ai-assist-prototype
Build self-contained, double-click-to-open HTML prototypes so the user can vet an interface before it gets built. One file holds several structurally different variants of a page, app screen, component, flow, or terminal/TUI layout (rendered in-browser), plus a draggable Design D
Profil de l’actif
Design et production créative
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scénario
Design et créativité
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Adéquation Agent
Claude Code + Cursor + Browser agents
Compatible avec Codex, Claude Code, Cursor, CLI ou des Agents personnalisés.
Installer
Prêt
npx skills add jparkerweb/ai-assist-skills --skill ai-assist-prototype
Maintenance
À jour
1 jours depuis le dernier push
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
Revue humaine avant installation
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
1 jours depuis le dernier push
Licence
Inconnu
Installer
npx skills add jparkerweb/ai-assist-skills --skill ai-assist-prototype
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 unknown (GitHub detected 'Unknown'), which creates legal ambiguity for users and contributors.
- Financial research output is not financial advice; require human review before any live investment decision.
- La licence est ambiguë
- Quality score needs review
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 Browser automation
- Équipes Claude Code
- builders willing to evaluate younger projects
- Navigate pages
Agents adaptés
Décision d’installation
- Commande
- npx skills add jparkerweb/ai-assist-skills --skill ai-assist-prototype
- 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-prototypeNe pas utiliser quand
- Équipes qui nécessitent un SLA soutenu par le fournisseur
- production agents without a repository review
- Repository license is unknown (GitHub detected 'Unknown'), which creates legal ambiguity for users and contributors.
- Indices de permissions à haut risque : Shell or command execution, Secrets or environment access
- La licence est ambiguë
Skill alternatif
Frontend Design
171.1K Stars
npx skills add anthropics/skills --skill frontend-design
Skill alternatif
Taste Skill: Anti-Slop Frontend
79.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Skill alternatif
Canvas Design
171.1K Stars
npx skills add anthropics/skills --skill canvas-design
Skill alternatif
Anthropic Brand Guidelines
171.1K Stars
npx skills add anthropics/skills --skill brand-guidelines
Sécurité Agent v2
21/100 · 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
Browser automation
Skill may drive a browser or interact with web pages.
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.
- 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-prototypePlan 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-prototype%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Texte Resolve
/api/agent/resolve?task=Use%20ai-assist-prototype%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Relais d’installation
/api/skills/jparkerweb-ai-assist-prototype/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-prototype in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20ai-assist-prototype%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/jparkerweb-ai-assist-prototype/install
Install command: npx skills add jparkerweb/ai-assist-skills --skill ai-assist-prototype
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-prototype/install
Format texte LLM
/api/skills/jparkerweb-ai-assist-prototype/install?format=text
Trouver des alternatives
/api/skills/search?q=ai-assist-prototype&limit=3
Prompt Agent
Use ai-assist-prototype for this task. Review https://www.openagentskill.com/api/skills/jparkerweb-ai-assist-prototype/install, then install with: npx skills add jparkerweb/ai-assist-skills --skill ai-assist-prototypeMétadonnées 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-prototype
Texte LLM
/api/registry/manifest/jparkerweb-ai-assist-prototype?format=text
Alias d’installation
/api/registry/install/jparkerweb-ai-assist-prototype
Recommander
/api/registry/recommend?task=Use%20ai-assist-prototype%20in%20an%20agent%20workflow&limit=3
Adéquation Agent
Browser automation
Tags de cas d’usage
Plateformes
Claude Code, Cursor, Browser agents
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 Browser automation
Prototype with this skill first; keep a fallback candidate ready.
Rôle dans la pile
Candidate de secours
Pertinence principale
Browser automation
Libellé de confiance
Prototyper d’abord
Chemin d’installation
Commande prête
À utiliser lorsque
- workflows Browser automation
- 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 unknown (GitHub detected 'Unknown'), which creates legal ambiguity for users and contributors.
Chemin d’implémentation
- 1Installez-le dans un Agent en sandbox et exécutez une tâche de Browser automation 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
Validé1 jours depuis le dernier push
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 unknown (GitHub detected 'Unknown'), which creates legal ambiguity for users and contributors.
- Financial research output is not financial advice; require human review before any live investment decision.
- 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
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Operate local tools
Local desktop
I need my agent to operate local files and desktop apps in a repeatable workflow.
Automate repeated work
Workflow automation
I need my agent to automate a repeated workflow across tools and files.
Adéquation au workflow
Ajouter à un workflow complet
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Design, build, test, and ship interfaces
Frontend and UI
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
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.
Liste d’alternatives
Comparer avant installation
Similar skills that may fit this task.
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Taste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Canvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Anthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
Vue d’ensemble
--- name: ai-assist-prototype description: "Build self-contained, double-click-to-open HTML prototypes so the user can vet an interface before it gets built. One file holds several structurally different variants of a page, app screen, component, flow, or terminal/TUI layout (rendered in-browser), plus a draggable Design Deck for flipping between variants, tuning fonts, colors, spacing, shape, motion and 'feel' with live dials, trying vibe presets, checking viewport sizes and light/dark, pinning comments on elements, and an 'Export to LLM' button that copies the chosen variant and every dial value as a handoff block to paste back to the agent. Use this whenever the user wants to prototype, mock up, wireframe, explore options for, or sanity-check a UI (landing page, dashboard, settings page, onboarding, form, mobile screen, component, CLI/TUI layout), or says 'what should this look like', 'show me a few options', 'let me tweak it before we build', 'vet the design'. Also use it when the user pastes a block starting with 'AI-ASSIST PROTOTYPE HANDOFF': that is this skill's export and tells you which variant and settings they chose. Triggers on: prototype, mockup, wireframe, design options, variations, vet the UI, tweak the look, TUI mockup, design handoff." argument-hint: "[what to prototype, e.g. 'settings page, 3 variants' | or paste an AI-ASSIST PROTOTYPE HANDOFF block]" ---
# Prototype
Build a throwaway-but-polished prototype the user can open by double-clicking, explore, tune, and hand back to you with a structured export. The spine is: **brief → plan variants → build one file → verify → hand over → receive the handoff → iterate or implement.**
Three ideas make this useful rather than another mockup generator:
- **Variants explore structure, dials explore feel.** Variants differ in layout, information hierarchy and primary affordance. Colors, fonts, spacing, radius, elevation and motion are live dials that work on every variant, so never spend a variant on a recolor. - **One self-contained file.** No server, no build, no dependencies, no account. It survives being emailed to a PM or designer, who can tune it and export their decision without you in the room. - **The export closes the loop.** "Export to LLM" copies a handoff block (chosen variant, changed dials, notes, pinned comments, resolved CSS variables). The user pastes it back; you read it and either iterate or implement the real thing.
## Modes: detect from the input
| Input | Mode | |---|---| | A brief, a feature, a page, "what should this look like", "show me options" | **Build** (this is the bullseye) | | "add a variant", "make B denser", "tweak the prototype", an existing `prototypes/*.html` mentioned | **Iterate** | | A pasted block starting with `AI-ASSIST PROTOTYPE HANDOFF` or JSON with `"schema": "ai-assist-prototype/handoff@1"` | **Receive** (see "Receiving a handoff") |
## What you produce
- `prototypes/<slug>.parts.html`: the source you author. A JSON manifest plus one `<template data-variant="…">` per variant. Small, readable, diffable. - `prototypes/<slug>.html`: the deliverable, assembled by `scripts/build-prototype.mjs` from the parts file and the harness in `assets/template.html`. Never hand-copy or retype the harness; it is large and must stay intact.
Default location is `prototypes/` at the project root (create it). Put it next to the feature instead if the repo clearly organizes design artifacts elsewhere, and follow an explicit user path over either.
The built file contains the **Design Deck**, a draggable floating panel that:
- flips between variants (◀ ▶, or ← → keys), and between screens inside a variant when the variant declares them - offers vibe presets (Neutral, Calm, Bold, Editorial, Playful, Technical, Midnight, Mono, plus any you add) and ~25 dials: Feel macros (warmth, energy), Type (display/body fonts from a curated Google Fonts list, base size, scale, line height, tracking, weights), Color (light/dark, accent hue/sat/light, secondary hue shift, neutral hue/tint, surface depth, contrast), Shape (radius, border, elevation), Space (density, container width), Motion, and any custom controls the manifest adds - previews at Fit / 390 / 820 / 1280 / 1536 widths (each variant is its own document, so real media queries respond) - collects notes and click-to-pin comments on elements, saves snapshots to compare looks, and persists everything in `localStorage` per prototype - **Export to LLM** copies the handoff block; JSON copies only the JSON; View shows it for manual copy when the clipboard is blocked
TUI prototypes use the same file and deck with a terminal-specific dial set (theme, font, columns/rows, border glyphs, cursor, CRT scanlines).
## Step 1: Get the brief (fast)
Pin these down, from `$ARGUMENTS`, the conversation, and the repo, before planning:
- **Subject and audience**: what is being designed, for whom, and the one job the screen has. - **The design question**: what the prototype should settle ("table or cards?", "wizard or single form?", "does the sidebar earn its space?"). The export carries this brief, so write it as a real sentence. - **Kind**: `web` by default; `tui` when the subject is a terminal/CLI tool (ncurses, Ink, Bubble Tea, Textual, ratatui, a curses dashboard, a CLI wizard). - **Variant count**: default 3, cap 5. Fewer when the question is narrow, never more than five (they stop being different and start being noise). - **Where to save**: default `prototypes/<slug>` as above.
Look around the repo for things that make the prototype feel like *their* product rather than a generic page: a `DESIGN.md` (the `ai-assist-design-creator` output), `tailwind.config.*`, CSS custom properties, an existing nav/header, brand name, real entity names and data shapes, existing copy. Seed the manifest `defaults` and a brand preset from them and use the real content. Say what you reused.
Ask at most one or two questions, and only ones whose answer changes the work (for example, which existing page hosts this, or web vs TUI when genuinely ambiguous). If the user is not around, state your assumptions in the plan and build anyway; a prototype that exists is easy to redirect, a questionnaire is not.
## Step 2: Plan the variants
Read `references/variant-playbook.md` for archetype menus per surface type, content rules, the quality floor and the self-critique checklist. Then write a compact plan:
| id | name | thesis (what this variant bets on) | structure in one line | |---|---|---|---| | `ledger` | Ledger | Power users scan; a dense table beats cards | top nav, KPI strip, full-width table, detail screen | | `beds` | Garden beds | Spatial grouping mirrors the real garden | sidebar of beds, card grid, detail screen | | `journal` | Journal | One thing at a time, phone-first | single column feed, sticky primary action |
Hold the set to a structural-diversity test: if two variants would look alike with the same preset applied, one of them is a recolor, so redo it with an explicit structural constraint ("no card grid", "no sidebar", "list + detail"). Decide up front which screens a variant needs (usually a main screen and one drill-in), which custom controls earn a dial (sidebar width, density of a specific table, a chart style: things a dial can express and the user will actually want to tune), and one or two brand presets.
Show the plan in chat in a few lines and proceed. If the user is present they can redirect before you build; do not block on approval.
## Step 3: Build the parts file and assemble
Read `references/token-contract.md` before writing any CSS. It lists the manifest schema, every dial, every `--pt-*` variable the dials drive, the helper classes, screens, and the `PT` bridge API. For `kind: "tui"` also read `references/tui-prototypes.md`.
Author `prototypes/<slug>.parts.html`:
```html <script type="application/json" id="pt-manifest"> { "schema": "ai-assist-prototype/manifest@1", "id": "garden-dashboard", "name": "Garden Companion · dashboard", "kind": "web", "brief": "Home screen for a garden planner. Hobby gardeners on laptop and phone. Table-first, sidebar cards, or journal feed?", "controls": "web", "defaults": { "accentHue": 140, "fontDisplay": "Fraunces" }, "extraControls": [ { "id": "sidebarWidth", "label": "Sidebar width", "group": "Layout", "type": "range", "min": 200, "max": 340, "step": 10, "default": 260, "unit": "px", "var": "--x-sidebar-w" } ], "presets": { "Garden": { "accentHue": 140, "neutralHue": 90, "radius": 12 } }, "variants": [ { "id": "ledger", "name": "Ledger", "thesis": "Dense table for scanning", "screens": [{ "id": "home", "name": "Today" }, { "id": "plant", "name": "Plant" }] }, { "id": "beds", "name": "Garden beds", "thesis": "Sidebar of beds, cards per plant", "tokens": { "radius": 16 } } ] } </script>
<template data-variant="ledger"> <style> .hero h1 { font-size: var(--pt-t-3xl); } .card { background: var(--pt-surface); border: var(--pt-border) solid var(--pt-border-color); border-radius: var(--pt-radius); padding: var(--pt-s-5); box-shadow: var(--pt-shadow-sm); } @media (max-width: 720px) { .kpis { grid-template-columns: 1fr 1fr; } } </style> <section data-screen="home" data-screen-name="Today"> … </section> <section data-screen="plant" data-screen-name="Plant" hidden> … </section> <script> PT.root.addEventListener('click', e => { const g = e.target.closest('[data-go]'); if (g) PT.go(g.dataset.go); }); </script> </template> ```
Authoring rules that make the dials and the export work:
- **Consume tokens, never hardcode the look.** Colors via `--pt-bg / --pt-surface / --pt-surface-2 / --pt-text / --pt-text-muted / --pt-border-color / --pt-accent / --pt-accent-soft / --pt-accent-2`, type via `--pt-font-display / --pt-font-body` and `--pt-t-xs … --pt-t-5xl`, spacing via `--pt-s-1 … --pt-s-9`, shape via `--pt-radius*`, `--pt-border`, `--pt-shadow-sm/md/lg`, motion via `--pt-dur-*`. Decorative illustration (a gradient thumbnail) may use accent-derived vars; the validator warns on anything else. - **Each variant is its own document.** Plain selectors are safe, `@media` queries work, the Deck's viewport buttons resize the document. Base styles and optional helpers (`.pt-container`, `.pt-card`, `.pt-btn`, `.pt-btn-primary`, `.pt-input`, `.pt-badge`, `.pt-muted`, `.pt-eyebrow`) are present; use them or style your own structure. - **Real content.** The product's words, entities and realistic quantities. No lorem ipsum, no "Item 1". Placeholder art is CSS gradients or inline SVG, never remote images. - **Light interactivity is welcome** (tabs, hover, open a detail screen, toggle a state) with in-memory data, no network, no persistence. Inline `<script>` in a template runs when that variant mounts; `PT.root` is its document, `PT.go(id)` switches screens, `PT.tokens()` / `PT.on('tokens', fn)` react to dials. - **Quality floor**: responsive at 390 / 820 / 1280, visible focus, reduced motion honored (the base styles do this), readable in both modes, no horizontal overflow (`minmax(0, 1fr)` in sidebar grids).
Assemble and validate in one command (`<skill-dir>` is the folder containing this SKILL.md):
```bash node <skill-dir>/scripts/build-prototype.mjs --parts prototypes/<slug>.parts.html --out prototypes/<slug>.html ```
The build splices your parts into the harness, sets the page title, and runs `scripts/validate-prototype.mjs` (manifest shape, every variant has a template and vice versa, self-contained, token usage lint). Fix errors; treat warnings as review notes and clear the ones that are not deliberate.
## Step 4: Verify like a design lead
1. Open it. Windows: `start "" "prototypes\<slug>.html"`; macOS: `open prototypes/<slug>.html`; Linux: `xdg-open prototypes/<slug>.html`. The file works from `file://`. 2. If you have browser automation, drive it instead of guessing: load the file (or serve the folder locally if your tool refuses `file://`), then use `window.__PT__`: `await __PT
Détails techniques
- Version
- 1.0.0
- Licence
- Unknown
- Dernière mise à jour
- 22 août 2026
- Publié
- 22 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-prototype, prêt pour une publication manuelle sur X.
A practical pick for the next deck: ai-assist-prototype: Build self-contained, double-click-to-open HTML prototypes so the user can vet an interface before it gets built. One file... 88 stars https://www.openagentskill.com/skills/jparkerweb-ai-assist-prototype?ref=x
Réponse facultative avec commande d’installation
Listing + install path for ai-assist-prototype: https://www.openagentskill.com/skills/jparkerweb-ai-assist-prototype?ref=x Install: npx skills add jparkerweb/ai-assist-skills --skill ai-assist-prototype
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-prototype)
[](https://www.openagentskill.com/skills/jparkerweb-ai-assist-prototype)
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[](https://www.openagentskill.com/skills/jparkerweb-ai-assist-prototype)Auteur
jparkerweb
@jparkerweb
Tags
Adéquation plateforme
Signaux de santé
- Stars GitHub
- 88
- Score de qualité
- 36/100
- Dernier push GitHub
- 22 août 2026
- Indications de framework
- Inconnu
- Vues OpenAgentSkill
- 3
- Copies d’installation
- 0
- Clics sortants
- 0
Signal de communauté
Indiquez si ce skill semble utile à votre workflow Agent. Les retours agrégés améliorent le classement au fil du temps.
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 récente1 jours depuis le dernier pushValidé
- 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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