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Merge pull request #23 from phil-man-git-hub/feature/issue-23-antigravity-setup
feat: setup Antigravity knowledge base
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‎.agent/workflows/ag-archive.md‎

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---
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description: Archive old sessions and compress insights to maintain a lean context.
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---
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1. **Identify Old Sessions**:
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- List files in \`.gemini/antigravity/sessions/\`.
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- Identify sessions older than 7 days (or whatever threshold seems appropriate).
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2. **Compress Context**:
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- Read the old session files.
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- Extract any key decisions, architectural changes, or unsolved problems that are NOT yet in \`memory/\` or \`insights/\`.
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- Update or create files in \`memory/\` or \`insights/\` with this consolidated information.
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3. **Archive**:
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- Create directory \`.gemini/antigravity/sessions/archive/\` if it doesn't exist.
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- Move the processed session files into the archive directory.
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4. **Report**:
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- Tell the user: "I have archived [N] sessions and updated our long-term memory with [X] new insights."

‎.agent/workflows/ag-capture-all.md‎

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---
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description: Capture session data to both Antigravity memory and Project AI context.
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---
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1. **Archive Antigravity Context**:
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- Run the \`/ag-archive\` workflow to summarize insights and clean up the session.
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2. **Capture Project Context**:
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- Run the project's capture script:
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\`python bin/capture-session.py\`
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3. **Bridge the Gap**:
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- (Optional) Append the Antigravity session summary to the file generated by \`capture-session.py\` (if accessible) to enrich the git-based log with reasoning and insights.
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4. **Report**:
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- Confirm that both "Brains" (Antigravity and Project) are synced and up to date.

‎.agent/workflows/ag-commit.md‎

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---
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description: Generate a commit message from context, commit changes, and log the commit to the current session file.
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---
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1. **Analyze Changes**:
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- Run \`git status\` and \`git diff --staged\` (or \`git diff\` if nothing staged).
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- Review the current session log in \`.gemini/antigravity/sessions/\` to understand the *intent* behind the changes.
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2. **Generate Message**:
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- Draft a conventional commit message (e.g., \`feat: ...\`, \`fix: ...\`) based on the changes and the session context.
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- **Ask User**: "I propose the following commit message. Shall I proceed? [Message]"
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3. **Commit**:
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- If approved, run \`git commit -m "..."\`.
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4. **Log to Session**:
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- Append a note to the current session file:
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\`\`\`markdown
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- **Commit**: [Hash] - [Message]
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\`\`\`

‎.agent/workflows/ag-load-issue.md‎

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---
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description: Load context for a specific GitHub issue using the project's existing scripts.
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---
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1. **Retrieve Context**:
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- Run the project's context retrieval script:
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\`python bin/retrieve-context.py --issue <ISSUE_ID> -o .gemini/antigravity/memory/issue-<ISSUE_ID>-context.md\`
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2. **Ingest Context**:
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- Read the newly created file: \`.gemini/antigravity/memory/issue-<ISSUE_ID>-context.md\`.
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3. **Start Session**:
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- Run the \`/ag-new\` workflow (or manually create a session file) focused on this issue.
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- **Session Goal**: "Address Issue #<ISSUE_ID>"

‎.agent/workflows/ag-new.md‎

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---
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description: Start a new work session by reviewing context and creating a session log.
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---
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1. **Review Context**:
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- Read `.gemini/antigravity/README.md` to refresh on protocol.
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- List files in `.gemini/antigravity/sessions/` and read the most recent one to see where we left off.
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- List files in `.gemini/antigravity/to-dos/` to see active tasks.
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2. **Create Session Log**:
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- Generate a timestamp in the format `YYYY-MM-DD-HH-MM-SS`.
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- Create a new file: `.gemini/antigravity/sessions/<TIMESTAMP>-session-start.md`.
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- **Content**:
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```markdown
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# Session Start: <TIMESTAMP>
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**Goal**: [Ask user for goal]
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**Context**: [Summary of previous session]
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```
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3. **Notify User**:
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- Tell the user you have reviewed the context and are ready to start.

‎.agent/workflows/ag-pr.md‎

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---
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description: Prepare a Pull Request description based on the session context and recent commits.
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---
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1. **Gather Context**:
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- Read the current session log.
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- Run \`git log origin/main..HEAD\` (or appropriate branch comparison) to see commits in this branch.
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2. **Draft PR Description**:
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- Create a PR description following the project's template (if any).
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- **Title**: Concise summary of the feature/fix.
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- **Description**: Detailed explanation of *why* and *how*, referencing the insights from the session log.
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- **Testing**: List verification steps performed (from the session log).
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3. **Present to User**:
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- Output the draft markdown for the user to copy-paste into GitHub/GitLab.

‎.agent/workflows/ag-review.md‎

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description: Review long-term memory and insights to refresh context.
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---
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1. **List Knowledge Base**:
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- List files in `.gemini/antigravity/memory/`.
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- List files in `.gemini/antigravity/insights/`.
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2. **Read Key Files**:
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- Read `.gemini/antigravity/insights/project_summary.md` (if it exists).
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- Read the 3 most recent files in `insights/`.
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3. **Summarize**:
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- Provide a brief summary of the project status and key architectural decisions based on what you read.

‎.agent/workflows/ag-save.md‎

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---
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description: Save an insight, session summary, or research note to the knowledge base.
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---
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1. **Identify Content Type**:
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- Ask the user (or determine from context) what type of file to create: `insight`, `session`, `research`, or `memory`.
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2. **Generate Filename**:
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- Get current timestamp: `YYYY-MM-DD-HH-MM-SS`.
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- Ask user for a `CATEGORY` (e.g., `auth`, `ui`, `database`) and a `BRIEF_DESCRIPTION`.
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- Construct filename: `.gemini/antigravity/<type>s/<TIMESTAMP>-<CATEGORY>-<DESCRIPTION>.md`.
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3. **Write Content**:
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- Create the file with the content provided by the user or summarized from the chat.
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4. **Update Git**:
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- Ensure `.gitignore` still excludes `.gemini/` (just a safety check).

‎.agent/workflows/ag-scaffold-issue.md‎

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---
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description: Scaffold the standard directory structure and files for a new GitHub issue.
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---
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1. **Get Issue Details**:
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- Ask user for the **Issue ID** (e.g., 22).
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- Ask user for the **Issue Title** (e.g., "Automate desktop app creation").
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2. **Create Directory**:
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- Create directory: \`docs/idd/issues/issue-<IssueID>-<SanitizedTitle>/\`.
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3. **Scaffold Structure**:
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- Based on \`docs/idd/issues/github-issue-tree-template.json\`, create the following subdirectories:
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- \`step-01-issue-type/\`
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- \`step-11-research/\`
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- \`step-21-insight/\`
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- \`step-31-cognition/\`
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- \`step-41-how-to/\`
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- \`step-51-to-do/\`
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- \`step-61-memory/\`
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4. **Create Files**:
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- Create empty markdown files in each subdirectory following the pattern: \`issue-<IssueID>-<step-name>.md\`.
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- Example: \`step-11-research/issue-<IssueID>-research.md\`.
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5. **Populate To-Do**:
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- Read \`docs/idd/issues/github-issue-to-do-template.json\`.
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- Create \`step-51-to-do/issue-<IssueID>-to-do.md\` and populate it with the phases from the JSON template, converted to a markdown checklist.
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6. **Report**:
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- Tell the user: "Scaffolded issue #<IssueID> at docs/idd/issues/issue-<IssueID>-...".

‎.agent/workflows/ag-start-work.md‎

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description: Start working on a new issue: creates branch, loads context, and prepares plan.
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---
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1. **Create Branch**:
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- Ask user for a short description if not provided.
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- Run \`git checkout -b feature/issue-<ISSUE_ID>-<DESCRIPTION>\`.
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2. **Load Context**:
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- Execute the \`/ag-load-issue\` workflow for this issue ID.
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3. **Prepare Plan**:
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- Create or update \`implementation_plan.md\`.
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- **Header**: \`# Issue #<ISSUE_ID>: <DESCRIPTION>\`
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- **Content**: Fill in the standard implementation plan template based on the loaded context.
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4. **Notify**:
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- Tell the user: "Branch created, context loaded, and plan drafted. Ready to review the plan?"

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