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06:00

Composable Agent Skills for Real Engineering Workflows

给工程师的 AI 编码工作流:一组可组合的 Agent Skills

Matt Pocock's personal agent skills for Claude Code and Codex, targeting four common failure modes in AI-assisted development: misalignment, verbosity, broken code, and design entropy. Instead of controlling the process, these small, composable skills embed engineering fundamentals—grilling sessions for alignment, shared ubiquous language for concision, TDD red-green-refactor loops for code quality, and architecture rescue tools. They work with any model and are designed to be hacked and adapted in your own .claude directory.

github.com · 14 min · Agents · AI Engineering · Claude Code · Context Engineering · Developer Tools · TDD
06:00

Every Agentic Engineering Hack I Know (June 2026)

我的 Agentic 工程实战技巧(2026年6月版)

The author shares 22 practical hacks for agentic engineering with Claude Code and Codex. The core is a plan-first workflow: use /ce-plan to generate a plan.md that guides the agent; humans skim or ask inline instead of reading it. Hacks include: voice input via Monologue or Wispr Flow (LLMs handle imperfect transcription); running 4-6 separate agent sessions in cmux tabs; defaulting terminal tabs to Claude Code and bypassing all permission prompts with sound alerts on completion; giving Claude an email address via AgentMail to trigger sessions remotely; using last30days before planning to search community discussions and news in parallel; turning repeated tasks into reusable skills to compound agent capabilities. He stresses that human value lies in providing taste and direction, not typing, and warns against AI addiction. The post is packed with copy-paste config snippets and concrete tools, aimed at engineers deep into AI-assisted development.

06:00

How to Master Dynamic Workflows in Claude Code: 6 Patterns and 14 Steps

Claude Code 动态工作流实战:6 种模式与 14 步完整指南

This article provides a systematic guide to Dynamic Workflows in Claude Code, shipped in late May 2026. It moves beyond manual prompt chaining by letting Claude generate a bespoke JavaScript harness for a specific task. The author first explains the mental model: how workflows structurally fix agentic laziness, self-preferential bias, and goal drift inherent in single-context sessions. It then breaks down six core patterns—classify-and-act, fan-out-and-synthesize, adversarial verification, generate-and-filter, tournament, and loop until done—each with code skeletons. Real-world use cases show how to compose patterns for migrations, deep research, triage, and lightweight evals. Practical controls like /goal, /loop, token budgets, and the quarantine pattern for untrusted inputs are covered. It also advises on saving successful workflows and shipping them as Skills. This guide is for engineers aiming to tackle long-running, parallel, or adversarial tasks beyond a single Claude Code session.

x.com · 17 min · Agents · AI Engineering · Anthropic · Claude Code · Orchestration