Account Opening Workflow

Audits, scores, and refactors AGENTS.md and CLAUDE.md agent instruction files using execution-first standards: working commands, real-failure gotchas, signal-to-noise, and @import progressive disclosure. Runs a 12-check quick triage or a 49-check full audit with letter grades, then proposes minimal diffs. Use when asked to audit, review, score, refactor, or improve agent instruction files, fix stale commands, reduce bloat, write a new AGENTS.md, or when asking "my AGENTS.md is bad", "help me write a CLAUDE.md", or "improve my agent instructions". For SKILL.md skill files use agent-skills-creator; for general docs use docs-writing; for mining session history into instruction suggestions use the external cadence-advise skill where installed.

Install and configure ToolUniverse for any use case — MCP server (chat-based), CLI (command line with 9 subcommands), or Python SDK (Coding API with 3 calling patterns). Covers uv/uvx setup, MCP configuration for 12+ AI clients (Cursor, Claude Desktop, Windsurf, VS Code, Codex, Gemini CLI, Trae, Cline, etc.), full CLI reference (tu list/grep/find/info/run/test/status/build/serve), Coding API quickstart, agentic tools, code executor, API key walkthrough, skill installation, and upgrading. Use when user asks how to set up ToolUniverse, which access mode to use (MCP vs CLI vs SDK), configuring MCP servers, using the CLI, troubleshooting installation, upgrading, or mentions installing ToolUniverse or setting up scientific tools. Also triggers for "how do I use ToolUniverse", "what's the best way to access tools", "command line", "tu command", "coding API", "tu build".

CPU cache optimization skill for C/C++ and Rust. Use when diagnosing cache misses, improving data layout for cache efficiency, using perf stat cache counters, understanding false sharing, prefetching, or structuring AoS vs SoA data layouts. Activates on queries about cache misses, cache lines, false sharing, perf cache counters, data layout optimization, prefetch, AoS vs SoA, or L1/L2/L3 cache performance.

Manages MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data workloads and event processing. NOT for general MongoDB queries or Atlas cluster management. Requires MongoDB MCP Server with Atlas API credentials.

Review current branch for blindspots; fix now / needs spec / create issues.

ELF binary inspection skill for Linux. Use when examining ELF executables or shared libraries with readelf, objdump, nm, or ldd to understand symbol visibility, section layout, dynamic dependencies, build IDs, or relocation entries. Activates on queries about ELF format, shared library dependencies, symbol tables, section sizes, DWARF debug info in binaries, binary bloat analysis, or undefined symbol errors.