Explorez les skills IA publiés de krafton-ai et consultez leurs instructions source.
Comprehensive memory storage system for AI employees in IT companies who communicate via Slack. Automatically classifies and stores diverse information types (Slack messages, Confluence docs, emails, meetings,...
Provides role-specific expertise for 26+ IT company positions. Use when responding from a specific role's perspective, providing role-based advice, or when specialized knowledge is needed for engineering, produ...
Extract actionable tasks assigned to the user from email text. Filters out informational emails (announcements, newsletters, ads, automated reports) and only processes emails with clear action requests. Handles...
Markdown-based working memory for complex tasks. Use when: 5+ tool calls needed, researching multiple sources, analyzing/comparing items, multi-step workflows. Record process → Reference for response → Delete...
Memory cleanup and organization skill for AI employees. Provides guidelines for detecting duplicates, fixing misclassified files, and removing stale information from memory storage.
Strategic navigation patterns and selector guides for thorough web exploration using Playwright MCP. Provides decision trees, navigation strategies, and site-specific selectors for reading multiple pages system...
Read a Confluence page and recursively explore its child pages up to 3 levels deep. Use when users want to comprehensively read a Confluence page tree, understand hierarchical documentation, or analyze content...
Retrieve and utilize stored memories for AI employees in Slack environments. Efficiently searches and loads relevant context (channels, users, projects, decisions, meetings) from organized memory storage to inf...
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, ge...
메모리에서 7가지 개입 기회 패턴을 감지하는 지식 베이스. 조사 제안, 스케줄링, 문서화, 초안 작성, 연결 조율, 예측적 제안, 루틴 자동화 패턴의 시그널과 점수 계산 방법.
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.