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Update memory instruction
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.ai-devkit.json

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{
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"version": "0.4.2",
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"environments": [
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"antigravity"
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"cursor",
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"claude"
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],
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"initializedPhases": [
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"requirements",
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"testing"
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],
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"createdAt": "2025-12-28T13:35:45.251Z",
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"updatedAt": "2026-01-15T18:27:24.093Z"
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"updatedAt": "2026-01-25T14:05:14.517Z"
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}

.claude/commands/capture-knowledge.md

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---
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description: Capture structured knowledge about a code entry point and save it to the knowledge docs.
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---
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# Knowledge Capture Assistant
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Guide me through creating a structured understanding of a code entry point and saving it to the knowledge docs.
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## Memory (use when helpful)
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- If you need clarification or project conventions, query `memory.searchKnowledge` with a brief task description, tags, and scope.
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- If I ask to save reusable guidance, run `/remember` (or call `memory.storeKnowledge`).
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- If MCP tools are unavailable, use `ai-devkit memory search` or `ai-devkit memory store`.
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## Step 1: Gather Context
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- Entry point (file, folder, function, API)
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- Why this entry point matters (feature, bug, investigation)

.claude/commands/check-implementation.md

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Compare the current implementation with the design in docs/ai/design/ and requirements in docs/ai/requirements/. Please follow this structured review:
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---
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description: Compare implementation with design and requirements docs to ensure alignment.
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---
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## Memory (use when helpful)
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- If you need clarification or project conventions, query `memory.searchKnowledge` with a brief task description, tags, and scope.
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- If I ask to save reusable guidance, run `/remember` (or call `memory.storeKnowledge`).
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- If MCP tools are unavailable, use `ai-devkit memory search` or `ai-devkit memory store`.
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Compare the current implementation with the design in docs/ai/design/ and requirements in docs/ai/requirements/. Please follow this structured review:
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1. Ask me for:
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- Feature/branch description

.claude/commands/code-review.md

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---
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description: Perform a local code review before pushing changes, ensuring alignment with design docs and best practices.
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---
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# Local Code Review Assistant
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You are helping me perform a local code review **before** I push changes. Please follow this structured workflow.
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## Memory (use when helpful)
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- If you need clarification or project conventions, query `memory.searchKnowledge` with a brief task description, tags, and scope.
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- If I ask to save reusable guidance, run `/remember` (or call `memory.storeKnowledge`).
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- If MCP tools are unavailable, use `ai-devkit memory search` or `ai-devkit memory store`.
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## Step 1: Gather Context
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Ask me for:
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- Brief feature/branch description

.claude/commands/debug.md

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---
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description: Guide me through debugging a code issue by clarifying expectations, identifying gaps, and agreeing on a fix plan before changing code.
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---
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# Local Debugging Assistant
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Help me debug an issue by clarifying expectations, identifying gaps, and agreeing on a fix plan before changing code.
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## Memory (use when helpful)
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- If you need clarification or project conventions, query `memory.searchKnowledge` with a brief task description, tags, and scope.
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- If I ask to save reusable guidance, run `/remember` (or call `memory.storeKnowledge`).
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- If MCP tools are unavailable, use `ai-devkit memory search` or `ai-devkit memory store`.
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## Step 1: Gather Context
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Ask me for:
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- Brief issue description (what is happening?)

.claude/commands/execute-plan.md

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---
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description: Execute a feature plan interactively, guiding me through each task while referencing relevant docs and updating status.
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---
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# Feature Plan Execution Assistant
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Help me work through a feature plan one task at a time.
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## Memory (use when helpful)
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- If you need clarification or project conventions, query `memory.searchKnowledge` with a brief task description, tags, and scope.
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- If I ask to save reusable guidance, run `/remember` (or call `memory.storeKnowledge`).
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- If MCP tools are unavailable, use `ai-devkit memory search` or `ai-devkit memory store`.
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## Step 1: Gather Context
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Ask me for:
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- Feature name (kebab-case, e.g., `user-authentication`)

.claude/commands/new-requirement.md

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I want to add a new feature/requirement. Please guide me through the complete development workflow:
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---
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description: Add new feature/requirement documentation and guide me through the development workflow from requirements to testing.
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---
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## Memory (use when helpful)
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- If you need clarification or project conventions, query `memory.searchKnowledge` with a brief task description, tags, and scope.
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- If I ask to save reusable guidance, run `/remember` (or call `memory.storeKnowledge`).
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- If MCP tools are unavailable, use `ai-devkit memory search` or `ai-devkit memory store`.
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I want to add a new feature/requirement. Please guide me through the complete development workflow:
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## Step 1: Capture Requirement
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First, ask me:

.claude/commands/remember.md

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description: Store reusable guidance in the knowledge memory service.
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---
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# Remember Knowledge
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When I say "remember this" or want to save a reusable rule, help me store it in the knowledge memory service.
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## Step 1: Capture Knowledge
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## Step 3: Store
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Call `memory.storeKnowledge` with title, content, tags, scope.
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If MCP tools are unavailable, use `ai-devkit memory store` instead.
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If MCP tools are unavailable, use `npx ai-devkit memory store` instead.
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## Step 4: Confirm
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Summarize what was saved and offer to store more knowledge if needed.
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Summarize what was saved and offer to store more knowledge if needed.

.claude/commands/review-design.md

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Review the design documentation in docs/ai/design/feature-{name}.md (and the project-level README if relevant). Summarize:
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description: Review the design documentation for a feature to ensure completeness and accuracy.
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---
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## Memory (use when helpful)
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- If you need clarification or project conventions, query `memory.searchKnowledge` with a brief task description, tags, and scope.
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- If I ask to save reusable guidance, run `/remember` (or call `memory.storeKnowledge`).
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- If MCP tools are unavailable, use `ai-devkit memory search` or `ai-devkit memory store`.
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Review the design documentation in docs/ai/design/feature-{name}.md (and the project-level README if relevant). Summarize:
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- Architecture overview (ensure mermaid diagram is present and accurate)
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- Key components and their responsibilities

.claude/commands/review-requirements.md

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Please review `docs/ai/requirements/feature-{name}.md` and the project-level template `docs/ai/requirements/README.md` to ensure structure and content alignment. Summarize:
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---
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description: Review the requirements documentation for a feature to ensure completeness and alignment with project standards.
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---
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## Memory (use when helpful)
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- If you need clarification or project conventions, query `memory.searchKnowledge` with a brief task description, tags, and scope.
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- If I ask to save reusable guidance, run `/remember` (or call `memory.storeKnowledge`).
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- If MCP tools are unavailable, use `ai-devkit memory search` or `ai-devkit memory store`.
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Please review `docs/ai/requirements/feature-{name}.md` and the project-level template `docs/ai/requirements/README.md` to ensure structure and content alignment. Summarize:
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- Core problem statement and affected users
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- Goals, non-goals, and success criteria

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