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sp-new-ui-mock

Preis unbestätigt★ 87 GitHub-StarsVerzeichnis aktualisiert · 8. Okt. 2026agent-skill

Übersicht

Design a new screen, flow or component as a self-contained HTML artboard on the prototype canvas, built from the board's existing design tokens rather than invented values. Covers picking or extending the token block, generating a row of screens from one script, iterating against annotated screenshots, and verifying by rendering. Use when asked to mock up a new screen or feature, design variants/proposals to compare, extend an existing board with more states, or turn a spec into artboards.

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New UI mock

For work with no reference screenshot to copy. If there is one, use sp-clone-prototype instead. Measurement beats invention every time.

Everything renders on the canvas from canvases/<slug>/; see sp-canvas for running it, and its references/layout.md for the folder and layout.json rules.

The app ships the template folder, and sp root prints where. sp, refkit or artgen not found? Run sh <sp-canvas skill dir>/scripts/install.sh (Windows: install.ps1) and follow that skill's references/install.md. A [super-prototyping:notice] line on their stderr carries its own rule: finish the step, then do what it says.

KIT="$(sp root)"
mkdir -p canvases                       # first board in a project
B=canvases/<slug>
cp -r "$KIT/canvases/templates" "$B"
python3 "$B/gen.py"

Everything a run derives goes under $B/scratch/: shots, montages, candidate boards. A -o without a directory writes into whatever the current directory happens to be, which is the user's project root as often as not. The template's parked reference is ref-01-screen.html, and that stays out of git too. Once per project:

for p in 'ref-*.html' '**/assets/refs/' 'scratch/'; do
  grep -qxF "$p" .gitignore 2>/dev/null || echo "$p" >> .gitignore
done

1. Find the tokens before you design

Never invent a palette when the product already has one.

Extending an existing board? Reuse its 00-design-tokens.html block verbatim. Copy it byte-identically into the new file; a sandboxed iframe has no shared stylesheet.
Cloning a real app's look? Stop and run sp-clone-prototype Phase 1 and Phase 2 first; come back with a measured token block.
Genuinely new product, nothing to measure? Copy the shipped template folder, change NAME and the prefix, and pick deliberately: a platform-native stack, a neutral ramp, one accent, one danger. Keep the evidence table and write why in it ("iOS system blue", "brand hex from the logo"). An unexplained hex is a future bug.

A new token is a decision, not a convenience. If a screen needs a colour or a size that is not in the block, either it belongs in the block (add it there, in every file) or the screen is wrong.

2. Ground the content

Readers take the copy, numbers and states in a mockup as product decisions.

Read the project's PRD.md first when it has one (the sp-define-product skill writes it). Its users, scope and Screens table, with the states of each screen, are the brief.
Take strings from the real source when it exists: localization files, existing screens, the spec. Never from imagination.
Use real assets over hand-drawn approximations: the actual icon, the actual logo, the actual empty-state illustration, embedded as a data: URI.
Design the unhappy states too: empty, loading, error, long string, longest plausible number. A mock that only shows the happy path hides exactly the layout problems worth finding now.

3. One generator, one row of screens

Same rule as cloning. Write one script that emits every .html in the folder, and edit the script, never the output.

TOKENS = ":root{...}"                      # one source of truth
def page(title, extra_css, body): ...      # TOKENS + frame + body

Constraints (from the canvas renderer):

Fully self-contained. sandbox="" means no external CSS, JS, fonts or images; data: URIs and inline SVG only.
Artboard box is 478 × 980. Overflow clips silently.
iPhone frame 393 × 852 pt at 1pt = 1px: 54px status bar, 125 × 36 Dynamic Island, 139 × 5 home indicator.
Avoid SF Symbols private-use glyphs; they render as tofu without SF Pro.
Accessibility is not a mockup detail to skip: real contrast on real backgrounds, ≥ 44pt tap targets, aria-label on icon-only controls. A mock that fails contrast ships a screen that fails contrast.

Proposals to compare

When the ask is "show me some options", make each proposal a whole artboard in one row, not a fragment:

{ "title": "Card layout proposals", "numbered": true,
  "files": [
    { "file": "10-cards-continuity", "label": "Continuity" },
    { "file": "11-cards-structured", "label": "Structured" },
    { "file": "12-cards-reference",  "label": "Reference" }
  ] }

Three is usually the right number. Two reads as a false binary, five as indecision. Make them genuinely different approaches, not three spacing values, and put a one-line rationale at the bottom of each board. Rows align column-for-column, so a second row of the same three under a different state reads as a matrix.

4. Iterate against annotated screenshots

For review, the user marks up a screenshot of the canvas with boxes, arrows and numbers, then pastes it back.

Echo what you read each annotation as, before touching anything.
Change the generator, not the artboard.
Re-run the generator; the canvas swaps in the new board.
Verify that region visually before claiming it is done.

Answer every annotation, including the ones you disagree with. Say so in a line and make the change, or say why you did not and what you did instead.

5. Verify by rendering

refkit shoot "$B"/*.html -o "$B/scratch/shots" --scale 2
refkit montage "$B"/scratch/shots/*.png -o "$B/scratch/board.png" --height 520

Read the montage. Check, in order: nothing clipped; text wraps where you intended; the same element has the same inset on every screen; nothing uses a colour that is not in the token block (grep -o '#[0-9A-Fa-f]\{6\}' on the generated files and compare the set against :root).

Re-render after every pass. A change you have not re-rendered is not done.

Quelle ansehen ↗

Dateimetadaten

name: sp-new-ui-mock
description: Design a new screen, flow or component as a self-contained HTML artboard on the prototype canvas, built from the board's existing design tokens rather than invented values. Covers picking or extending the token block, generating a row of screens from one script, iterating against annotated screenshots, and verifying by rendering. Use when asked to mock up a new screen or feature, design variants/proposals to compare, extend an existing board with more states, or turn a spec into artboards.
license: Apache-2.0
compatibility: Requires python3 and the refkit command, which the Super Prototyping app puts on PATH (sp-canvas's scripts/install.sh or install.ps1). Google Chrome for refkit shoot.
metadata:
  managed-by: super-prototyping

Originaltext anzeigen

---
name: sp-new-ui-mock
description: Design a new screen, flow or component as a self-contained HTML artboard on the prototype canvas, built from the board's existing design tokens rather than invented values. Covers picking or extending the token block, generating a row of screens from one script, iterating against annotated screenshots, and verifying by rendering. Use when asked to mock up a new screen or feature, design variants/proposals to compare, extend an existing board with more states, or turn a spec into artboards.
license: Apache-2.0
compatibility: Requires python3 and the refkit command, which the Super Prototyping app puts on PATH (sp-canvas's scripts/install.sh or install.ps1). Google Chrome for refkit shoot.
metadata:
managed-by: super-prototyping
---

# New UI mock

For work with **no reference screenshot to copy**. If there is one, use
`sp-clone-prototype` instead. Measurement beats invention every time.

Everything renders on the canvas from `canvases/<slug>/`; see `sp-canvas` for
running it, and its `references/layout.md` for the folder and `layout.json`
rules.

The app ships the template folder, and `sp root` prints where. `sp`, `refkit` or `artgen` not found? Run `sh <sp-canvas skill dir>/scripts/install.sh` (Windows: `install.ps1`)
and follow that skill's `references/install.md`. A `[super-prototyping:notice]`
line on their stderr carries its own rule: finish the step, then do what it says.

```bash
KIT="$(sp root)"
mkdir -p canvases # first board in a project
B=canvases/<slug>
cp -r "$KIT/canvases/templates" "$B"
python3 "$B/gen.py"
```

Everything a run derives goes under `$B/scratch/`: shots, montages, candidate
boards. A `-o` without a directory writes into whatever the current directory
happens to be, which is the user's project root as often as not. The
template's parked reference is `ref-01-screen.html`, and that stays out of
git too. Once per project:

```bash
for p in 'ref-*.html' '**/assets/refs/' 'scratch/'; do
grep -qxF "$p" .gitignore 2>/dev/null || echo "$p" >> .gitignore
done
```

---

## 1. Find the tokens before you design

Never invent a palette when the product already has one.

- **Extending an existing board?** Reuse its `00-design-tokens.html` block
verbatim. Copy it byte-identically into the new file; a sandboxed iframe
has no shared stylesheet.
- **Cloning a real app's look?** Stop and run `sp-clone-prototype` Phase 1 and
Phase 2 first; come back with a measured token block.
- **Genuinely new product, nothing to measure?** Copy the shipped template
folder, change `NAME` and the prefix, and pick deliberately: a
platform-native stack, a neutral ramp, one accent, one danger. Keep the
evidence table and write *why* in it ("iOS system
blue", "brand hex from the logo"). An unexplained hex is a future bug.

A new token is a decision, not a convenience. If a screen needs a colour or a
size that is not in the block, either it belongs in the block (add it there,
in every file) or the screen is wrong.

---

## 2. Ground the content

Readers take the copy, numbers and states in a mockup as product decisions.

- Read the project's `PRD.md` first when it has one (the `sp-define-product`
skill writes it). Its users, scope and Screens table, with the states of
each screen, are the brief.
- Take strings from the real source when it exists: localization files,
existing screens, the spec. Never from imagination.
- Use real assets over hand-drawn approximations: the actual icon, the actual
logo, the actual empty-state illustration, embedded as a `data:` URI.
- Design the **unhappy states too**: empty, loading, error, long string,
longest plausible number. A mock that only shows the happy path hides
exactly the layout problems worth finding now.

---

## 3. One generator, one row of screens

Same rule as cloning. Write **one** script that emits every `.html` in the
folder, and edit the script, never the output.

```python
TOKENS = ":root{...}" # one source of truth
def page(title, extra_css, body): ... # TOKENS + frame + body
```

Constraints (from the canvas renderer):

- **Fully self-contained.** `sandbox=""` means no external CSS, JS, fonts or
images; `data:` URIs and inline SVG only.
- **Artboard box is 478 × 980.** Overflow clips silently.
- iPhone frame 393 × 852 pt at 1pt = 1px: 54px status bar, 125 × 36 Dynamic
Island, 139 × 5 home indicator.
- Avoid SF Symbols private-use glyphs; they render as tofu without SF Pro.
- Accessibility is not a mockup detail to skip: real contrast on real
backgrounds, ≥ 44pt tap targets, `aria-label` on icon-only controls. A mock
that fails contrast ships a screen that fails contrast.

### Proposals to compare

When the ask is "show me some options", make each proposal a **whole
artboard in one row**, not a fragment:

```json
{ "title": "Card layout proposals", "numbered": true,
"files": [
{ "file": "10-cards-continuity", "label": "Continuity" },
{ "file": "11-cards-structured", "label": "Structured" },
{ "file": "12-cards-reference", "label": "Reference" }
] }
```

Three is usually the right number. Two reads as a false binary, five as
indecision. Make them **genuinely different approaches**, not three spacing
values, and put a one-line rationale at the bottom of each board. Rows align
column-for-column, so a second row of the same three under a different state
reads as a matrix.

---

## 4. Iterate against annotated screenshots

For review, the user marks up a screenshot of the canvas with boxes, arrows
and numbers, then pastes it back.

1. Echo what you read each annotation as, before touching anything.
2. Change the generator, not the artboard.
3. Re-run the generator; the canvas swaps in the new board.
4. Verify that region visually before claiming it is done.

Answer every annotation, including the ones you disagree with. Say so in a
line and make the change, or say why you did not and what you did instead.

---

## 5. Verify by rendering

```bash
refkit shoot "$B"/*.html -o "$B/scratch/shots" --scale 2
refkit montage "$B"/scratch/shots/*.png -o "$B/scratch/board.png" --height 520
```

Read the montage. Check, in order: nothing clipped; text wraps where you
intended; the same element has the same inset on every screen; nothing uses a
colour that is not in the token block (`grep -o '#[0-9A-Fa-f]\{6\}'` on the
generated files and compare the set against `:root`).

Re-render after every pass. A change you have not re-rendered is not done.

Quelle prüfen

Preis und Betriebskosten

Skill beziehen: Preis unbestätigt
Ausführen: Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
Lizenz: Apache-2.0
Preis unbestätigt: Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.

Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →

Skill-Quelle erfasst

Ein Anleitungspfad ist erfasst. Das ist kein Ausführungstest und keine Sicherheits- oder Kompatibilitätsgarantie.

Vor Installation prüfen: Automatische Installation vermeiden

Lizenz: Apache-2.0

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
KI-Prüffreigabe fehlt
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 87 GitHub stars
Stars/forks activity: 87 stars, 4 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Vollständiges Audit öffnen

Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.

Mit einer kleinen Aufgabe beginnen

1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.

Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.

Quelle und Nutzungshinweise

ErfasstStatisch geprüft

Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.

Quell-Repository: ReScienceLab/super-prototyping
Lizenz: Apache-2.0
Version: Unknown
Letzter GitHub-Push: 8. Okt. 2026
Verzeichnis aktualisiert: 8. Okt. 2026
Anleitungspfad: skills/sp-new-ui-mock/SKILL.md @ 9d196b976168

Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.

Qualität

61/100

Vielversprechend

Vertrauen

62/100

Nur Sandbox

Audit

74/100

Prüfung nötig

Vollständiges Audit öffnen Eval-Bericht ansehen

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
KI-Prüffreigabe fehlt
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 87 GitHub stars
Stars/forks activity: 87 stars, 4 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Verified installs: —
Ergebnisse: —

Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.

Agent-Zugang

Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.

Installations-API öffnen LLM-Textformat Manifest öffnen Auto-Auflösungsplan

Weitere Details

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      "Stars/forks activity: 87 stars, 4 forks; issue activity unavailable in current metadata",
      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
  },
  "agent_proven": {
    "version": "agent-proven-v1",
    "score": 0,
    "tier": "unproven",
    "label": "Needs first agent run",
    "summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
    "metrics": {
      "totalOutcomes": 0,
      "successfulOutcomes": 0,
      "failedOutcomes": 0,
      "installAttempts": 0,
      "installSuccessRate": null,
      "successRate": null,
      "recentSuccessRate": null,
      "recentFailureRate": null,
      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 74,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "Financial research output is not financial advice; require human review before any live investment decision",
      "AI review approval is missing",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "GitHub adoption: 87 GitHub stars"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 61,
    "label": "Promising"
  },
  "supply": {
    "track": "Design and creative production",
    "scenario": "Design and creative",
    "maintenance": "3d since push",
    "risk": "Needs review"
  },
  "alternative_skills": [
    {
      "slug": "vox-director",
      "name": "Vox Director",
      "url": "https://www.openagentskill.com/skills/vox-director",
      "stars": 2207,
      "install_command": "npx skills add Alisa0808/vox-director --skill vox-director",
      "trust_score": 86,
      "audit_score": 92
    },
    {
      "slug": "anthropic-canvas-design",
      "name": "Canvas Design",
      "url": "https://www.openagentskill.com/skills/anthropic-canvas-design",
      "stars": 180366,
      "install_command": "npx skills add anthropics/skills --skill canvas-design",
      "trust_score": 91,
      "audit_score": 93
    }
  ],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "high-compliance environments without internal security review",
    "No major risk signals from current metadata",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Financial research output is not financial advice; require human review before any live investment decision",
    "AI review approval is missing"
  ],
  "agent_contract": {
    "task_input": "Use sp-new-ui-mock in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 70/100 Manual review",
      "Audit: 74/100 Needs review",
      "Safety: 34/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "resciencelab-sp-new-ui-mock (sp-new-ui-mock)",
      "install_command": "npx skills add ReScienceLab/super-prototyping --skill sp-new-ui-mock",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "resciencelab-sp-new-ui-mock",
      "task": "Use sp-new-ui-mock in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/resciencelab-sp-new-ui-mock",
    "api": "https://www.openagentskill.com/api/agent/skills/resciencelab-sp-new-ui-mock",
    "audit": "https://www.openagentskill.com/skills/resciencelab-sp-new-ui-mock/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=resciencelab-sp-new-ui-mock&task=Use%20sp-new-ui-mock%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20sp-new-ui-mock%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20sp-new-ui-mock%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/resciencelab-sp-new-ui-mock/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/resciencelab-sp-new-ui-mock"
  }
}

Für Ersteller

Quelle des Eintrags

Registry-indexiert

Beanspruchbar

Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.

Ersteller: ReScienceLab
Quelle: ReScienceLab/super-prototyping
Indexiert von: OpenAgentSkill Community-Index

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