Agent Skills · AI Agent
Curated skills for Claude, Cursor and other AI agents. Copy one prompt to install.
Distill chat logs, photos, and social posts into a locally iterated ex-partner dialogue simulation and memory profile for Claude Code, intended for personal reflection and healing.
Named 163 Email, but the documentation mainly describes logging errors, corrections, and feature requests to Markdown and promoting reusable project memory.
Agent memory toolkit for turning temporary logs into long-term memory with search, summaries, merges, and session bridging.
An AI interview platform for resume parsing, mock interviews, and knowledge-base Q&A with RAG and async processing.
One-stop skill management for discovery, creation, vetting, and publishing, with multi-platform search, security review, testing, packaging, and versioning.
Log errors, corrections, and feature requests to .learnings/, then distill them into reusable project memory.
A local Java-based prompt translator with intent recognition, automatic RAG, caching, domain extension, and lower token usage.
Generate, optimize, and validate standardized Agent Skill packages with guided onboarding, fast drafting, and safe refactoring.
A local layered memory for AI agents that records corrections, preferences, and recurring patterns, promoting confirmed rules.
Switch between otome game character personas using /人格 commands to simulate each character's tone, personality, and dialogue style.
Guides building runnable single- and multi-agent systems with tools, memory, planning, and skills based on AgentScope and CoPaw patterns.
A web search tool based on the Tencent Cloud SearchPro API that returns Markdown-formatted results.