Découvrez les skills lifestyle llm ai, comparez leurs dépôts et consultez leurs instructions.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
Continuous learning system that extracts reusable knowledge from work sessions. Triggers: (1) /learn command to review session learnings, (2) "save this as a skill" or "extract a skill from this", (3) "what did...
Analyze coding agent session transcripts to improve existing skills or create new ones. Use when asked to improve a skill based on a session, or extract a new skill from session history.
Load and parse session transcripts from shittycodingagent.ai/buildwithpi.ai/buildwithpi.com (pi-share) URLs. Fetches gists, decodes embedded session data, and extracts conversation history.
Load CLAUDE.md context files from vault for comprehensive understanding. Discovers hierarchical context, recent notes, and project states. Use at start of session or when Claude needs full vault context.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends AIPex's capabilities with specialized knowledge, workflows, or too...
Design and create Agent Skills using progressive disclosure principles. Use when building new skills, planning skill architecture, or writing skill content.
Create AiderDesk agent profiles via interactive Q&A.
通用学习器 - 从任何领域的Prompt中自动提取可复用元素，持续学习和积累知识
AI领域分类器 - 智能分析提示词内容，准确判断所属领域（人像/艺术/设计/产品/视频）
提示词分析与洞察 - 查看Prompt详情、对比差异、推荐相似提示词、元素库统计
提示词生成器 - 根据用户主题描述智能生成完整的AI图像提示词，基于元素数据库
提示词主控 - 智能选择合适的领域skill并生成提示词，支持自动领域分类和调度
智能提示词生成器 v2.0 - 支持人像/跨domain/设计三种模式，语义理解、常识推理、一致性检查
自动化提取AI绘画提示词的模块化结构，从海量提示词中提炼可复用的模块组件
AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns.
AWS Lambda serverless functions for event-driven compute. Use when creating functions, configuring triggers, debugging invocations, optimizing cold starts, setting up event source mappings, or managing layers.
Send messages to other agents on your server. Use when you need to communicate with, query, or delegate tasks to another agent.
Search past messages to recall context. Use when you need to remember previous discussions, find specific topics mentioned before, pull up context from earlier in the conversation history, or find which agent d...
Comprehensive guide for initializing or reorganizing agent memory. Load this skill when running /init, when the user asks you to set up your memory, or when you need guidance on creating effective memory blocks...
Find other agents on the same server. Use when the user asks about other agents, wants to migrate memory from another agent, or needs to find an agent by name or tags.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Letta Code's capabilities with specialized knowledge, workflows, o...
Guide for adding new LLM models to Letta Code. Use when the user wants to add support for a new model, needs to know valid model handles, or wants to update the model configuration. Covers models.json configura...
Auto-activate CCS CLI delegation for deterministic tasks. Parses user input, auto-selects optimal profile (glm/kimi/custom) from ~/.ccs/config.json, enhances prompts with context, executes via `ccs {profile} -p...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.