
DoorDash Order Playbooks
FreeManage and automate your DoorDash orders with ease.
Free · Opens the source repo
What DoorDash Order Playbooks does
DoorDash Order Playbooks is a command-line skill designed to streamline the process of reordering food through DoorDash. By allowing users to create named, context-specific saved orders, it enhances the functionality of the DoorDash CLI (dd-cli) by adding a layer of safety and convenience. Users can recall their favorite meals using intuitive phrases like "order my post-gym bowl" or "the usual after the gym," ensuring that they can quickly get their desired meals without the hassle of searching through order history.
One of the key features of this skill is its ability to detect changes in restaurant menus and pricing, which it refers to as "drift." Before providing a checkout link, the skill performs a mandatory cart comparison against the stored order details, alerting users to any discrepancies such as missing items or price increases. This ensures that users are always aware of what they are ordering, preventing any unpleasant surprises at checkout.
The skill also includes a mechanism for capturing new orders as playbooks, allowing users to save their recent orders for future use. After placing an order, users are prompted to save it, which helps build a personalized library of meals that can be easily accessed and reordered. Additionally, the skill is designed to self-heal stale playbooks, meaning that if a restaurant changes its menu, the skill will notify the user and offer alternatives if necessary.
Overall, DoorDash Order Playbooks is ideal for frequent DoorDash users who want to automate their ordering process while maintaining control over their meal choices. It combines convenience with safety, making it a valuable addition to any user's toolkit.
When to use it
Use this skill when you frequently reorder meals from DoorDash and want a reliable way to manage your saved orders.
When not to use it
This skill is not suitable for users who do not have `dd-cli` installed or are not logged into their DoorDash account, as it relies on these prerequisites to function properly.
What you can build with it
Post-Gym Order
Quickly reorder your favorite post-gym meal with a simple command, ensuring you get exactly what you expect.
Late Night Snack
Easily recall your usual late-night order without needing to search through your order history.
Menu Changes
Stay informed about any changes to your favorite restaurant's menu before placing an order, avoiding surprises.
How to install DoorDash Order Playbooks
View source1. Install with the skills CLI
npx skills add davila7/claude-code-templates/doordash-order-playbooks --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by davila7DoorDash Order Playbooks
Saved orders with names and contexts, recalled safely. A playbook maps a
human name ("post-gym", "late-night deploy", "Friday ramen") to a concrete
DoorDash order that can be rebuilt with dd-cli order reorder — plus enough
stored detail to detect drift (menu changes, price hikes, substitutions)
before the user is ever handed a checkout link.
Unofficial community skill built on DoorDash's
doordash-oss/doordash-cli.dd-climust be installed, on PATH, and logged in (dd-cli login).
Why this exists
dd-cli order history already lists past orders — but Claude has no
cross-session memory of which order is "the post-gym one", and plain
reordering silently accepts whatever the restaurant's menu says today:
substituted items, missing items, higher prices. This skill stores the
mapping AND makes a cart-diff against the stored baseline mandatory
before emitting any checkout URL. Silent drift becomes a caught event.
State
Single JSON file: ~/.claude/dd-cli/playbooks.json
{
"playbooks": {
"post-gym": {
"order_uuid": "<uuid from dd-cli order history>",
"restaurant": "Sweetgreen",
"items_summary": [
{ "name": "Harvest Bowl", "qty": 1, "price": 13.95 },
{ "name": "Lemonade", "qty": 1, "price": 3.5 }
],
"baseline_total": 17.45,
"tolerance_pct": 10,
"contexts": ["post-gym", "gym", "workout"],
"last_used": "2026-07-19",
"times_used": 4
}
},
"preflight": { "verified": false, "notes": "" }
}
Create the directory and file on first use (mkdir -p ~/.claude/dd-cli).
Prices are pre-fee subtotals — say so when presenting totals.
Preflight (first use only — REQUIRED)
This skill assumes dd-cli order reorder --order-uuid Y returns a cart-uuid
that cart show and order checkout-url accept. That handoff is
load-bearing and must be verified empirically once per install:
- Run
dd-cli order reorder --helpanddd-cli order checkout-url --helpto confirm flags. - On the first real recall, after running
reorder, confirm the output contains a cart-uuid and thatdd-cli cart show --cart-uuid <it>works. - Record the outcome in
preflight.verified(+ any format notes inpreflight.notes) so future sessions skip this step.
If the handoff does NOT work as assumed, fall back to rebuilding the cart
manually (dd-cli search → cart add-items) and record that in
preflight.notes.
Flow 1 — Recall (the main flow)
User says something like "order my post-gym bowl" / "the usual after the gym":
-
Match: fuzzy-match the request against playbook names and
contexts. Ambiguous → ask. No match → offer Flow 2 (capture) instead. -
Rebuild:
dd-cli order reorder --order-uuid <stored uuid>. Capture the cart-uuid from the output. -
MANDATORY diff: run
dd-cli cart show --cart-uuid <cart-uuid>and compare against the storeditems_summary+baseline_total:Stored Current Harvest Bowl $13.95 $14.95 ⬆ Lemonade $3.50 ❌ missing Subtotal $17.45 $14.95 Present the diff table to the user. Never skip this step, even when everything matches — say "matches your baseline" explicitly.
-
Gate: if items are missing/substituted, or the subtotal exceeds
baseline_totalby more thantolerance_pct, STOP and ask the user how to proceed (accept, edit cart viacart remove-item/cart add-items, or abort). Do NOT hand over a checkout link silently. -
Checkout: only after the diff is shown (and approved when the gate tripped):
dd-cli order checkout-url --cart-uuid <cart-uuid>. Hand the URL to the user — payment always happens on the DoorDash page, by the human. -
Update: bump
last_used/times_used; if the user accepted new prices, offer to refreshitems_summaryandbaseline_total.
Flow 2 — Capture
After ANY completed order (via playbook or bespoke), offer once — don't nag: "Want to save this as a playbook?" If yes:
dd-cli order history— take the most recent order's uuid.- Ask for a name and optional context words ("when should I suggest this?").
- Write the entry with
items_summaryandbaseline_totalfrom the cart that was just built (or from the history entry if it shows detail). - Default
tolerance_pct: 10.
Flow 3 — Staleness / self-heal
When order reorder fails or the diff shows the restaurant no longer offers
the stored items:
- Tell the user the playbook is stale and why.
dd-cli search --query "<restaurant name>"— confirm the restaurant still exists on DoorDash. Gone → offer to retire the playbook or find a replacement.- Rebuild an equivalent cart (
cart add-items, navigating with--helpas needed), confirm with the user, and after a successful checkout-url handoff refresh the playbook'sorder_uuidfromdd-cli order history.
Rules
- Never emit a checkout URL without showing the diff first. This is the contract of the skill.
- Read uuids from real command output; never fabricate or guess them.
- One capture offer per order, max. Respect a "no".
- Totals you can verify are pre-fee subtotals; final totals (fees, tip, tax) appear only on the DoorDash payment page. Say so.
- If
dd-clireports auth/waitlist errors, stop and tell the user to rundd-cli login— don't retry in a loop.
Frequently asked questions about DoorDash Order Playbooks
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