Claude Code skill that automates mountain route research for North American peaks. Aggregates data from 10+ mountaineering sources like Mountaineers.org, PeakBagger.com and SummitPost.com to generate detailed route beta reports with weather, avalanche conditions, and trip reports.
CLI that detects dead `.claude/rules/` files by checking if `paths:` globs actually match files in your repo. Catches silent rule failures where renamed directories or typos in glob patterns cause rules to never apply. Features CI mode (exit 1 on dead rules), JSON output, and verbose mode showing matched files.
Read-only PostgreSQL query skill for Claude Code. Executes SELECT/SHOW/EXPLAIN/WITH queries across configured databases with strict validation, timeouts, and row limits. Supports multiple connections with descriptions for database selection.
Use to run many agents in parallel as a visible grid of terminal panes: create an NxM layout, name and monitor panes, broadcast or target prompts, and save/restore whole company configurations.
Armory: a ranked catalog of 64,000+ open-source agent-harness components with a CLI (`armory search|install|init|rank`), an MCP server and a REST API; every row carries one 0–100 score from public signals.
Use to scaffold a complete agent-native harness: the CLAUDE.md, rules, skills, hooks, sub-agents, and memory layout, so a new project starts with the full discipline stack instead of an empty repo.
Use to orchestrate a swarm of sub-agents under a CEO pattern when one agent isn't enough but a full visible grid is overkill: break a mission into roles, dispatch them, and coordinate via signal files.
Use to track and cap what an agent run costs: meter token/compute spend, set budgets, and surface cost as a first-class signal so an autonomous agent doesn't quietly burn through its limit.
Use to put a number on harness quality: run an agent harness against a task set and get a score, so harness changes are validated by evidence. It is the eval backbone of a self-improving loop.
Use to apply deterministic, zero-LLM code transforms: fast, repeatable edits that don't need a model, so an agent offloads mechanical changes to a cheap tool instead of spending tokens reasoning through them.
Use to author, test, and share agent skills from the command line: scaffold a SKILL.md, validate its structure, and package it for reuse, turning a one-off procedure into a portable capability.
Expert in building 3D experiences for the web - Three.js, React Three Fiber, Spline, WebGL, and interactive 3D scenes. Covers product configurators, 3D portfolios, immersive websites, and bringing depth to web experiences. Use when: 3D website, three.js, WebGL, react three fiber, 3D experience.
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see analytics-tracking.