Skills

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

UI/UX design intelligence for web, mobile, and desktop.

Interactively create, install, activate, and verify custom claude-mem modes, including domain-specific observation types, concept tags, optional Telegram…

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…

Group recent conversations into overall requests, review each one's progress from memory, link each to the owner goals it serves, and write the build story…

Automated semantic versioning and release workflow for Claude Code plugins.

Compress a memory file such as CLAUDE.md or a todo list into caveman format to save input tokens, keeping a readable backup.

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.

Search screen and audio history recorded by Screenpipe and optionally save selected context into claude-mem.

Rewrite AI-sounding text so it reads like the writer without changing what it says.

Research what people actually say about any topic in the last 30 days.

Wire dependency-cruiser into a TypeScript repo so each package is a deep module, with implementation hidden in subfolders and reachable only through its…

Read-only repository explorer for cold-start orientation, broad cross-file localization, or when a direct search failed.

Believable agent cost report for any period, default the last 7 full days PT, not counting today.

Facilitate a read-only standup across git worktrees, branches, or PRs to compare changes and produce one consolidation plan.

tasteskill v2, the anti-slop frontend skill.

Inspect and explain conversations in the local Deep Agents Code SQLite session store.

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.

تخطيط مستمر قائم على الملفات لعمل وكلاء الذكاء الاصطناعي متعدد الخطوات.

Persistente dateibasierte Planung für mehrstufige Arbeit mit KI-Agenten.

Planificación persistente basada en archivos para tareas multipaso de agentes de IA.

用于多步骤 AI 代理工作的持久化文件规划系统。将 task_plan.md、findings.md 和 progress.md 保存在磁盘上，生命周期钩子会注入选定的项目规划上下文。自动恢复只读取项目规划文件。只有显式运行 session-catchup.py --metadata…