Add a new expert to the Remotion experts page
日本語の概要は準備中です。原文の説明を表示しています。
When mktg-studio is running on this machine, /cmo proactively narrates work into the dashboard via Bash + curl against the localhost HTTP API. Detect via /api/health, then log every meaningful action — the user sees what /cmo is doing in real time.
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。
mktg-studio is the local dashboard that visualises everything you do.
When it's running, the user has a browser open at http://localhost:3000
showing primary surfaces (Pulse, Signals, Publish, Brand) and an Activity
panel on the right. Trend radar lives inside Signals. Audience summary and
recommended next actions live inside Pulse.
This skill teaches you to drive that dashboard without being asked. No
SDKs. No special tools. Every action is a curl you already know how to
write.
On every turn, before doing anything else marketing-y, run:
STUDIO=${STUDIO_BASE:-http://localhost:3001}
curl -fsS -m 2 "$STUDIO/api/health" >/dev/null 2>&1 && STUDIO_UP=1 || STUDIO_UP=0
STUDIO_UP=1 → studio is up, follow the rules belowSTUDIO_UP=0 → studio is down, behave exactly as you would in a
CLI-only setup. Don't surface the unreachable studio to the user — they
probably don't have it open.Cache the result for the rest of the turn — don't hammer health.
If you want to confirm the wire shapes you're about to send, fetch the schema once per session (it's static):
curl -fsS "$STUDIO/api/schema" | jq '.routes[].path'
curl -fsS "$STUDIO/api/schema?route=/api/activity/log" | jq
curl -fsS "$STUDIO/api/help" | jq '.data.entryPoints'
Every meaningful action you take should map to one or more of these endpoints. Skip them when they don't apply — don't be noisy.
| Verb | Endpoint | Call when |
|---|---|---|
| Log | POST /api/activity/log | After running any skill, writing a brand file, sending a publish, calling out errors. One entry per discrete action. |
| Note | POST /api/brand/note or POST /api/brand/write | When you've created or edited a brand/*.md file. /write is the agent-native path (lock-protected); /note is the lightweight "fyi I edited this externally" path. |
| Push | POST /api/opportunities/push | When your analysis surfaces a recommended next action. Set priority 0-100 — be honest about urgency. |
| Toast | POST /api/toast | Inline confirmations the user should see immediately. level: "success" | "info" | "warn" | "error". |
| Navigate | POST /api/navigate | When the result of your work lives on a specific surface and you want the user to look there. Valid tabs: pulse, signals, publish, brand. Use {"tab":"signals"} for Trend radar (filter.mode is dropped server-side; do not send it). Example: after landscape-scan finishes, switch to Signals/Trend radar; after brand-voice or voice-extraction, switch to brand. |
# Log a skill run
curl -fsS -X POST "$STUDIO/api/activity/log" \
-H 'content-type: application/json' \
-d '{"kind":"skill-run","skill":"landscape-scan","summary":"Refreshed landscape, 5 new claims","filesChanged":["brand/landscape.md"]}'
# Note a brand-file write (excerpt is the first ~800 chars)
EXCERPT=$(head -c 800 brand/voice-profile.md | jq -Rs .)
curl -fsS -X POST "$STUDIO/api/brand/note" \
-H 'content-type: application/json' \
-d "{\"file\":\"brand/voice-profile.md\",\"excerpt\":$EXCERPT}"
# Push an opportunity
curl -fsS -X POST "$STUDIO/api/opportunities/push" \
-H 'content-type: application/json' \
-d '{"skill":"keyword-research","reason":"You have a landscape but no keyword-plan yet — that gates seo-content","priority":80}'
# Toast
curl -fsS -X POST "$STUDIO/api/toast" \
-H 'content-type: application/json' \
-d '{"level":"success","message":"Landscape refreshed — see Trend radar"}'
# Navigate
curl -fsS -X POST "$STUDIO/api/navigate" \
-H 'content-type: application/json' \
-d '{"tab":"signals"}'
Writing a brand file directly with the Write tool works but doesn't update the studio. Prefer the HTTP path:
# 1. Read current content + grab the mtime for optimistic locking
RES=$(curl -fsS "$STUDIO/api/brand/read?file=voice-profile.md")
MTIME=$(echo "$RES" | jq -r '.data.mtime')
# 2. Build new content in-memory (your editing logic here)
CONTENT=$(jq -Rs . < new-voice-profile.md)
# 3. Atomic write — fires brand-file-changed SSE so dependent tabs refresh
curl -fsS -X POST "$STUDIO/api/brand/write" \
-H 'content-type: application/json' \
-d "{\"file\":\"voice-profile.md\",\"content\":$CONTENT,\"expectedMtime\":\"$MTIME\"}"
# 4. Log the activity
curl -fsS -X POST "$STUDIO/api/activity/log" \
-H 'content-type: application/json' \
-d '{"kind":"brand-write","filesChanged":["brand/voice-profile.md"],"summary":"Made the voice more casual — 3 anchor sentences swapped"}'
If the user edited the same file in their text editor while you were
writing, the expectedMtime mismatch returns 409 CONFLICT with a fix
hint pointing back to /api/brand/read to re-fetch + merge.
If you need to re-research a brand file, queue the owning skill:
curl -fsS -X POST "$STUDIO/api/brand/regenerate" \
-H 'content-type: application/json' \
-d '{"file":"landscape.md"}'
# → { ok: true, data: { jobId, skill, file } }
# poll via curl -fsS "$STUDIO/api/jobs/<jobId>" or watch /api/events
A typical /cmo turn that runs a skill, writes a brand file, and recommends a next action:
STUDIO=${STUDIO_BASE:-http://localhost:3001}
curl -fsS -m 2 "$STUDIO/api/health" >/dev/null || exit 0 # 1. detect
curl -fsS -X POST "$STUDIO/api/activity/log" -H 'content-type: application/json' \
-d '{"kind":"skill-run","skill":"landscape-scan","summary":"Refreshing landscape from 18 sources"}'
# 2. (do the actual work — Exa search, write brand/landscape.md)
EXCERPT=$(head -c 800 brand/landscape.md | jq -Rs .)
curl -fsS -X POST "$STUDIO/api/brand/note" -H 'content-type: application/json' \
-d "{\"file\":\"brand/landscape.md\",\"excerpt\":$EXCERPT}"
curl -fsS -X POST "$STUDIO/api/activity/log" -H 'content-type: application/json' \
-d '{"kind":"skill-run","skill":"landscape-scan","summary":"Done — 5 new claims, 2 deprecated","filesChanged":["brand/landscape.md"]}'
curl -fsS -X POST "$STUDIO/api/opportunities/push" -H 'content-type: application/json' \
-d '{"skill":"competitor-alternatives","reason":"Fresh landscape — write 3 X vs Y pages","priority":75}'
curl -fsS -X POST "$STUDIO/api/navigate" -H 'content-type: application/json' \
-d '{"tab":"signals"}'
curl -fsS -X POST "$STUDIO/api/toast" -H 'content-type: application/json' \
-d '{"level":"success","message":"Landscape refreshed — see Trend radar"}'
Eight calls. Each one is fire-and-forget, returns under 50ms, and the dashboard updates in real time via SSE. The user watches the work happen.
{ok: true, ...} or {ok: false, error: {code, message, fix?}}. Predictable envelope.ok/data wrapper): GET /api/opportunities, GET /api/audience/profiles, GET /api/briefs. Treat a 200 with the expected top-level keys (opportunities, profiles, briefs) as success; don't look for .ok on these three.{ok: false} with a fix field, surface or follow it — it's agent-actionable by design./api/navigate and /api/toast are SSE-only (no DB write). Spamming them is harmless but ugly. Send one navigate per logical destination change, one toast per user-facing milestone.?dryRun=true — append it during development to validate request shape without side effects.POST /api/navigate between every step of a multi-skill playbook — switch tabs once, at the end, when the user should look at the result.POST /api/toast for routine logs — that's what /api/activity/log is for. Toasts are for things the user should drop everything and notice.POST /api/brand/write outside brand/*.md — the path validator rejects everything else with BAD_INPUT./api/schema more than once per session — the wire shape is static within a server boot.docs/cmo-integration.mdGET /api/schema, GET /api/helpdocs/DEMO.mdまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Add a new expert to the Remotion experts page
日本語の概要は準備中です。原文の説明を表示しています。
Add a new sound effect to @remotion/sfx
日本語の概要は準備中です。原文の説明を表示しています。
Use when setting up a secure email inbox for any AI agent — configuring inbound email via Resend, webhooks, tunneling for local development, and implementing security measures to prevent prompt injection attacks. Also use when someone mentions 'agent email', 'bot inbox', 'receive emails for agent', 'agent webhook', 'email security for AI', 'prompt injection via email', 'inbound email for bot', or wants their AI agent to receive and respond to emails securely.
日本語の概要は準備中です。原文の説明を表示しています。
Builds, measures, and improves an Answer Engine Optimization program across ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, and Copilot. Use for AEO, GEO, LLMO, AI search visibility, AI citations, brand mentions, answer-engine monitoring, llms.txt, AI crawler audits, or questions like 'what does AI say about us?' and 'why are competitors cited instead of us?'. Produces a durable evidence report and prioritized gameplan, not a one-shot content checklist.
日本語の概要は準備中です。原文の説明を表示しています。
Generate Apple App Store screenshot pages as a Next.js app with html-to-image export at required resolutions. Screenshots are advertisements, not documentation — every screenshot sells one idea. Use when building App Store screenshots, generating exportable marketing screenshots for iOS apps, or creating programmatic screenshot generators. Triggers on 'app store screenshots', 'App Store', 'screenshot generator', 'iOS screenshots', 'marketing screenshots', 'phone mockup', 'ASO screenshots', 'app store assets', 'app listing', 'app store page', or 'app preview images'. Also use when someone is about to submit an app and needs store assets, or when they say 'make my app store page look good'. Includes iPhone and iPad mockup components with pre-measured dimensions.
日本語の概要は準備中です。原文の説明を表示しています。
Build detailed buyer personas and audience profiles from research. Use this skill whenever the user mentions audience, buyer persona, ideal customer, target market, ICP, watering holes, 'who am I selling to', customer research, or audience profile. Also use when content feels unfocused or generic (that's an audience problem), when conversion is low because messaging doesn't resonate, when starting any new project (audience should be first), or when any downstream skill needs audience.md but it doesn't exist yet. Even if the user doesn't explicitly ask for audience research, trigger this if they're writing copy or building a landing page without a clear audience defined. Three approaches: Quick Profile, Persona Build, Community Mining.
日本語の概要は準備中です。原文の説明を表示しています。