🎯Skills17
Context management skill that addresses the "other half of the context problem" by helping AI agents efficiently load, manage, and scope project context for more effective code assistance.
A read-only stats skill for the context-mode system that displays how much context window was saved during the current session, including token consumption, context savings ratio, and per-tool breakdown.
An MCP server that reduces context window usage by up to 98% through sandboxed code execution, FTS5-indexed session continuity, and intent-driven filtering across 11 language runtimes.
A context management skill that solves the problem of MCP tool calls dumping raw data into AI agent context windows, helping agents maintain efficient context usage during conversations.
Upgrade skill for Context Mode, a tool that solves the other half of the context problem by transforming raw MCP tool call data into structured, token-efficient context for AI agents like Claude Code, Cursor, and Copilot.
Permanently deletes all indexed content from the knowledge base, providing a clean-slate reset for the context management system.
Compresses and manages MCP tool call output to prevent context window bloat. Reduces excessive context consumption from Playwright snapshots, GitHub issues, and access logs that can waste 40% or more of available context within 30 minutes.
A slash command plugin for Context Mode that indexes local files and directories into a persistent FTS5 knowledge base, allowing agents to later search and retrieve specific content without consuming context window space with raw file data.
A slash command plugin for Context Mode that searches previously indexed file and directory content stored in a persistent FTS5 knowledge base, enabling agents to retrieve relevant information without flooding the context window with raw data.
Context Mode tackles the context problem for AI coding agents by providing structured context management and diagnostic capabilities that help agents maintain coherent understanding across complex development sessions.
Context Mode is a context management tool for AI coding agents that addresses the other half of the context problem, providing structured codebase understanding as an npm package compatible with Claude Code, Cursor, and other AI development environments.
A skill bundled with Context Mode, an MCP server and plugin that reduces AI agent context window consumption by up to 98% through sandboxed code execution, FTS5-based knowledge indexing with BM25 ranking, and session continuity across conversation compaction. Supports 15 platforms including Claude Code, Cursor, and Gemini CLI.
Part of Context Mode, an MCP server that reduces AI agent context window consumption by up to 98% through sandboxed tool outputs and session continuity via SQLite-backed event tracking. Promotes a "think in code" paradigm where agents write scripts instead of reading files directly into context.
Context Mode helps AI coding agents understand your project by scanning the codebase and generating structured context files. It addresses the context problem by automatically providing agents with relevant project knowledge and documentation.
An MCP server that reduces AI agent context window consumption by sandboxing tool outputs, tracking session state in SQLite for continuity across conversation compactions, and encouraging code-based analysis over raw data ingestion, achieving up to 98% context reduction.
Skill
Skill
🔧MCP Servers2
An MCP server that reduces context window consumption by sandboxing raw tool output (98% reduction) and maintains session continuity across conversation compactions using SQLite-backed event tracking with FTS5/BM25 search.
Context Mode is an MCP server that intercepts large tool outputs (test results, logs, docs, web snapshots) and returns only concise summaries to Claude, reducing context consumption by up to 98% and extending session longevity.