複数のアプリやMCPホストからブランド画像・動画を生成、調整、書き出し、挿入する作業を支援します。ライブラリ選択や修正依頼も扱います。
- スライド用のブランド画像を作りたいとき
- 既存素材をフィードバックに合わせて直したいとき
- 動画素材を生成して書き出したいとき
繰り返し使える業務フローやスキル、表計算シートを、作業対象とエージェント操作を備えたアプリに仕立てます。画面設計から構築、動作確認まで進めます。
Turns a thread, skill, spreadsheet, or Claude/ChatGPT project into a polished, visual Agent-Native app: populated domain screens with the in-app agent working behind contextual controls. Use when a user invokes `/turn-into-app`, or asks to turn a workflow, skill, spreadsheet, or project into an app, UI, workbench, or dashboard, including from Claude or ChatGPT on the web.
実行スコア 未検証
インストール方法を見る繰り返し利用できる仕事の流れやスキル、表計算シート、プロジェクトを、専用画面を持つアプリとして構築します。まず元資料から作業内容や入力・出力、注意すべきデータを整理し、画面の構成やデザイン方針を決めます。そのうえで、実際の作業対象が表示された画面と、対象に応じてエージェントへ依頼できる操作を組み立てます。ローカル環境では足場となるアプリを作成し、画面の確認や型チェック、ビルドまで進めます。ブラウザー上のClaudeやChatGPTなど、ファイルを編集できない環境では、指定の手順で作業を引き継ぎます。
毎回チャットで指示する仕事に、一覧や作業台、ダッシュボードなど専用の画面が必要になったときに向いています。表計算シートの内容をそのまま複製するのではなく、入力や結果を扱う業務画面にしたい場合にも使えます。元資料から繰り返し可能な作業が特定できない場合は、不足点を示して確認します。
ローカルで構築する場合はNode.js 22.22.0以降とpnpmが必要です。ブラウザー上の環境ではファイル編集やサーバー起動を行わず、Dispatchへの引き継ぎ手順を使います。表計算シートの読み取りには、接続済みのSheetsまたはDrive、あるいはエクスポートが必要な場合があります。
この紹介文は、公開されている SKILL.md をもとに AI(OpenAI Codex)が作成しました。正確な仕様は下の原文を確認してください。
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Give a proven workflow an Agent-Native app face and agent brain. Start with populated domain screens. Object controls send work to the agent; the object shows progress and receives the result. Avoid form-under-stepper layouts.
start-workspace-app-creation or
create_workspace_app on this path.npm,
pnpm, or npx, edit files, or start a server there, and never invent a
Builder branch URL: report what Dispatch returned./turn-into-app /some-skill), read that skill and package
it immediately, even at the start of a thread. A supplied path or attachment
is the source.Project context counts only when the host puts it in the current context. The MCP connector does not read hidden project chats, private URLs, account settings, or credentials. Never claim private access, invent an importer, add fake OAuth, or scrape a logged-in page; ask for an export.
Read the spreadsheet guide before working a workbook. The boundaries:
Decide and proceed. Take the source's recommended option, otherwise the most conventional default, and record it as an assumption. Never ask about visuals, copy, layout, template, or integrations.
Ask once, with your recommended interpretation, only when:
Headless means no question tool and no live chat (claude -p, codex exec,
a harness, a scheduled or delegated run, a prompt saying nobody can answer);
when unsure, assume headless. Interactive: ask with the question tool, or end
your message with the question and your recommendation. Headless: never end
the turn on a question. For reasons 1 and 2, print it with your
recommendation, record the assumption in the brief, and keep building (stop
and report only when nothing is identifiable); for reason 3, skip the blocked
step (no write, deploy, or guessed workspace), finish the rest, and report it
as pending. Confirmation happens in the conversation; the generated app never
opens on a mapping or setup screen.
Copy and update this checklist. Aim for 45 minutes; note the start time
(date). If review starts after 35 minutes, run one pass and list open criteria.
- [ ] 0 Host classified, source picked
- [ ] 1 Source read, brief drafted
- [ ] 2 Design decided, brief posted with App design
- [ ] 3 Real scaffold, onboarding config, local sign-in
- [ ] 4 Actions, domain surface, sample data, agent moments, agent instructions
- [ ] 5 Running; screenshots reviewed and refined (two passes by default)
- [ ] 6 Typecheck, doctor, build; final report with evidence labels
Read the whole source (a large workbook or export in bounded chunks), then fill in the source-brief template; it has a reading recipe per source type. It names the job, at most three agent moments, the invariants, data hazards, source of truth, and assumptions. Never turn a one-off answer, private data, or an unverified result into product behavior.
Read the UI direction guide now. Decide these and add them to the brief under App design:
app.homePath), domain navigation, chat kept as its own destination, panes
that fill the viewport, and the header title as the only page title.Source steps become states of objects (Draft, Checked, Approved), never a stepper, numbered tabs, or a wizard. Chrome stays quiet: no eyebrow, subtitle, repeated title, or stat strip over visible data. Post the brief once, with its App design, before the first scaffold command, as a checkpoint, and continue without waiting.
Before the first command, name the steps (install, scaffold, checks, dev server, headless browser) and estimate work time from the source and host. Separate external setup waits, so delays are expected.
Choose a short slug and never overwrite an app. Run standalone creation from its parent directory, noting that the nested app is its own Git repository:
npx --yes @agent-native/core@latest create <slug> --standalone --template chat
cd <slug>
pnpm install
Inside an existing Agent-Native workspace (a parent package.json has
agent-native.workspaceCore; create beneath it delegates to add-app), run
from the workspace root:
pnpm exec agent-native add-app <slug> --template chat
Read the generated AGENTS.md and any build-an-app skill. This skill
overrides guidance that skips the design record, screenshots, or build; leaves
DESIGN.md unchanged; omits AUTH_DISABLED or says not to set it; or stops
the dev server. Use another first-party template only if it materially fits.
If a scaffold or install step fails, times out (no output for 5 minutes), or is denied, the app does not exist yet. Retry once where a retry could help, then stop and report the exact command, the failure, and what is on disk. Never hand-build the app in another stack, edit a pinned dependency version to force an install, or continue in a half-created directory; a workaround the user requests is named in the report.
Before resuming, inspect the target and verify completed stages. Tell the user what exists, the next stage, and estimated active work; resume at the first unverified stage without rerunning scaffolding or replacing completed work.
Then save the brief as docs/brief.md, append the domain surface's design to
DESIGN.md (UI direction guide, section 4), and follow
the run and deploy guide to set
onboarding.firstRun in agent-native.json (the shared Use Builder.io /
Custom keys setup; never a second credential form or a hardcoded key) and
AUTH_DISABLED=1 in the ignored .env before the first screenshot (loopback
only, never committed or deployed).
defineAction files in actions/. The UI calls
them with useActionQuery and useActionMutation from
@agent-native/core/client/hooks; the agent calls the same actions. No
/api/* route for app data and no LLM call from the browser.@agent-native/core/local-artifacts, per the scaffold's storing-data
skill), SQL holds only an index, and the app is local-only. Files a thread's
run happened to write are examples, not the source of truth.sendToAgentChat from @agent-native/core/client/agent-chat with
openSidebar: true, chatTarget: "local", ids and a bounded summary in
context, and submit: true (false when the user should edit the prompt
first). The object shows its working state at once, never stays busy without
a run behind it, and receives the result through an action, with attribution
and Accept, Edit, Retry (UI direction guide, section 7). Follow-ups stay in
the same thread; no second prompt box. Label deterministic controls plainly,
and never use sparkle, wand, magic, or robot icons.AGENTS.md, the
system prompt, and the display name (UI direction guide, section 5).AgentSidebar with one AgentKit
controller and transport: no legacy AssistantChat, no second stream owner.A spreadsheet becomes a live workbench, not a sheet clone (spreadsheet guide, section 5).
Start the dev server as the run and deploy guide says (detached, log and PID in
.tmp/, polled until it answers 200), then follow
the review loop:
/ (desktop and phone, light and dark, then the main agent control
clicked). It must land on the domain route; a sign-in card or a restarting
server is not a pass./ off
the domain route, an empty or form-only first viewport, scaffold tokens,
clipped text, raw markdown, sideways scroll, console errors) overrides the
mean.Screenshots stay in the app's .tmp/ui-review/out/.
Exercise the real path, not only the files: / opens the domain route with
sample data; every AI-labeled control opens the sidebar with its bounded
prompt (with a provider, the result lands and persists; without one, the
object does not stay busy, and say so); actions persist (read the row back);
application state updates.
Run pnpm typecheck and pnpm agent-native:doctor (plain pnpm doctor is
pnpm's own command), then stop the dev server, remove AUTH_DISABLED from
.env, and run pnpm build. Fix a non-zero exit or a doctor finding; the
"production configuration errors" block printed with exit 0 is the deploy
checklist, not a defect (run and deploy guide). Deploy only when the user
asked or the provider is already configured. Leave the dev server running
(start it again after the build) or stop it as that guide says, and report
which. Label evidence separately:
locally running, locally verified, build-ready, deployed, and live-verified
are different states.
Keep it demo-short. The first line is the verdict ("Built X in <dir>;
locally verified, not deployed"). Then: the app directory, local URL, and
server state (PID and stop command); the archetype, the direction, and what
each control does (agent handoff or local action); absolute paths of the final
screenshots, rubric scores, and open criteria; the verification, with evidence
labels, and what the review click left behind; a deployment URL only if it is
real, and one precise pending step if any; what changed from the brief
(assumptions, gaps in the source, choices where it was silent).
Report what exists, not what was intended. Never claim the app exists without a path and a verification result. If the scaffold never completed, a step was worked around, or the app is not the real Agent-Native scaffold, that is the headline, and the build is not complete.
turn-into-skill packages a workflow that needs no UI. Design skills, if
installed, join in step 5.
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複数のアプリやMCPホストからブランド画像・動画を生成、調整、書き出し、挿入する作業を支援します。ライブラリ選択や修正依頼も扱います。
特定の顧客企業について、契約と製品利用の数値を照らし合わせ、根拠や不足情報を明記した健全性レポートをまとめます。
アプリの操作をエージェントと画面の両方から呼び出せるアクションとして実装し、API連携や画面のデータ取得を一貫した形で追加するスキルです。
新機能をUI・エージェント用アクション・説明資料・画面状態の4領域でそろえ、利用者とエージェントのどちらからも一貫して使えるようにするチェックリストです。
複数のデータソースを照合して、傾向や指標、根拠をまとめた分析結果を作成します。必要に応じて、再実行できるダッシュボードとして保存できます。
Analyticsの管理画面で、機能フラグの状態確認と切り替え、ダッシュボード利用状況の調査、接続先アプリのデータベース管理を行います。