cleanup-cache
Clean system caches (npm, Homebrew, Yarn, browsers, Python/ML) to free disk space
Spend and activity report for agent-driven DoorDash ordering - reconciles the audit log against real order history and renders totals, per-restaurant breakdown, repeat rate, and abandoned-cart rate
$ npx -y skills add davila7/claude-code-templates --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
/doordash-reportContext preview
What this command does when you run it.
Spend and activity report for agent-driven DoorDash ordering - reconciles the audit log against real order history and renders totals, per-restaurant breakdown, repeat rate, and abandoned-cart rate
allowed-tools: Bash(dd-cli:*), Bash(cat:*), Bash(jq:*), Bash(wc:*), Read, Write, Edit argument-hint: [week | month] description: Spend and activity report for agent-driven DoorDash ordering - reconciles the audit log against real order history and renders totals, per-restaurant breakdown, repeat rate, and abandoned-cart rate
Report period: **$ARGUMENTS** (default: `week`)
Data sources: `~/.claude/dd-guard/audit.jsonl` (written by the doordash-audit-log hook), `~/.claude/dd-guard/ledger.jsonl` (if doordash-spend-guard is installed), and live `dd-cli order history`.
1. Run `dd-cli order history` and parse the entries (date, restaurant, total, order_uuid).
you cannot parse it confidently, fall back to **intent-only mode**: report from the audit log alone and label the report clearly as "unreconciled — based on agent activity, not confirmed orders". 2. Match `checkout_url` audit events (and ledger intents) against history entries by date proximity and cart/order uuid where visible:
3. Update `~/.claude/dd-guard/last-reconciled` with today's date. If doordash-spend-guard's ledger exists, flip matched intents to `paid` / `abandoned` exactly as `/doordash-budget reconcile` would.
DoorDash activity — week of 2026-07-13 Confirmed spend: $87.40 (prev week $52.10, +68%) Orders: 4 confirmed, 1 abandoned cart (20% abandon rate) By restaurant: Sweetgreen $34.90 (2x) · Thai Palace $28.50 · ... Repeat rate: 75% of orders were reorders/playbooks Agent activity: 12 searches, 9 cart mutations, 5 checkout URLs
label which is which.
spend line.
For questions like "what did I order most?" or "how much on ramen this month?", query the audit log with `jq` (the doordash-order-ledger skill documents recipes) — never answer from memory.
the user wants cuisine grouping; persist their corrections there.
Remind the user once to keep `~/.claude/dd-guard/` out of any repo.
Ready-to-use configurations for Anthropic's Claude Code. A comprehensive collection of AI agents, custom commands, settings, hooks, external integrations (MCPs), and project templates to enhance your development workflow.
Repo: davila7/claude-code-templates
Clean system caches (npm, Homebrew, Yarn, browsers, Python/ML) to free disk space
Create an SEO-optimized blog article for a Claude Code component with AI-generated cover image