AugmentClaude

Agent-First Screenshots

Generate product screenshots by automating browser capture with AI verification.

Installation

  1. Make sure Claude is on your device and in your terminal.

    Skills load from ~/.claude/skills/ when Claude Code starts up β€” so you need it on your machine first. If you don't have it yet, install it once with the command below, then run claude in any terminal to verify.

    One-time setup
    npm i -g @anthropic-ai/claude-code

    Already have it? Skip ahead.

  2. Paste into Claude Code or into your terminal.

    This copies the whole skill folder into ~/.claude/skills/agent-first-screenshots-devin-axis/ β€” the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.

    Faster alternative (instruction-only skills)

    Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates β€” they won't be downloaded and the skill will fail when it tries to load them.

    Quick install (SKILL.md only)
    Sign up to copy
  3. Restart Claude Code.

    Quit and reopen Claude Code (or any other agent that loads from ~/.claude/skills/). New skills are picked up on startup.

  4. Just ask Claude.

    Skills auto-activate when your request matches the skill's description β€” no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the β€œWhat this skill does” section above.

Prefer to read the source first? Open on GitHub.

When Claude uses it

Agent-first screenshots β€” an agent drives the real app via CDP and produces clean, defect-free product screenshots (newsletters, landing pages, social, decks, PR). Dual-channel verification (DOM + pixels + vision) in a capture loop. Use for any "take/redo screenshots of the app" task.

What this skill does

Agent-First Screenshots

An agent-first screenshot is produced by an agent driving the real app via CDP, gated by structural + pixel + vision verification before it ships. It turns screenshots from hand-crafted artifacts into a regenerable pipeline.

Use this for "take/redo screenshots / make marketing images" tasks. It is NOT e2e evidence β€” for pass/fail proof use the fraimz skill.

The Zero-Defect Bar

A shippable screenshot has ZERO obvious visual defects β€” the bar is not "the content is present", it is: would a human glancing at it immediately spot something broken? Overlapping or clipped text, misaligned/collapsed layout, garbled or mid-transition content, blank regions, stray modals/tooltips β€” any of these disqualifies the frame. Full stop.

The One Method

Operate the app like a power user preparing a demo, not like a developer hacking the DOM. The app already looks great: get it into a real, settled state through the UI and capture it cleanly. Never rebuild or fake it.

Golden Rules

  1. Only remove, never add. Hiding a leaf distraction (notification badge, "Sign in" footer link, status text) via display:none is safe. Never inject fake HTML, override flex/height/width on structural containers, add fixed-position overlays, or mutate the DOM tree β€” the layout engine will collapse (scroll areas shrink to 0, content disappears).
  2. If a feature isn't available, don't fake it. Enable it through the settings UI like a real user, or skip the shot and say so.
  3. Each shot starts from a clean reload. location.reload(), wait for full render, navigate through the UI, minimal leaf cleanup, verify, capture. Never carry CSS hacks across shots.
  4. Get state naturally. Click the real tabs/buttons/pickers; close panels via their close buttons (not CSS); run real multi-turn tasks so content is impressive β€” no toy data, no mid-stream captures.
  5. Match the target aspect ratio via CDP metrics override (e.g. 1440x900 at deviceScaleFactor: 2), then wait ~1s and re-verify β€” the override can trigger re-layout.

Verify with three channels, in a loop

innerText existing does not mean visible; a healthy DOM rect does not mean it rendered. Every frame must pass all three before it ships:

  1. DOM pre-check (cheap, before capture): scroll area height > 100px (not collapsed), hero text inside the viewport rect, no unexpected modal/overlay. If it fails: reload and redo β€” never fix with more CSS.

  2. Pixel post-check (truth, after capture): decode the PNG and sample the DOM-derived hero rects. Calibration: for text-on-white UI, background ratio is a bad signal (85–92% background is normal). Variance is the reliable signal: content-filled region variance > ~200 (often 1000+); blank/flat region < 50. Whole-image bgRatio > 0.97 β†’ blank frame.

  3. Vision check (mandatory gate): deterministic stats CANNOT catch the defects that matter most β€” overlap, clipping, misalignment, double-rendering. Hand the PNG to a vision-capable model with a zero-defect rubric returning JSON:

    { any_obvious_defect: bool,   // the gate β€” if true, REJECT
      overlapping_text_or_elements: bool, clipped_or_cutoff: bool,
      misaligned_or_broken_layout: bool, blank_or_empty_regions: bool,
      stray_modal_tooltip_or_panel: bool, legible: bool,
      polish_score: 1-5, defects: ["..."] }
    

    If any_obvious_defect is true the frame is rejected regardless of layers 1–2. Diagnose, fix the root cause (settle the state, close the picker, reload), recapture.

Reusable scripts in this skill's directory: screenshot-verify.mjs (verify an existing PNG) and capture-verify.mjs (capture at 2x + verify regions + save only on pass); both use sharp.

Common failure modes

SymptomFix
Overlapping/clipped text (layers 1–2 pass)Unsettled/edit-mode/wrong-width state β€” settle, use preview mode, gate on vision
Blank screenshot / 32px scroll areaStructural element was CSS-hidden β€” reload, close panels via UI
Overlay (picker/modal) on every shotIt was opened and never closed β€” Escape before capturing
In DOM but not in pixelsClipped/blank render β€” trust variance + vision, not innerText

Anti-patterns

Injecting fake components; overriding flex properties; fixed-position overlays; carrying state across shots; verifying via innerText only; proof-frame mindset (the goal is "I want that", not "it didn't crash").

Related skills