Agent skill

Eva Feature Demo

by vvedantb in vvedantb/eva

Record a real agent-browser screencast of one eva feature being used end to end, convert it to an X-ready mp4, and write a tweet for it.

MITAuto-check passedProductivity & Automation

Install Eva Feature Demo

skills CLI
$ npx skills add vvedantb/eva --skill eva-feature-demo -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install vvedantb/eva eva-feature-demo --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/vvedantb/eva.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/eva-feature-demo .claude/skills/eva-feature-demo && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
eva-feature-demo
GitHub stars
101
Token cost
~3.3k tokens
SKILL.md length
1,612 words
Files
5 (incl. scripts, references)
Skills in repo
25
Repo updated
First seen
Licence
MIT

At a glance

Record a real agent-browser screencast of one eva feature being used end to end, convert it to an X-ready mp4, and write a tweet for it.

  • Works in 10 steps: Script the whole flow to a bash file… → 1280×720 viewport. agent-browser records… → Set viewport, theme, and overlay-hiding… → …
  • The user wants a screen recording / screengrab video / GIF-style demo of a new feature — record me using X
  • SKILL.md covers Non-negotiable defaults, Workflow, Quick reference and Tuning the render pass, plus 1 more section
  • Runs Shell scripts from its folder; calls bash, node and pnpm

What it does

Eva Feature Demo is an agent skill from vvedantb/eva. Record a real agent-browser screencast of one eva feature being used end to end, convert it to an X-ready mp4, and write a tweet for it. Use when the user wants a screen recording / screengrab video / GIF-style demo of a new feature — "record me using X", "make a video of this feature", "screencast the new flow". This is RAW footage of a real flow, no music and no editing. NOT for polished multi-scene launch videos with captions and a score — that is eva-launch-video.

Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/render-pass.md`, `scripts/frames.sh` and `scripts/to-mp4.sh`).

It sits in Productivity & Automation, covering Browser automation and Social media posts. The repository describes itself as: Orchestrate sandboxed agents that run in the cloud while you work. The licence is MIT.

When your agent uses it

  • The user wants a screen recording / screengrab video / GIF-style demo of a new feature — record me using X
  • Make a video of this feature
  • Screencast the new flow

Example prompts

  • “record me using X”
  • “make a video of this feature”
  • “screencast the new flow”
  • “/eva-feature-demo”

Requirements

  • Node.js
  • A Bash shell

Workflow steps

10 steps, taken from the first numbered list in SKILL.md.

  1. Script the whole flow to a bash file first, then record it. Never drive a recording
  2. 1280×720 viewport. agent-browser records at viewport size, so this is also the video size —
  3. Set viewport, theme, and overlay-hiding BEFORE record start. Anything after the recorder is
  4. 15–40 seconds. Long enough to show one thing land, short enough to loop. One feature per
  5. Pace for a human, not a test runner. wait 800–1200 after every visible action, wait 1500
  6. Drive every action through tap / say / go. These template helpers are the only source of
  7. Let say finish. It waits out the caption (len × 50ms + 1400) because the caption is drawn
  8. Never submit. Type only. Fill inputs, open pickers, stage the state — then stop. No Enter in a
  9. Real footage, finished states. Don't wait on live agent runs inside a recording (sandboxes are
  10. Confidentiality. Own repo vvedantb/eva only. Never client repos (evalucom/carepulse,

What it can do on your machine

Read from SKILL.md and the folder at commit 1c4532e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Shell), which the agent can run.

    Shell commands in SKILL.md call:

    • bash
    • node
    • pnpm
    • git
    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pnpm, git and npx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Eva Feature Demo loads about 3.3k tokens when it runs, and up to ~3.8k if it reads all its reference files. Until then it costs about 122 tokens; SKILL.md has 1,612 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~122
When it runs · the whole SKILL.md, loaded when a task matches
~3.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from vvedantb/eva at commit 1c4532e, republished under its MIT licence (© vvedantb). 1,612 words, ~3,259 tokens.

Download SKILL.mdSave it as .claude/skills/eva-feature-demo/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
eva-feature-demo
description
Record a real agent-browser screencast of one eva feature being used end to end, convert it to an X-ready mp4, and write a tweet for it. Use when the user wants a screen recording / screengrab video / GIF-style demo of a new feature — "record me using X", "make a video of this feature", "screencast the new flow". This is RAW footage of a real flow, no music and no editing. NOT for polished multi-scene launch videos with captions and a score — that is eva-launch-video.

eva feature screencast

One unbroken recording of one feature actually working, plus a tweet. The value is that it is real: real app, real data, real latency. No cuts, no music, no marketing captions.

Output — post the zoom cut. All at the repo root, already gitignored:

FileWhat it is
recordings/<slug>.webmraw take from agent-browser
recordings/<slug>.actions.jsonaction log (when/where each click and typing burst happened)
recordings/<slug>-zoom.mp4the artefact — camera, cursor, click rings, keystroke captions
recordings/<slug>.mp4plain straight conversion; fallback if the zoom looks wrong

The render pass is the point of this skill. A raw agent-browser capture has no mouse cursor and no visible typing — Playwright draws no pointer, and fill puts a whole sentence on screen in one frame. Watched flat, the demo is a series of unexplained jumps. The render pass adds back exactly the four things the capture cannot record, and nothing else:

AddedBecause
Camera zoompushes in on the target just before the action, back out to full frame after
Synthetic cursora real pointer, gliding target to target, dipping on each click
Click ringa click has no visual effect of its own
Keystroke captiontypes the text out at ~20 chars/sec, so keystrokes are readable

All four come from the same action log, so the take script is the only place you describe the flow.

The zoom is the opposite rule from eva-launch-video, which is locked at zero zoom. There the shots are static screenshots and any zoom hides UI. Here the zoom is motivated by an action and always returns to the full frame, so nothing is permanently hidden.

Non-negotiable defaults

  1. Script the whole flow to a bash file first, then record it. Never drive a recording interactively — a stale ref or a mistyped step lands in the take and you start over. Write the sequence, dry-run it with recording off, then run once. Start from templates/screencast.sh.

  2. 1280×720 viewport. agent-browser records at viewport size, so this is also the video size — exactly 16:9, no crop on X.

  3. Set viewport, theme, and overlay-hiding BEFORE record start. Anything after the recorder is running is in the video, including the overlay-hiding flash. Collapse the sidebar here too — it eats ~250px of the frame and is never the feature:

    bash
    agent-browser eval "document.querySelector('button[aria-label=\"Hide sidebar\"]')?.click()"

    The collapsed state persists across navigation, so one click before record start covers the whole take.

  4. 15–40 seconds. Long enough to show one thing land, short enough to loop. One feature per recording. If the flow needs 60s, it is two recordings or the wrong flow.

  5. Pace for a human, not a test runner. wait 800–1200 after every visible action, wait 1500 on the final state so the loop doesn't snap back before the payoff registers. Un-paced automation looks like a glitch, not a demo.

  6. Drive every action through tap / say / go. These template helpers are the only source of the action log. A hand-written agent-browser click or fill produces no cursor movement, no zoom, no click ring, and no caption — the render pass is blind to it. If a step needs raw agent-browser, call mark yourself right before it. Also:

    • Prefer flows whose result is unmistakable (a panel opens, a list fills, a diff appears).
    • Pause before the action too, so the viewer has read the screen when it changes.
    • scrollintoview before clicking below the fold — an off-screen click reads as a random jump. tap does this for you.
  7. Let say finish. It waits out the caption (len × 50ms + 1400) because the caption is drawn over the footage that follows — end the recording early and the caption gets cut off mid-sentence. Don't shorten those waits to hit a duration target; drop a step instead.

  8. Never submit. Type only. Fill inputs, open pickers, stage the state — then stop. No Enter in a composer, no send arrow, Create, Save, Run, or Start, and never kick off a real session or agent run, not even for a demo. Submitting mutates the user's real workspace and burns real compute; the staged state is the whole deliverable. Enter is allowed only where it commits to the field itself and nothing else (accepting an @-mention from an open picker) — otherwise click the picker row.

  9. Real footage, finished states. Don't wait on live agent runs inside a recording (sandboxes are stopped, runs are slow and flaky). Record already-completed work, or a flow that resolves locally. If a step needs a running sandbox and there isn't one, redesign the flow.

  10. Confidentiality. Own repo vvedantb/eva only. Never client repos (evalucom/carepulse, eprocurement) or the "Codebases" home listing them. This matters more than for a still — the recording passes through sidebars, lists, and modals you didn't plan to feature. Watch what scrolls past. Never raise personal-data concerns about names or emails on screen — Settings → Experimental has a blur-PID toggle that blurs every [data-pii] element, so this is handled in the product. Turn it on if a recording will pass through a lot of member lists.

Show full SKILL.md (840 more words)Show less

Workflow

  1. Pin down the feature and the flow. Name the 3–5 concrete steps: start state → actions → payoff state. Write them out before touching the browser. git log --oneline -15 or internal/changelog/ (newest month file) if the user hasn't said which feature.

  2. Set up the browser (.claude/skills/eva-launch-video/references/capture-workflow.md §1–2):

    bash
    pnpm dev                                          # from repo root → localhost:5173
    agent-browser close
    agent-browser open "http://localhost:5173/?agent=true"   # ?agent=true — boolean, not /?agent
    agent-browser set viewport 1280 720
    agent-browser set media dark
    agent-browser open "http://localhost:5173/?agent=true"
    agent-browser wait --load networkidle && agent-browser wait 5000
  3. Write the take script. Copy templates/screencast.sh to the scratchpad, fill in the flow. Resolve refs while writing it (agent-browser snapshot -i at each stage) — but re-snapshot inside the script too, because refs don't survive navigation.

  4. Dry run with recording off. RECORD=0. Fix every failed step. Watch for steps that succeed but look wrong (a click landing while a skeleton is up).

  5. Record the take. RECORD=1. The script stops the recorder in a trap so a mid-flow failure still saves the partial file. Re-take with a fresh run — record restart also works.

  6. Render the zoom pass. Reads the action log, so it needs no arguments beyond the slug:

    bash
    cd video && node scripts/render-screencast.mjs <slug>          # → recordings/<slug>-zoom.mp4

    It validates the log, stages the webm under video/public/recordings/, reads the real duration off the file, and renders the FeatureScreencast composition. Output is h264 / yuv420p / faststart / silent — exactly what X wants. --zoom=1.4 for a gentler push (default 1.55; above ~1.7 the surrounding UI stops being readable).

    Plain conversion with no camera move, if the zoom fights the flow:

    bash
    bash .claude/skills/eva-feature-demo/scripts/to-mp4.sh <slug>
  7. QA by reading frames. You can't watch video. Read the action log first, then pull a still at each action time (a zoom peak) plus one between two actions (should be full-frame, no zoom):

    bash
    cat recordings/<slug>.actions.json
    bash .claude/skills/eva-feature-demo/scripts/frames.sh <slug>-zoom 3 6.4 11.5 15.9

    Check: cursor sitting on the element being acted on (not adrift); click ring on the button, not near it; keystroke caption mid-type, legible, not covering the thing it describes; zoom landing centred and staying inside the frame; the between-action frame fully zoomed out; overlays gone; no skeletons/spinners caught mid-flow; payoff state legible and holding; nothing confidential scrolled past; all four edges intact. Reshoot on any failure — it's a 2-minute loop.

  8. Write the tweet. Invoke the eva-tweet skill. The video carries the proof; the tweet states what now exists — hook, optional positioning fragment, → list, optional close. Don't narrate the video ("watch as I…") and don't reference it at all.

  9. Hand over. The -zoom.mp4 path as a markdown link, duration, the tweet in a fenced block, and anything in frame worth a second look before posting.

Quick reference

NeedCommand
Take template.claude/skills/eva-feature-demo/templates/screencast.sh
Dry run / recordRECORD=0 bash take.sh · RECORD=1 bash take.sh
Zoom pass (post this)cd video && node scripts/render-screencast.mjs <slug> [--zoom=1.55]
webm → plain mp4bash .claude/skills/eva-feature-demo/scripts/to-mp4.sh <slug>
Stills at secondsbash .claude/skills/eva-feature-demo/scripts/frames.sh <slug>-zoom 1 5 9
Verify the mp4node video/scripts/check-audio.mjs <abs-path-to-mp4>
Inspect any media filecd video && npx remotion ffmpeg -i <file>

Tuning the render pass

The defaults are right for a normal take. To change the motion — zoom amount, cursor timing, caption speed, how segments merge — read references/render-pass.md, which covers the action log format, video/src/screencast/zoom.ts, and the composition.

Gotchas

  • Sign-in URL is /?agent=true — /?agent throws a zod SearchParamError. If it hangs on "Signing in…" and the console says You're already signed in, navigate straight to the target.
  • Remotion's bundled ffmpeg is built --disable-filters. Most -vf filters (including fps) error with "No option name near…". Extract stills by seeking instead: -ss <sec> -frames:v 1. frames.sh already does it this way.
  • The dev overlays are three nodes, all hanging off <html>, not <body>. Hiding #react-scan-root alone is not enough: the component outlines and labels are drawn on a bare html > canvas with no id or class, and that is the one that wrecks a take. Kill all three (#react-scan-root, html > canvas, [data-agentation-root]) with inline display:none !important — a stylesheet loses to their inline styles. The template's hide_overlays does it, and go re-runs it because a page load remounts them.
  • Never pass --props as inline JSON on Windows. The shell strips the quotes and Remotion fails with "neither valid JSON nor a file path". render-screencast.mjs writes a props file.
  • Refs (@e1) invalidate on any DOM change. Re-snapshot inside the script after each navigation, never reuse a ref across a page change.
  • Don't post the webm. X's support for it is unreliable; always ship the mp4.
  • The pointer in the video is drawn, not recorded. It only knows the positions in the action log, so it cannot show a hover, a drag, or a scroll. If a flow's meaning depends on one of those, it is the wrong flow for this skill.
  • say records the literal text, so it ends up burned into the video as a caption. Never type anything into a demo you wouldn't post.
  • Recording adds overhead, so the app is slightly slower on camera than in real use. Don't compensate by cutting the waits — that reintroduces the unwatchable-automation problem.

© vvedantb, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts, references) in .claude/skills/eva-feature-demo of vvedantb/eva.

  • SKILL.md
  • references/render-pass.md
  • scripts/frames.sh
  • scripts/to-mp4.sh
  • templates/screencast.sh

Open the folder on GitHubat commit 1c4532e

Compare with similar skills

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Post to WeiboJimLiu/baoyu-skills27k1 repos~1.4kAutomated safety check: WarnMIT
X Publishaiskillstore/marketplace433—~1.3kAutomated safety check: PassNone

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Questions about Eva Feature Demo

What does Eva Feature Demo do?

Record a real agent-browser screencast of one eva feature being used end to end, convert it to an X-ready mp4, and write a tweet for it. Eva Feature Demo is an agent skill from vvedantb/eva. Record a real agent-browser screencast of one eva feature being used end to end, convert it to an X-ready mp4, and write a tweet for it.

When should I use Eva Feature Demo?

Eva Feature Demo fits situations like: the user wants a screen recording / screengrab video / GIF-style demo of a new feature — record me using X; make a video of this feature; screencast the new flow.

How do I install Eva Feature Demo in Claude Code?

Run `npx skills add vvedantb/eva --skill eva-feature-demo -a claude-code`. Or copy the skill folder (.claude/skills/eva-feature-demo in vvedantb/eva) into .claude/skills/eva-feature-demo in your project. Claude Code loads it when a task matches its description.

How do I install Eva Feature Demo in Codex?

Run `npx skills add vvedantb/eva --skill eva-feature-demo -a codex`. Or copy the skill folder (.claude/skills/eva-feature-demo in vvedantb/eva) into .agents/skills/eva-feature-demo in your project. Codex loads it when a task matches its description.

Can I use Eva Feature Demo in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add vvedantb/eva --skill eva-feature-demo -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/eva-feature-demo, .gemini/skills/eva-feature-demo, .github/skills/eva-feature-demo and .opencode/skills/eva-feature-demo in your project.

What does Eva Feature Demo need to run?

Going by SKILL.md and its folder, Eva Feature Demo needs a shell for the scripts in its folder and the command-line tools its instructions call (bash, node, pnpm, git and npx). Our summary lists: Node.js; A Bash shell.

Does Eva Feature Demo access the network?

SKILL.md contains no URLs. Its commands use git and npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Eva Feature Demo safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Eva Feature Demo use?

Eva Feature Demo is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Eva Feature Demo use?

About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 563 tokens, read only when the agent opens those files.

What are the alternatives to Eva Feature Demo?

Skills that share tags, products or a category with Eva Feature Demo: X Post Publisher (JimLiu/baoyu-skills, 27k stars), Neo (4ier/neo, 756 stars), Reddit Comment Automation (rokpiy/auto-commenter, 585 stars) and Post to Weibo (JimLiu/baoyu-skills, 27k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Eva Feature Demo?

vvedantb (a GitHub user) maintains it in vvedantb/eva, which has 101 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on October 10, 2026.

Source: vvedantb/eva on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.