Route codebase exploration, file analysis, and web research through context-mode tools in Antigravity CLI. Process large outputs outside the conversation and return focused findings, with indexed content available for later searches.
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Mandatory routing rules for Antigravity CLI. Invoke when exploring a codebase, reading files for analysis, listing context-mode tools, searching, parsing, counting, comparing, summarizing, fetching web content, or running data-heavy commands.
安装前可以查看交给 AI 代理的指令内容。
context-mode MCP tools are available in agy as context-mode/<tool>.
Use these tools directly. Do not inspect cached schema files under
~/.gemini/antigravity-cli/mcp/context-mode/*.json, and do not run
ctx_execute just to discover tool names or schemas.
If agy uses the generic MCP wrapper, call call_mcp_tool with:
ServerName: "context-mode"ToolName: one of the tool names belowArguments: the JSON arguments for that toolcontext-mode/ctx_execute: run JavaScript, TypeScript, Python, shell, or
other code in a sandbox. Print only the final answer.context-mode/ctx_execute_file: read one file into FILE_CONTENT inside the
sandbox and run code over it. This is the context-mode file-read surface.context-mode/ctx_batch_execute: run multiple repository commands in one
batch, index large output, and answer follow-up queries.context-mode/ctx_index: store a file, directory, or content in the local
FTS5 knowledge base for later search.context-mode/ctx_search: search indexed content and captured session
memory. Batch related questions in queries.context-mode/ctx_fetch_and_index: fetch web content, store it, then query
with ctx_search.context-mode/ctx_stats: show context savings and current-session stats.context-mode/ctx_doctor: diagnose context-mode runtime and hook health.context-mode/ctx_upgrade: provide upgrade or repair guidance.context-mode/ctx_purge: purge stored context-mode knowledge after
confirmation.context-mode/ctx_insight: launch or report the Insight analytics app.When the user asks "what context-mode tools are available", answer from this
list. Do not list ~/.gemini/antigravity-cli/mcp/context-mode and do not read
the JSON schema files.
There is no separate ctx_read tool. Use context-mode/ctx_execute_file for
file reads that analyze, summarize, extract, count, filter, or compare.
Native Read / view_file is only right when editing needs exact bytes in the
conversation, or when the user explicitly asks to view a small known range.
Use JavaScript by default for lightweight file analysis:
{
"path": "README.md",
"language": "javascript",
"code": "const lines = FILE_CONTENT.split(/\\r?\\n/); console.log(lines.slice(0, 20).join('\\n'));"
}
Never print FILE_CONTENT wholesale unless the user explicitly asks for a full
file dump. Print selected lines, counts, matches, summaries, or structured
results.
For repository exploration, prefer one context-mode/ctx_batch_execute call
instead of many native ListDir, Read, Grep, or shell calls.
For one-off computed answers, use context-mode/ctx_execute.
For one-file analysis, use context-mode/ctx_execute_file.
For durable recall across follow-up questions, use context-mode/ctx_index
with a descriptive source, then context-mode/ctx_search.
Return concise derived answers. Do not paste raw command dumps, full files, large search results, cached schemas, or raw HTML into the conversation.
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Route data analysis, large-file processing, and web retrieval through context-mode tools, returning only relevant results to the conversation. This helps preserve the context window, the limited amount of information an AI can work with at once.
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Analyze large logs, test results, API responses, and files outside the conversation, then return focused findings. It guides agents to save, process, index, and search outputs while limiting how much raw data enters their working context.
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Coordinate multiple agents to maintain context-mode, from sorting GitHub issues and reviewing pull requests to preparing releases and announcements. Workflows require reproduced bugs, source evidence, test-first changes, and checks across supported platforms.
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Run context-mode diagnostics to check runtimes, hooks, full-text search support, plugin registration, and npm and marketplace versions. Results appear directly in the conversation with clear status labels, with a CLI fallback if the MCP call fails.
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Index local files or folders in context-mode’s persistent search database, so later searches can retrieve relevant passages without rereading entire files. Useful for repeatedly consulting project documents while keeping raw file contents out of the conversation.
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Open the hosted context-mode Insight dashboard in your default browser to access analytics for AI-assisted engineering teams, including productive rates per engineer, retry waste, blockers, and views tailored to different roles.
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