Plugin Claude Code
Structural code intelligence for agents: symbol lookup, callers, imports and blast radius over 40+ languages, so an agent answers code questions without reading whole files.
Plugin Claude Code
Skills that teach any agent to answer code questions structurally instead of reading whole files — symbol lookup, callers, imports and blast radius. Bundles the codeindex MCP server so install wires everything in one step.
MCP server Claude CodeCodexCursor +2
Structural code intelligence for AI coding agents over MCP: find a definition, read one function, see what calls a symbol, trace imports and judge a change's blast radius across 40+ languages — in tens of tokens instead of the 1,563 a file read costs. Runs locally from the @munhq/codeindex npm package.
Hook
Runs before the agent uses a tool for Read, Grep, Glob and Bash tool calls, executing first-read-hint.sh via sh. From munhq/codeindex.
Skill Claude CodeCodex
Answer code questions structurally instead of reading whole files. Use when you need to find where something is defined, read one function, see what calls a symbol, trace imports, judge what a change breaks, or orient yourself in an unfamiliar file or repository. Reach for this before Read, Grep or Glob on a code…
Plugin Claude Code
One memory across every AI coding tool you use: Claude Code, Codex, Gemini CLI, OpenCode and Antigravity sessions in a single searchable index, recalled by the agent itself through MCP.
Skill Claude CodeCodex
See what changed across past AI-coding sessions with chat-recall. Use when the user asks "what did I change 2h ago", "what files did we touch", "what happened in that session", "did that session actually ship", "which sessions edited ", or wants diffs/commits/edit-history that isn't in the current working tree.…
Skill Claude CodeCodex
Find past AI-coding work with chat-recall. Use when the user asks "remember when we…", "have we done X before", "find my notes/sessions on…", "where did we discuss Y", "what did I ask about Z", or otherwise wants to locate earlier conversations, plans, tasks, or notes across all their AI tools. Searches the unified…
Skill Claude CodeCodex
Store and recall durable facts, decisions, and notes with chat-recall's knowledge graph and diary. Use when the user says "remember this", "note that we decided…", "what do you know about X", "did we decide Y", "what's our convention for Z", or when a non-obvious decision/preference is made that future sessions should…
Skill Claude CodeCodex
Get the state of a project from chat-recall. Use when the user asks "what's been happening in ", "catch me up on this repo", "what's the state of X", about time/cost/activity across a project, or about code findings and recommended fixes. Owns the ranked findings views — "what should I fix next", "what should I work…
Skill Claude CodeCodex
Resume or cold-start work using chat-recall. Use when the user says "continue", "pick up where we left off", "resume our work", "carry on with X", starts a new session on an ongoing task, or references something from "last time" that isn't in the current context. Rebuilds prior context from past sessions instead of…
Skill Claude CodeCodex
Recall past AI-coding work — prior sessions, decisions, and project history — through the chat-recall MCP tools (mcpchat-recallrecall). Use when the user says "continue" / "pick up where we left off", "did we decide X", "remember when we…", "what was I doing", "what do you know about this project/me", or otherwise…
Plugin Claude Code
Skills that teach any agent to use the chat-recall MCP — resume prior sessions, search past work, recall decisions, and get project intelligence across all your AI coding tools. Bundles the chat-recall MCP server so install wires everything in one step.
MCP server Claude CodeCodexCursor +2
One memory across every AI coding tool — indexes Claude Code, Gemini CLI, Codex, OpenCode, Antigravity and Cursor sessions, redacts secrets, and exposes them to your agent over MCP. Runs locally from the chat-recall npm package.
Plugin Claude Code
Context optimization for LLM agents: measure where a session's tokens actually go, and compress context only where compression pays for the prompt cache it invalidates.
Instructions file
Claude Code instructions for munhq/distil, covering distil — context optimization for llm agents, what this is, consumption modes, architecture and layers (src/layers/).
Plugin Claude Code
Skills and MCP server for context optimization — decide whether compressing an agent's context pays for the prompt cache it invalidates, and compress it when the answer is yes. Bundles the distil MCP server so install wires everything in one step.
MCP server Claude CodeCodexCursor
Context optimization middleware for LLM agents — a dynamic tool registry, result masking, token budgeting and smart compaction, so a long session stays inside its window instead of failing for length. Runs locally from the @munhq/distil npm package.
Skill Claude CodeCodex
Decide whether to compress an agent's context, and compress it when the answer is yes. Use when a conversation is approaching the context window limit, when a request has failed or is about to fail for length, or when the user asks to compact, shrink or trim the context. Also use to measure where a session's tokens…