Agent building

Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool…

Reverse engineer native, managed, Electron/JavaScript, packaged, firmware, and browser targets with REA, and build agent environments (AgentEnv bundles) of…

Map what the owner wants from the prompts they typed themselves (prompts an agent wrote are left out), then put their top priorities and open asks, each with…

Automated semantic versioning and release workflow for Claude Code plugins.

只读读取各平台内容：搜索、读帖、看评论、取字幕、查行情和职位。 Use when 用户提到或贴出链接：小红书/xiaohongshu、B站/bilibili、Twitter/X、Reddit、 YouTube（字幕、转录）、GitHub、V2EX、雪球/股票行情、LinkedIn/Boss直聘 职位、…

Act on a Caveman learn report - review the ranked token sinks, apply cost-lowering fixes with per-edit consent, and report what those fixes returned.

Audit a design against Dieter Rams' ten "Good design is..." principles, then hand off a /make-plan prompt for one of three outcomes — new design, refine…

Build and query AI-powered knowledge bases from claude-mem observations.

Generate a serial week-by-week narrative digest of a project's full claude-mem timeline.

Open-source AI job search agent -- evaluate offers, generate CVs, scan portals, track applications.

Secure AI coding agents (Claude Code, Cursor, Codex, Copilot) with permission boundaries, secret protection, code review gates, and safe sandbox…

Show recorded output and cache-read token usage and mode attribution for the current Claude Code session, or locate the host's native usage report.

Build automated evaluation suites for AI agents using golden datasets, rubrics, and regression gates.

Instrument AI agents with tracing, token metrics, latency, and cost visibility.

Secure AI agents against prompt injection, tool abuse, and data exfiltration with defense-in-depth controls.

Build and validate experimental WebMCP tools for an existing web page.

Persistent file-based planning for multi-step AI-agent work.

Persistent file-based planning for multi-step AI-agent work.

Persistent file-based planning for multi-step AI-agent work.

Design or change REA investigation tools, CLI/MCP contracts, provider capabilities, and Evidence semantics.

Run structured AI red team exercises for jailbreak resistance, data exfiltration risk, harmful output controls, and agent tool abuse resilience.

Guide for creating effective skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations.

Writes and structures long-form blog posts, creates tutorial outlines, and optimizes content for SEO with cover image generation.

Read the user's coding preferences from /memory/coding-prefs.md before making non-trivial style decisions, and append new preferences when the user gives…