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ai-tooling

AI-Tooling Guide

Cross-team Claude workflow programme at JustGiving: patterns and plugins shared across teams.

Case study
2025
aipromptclaudeagentsmcpcross-team enablement
01

Why

During 2025 my work moved from using AI tools to designing patterns other engineers could adopt. Every team I worked alongside was rediscovering the same prompt patterns, plugin shapes, and agent-mode trade-offs on its own.

A shared evaluation hub gives teams one place to record which patterns held up and which did not, so the next engineer starts from a tested chatmode or skill instead of a blank prompt.

02

How it’s built

Contributed to the internal cross-team `ai-coding-tools-explorer` repository alongside AI Champions: spec-driven workflow patterns, discovery-focused chatmodes, data-diagram-focused agents, runbook generation, plugin examples, and lessons from my own tooling, written up so other engineers can reuse them.

Outside work, my personal examples include a Claude MCP server marketplace and an OpenCode-backed stdio MCP server for asynchronous agent tasks. I also run bi-weekly AI tooling sessions and have the DataCamp Associate AI Engineer track in progress.

  • Shared evaluation hub for AI coding tools: patterns, plugins, learnings
  • Spec-driven workflow templates other engineers can fork
  • Personal MCP examples: a Claude server marketplace and an OpenCode-backed asynchronous agent server
  • Bi-weekly AI tooling meetings for cross-team sharing
  • DataCamp Associate AI Engineer track alongside the practical tooling work
  • Discovery-focused chatmodes and data-diagram-focused agents documented as patterns
03

Demo

Screen recording: viewing a sample CLAUDE.md in the AI tools explorer0:28 runtime
04

Screenshots