查找技能

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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• Preparing project documents for repeated searches
• Finding relevant passages in local files
• Indexing a repository with selected folders excluded

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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• Opening the team's development analytics dashboard
• Reviewing productive rates and retry waste per engineer
• Checking blockers and views tailored to team roles

Find previously indexed project files, documentation, and session memory in context-mode's persistent full-text search database. Search related questions together and narrow results to a named project or source without rereading raw material into the conversation.

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• Find information in previously indexed project files
• Look up saved documentation or session memory
• Search several related questions together

Check how much conversation capacity context-mode has saved during the current session. View token consumption, the context savings ratio, and a breakdown by tool in full tables, with one sentence highlighting the main savings figure.

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• Checking context savings in the current session
• Reviewing token consumption
• Comparing usage statistics across tools

Update context-mode from GitHub, rebuild and reinstall it, and configure hooks that connect it to the agent environment. Review the actual version and upgrade results in a checklist, then restart the session.

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• Update context-mode to the latest version
• Repair context-mode hooks and settings
• Review upgrade results and the installed version

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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• Investigating reported bugs and their history
• Reviewing contributor pull requests
• Preparing releases and compatibility checks

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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• Explore a codebase and summarize key findings
• Extract and count information in a file
• Index web content for follow-up searches

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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• Counting or filtering large datasets
• Retrieving relevant information from web pages
• Collecting and searching results from multiple commands

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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• Extracting errors from large logs
• Summarizing test failures and build warnings
• Inspecting JSON and CSV data

Delete stored context-mode data for one session or an entire project after confirming the scope. Remove an unwanted session while preserving others, or clear project knowledge, session records, and statistics for a fresh start.

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• Remove data from one unwanted session
• Clear a project database containing outdated information
• Reset all stored project data for a fresh start

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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• Checking the environment after installation
• Checking hooks and full-text search support
• Reviewing plugin registration status