Context Mode
Skill Verified ActiveUse context-mode tools (ctx_execute, ctx_execute_file) instead of Bash/cat when processing large outputs. Triggers: "analyze logs", "summarize output", "process data", "parse JSON", "filter results", "extract errors", "check build output", "analyze dependencies", "process API response", "large file analysis", "page snapshot", "browser snapshot", "DOM structure", "inspect page", "accessibility tree", "Playwright snapshot", "run tests", "test output", "coverage report", "git log", "recent commits", "diff between branches", "list containers", "pod status", "disk usage", "fetch docs", "API reference", "index documentation", "call API", "check response", "query results", "find TODOs", "count lines", "codebase statistics", "security audit", "outdated packages", "dependency tree", "cloud resources", "CI/CD output". Also triggers on ANY MCP tool output that may exceed 20 lines. Subagent routing is handled automatically via PreToolUse hook.
To significantly enhance LLM performance and user productivity by optimizing context window usage and enabling efficient, sandboxed processing of large data volumes.
Features
- Sandbox tools for large output processing
- Session continuity across context compaction
- Code-first data processing paradigm
- Support for multiple platforms and AI agents
- Detailed documentation and usage examples
Use Cases
- Analyzing large log files or API responses without token loss
- Processing codebases or configuration files efficiently
- Maintaining conversation state across context window shifts
- Ensuring privacy by keeping data processing local
Non-Goals
- Acting as a cloud analytics dashboard
- Collecting or syncing user data
- Replacing Bash for simple, small-output commands
- Providing AI-generated prose summaries directly (focuses on data processing)
Installation
/plugin install context-mode@mksglu-context-modeQuality Score
VerifiedTrust Signals
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