ai-assist-design-creator
Reverse-engineer a website's visual design system from a URL and produce a fully spec-compliant DESIGN.md file (https://github.com/google-labs-code/design.md). The output includes both machine-readable YAML design tokens (colors, typography, spacing, rounded corners, components)
Profil de l’actif
Recherche et travail de connaissance
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scénario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Adéquation Agent
Claude Code + CLI + Codex
Compatible avec Codex, Claude Code, Cursor, CLI ou des Agents personnalisés.
Installer
Prêt
npx skills add jparkerweb/ai-assist-skills --skill ai-assist-design-creator
Maintenance
À jour
Mis à jour aujourd’hui
Risque
Revue nécessaire
La licence est ambiguë
Qualité GitHub
88
61/100 Qualité · 59/100 Confiance
Tags de couverture
Notes de revue
La licence est ambiguë · Dependency or permission surface needs review
Carte d’adoption Agent
Confiance, audit et préparation à l’installation en un coup d’œil
Ces scores combinent les métadonnées publiques du dépôt, les signaux de revue OpenAgentSkill, la fraîcheur de maintenance et la préparation à l’installation. Ils servent à présélectionner et ne remplacent pas la revue humaine.
Qualité
PrometteurUseful candidate, but compare it with alternatives before adopting.
Confiance
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Revue nécessaireRevue lisible par machine de la préparation à l’installation, des métadonnées de sécurité, de la maintenance et du risque d’adoption.
Trust Score OpenAgentSkill v5
Sandbox uniquement
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
88 stars GitHub
Activité du dépôt
88 stars et 12 forks
Maintenance
Mis à jour aujourd’hui
Licence
Inconnu
Installer
npx skills add jparkerweb/ai-assist-skills --skill ai-assist-design-creator
Sécurité d’installation
Chemin d’installation standard de package ou runtime
Surface de permissions
secrets or environment access, shell or command execution
Résultats Agent
Pas encore de données de résultats Agent
Documentation
Contexte README/SKILL.md solide
Résumé des risques
Revoir avant production
- Repository license is listed as 'Unknown' by GitHub; consider adding an explicit license to clarify usage rights.
- La licence est ambiguë
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
Préparation à l’installation
Chemin d’installation disponible
- Le chemin d’installation est disponible
- La preuve du dépôt est disponible
- La licence est ambiguë
- Pas encore de preuve de résultat Agent-Proven
Métadonnées lisibles par Agent
Données de décision lisibles par machine pour ce skill.
Utilisez ce bloc ou le JSON intégré pour décider si un Agent doit installer ce skill, choisir une alternative ou demander d’abord une revue humaine.
Tâches adaptées
- workflows RAG and knowledge
- Équipes Claude Code
- builders willing to evaluate younger projects
- Chunk documents
Agents adaptés
Décision d’installation
- Commande
- npx skills add jparkerweb/ai-assist-skills --skill ai-assist-design-creator
- Politique
- Bloquer
- Revue humaine
- Oui
Confiance et risque
- Confiance
- 51/100
- Audit
- 69/100
- Niveau de risque
- Revue nécessaire
Boucle de résultat
- Endpoint
- /api/agent/outcome
- ID d’événement
- resolve
- Résultats
- 5
Commande d’installation
npx skills add jparkerweb/ai-assist-skills --skill ai-assist-design-creatorNe pas utiliser quand
- Équipes qui nécessitent un SLA soutenu par le fournisseur
- production agents without a repository review
- Repository license is listed as 'Unknown' by GitHub; consider adding an explicit license to clarify usage rights.
- Indices de permissions à haut risque : Shell or command execution, Secrets or environment access
- La licence est ambiguë
Skill alternatif
Last30days Skill
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Skill alternatif
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DeepResearch
19.8K Stars
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Sécurité Agent v2
25/100 · Éviter l’installation automatique
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
Élevé
Exécution shell ou de commande
Les métadonnées de la skill font référence à des workflows de terminal, CLI, shell, sous-processus ou exécution de commande.
Moyen
Accès réseau
La skill récupère probablement des pages distantes, API, dépôts ou services externes.
Moyen
Accès au système de fichiers
La skill peut lire ou écrire des fichiers de projet, documents, artefacts générés ou l’état local de l’espace de travail.
Élevé
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
- Indices de permissions à haut risque : Shell or command execution, Secrets or environment access
- La licence est ambiguë
Cibles d’installation
Installer ce skill dans votre workflow Agent
Utilisez le point de terminaison public pour récupérer la commande, la checklist, les prompts et les liens canoniques.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install jparkerweb-ai-assist-design-creatorPlan de résolution Agent
Laissez un Agent vérifier la pertinence avant l’installation.
L’API Resolve renvoie la skill sélectionnée, des alternatives, la politique de sécurité, les notes d’audit, la cible d’installation et un prompt prêt à l’emploi.
Ouvrir JSON
/api/agent/resolve?task=Use%20ai-assist-design-creator%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Texte Resolve
/api/agent/resolve?task=Use%20ai-assist-design-creator%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Relais d’installation
/api/skills/jparkerweb-ai-assist-design-creator/install
L’Agent doit vérifier
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copier le prompt
Task: Use ai-assist-design-creator in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20ai-assist-design-creator%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/jparkerweb-ai-assist-design-creator/install
Install command: npx skills add jparkerweb/ai-assist-skills --skill ai-assist-design-creator
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Relais Agent
Donnez à l’Agent le chemin d’installation, pas un autre annuaire.
Utilisez le point de terminaison public pour récupérer la commande, la checklist, les prompts et les liens canoniques.
Relais d’installation
/api/skills/jparkerweb-ai-assist-design-creator/install
Format texte LLM
/api/skills/jparkerweb-ai-assist-design-creator/install?format=text
Trouver des alternatives
/api/skills/search?q=ai-assist-design-creator&limit=3
Prompt Agent
Use ai-assist-design-creator for this task. Review https://www.openagentskill.com/api/skills/jparkerweb-ai-assist-design-creator/install, then install with: npx skills add jparkerweb/ai-assist-skills --skill ai-assist-design-creatorMétadonnées Registry
Profil lisible par Agent pour la sélection automatique de skills.
L’API Registry fournit les signaux de décision, confiance, audit, cas d’usage et installation sans analyser l’interface.
Manifest
/api/registry/manifest/jparkerweb-ai-assist-design-creator
Texte LLM
/api/registry/manifest/jparkerweb-ai-assist-design-creator?format=text
Alias d’installation
/api/registry/install/jparkerweb-ai-assist-design-creator
Recommander
/api/registry/recommend?task=Use%20ai-assist-design-creator%20in%20an%20agent%20workflow&limit=3
Adéquation Agent
RAG and knowledge
Tags de cas d’usage
Plateformes
Claude Code
Rapport d’audit
Revue nécessaire · 69/100
Revue lisible par machine de la préparation à l’installation, des métadonnées de sécurité, de la maintenance et du risque d’adoption.
Panneau de décision Agent
Fallback candidate for RAG and knowledge
Prototype with this skill first; keep a fallback candidate ready.
Rôle dans la pile
Candidate de secours
Pertinence principale
RAG and knowledge
Libellé de confiance
Prototyper d’abord
Chemin d’installation
Commande prête
À utiliser lorsque
- workflows RAG and knowledge
- Équipes Claude Code
- builders willing to evaluate younger projects
Preuves
- recent repository activity
- install command or GitHub repo available
- profil qualité 61/100
- 3 événements OpenAgentSkill
revoir d’abord
- Repository license is listed as 'Unknown' by GitHub; consider adding an explicit license to clarify usage rights.
Chemin d’implémentation
- 1Installez-le dans un Agent en sandbox et exécutez une tâche de RAG and knowledge de bout en bout.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Profil de confiance
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Adoption GitHub
Vérifier88 stars GitHub
Activité stars/forks
Vérifier88 stars et 12 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
ValidéMis à jour aujourd’hui
Clarté de licence
VérifierInconnu
Signaux positifs
- Revue IA approuvée
- Le chemin d’installation est disponible
- La preuve du dépôt est disponible
- Dépôt maintenu récemment
- La commande d’installation ne présente aucun motif de haut risque évident
- La boucle de résultats est prête mais nécessite la première exécution réelle de l’Agent
Réviser avant installation
- Repository license is listed as 'Unknown' by GitHub; consider adding an explicit license to clarify usage rights.
- La licence est ambiguë
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 88 GitHub stars
- Stars/forks activity: 88 stars, 12 forks; issue activity unavailable in current metadata
- License clarity: Unknown
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Pas encore de rapports de résultats Agent réels
- Une revue humaine est requise avant une installation sans surveillance
Action recommandée
Choose a stronger alternative or inspect the source manually before any install attempt.
Profil qualité
Prometteur candidat pour les workflows Agent
Useful candidate, but compare it with alternatives before adopting.
Adéquation au workflow
Utilisez cette skill dans ces scénarios
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Parse messy files
Document processing
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Adéquation au workflow
Ajouter à un workflow complet
Scrape, clean, and reuse web data
Web data pipeline
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Liste d’alternatives
Comparer avant installation
Similar skills that may fit this task.
Last30days Skill
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DeepResearch
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Vue d’ensemble
--- name: ai-assist-design-creator description: "Reverse-engineer a website's visual design system from a URL and produce a fully spec-compliant DESIGN.md file (https://github.com/google-labs-code/design.md). The output includes both machine-readable YAML design tokens (colors, typography, spacing, rounded corners, components) and human-readable markdown rationale sections (Overview, Colors, Typography, Layout, Elevation & Depth, Shapes, Components, Do's and Don'ts). Use this skill whenever the user wants to generate a DESIGN.md, create a design system file from a website, capture a site's visual identity, extract design tokens, build a design spec from a URL, clone a site's look and feel, or scaffold a DESIGN.md from scratch. Also triggers on: 'design system from URL', 'generate DESIGN.md', 'extract colors from site', 'what are this site's design tokens', 'capture design from website'." argument-hint: "[URL of the site to reverse-engineer, or leave blank to be prompted]" ---
# DESIGN.md Creator
Reverse-engineer a website's visual design system and produce a fully spec-compliant `DESIGN.md` file following the [google-labs-code/design.md](https://github.com/google-labs-code/design.md) format.
## What this produces
A `DESIGN.md` file with two layers: 1. **YAML frontmatter** — machine-readable design tokens: colors, typography, spacing, rounded corners, components 2. **Markdown body** — human-readable rationale for each design decision, in 8 canonical sections
The output is ready for agents to consume immediately — no post-processing needed.
## Step 1: Get the URL
If the user provided a URL via `$ARGUMENTS`, use it. Otherwise ask:
> What website should I reverse-engineer? Provide the URL and I'll generate a DESIGN.md from its visual design. > > Optionally, also tell me: > - Where to save the file (default: `DESIGN.md` in the current directory) > - Whether this is a dark-mode or light-mode site (I'll detect this automatically if you don't know) > - Any specific components you want captured (buttons, cards, inputs, nav, etc.)
Wait for the URL before proceeding.
## Step 2: Fetch and analyze the site
Fetch the page and all significant visual signals:
1. **Fetch the main URL** — use whichever method your agent environment supports: - **`curl`** (works in any agent with shell access): `curl -sL --max-time 15 -A "Mozilla/5.0" "<URL>"` — captures raw HTML including `<style>` blocks and inline CSS - **`webfetch` tool** (if your agent provides it natively): use it directly for cleaner content extraction - If the initial fetch returns no CSS (JS-heavy SPA), also fetch the page's linked `.css` files: extract `<link rel="stylesheet" href="...">` URLs from the HTML, resolve each href to an absolute URL using the page's final URL after redirects (e.g., `/assets/app.css` → `https://example.com/assets/app.css`, `//cdn.example.com/app.css` → `https://cdn.example.com/app.css`), de-duplicate, then `curl` each one 2. **Identify key sub-pages** — if the site has a component library, style guide, or "About" page, fetch those too (up to 2–3 additional pages) to improve coverage 3. **Look for existing design system artifacts** — check for `/design-tokens.json`, `/tokens.json`, `tailwind.config.js`, or any design system links in the page source
What to extract from the fetched content:
| Signal | Where to look | |--------|--------------| | Brand colors | CSS variables (`--color-*`, `--primary`, etc.), inline styles, og:image colors, logo | | Typography | `font-family`, `font-size`, `font-weight`, `line-height`, `letter-spacing` in CSS | | Spacing scale | `--spacing-*`, padding/margin patterns, grid gutter values | | Corner radii | `border-radius` values across buttons, cards, inputs | | Elevation | `box-shadow`, `backdrop-filter`, `z-index` layering patterns | | Component styles | Button, card, input, nav, badge styles from class names or CSS | | Design personality | Logo, imagery, copy tone, overall layout density |
> **Note:** You're inferring from observed CSS/HTML. Be honest about what you can directly observe vs. what you're inferring from visual patterns. Dark-mode sites typically have low-luminance surface colors and high-contrast text; light-mode sites are the inverse. When you can't determine an exact hex value, make a design-coherent choice and note it in the prose.
## Step 3: Build the DESIGN.md
Read `references/design-md-spec.md` for the complete token schema and section rules.
### Token extraction rules
**Colors** — Extract the site's full color role set. At minimum: - `primary` — main brand/action color - `secondary` — supporting accent or secondary brand color - `neutral` / `surface` — background/surface color - `on-primary`, `on-surface` — text colors on those surfaces - Include semantic colors if detectable: `error`, `warning`, `success` - Name tokens semantically (`primary`, `secondary`, `tertiary`, `neutral`) or use Material Design role names if the site uses a Material-style palette
**Typography** — Identify the main type scale. Typically 5–12 levels: - Display/headline levels (large, impactful headings) - Body levels (body-lg, body-md, body-sm) - Label levels (captions, tags, small UI text) - Include all detectable properties: `fontFamily`, `fontSize`, `fontWeight`, `lineHeight`, `letterSpacing` - Dimensions must include units: `px`, `em`, or `rem`
**Spacing** — Extract the spacing scale. Common pattern: a base unit (4px or 8px) with named steps: `xs`, `sm`, `md`, `lg`, `xl`. Also include layout-specific values like `gutter`, `margin`, `container-max`.
**Rounded** — Extract corner radius values. Name them: `sm`, `DEFAULT`, `md`, `lg`, `xl`, `full` (for pill shapes).
**Components** — Capture 4–8 key components. For each, include as many valid properties as observed: `backgroundColor`, `textColor`, `typography` (token ref), `rounded` (token ref), `padding`, `height`, `width`. Use token references like `{colors.primary}` instead of hardcoded hex values wherever possible. Include hover variants as separate entries (e.g., `button-primary-hover`).
### Sections to write
Write all 8 sections in canonical order. Each section combines YAML tokens (defined in frontmatter) with prose rationale. For sections where tokens aren't applicable (Elevation, Shapes, Do's and Don'ts), write prose only.
1. **Overview** — Brand personality, target audience, emotional tone, design style (flat, glassmorphism, neumorphism, material, etc.), key design decisions. 2–4 sentences that give a coherent aesthetic picture.
2. **Colors** — Describe the role of each color palette entry. What does each color *mean* in the design? When is it used? Reference the token names.
3. **Typography** — Describe the font strategy: which typefaces, why they were chosen, how the scale is organized, any special treatments (tight tracking on headlines, text-shadow on dark backgrounds, etc.).
4. **Layout** — Grid system (fluid, fixed, 12-column?), spacing philosophy (8px grid, dense vs. airy), max-width, container strategy.
5. **Elevation & Depth** — How visual hierarchy is communicated: shadows, tonal layers, glassmorphism, borders, z-axis layering. If flat design, describe what replaces shadows.
6. **Shapes** — Corner radius philosophy: sharp/technical, soft/organic, fully rounded pills, mixed. Which components use which radius.
7. **Components** — Walk through the key component tokens and explain the design rationale for each group (action elements, containers, inputs, typography application).
8. **Do's and Don'ts** — 3–5 concrete rules for maintaining design consistency. Things like "always use `{colors.primary}` for CTAs, never `{colors.secondary}`" or "never use pure black (#000000) for text — use `on-surface`".
### YAML frontmatter structure
```yaml --- name: <Site/Brand Name> description: <optional one-line brand tagline> colors: primary: "#XXXXXX" ... typography: headline-lg: fontFamily: <font> fontSize: <Npx> fontWeight: <number> lineHeight: <1.2 or 24px> letterSpacing: <-0.02em or 1px> ... rounded: sm: <Npx or Nrem> ... spacing: base: <Npx> ... components: button-primary: backgroundColor: "{colors.primary}" ... ... --- ```
## Step 4: Validate and save
After generating the content:
1. **Self-check** these things before writing the file: - All token references (`{path.to.token}`) resolve to a defined token - Color values start with `#` followed by 6 hex digits - All dimension values have units (`px`, `em`, `rem`) — no bare numbers except: font weights, unitless line-height multipliers, and `spacing` values (which may be unitless ratios or column counts per the spec) - Section order matches the canonical order (Overview → Colors → Typography → Layout → Elevation & Depth → Shapes → Components → Do's and Don'ts) - Component properties: canonical keys (`backgroundColor`, `textColor`, `typography`, `rounded`, `padding`, `size`, `height`, `width`) pass the linter silently; unknown keys are accepted by the spec but will produce a linter warning — flag them in the confidence notes
2. **Check for an existing file** at the target path before writing: - If `DESIGN.md` (or the user-specified path) already exists, warn the user: "A `DESIGN.md` already exists at this path. Overwrite, save as `DESIGN-<site-name>.md`, or cancel?" Wait for their choice before writing. - If no file exists, proceed directly.
3. **Save the file** as `DESIGN.md` in the current working directory (or the path the user specified).
4. **Tell the user** what was generated:
> `DESIGN.md` saved. > > **Design system:** [Name] > **Style:** [e.g., Glassmorphism / Flat / Material / Custom] > **Colors:** [N tokens] — [brief palette description] > **Typography:** [N levels] — [font family names] > **Components:** [list of captured components] > > **Confidence notes:** > - [Any values that were inferred rather than directly observed] > - [Any sections that had limited CSS data and required design judgment] > > Want me to refine any section, add more components, or lint the file with `npx @google/design.md lint DESIGN.md`?
## Recovery
| Situation | How to handle | |-----------|--------------| | `webfetch` not available | Fall back to `curl -sL --max-time 15 -A "Mozilla/5.0" "<URL>"` — available in any agent with shell access | | Site blocks fetch (403/429) | Ask user to paste relevant CSS, screenshot, or describe the design manually | | JS-heavy SPA with no inline CSS | Fetch the JS bundle URL if visible; also try fetching linked `.css` files directly; ask user for computed styles or a screenshot as a last resort | | Can't determine exact hex values | Make design-coherent color choices; note them as "inferred" in prose and confidence notes | | Site uses a known design system (Material, Ant, Chakra, Tailwind UI) | Note this in the Overview — tokens will align with that system's defaults | | No typography found | Default to system fonts (Inter, -apple-system) and note it | | User wants lint | Run `npx @google/design.md lint DESIGN.md` and surface any errors/warnings |
## Rules
- Never fabricate specific brand hex values with false certainty — if you inferred a color, say so - All token cross-references must point to defined tokens — no dangling refs - Dimensions must always have units (exception: unitless `lineHeight` multipliers like `1.5` are valid) - The YAML frontmatter is normative; prose is explanatory context — don't contradict one with the other - Output goes in the current working directory as `DESIGN.md` unless the user specifies otherwise - If a section has genuinely no applicable content (e.g., a flat design with no elevation), include it briefly and explain: "This design system uses flat tonal layering rather than shadows — see Colors for the tonal surface stack"
Détails techniques
- Version
- 1.0.0
- Licence
- Unknown
- Dernière mise à jour
- 23 août 2026
- Publié
- 21 août 2026
Instantané de décision
Candidate de secours
recent repository activity
Audit
Revue d’installation
Revue d’installation et d’adoption
- Sécurité
- 62/100
- Maintenance
- 100/100
- Installer
- 92/100
Preuves validées par Agent
Preuves validées par Agent
Rapports après resolve, revue, installation et une exécution limitée.
- Taux de réussite
- —
- Échec récent
- —
- Résultats
- 0
- Qualité de sortie
- —
- Échecs
- 0
- Non pertinent
- 0
- Installations
- 0
- Bloqué par le risque
- 0
- Configuration requise
- 0
- Production
- 0
Aucune donnée de résultat Agent pour l’instant. La première exécution peut signaler succès, besoin de configuration, blocage de risque, échec ou non-pertinence via /api/agent/outcome.
Installer
Ajouter au workflow Agent
Gratuit et open source. Examinez le rapport avant l’installation dans des Agents de production.
Boucle de croissance
Kit de partage
Brouillon guidé par scénario pour ai-assist-design-creator, prêt pour une publication manuelle sur X.
ai-assist-design-creator: Reverse-engineer a website's visual design system from a URL and produce a fully spec-complia... 88 stars https://www.openagentskill.com/skills/jparkerweb-ai-assist-design-creator?ref=x
Réponse facultative avec commande d’installation
Listing + install path for ai-assist-design-creator: https://www.openagentskill.com/skills/jparkerweb-ai-assist-design-creator?ref=x Install: npx skills add jparkerweb/ai-assist-skills --skill ai-assist-design-creator
Source de la fiche
Indexé par Registry
Cette fiche a été indexée à partir de sources publiques et n’est pas marquée officielle tant qu’une revendication de mainteneur n’est pas approuvée.
- Créateur
- jparkerweb
- Indexé par
- Index communautaire OpenAgentSkill
L’attribution renvoie au dépôt public ou au profil du créateur. Les créateurs peuvent revendiquer la fiche pour mettre à jour les signaux de propriété.
Revendiquer ce skillRevendication du propriétaire
Revendiquer cette fiche de skill
Cette fiche Indexé par Registry est attribuée à jparkerweb, mais n’est pas encore marquée officielle. Revendiquez-la pour ajouter un signal de propriétaire vérifié et rendre les futures mises à jour de lancement, d’installation et d’audit plus fiables.
Kit de backlinks créateur
Ajoutez les badges de preuve à votre README
Affichez la fiche canonique, les signaux actuels de confiance et d’audit, ainsi que de vraies preuves Agent-Proven là où les développeurs évaluent le dépôt.
[](https://www.openagentskill.com/skills/jparkerweb-ai-assist-design-creator)
[](https://www.openagentskill.com/skills/jparkerweb-ai-assist-design-creator)
[](https://www.openagentskill.com/skills/jparkerweb-ai-assist-design-creator/audit)
[](https://www.openagentskill.com/skills/jparkerweb-ai-assist-design-creator)Auteur
jparkerweb
@jparkerweb
Tags
Adéquation plateforme
Signaux de santé
- Stars GitHub
- 88
- Score de qualité
- 37/100
- Dernier push GitHub
- 22 août 2026
- Indications de framework
- Inconnu
- Vues OpenAgentSkill
- 3
- Copies d’installation
- 0
- Clics sortants
- 0
Signal de communauté
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Confiance et sécurité
Do not auto-install
- Adoption GitHub88 stars GitHubVérifier
- Activité stars/forks88 stars et 12 forks; l’activité des issues n’est pas disponible dans les métadonnées actuellesVérifier
- Maintenance récenteMis à jour aujourd’huiValidé
- Clarté de licenceInconnuVérifier
- Complétude README/SKILL.mdLes métadonnées incluent suffisamment de contexte d’usage et de workflowValidé
- Risque dépendances/runtimecommand execution surface, credential or environment accessCorriger
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