create-workbench
Skill14 starsChanged 4 days agoMITView on GitHub
Use when a page is wanted to work on something with the person during development, fed the project's real data (comparing model answers, walking an agent call by call, measuring an output against its template), when such a workbench has to change, be reworked or its feed broke, or mid-session when turns went into aligning with the person on how to do a kind of work that recurs and real project data could show it. Produces the page in aiview, kind `workbench`, and the project's `workbench-<bench>` skill with its feed and operating steps. Not for designing a product screen (design-prototype) or verifying user stories (verification-skill-create).
1 other project uses a version of this.
Adopted by
Most recently taken up by
- Ovich/swarmstormword for word, first seen Oct 25, 2026
Other versions1 project uses a version of this.
Word for word · 1
- Ovich/swarmstorm★ 14100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository34 other files it gives its agents.
- AGENTS.mdAGENTS.md
- brainstormSkill
- brainswarmSkill
- interviewSkill
- whiteboard-defenseSkill
- complexity-reworkSkill
- deepen-moduleSkill
- dependency-graphSkill
- simplify-reworkSkill
- simplifySkill
- write-diagramsSkill
- aiviewSkill
- swarm-boardSkill
- execute-planSkill
- long-horizonSkill
- orchestrate-planSkill
- guide-complexitySkill
- guide-createSkill
- guide-deepen-moduleSkill
- helpSkill
- next-stepSkill
- orchestrateSkill
- cold-readSkill
- write-planSkill
- roadmapSkill
- technical-writingSkill
- write-conventionsSkill
- pr-reviewSkill
- recurring-review-findingsSkill
- swarmSkill
- design-prototypeSkill
- point-atSkill
- validate-deliverySkill
- verification-skill-createSkill
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 4 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 29
The person is in the build: Every change is shown in the watched browser before the next question, as the design-prototype skill paces a …
- Distinctive: line 37
Never a second bench for one scope: one bench per question and the project's local skills grow with every plan.
- Distinctive: line 59
Whether operating it takes steps: start the stack, hold a call, reset state, record an answer.
- Distinctive: line 79
Then one change at a time: write it, read the screenshot, show the person, ask the next question.
- Distinctive: line 159
Run the feed from a clean shell, see the page reload with real data in the watched browser, and walk once, with the person, what they do on …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Create a workbench
Some work is done with the person in the loop, and time goes into aligning on how to do it. That alignment is kept as a skill, so the next session does not explain it all again; a workbench keeps it with a dev tool beside it, fed the project's real data. It is made at the start of the work or mid-session.
Mid-session, propose it in one line, at a pause, when three things hold: the session spent turns aligning on how to do a kind of work, that work recurs, and real project data could show it. Build only on a yes; one no ends it for that work in the session.
A workbench is a dev tool for iterating on an idea, and it has two users: the person, who needs a clear UI that opens on what is being tried now, and the agent, who needs the bench cheap to read, change and check. It is judged by the time from "what if…" to the result seen.
Two things are produced, and a later agent works the bench from them alone: the page,
in the data home like every document, and the project's workbench-<bench> skill, which
holds the feed that fills the page and the steps to operate it.
The bench's skill makes the agent operating it the bench's owner, by its role: that agent keeps the page, the feed and the scripts true, fast and easy to drive, adapting them in place when the project moves on. No other skill maintains them.
The person is in the build. Every change is shown in the watched browser before the
next question, as the design-prototype skill paces a prototype. A bench described in chat
was not seen.
Before building
- A
workbench-<bench>skill's scope covers this question in the project's local skill folder: read it and its page, and add the question to both as a view or a mode. Never a second bench for one scope: one bench per question and the project's local skills grow with every plan. - Read the sources before asking: the files the project produces that the bench will show (recordings, calls as sent, fixtures, templates), where they live, their exact shape, and the code that writes them.
- The watched browser: a headed browser the person sees and the agent drives, a
Playwright MCP over DevTools or a script over CDP. The project's own when it has one,
named in its local skills. None: start Playwright's Chromium headed with
--remote-debugging-port=9222, say so, and stop it at the end.
Define, through the interview skill
Each answer is written into the bench skill's head as it lands.
- The bench's scope: a kind of work on a part of the product (any model call, any agent walk, one family of screens), as wide as its sources allow, and the bench's label. The question at hand is its first view.
- The sources, each file or call, as the project produces it.
- The feed's kind. Derived: the runs are rebuilt from the sources on every feed. Log: entries are appended and never rewritten, for data the project cannot produce again (a call as sent during a walk). The sidecar is then the only record.
- What the person does on it: compare, judge, pick, measure. The controls follow.
- Whether operating it takes steps: start the stack, hold a call, reset state, record an answer. Each becomes a script.
Build, live
- The page:
node scripts/page.mjs <path> --label "<label>", at the path theaiviewskill gives forYYYY-MM-DD-<bench>.workbench.html. Register it through theaiviewskill: kindworkbench, tags the bench andtracefor a walk, group the piece of work it serves. Open it in the watched browser. The page carries Basecoat,jsonTreeand the loader,bench; the bench's code goes between its<!-- bench-code -->markers, put on by the bench'scode.mjs. A bench that makes one page per run (a walk, a session) keeps the page's code in its skill instead, and each run's page has its own sidecar: its feed'sinitmakes each run's page, and itsrefreshputs changed code onto every page aspage.mjs --replacedoes, the code block replaced, the sidecar untouched. - The feed: copy
scripts/data-folder.mjsinto the bench skill'sscripts/and writefeed.mjsover it. It writes the sidecar, the folderYYYY-MM-DD-<bench>.workbench/beside the page. A derived feed callswriteDerivedand takes--watch. A log feed, new ones included, takes verbs that callappendEntryandannotate. Run it: the page updates in place. Before writing the feed or a view, readreferences/sidecar.md. - Then one change at a time: write it, read the screenshot, show the person, ask the next question.
The page
- The bench bar opens on the label. It is the one standard part. The rest of the bar and the page carry whatever the bench needs.
- Controls are Basecoat, shadcn's design system in plain HTML, inlined by
page.mjs:class="btn" data-variant="outline" data-size="sm",card,tabs,badge,input,select. Basecoat carries no Tailwind utilities, so layout is the page's own CSS.page.mjssets Basecoat's variables to aiview's identity, so the bench reads as part of the viewer: the bench's CSS colours through those variables (--primary,--muted,--border,--ok,--warn,--danger), never a colour of its own beyond data hues. The product the bench shows (a document, a screen, a card) is drawn in the project's design language, from thedesign-prototypeskill's reference when there is one. - JSON is always shown through
jsonTree, the readerpage.mjsinlines, with its toolbar (Fold all, Unfold all, Unfold n levels with 2 by default, Copy): never a<pre>dump or a reader of the bench's own. When the bench shows any JSON, readreferences/json-data.md. - The page opens on the current question, and each thing is shown once: a view that repeats another, or that nobody looks at any more, is removed with its code and its feed fields.
- The data is the project's, as it is. Copied byte for byte, never renamed, reshaped or summarised: the page adapts to the shape, so the bench stays as close to the real run as it can. A rendering that interprets the data is what the app already shows.
- Only the feed writes the sidecar. The agent edits the page's code, never its data.
- No CDN; data only by relative fetch into the sidecar through aiview's bridge.
The data standards
One set every bench follows; the API and the thresholds are references/sidecar.md's.
- The loader is the only reader. A view reads through
bench, never its own fetch. - Views load what they need, on demand: the manifest and one run at open, a side file only when the view that needs it opens. The feed computes nothing a view can read.
- Every view is async: drawn through
bench.view, which setsdata-readywhen drawn and renders the path and status on a fetch error. - Never a blank: a run being loaded shows
loading <run>. - Large data folds: a long text folded with its size and a show button, a large run one view at a time.
- Files are cached by name in page memory, never fetched twice.
- The person's place is kept (tab, run, view, controls) through
bench.state.
Ergonomic for the agent
- The scripts that drive the bench are built with it, each with the view or control that needs it: open a view, set its controls, screenshot it, read back what it shows as text. An agent drives the bench through them, never with hand-written browser calls.
- The loop is one command, named in the bench skill's Iterating section: feed, reload, screenshot. An agent never rebuilds it.
- The scripts are one CLI with verbs, terse by default. Each verb prints a short plain
summary (counts, what changed, what failed); the full output only with
--full, machine output with--json. The agent reads summaries and diffs, never the raw files the bench shows (a prompt, a reply, a recording): a result is checked without filling the context. - Anything can go to the person's phone in one command, without passing through the
agent's context. A
shotverb with--mobiletakes a phone-width PNG of any view, with one item opened if asked, and prints only its path.--mdon the reading verbs also writes the output as a short markdown file laid out for a phone: lists, not wide tables. The agent sends the file it names (the harness's send-file tool) and reads neither. - The bench's code is read by its marker, never the whole page: Basecoat and the JSON reader are inlined above it and cost tokens for nothing.
- The feed writes only what a view shows.
check.mjsandshot.mjsload the page at its aiview URL, neverfile://, wait ondata-ready, and fail ondata-error.
Reworking an existing bench
A bench whose data sits in the page (made before the sidecar, fed through
scripts/data-block.mjs) opens and feeds as it did; no mechanism upgrades it. When it is next
worked on, it is reworked to this shape: page made fresh by page.mjs --replace at the same
path, code put back by code.mjs, sidecar filled by the feed. Read references/sidecar.md
first; its last section is the order.
The bench's skill
workbench-<bench>/SKILL.md in the folder the project already uses for local skills,
.claude/skills/ when it has none, with every deterministic step a script in its
scripts/. Written to the shape in bench-skill.md, read before its first line: the
sentences outside its brackets are carried as written.
Prove it
Run the feed from a clean shell, see the page reload with real data in the watched browser, and walk once, with the person, what they do on it. A bench whose feed has not run is not handed over.
Handoff
The page's URL, the skill's path, the sources and the feed's kind, what was walked.
Red flags
| Thought | Reality |
| "I'll map the data to a cleaner shape for the page" | The page adapts to the project's shape. A translation hides what the app really produced, and drifts from it unseen. |
| "Quicker to paste the data into the page" | Only the feed writes the sidecar. A pasted copy is stale on the next run and nothing says so. |
| "I'll keep the old view in case" | A dropped idea leaves with its view, its code and its feed fields, in the same change. A bench that only grows is slow for both users. |
"This JSON is small, a <pre> will do" | Every JSON goes through jsonTree, with its toolbar. One reader, read the same way everywhere. |
| "The feed can sit next to the page in the data home" | It reads the project, so it lives in the project's skill. In the data home it breaks without anyone seeing. |
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

