Choose optimal external AI models for code analysis, bug investigation, and architectural decisions. Use when consulting multiple LLMs via claudish, comparing model perspectives, or investigating complex Go/LSP/transpiler issues. Provides empirically validated model rankings (91/100 for MiniMax M2, 83/100 for Grok…
Automated LSP hover validation for Dingo transpiler. Use when testing hover functionality, validating position mappings, checking for hover drift, or debugging LSP issues after sourcemap changes.
Turn minified, bundled, or transpiled JavaScript back into readable modules. Use when you encounter unreadable production JS — a webpack/esbuild/Metro/Rollup bundle, a minified vendor script, Babel/TypeScript/SWC-transpiled output, or a single mangled .js file — and need to read, audit, debug it, or recover a…
A presentation system for agent-made PPTs — born for the talk, not just the template. It turns raw material into an AST (audience-state-transfer) outline with per-page visual-enhancement decisions (image / SVG diagram / video), hands a production brief to a downstream renderer (HTML-PPT skills or native PPTX), then…
Use when the user wants to split source code into chunks for an LLM context window without breaking syntax mid-construct. Covers ts-pack process --chunk-size, why syntax-aware splits beat fixed-byte splits, picking a size, and the chunk JSON shape.
Use when the user wants structured code metadata from a source file — functions, classes, imports, exports, symbols, docstrings, comments, or syntax diagnostics. Covers ts-pack process feature flags, the JSON result shape, and the default feature set.
Parse and extract code intelligence from 371 programming languages using tree-sitter grammars. Use when writing code that parses source, extracts structure/imports/exports/symbols/docstrings/comments, detects a language, runs syntax diagnostics, or produces syntax-aware chunks for LLMs — in Rust, Python…
Go repository intelligence for Claude Code. Use when reading, navigating, editing, reviewing, or refactoring a Go codebase. Exposes 64 query, analysis, and workflow capabilities through the local gograph MCP server, including bounded first-call exploration, AST-aware call graphs, blast-radius analysis, impact, and…
Generate a persistent .nexus-map/ knowledge base that lets any AI session instantly understand a codebase's architecture, systems, dependencies, and change hotspots. Use when starting work on an unfamiliar repository, onboarding with AI-assisted context, preparing for a major refactoring initiative, or enabling…
Precise, instant code structure queries for active development — answer 'who depends on this interface before I refactor it', 'how many modules break if I change this', 'what is the real impact radius of this feature change', 'which module is the true high-coupling hotspot in this legacy codebase'. Essential before…
Use when changing any field in pkg/temperature/Config (DecayRate, AccessBoost, ColdThreshold, NotifyThreshold, TickInterval) or modifying decayFactor / Score / cold-node notification logic — symptoms include "tune the decay rate", "make notifications less noisy", "change the cold cutoff", "adjust the temperature…
Config-first setup wizard for a remindb MCP server — run it as /remindb-setup (interactive), /remindb-setup automode (hands-off), or /remindb-setup only-config (bridge hosts: author .remindb/ only, no env wiring). Two passes. First-time (no server attached yet): detect the host, author the .remindb/ config…
Audit and harden this Rust repo (code-graph-mcp) for Windows correctness: path-spelling drift between producers, the 32,767-char command-line cap, index-key mismatches, and path predicates that assume one ecosystem's layout. Use whenever touching code that builds, compares, prints, or stores a filesystem path; that…
Predict the dollar cost of a coding task across Opus 4.7, Sonnet 4.6, and Haiku 4.5 BEFORE the user runs it. Pure heuristic + historical-anchor math, zero LLM calls. Use when the user asks "how much will X cost?", "is this task worth doing on Opus?", "estimate the refactor", or any pre-flight pricing question.
A/B compare the user's actual token spend before and after they installed Sipcode's optimizers — on their own session data. The honesty-first savings verifier. Use when the user asks "is sipcode actually saving me tokens?", "show me the impact", "prove sipcode is working", or any variant of "is this thing worth…
Forensic audit of the user's most recent Claude Code session. Returns total spend, output ratio, duplicate file reads, idle context after auto-compact, top expensive tool calls, and an estimate of what Sipcode would have RECOVERED if optimizers were active. Use when the user asks "where did my tokens go?", "audit my…
Run live tests of the Ariadne MCP server using Claude Code in headless mode. Tests tool discovery, invocation, and filtering. Use when validating MCP server changes or checking integration with Claude Code.
Runs the full entry point self-repair pipeline. Detects entry points in Ariadne packages or external codebases, triages false positives via sub-agents, plans fixes for each issue group with competing proposals and multi-angle review, and creates backlog tasks.
Reference for the vex code-search CLI — symbol search, usages (text + scope-bound --strict), structural AST patterns, call graph, semantic search, and content grep. Activates when picking the right vex subcommand, recalling filter flags, or checking the cross-file binder coverage matrix. Use whenever you'd otherwise…