# AGENTS.md — Build guide for AnyList Complete ## Project scope Plan three household dinners, scale recipe portions into a shared grocery list, group items by aisle and let two members check off purchases. Catalogue verdict: yes. The core loop is small enough for a capable coding agent to produce a useful local version in one sitting. For AnyList Complete, manage shared grocery lists, recipes, and meal plans with a simple household sync server. The hard boundary is excellent mobile capture, retailer integrations, voice assistants, and polished sharing, plus sync, integrations, and household adoption. Use the implementation prompt below to define the deliverable. Complete each phase's acceptance checks before extending the scope. ## Working agreement - Inspect the repository and its existing instructions before choosing paths, dependencies or commands. Keep one coherent stack and explain changes to the proposed architecture. - Plan a vertical slice that accepts a real input and produces the useful output described below. Persist only the state the prompt calls for; respect memory-only and upstream-managed workflows. Use fixtures only when they are clearly labelled. - After scaffolding, document the actual install, development, check and build commands in README and keep them synchronized with the package or project manifest. Do not report commands as successful unless they ran. - Work in small steps. At handoff, list implemented flows, checks actually performed, remaining blockers, and any credentials or provider setup the owner must supply. - Do not publish, spend money, contact customers, delete source data or run irreversible migrations without the project owner's authorization. ## Prerequisites - Runtime and tools: TypeScript, React, Node and PostgreSQL with workspace membership enforced on the server. - Before starting: A PostgreSQL database, session authentication, two isolated example workspaces and private attachment storage. ## Stack and architecture - TypeScript, React, Node and PostgreSQL with workspace membership enforced on the server - Data design: Store Household, RecipeVersion, IngredientAmount, MealSlot and GroceryItem; merge only compatible normalized units and retain which meals contributed to a shopping item. - Setup: A PostgreSQL database, session authentication, two isolated example workspaces and private attachment storage ## Security and data integrity - Check membership on reads, mutations, attachments and exports. Keep activity history separate from editable current state; do not make private records public through search. - Invitations must be revocable and household-scoped. Recipe import is best effort from permitted pages with editable results; do not bypass paywalls or invent ingredient conversions. - Keep secrets outside client bundles and exported projects; document what leaves the device and make retention/deletion controls visible. ## Agent implementation rules - Project rule — domain: Store Household, RecipeVersion, IngredientAmount, MealSlot and GroceryItem; merge only compatible normalized units and retain which meals contributed to a shopping item. - Project rule — scope and recovery: Invitations must be revocable and household-scoped. Recipe import is best effort from permitted pages with editable results; do not bypass paywalls or invent ingredient conversions. - Project rule — acceptance: Add two recipes using grams of rice and one using cups; gram quantities combine, cups stay distinct, and undoing one meal removes only its contribution. - Project rule — delivery: document real setup commands and permissions; do not claim a build, accuracy level, performance result or security certification that has not been demonstrated. ## Optional agent skills and references - Recommended skill: [supabase-postgres-best-practices](https://github.com/supabase/agent-skills/blob/main/skills/supabase-postgres-best-practices/SKILL.md) — review this PostgreSQL domain schema, uniqueness constraints, transaction boundaries and access-scoped queries; Supabase hosting is not required. Follow the maintainer's installation instructions and match its requirements to the chosen runtime. - Recommended skill: [web-design-guidelines](https://github.com/vercel-labs/agent-skills/blob/main/skills/web-design-guidelines/SKILL.md) — review keyboard access, focus, validation, error recovery and the readable work/review interface or HTML report. Follow the maintainer's installation instructions and match its requirements to the chosen runtime. Read the linked SKILL.md and its dependencies before adding a skill. Select only the skills matching this project's runtime and task; their documentation does not supply API access, credentials or approval to perform external actions. Pin the reviewed revision where the tool supports it. Follow the chosen agent's documented project-level installation mechanism. ## Distribution ideas These are optional planning notes. Obtain the owner's approval before publishing or contacting anyone. - Demonstrate this working slice using synthetic or explicitly authorized non-sensitive examples: Plan three household dinners, scale recipe portions into a shared grocery list, group items by aisle and let two members check off purchases. - Share a synthetic example export and the acceptance walkthrough; keep real customer, health, financial and source data private: Add two recipes using grams of rice and one using cups; gram quantities combine, cups stay distinct, and undoing one meal removes only its contribution. - State the limits before asking someone to replace their existing tool: Invitations must be revocable and household-scoped. Recipe import is best effort from permitted pages with editable results; do not bypass paywalls or invent ingredient conversions. ## Engineering roadmap 1. Phase 1 — Pin the working slice and create its example input: Plan three household dinners, scale recipe portions into a shared grocery list, group items by aisle and let two members check off purchases. Confirm setup: A PostgreSQL database, session authentication, two isolated example workspaces and private attachment storage. 2. Phase 2 — Implement persistence and write-time invariants before decorating the UI: Store Household, RecipeVersion, IngredientAmount, MealSlot and GroceryItem; merge only compatible normalized units and retain which meals contributed to a shopping item. 3. Phase 3 — Connect the working view to real saved state. Check membership on reads, mutations, attachments and exports. Keep activity history separate from editable current state; do not make private records public through search. 4. Phase 4 — Expose the app-specific limits and recovery path in context: Invitations must be revocable and household-scoped. Recipe import is best effort from permitted pages with editable results; do not bypass paywalls or invent ingredient conversions. 5. Phase 5 — Walk through this concrete acceptance case and preserve its exported evidence: Add two recipes using grams of rice and one using cups; gram quantities combine, cups stay distinct, and undoing one meal removes only its contribution. Finish the README and backup/restore instructions; report unfinished capabilities explicitly. ## Paid-product capabilities outside this build - excellent mobile capture, retailer integrations, voice assistants, and polished sharing - frictionless family sync - retailer and smart-home integrations - large recipe or product database - mobile polish ## Implementation prompt Build the following focused alternative to AnyList Complete. Implement the focused workflow below first; the verdict is not evidence of a completed or production-certified build. WORKING SLICE Plan three household dinners, scale recipe portions into a shared grocery list, group items by aisle and let two members check off purchases. SETUP AND ARCHITECTURE Use TypeScript, React, Node and PostgreSQL with workspace membership enforced on the server. Prerequisites: A PostgreSQL database, session authentication, two isolated example workspaces and private attachment storage. Before integrating anything, record actual versions and permissions, plus model files or provider limits only where used, in the README; make unavailable dependencies visible rather than simulating success. DOMAIN MODEL AND INVARIANTS Store Household, RecipeVersion, IngredientAmount, MealSlot and GroceryItem; merge only compatible normalized units and retain which meals contributed to a shopping item. IMPLEMENTATION CONTRACT Check membership on reads, mutations, attachments and exports. Keep activity history separate from editable current state; do not make private records public through search. Provide an input/setup view, the main work view, and a review/export view appropriate to this workflow. Preserve the last saved state if a job or save fails. Include empty, loading, permission-denied, partial and retryable-error states. Log identifiers and error categories without secret values or unnecessary private content. APP-SPECIFIC BOUNDARY AND RECOVERY Invitations must be revocable and household-scoped. Recipe import is best effort from permitted pages with editable results; do not bypass paywalls or invent ingredient conversions. ACCEPTANCE SCENARIO Add two recipes using grams of rice and one using cups; gram quantities combine, cups stay distinct, and undoing one meal removes only its contribution. Also reopen the app after an interrupted operation, confirm the saved record/export remains inspectable, and document the recovery action. These are implementation acceptance requirements, not a claim that this guide has been tested. DELIVERY Deliver a runnable repository with migrations or project-format versioning, a non-sensitive example, environment/permission setup, the exact manual acceptance steps, and a backup/export-and-restore walkthrough. Implement the working slice before optional integrations; list any deferred paid-product capabilities honestly. Do not add capabilities outside the working slice just to resemble the original product. PROJECT RULES FOR AGENTS.md Keep the domain invariants above executable at the write boundary. Propose scope changes before adding providers or permissions. Never fabricate source evidence, publish results, identity matches or successful delivery. Preserve user originals and require an explicit confirmation for destructive changes or external publication. ## Completion evidence Demonstrate the prompt's acceptance scenarios against the scoped workflow. Include setup from a clean checkout and failure recovery. Check persistence across restart and export/restore only for the state the prompt says to store; for memory-only tools, confirm that temporary content is discarded as specified. Record actual results and remaining limitations. A detailed plan alone does not establish a working replacement.