with the same UA the client uses and replace test/fixtures/listing.html (or the detail fixture). The offline tests run against fixtures only — a refreshed fixture proves the re-anchor against reality.
  6. npm run typecheck && npm test — all tests must pass.
  7. Commit as fix: re-anchor <parser> after awwwards.com markup change, reference the tracking issue.

Note: the annual-award tools (get_annual_*) come from the official JSON API (src/annual.ts), not the parsers, and the expanded award-cut listings (sites_of_the_month/year, nominees, winner_category_*) have their own trimmed fixtures under test/fixtures/awards/ — refresh those when their anchors drift, alongside the daily listing's.

3. End users (installed via npm, not a repo checkout)

The doctor scripts live in the repo, so for an npm-installed server:

  1. Check the version notice: stderr at startup prints when a newer awwwards-mcp exists. Update with npm install -g awwwards-mcp@latest (or clear the npx cache) and restart the agent — a surprising share of "broken" reports are old parsers fixed in a newer release. AWWWARDS_AUTO_UPDATE=1 in the MCP server env opts into background self-update on startup.
  2. Reset local state: rm -rf ~/.awwwards-mcp is safe (cache + index + version-check state rebuild automatically; nothing user-authored lives there).
  3. If it still fails, it's upstream (block or drift): open an issue at the awwwards-mcp repo attaching the raw HTML of the failing URL.

4. Recovering the in-flight task (the reason you noticed)

The user's build/research doesn't wait for the repair. Degrade gracefully:

  • Stale cache is your friend: search_sites/get_site_details serve cached data when live fetches fail — say so in the reply ("7-day-old cached data").
  • BlockedError means stop, not retry: the client never retries through blocks; tell the user and continue with cached/alternate data.
  • Capture tools down (playwright missing): fall back to get_site_details screenshots (CDN-served, no browser needed) until npm run doctor -- --fix restores chromium.
  • Parser drift mid-task: results may be partially empty (e.g. details without palette). Surface which part is missing; don't silently present degraded data as complete.
  • After the MCP is healthy again, re-run the failed calls and reconcile with whatever the fallback produced.

Close the flywheel

Repairs are the highest-value lessons — they were expensive to learn. After a successful diagnosis + fix: node scripts/skill-memory.mjs record --skill awwwards-doctor --phase repair --symptom "..." --rule "..." [--evidence <report path>]. Distill folds recurring failure signatures into this installed copy so the next repair starts knowing them. When a rule proves out, promote --skill awwwards-doctor outputs it cleaned (no machine-local evidence paths) for the shipped-copy PR.

Anti-patterns

  • Retrying blocked requests in a loop — politeness rules and block detection exist precisely so this doesn't hammer awwwards.com.
  • Diffing raw HTML to detect drift — cosmetic page changes would false-alarm daily; only parser-anchor probes matter.
  • "Fixing" parsers by loosening them to return empty results quietly — a parse that can't find its anchors must error loudly (that is the drift signal).
  • Treating the doctor's UNHEALTHY verdict as done because one check passed.

Frequently asked questions

What does the Awwwards Doctor AI skill do?

Use when awwwards-mcp scraping or tools stop working — BlockedError, "layout may have changed" parser errors, empty results, failed captures, stale searches — or when the user reports the MCP behaving oddly. Guides running the doctor/drift/index scripts, applying their fixes, re-anchoring parsers after real awwwards.com drift, and recovering the in-flight task that surfaced the failure.

Why use Awwwards Doctor on TypingMind?

Because you install it once and use it with any model. Awwwards Doctor is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Awwwards Doctor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/INSANE0777/Awwwards-mcp/tree/main/skills/awwwards-doctor. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Awwwards Doctor?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Awwwards Doctor?

As many as you like. As long as a model supports skills, you can use Awwwards Doctor with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Awwwards Doctor AI skill free?

Yes. It is published on GitHub by INSANE0777 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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