Improve Existing Website logo

Improve Existing Website

Organization
KyaniteLabs
improve-existing-website

Use when improving an existing website or codebase while retaining its recognizable identity, especially when evidence, scope, or redesign approval is uncertain.

Overview

PublisherKyaniteLabs
Repositorytastecheck
Skill nameimprove-existing-website
Stars
10
Forks
7
Bundled files
9
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.

  • 9 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Improve Existing Website 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/KyaniteLabs/tastecheck/tree/main/skills/improve-existing-website
  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/KyaniteLabs/tastecheck.git /tmp/tastecheck
mkdir -p .claude/skills
cp -r /tmp/tastecheck/skills/improve-existing-website .claude/skills/improve-existing-website
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Improve Existing Website 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 Improve Existing Website 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 Improve Existing Website 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.

Improve Existing Website

Improve what is weak without sanding away identity. Existing work contains signal and drift; evidence decides which is which.

1. Inspect the product people actually use

Open the rendered priority path before prescribing. Trace entry, decision, action, and recovery at wide/narrow widths. Inspect hierarchy, tokens, repeated components, content, supplied analytics/user evidence, and business cues.

Label what you can point to EVIDENCE and interpretations INFERRED. “The primary action changes label across three screens” is direct; “the brand values warmth” is inferred unless brief/product evidence says so.

Done when: priority path, recurring choices, and highest-cost failures are observable.

2. Separate identity from drift

Record signals worth preserving: distinctive type, color relationships, interaction patterns, voice, layout logic, or recognizable assets. Classify each change:

ClassMeaningAuthority
Preservecoherent, repeated, brief-supported identityrepair defects without replacing the signal
Normalizeaccidental variation against an established patternsafe to align when evidence is strong
Approval neededa new hierarchy, palette, voice, or material redesignshow the choice and wait for owner agreement

Use references/signal-vs-drift.md when repetition, age, or inconsistency could be intentional. Age alone is not drift evidence.

Done when: every proposed change names what survives and why it is authorized.

3. Form the smallest coherent direction

Complete assets/INFERRED-SYSTEM.template.md across audience, territory, type, color, layout, components, voice, and accessibility. Score readiness with references/inspection-state-machine.md. Ask only questions that change the safe direction; otherwise state inference and evidence.

Do not solve a system problem with isolated polish. Choose a narrow vertical slice proving the direction across a real path (navigation, content section, form/state, narrow layout) before propagating it.

Done when: the direction can be approved, rejected, or resumed without reconstructing the investigation.

4. Approve, repair, and verify

For each repair, record observed failure, preserved signal, smallest coherent edit, owner/ approval source, and proof. After approval, use references/repair-handoffs.md for specialist passes. Verify the same path/viewports; comparison must show defect changed and signal survived.

If work pauses, save current state, unresolved question, evidence, and exact next decision using references/inspection-state-machine.md. Resume from that checkpoint, not a fresh opinion.

Done when: report distinguishes repaired drift, preserved identity, browser/static proof, and deliberately deferred ambiguity.

Reference files

  • references/audit-procedure.md — extraction order.
  • references/signal-vs-drift.md — identity versus accident.
  • references/decision-records.md — scope ADR rules.
  • references/inspection-state-machine.md — readiness/approval.
  • assets/improve-checklist.md — completion ledger.
  • references/repair-handoffs.md — routing/skip rules.
  • references/interview-contract.generated.md — canonical authority.

Self-check

assets/improve-checklist.md is completion authority for inspection, labels, approval, handoffs, and evidence.

Contract (generated)

Canonical detail: contract.json.

  • Route: An existing site or codebase needs improvement while preserving its intended identity (+1 in contract.json); avoid: A greenfield project needs direction before anything exists to inspect (+1 in contract.json)
  • Exclude: Do not prescribe or edit before inspecting evidence (+1 in contract.json)
  • Stop / handoff: Pause when evidence is insufficient for a safe inference (+2 in contract.json); receives [none] -> sends [a11y-pass, art-direction, cognitive-a11y, color-system, component-states, data-viz, deslop-ui, empty-states, humanize-copy, i18n-ready, responsive-layout, spacing-system, tasteroll, theming, web-typography]
  • Output: An evidence-labelled inferred system, readiness decision, and scoped repair plan or implementation report
  • Evidence: table_with_evidence with status, reason, remediation, evidence, provenance.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Improve Existing Website AI skill do?

Use when improving an existing website or codebase while retaining its recognizable identity, especially when evidence, scope, or redesign approval is uncertain.

Why use Improve Existing Website on TypingMind?

Because you install it once and use it with any model. Improve Existing Website 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 Improve Existing Website in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/KyaniteLabs/tastecheck/tree/main/skills/improve-existing-website. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Improve Existing Website?

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 Improve Existing Website?

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

Is the Improve Existing Website AI skill free?

Yes. It is published on GitHub by KyaniteLabs 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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