Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
Skill 디렉토리
AI Agent를 위한 재사용 가능한 Skill을 찾으세요.
모든 추천은 리포지토리, 감사, 설치 경로와 명확하게 연결됩니다.
검색 결과: incidents
영문 디렉토리Admin / analytics dashboard in a single HTML file. Fixed left sidebar, top bar with user/search, main grid of KPI cards and one or two charts. Use when the brief asks for a "dashboard", "admin", "analytics", or "control panel" screen.
Open-source incident management tool with an AI SRE agent that watches your logs, learns normal patterns, and auto-creates incidents — plus webhook alerts, multi-channel notifications, and on-call escalation.
A composable catalog of production-grade engineering workflows and expert capabilities for AI coding agents, covering planning, TDD, debugging, review, and more.
"Security Incidents In A Box!" A modular, menu-driven, cross-platform tool for building customized, time-delayed, distributed security events. Easily create custom event chains for Blue- & Red Team drills and sensor / alert mapping. Red Teams can create decoy incidents, distractions, and lures to support and scale their operations. Build event sequences ("narratives") to simulate realistic scenarios and generate corresponding network and filesystem artifacts.
A full-stack AI helpdesk platform that uses machine learning, NLP, and OCR to automatically analyze support requests, detect similar incidents, and help teams resolve technical issues faster.
Security audit skill for LLM agents - prompt injection scanner, attack catalog & defense checklist
Generate automated daily progress reports from site data. Track work completed, labor hours, equipment usage, and weather conditions.
Create interactive KPI dashboards for construction projects. Track schedule, cost, quality, and safety metrics in real-time.
Inventories technical debt across a codebase and prioritizes it by cost-of-delay versus effort, producing a ranked paydown list. Use when debt is accumulating but it's unclear what to fix first.
Scientific research engine with adversarial review, tree search, and serendipity detection. Use when: exploring hypotheses, validating findings against literature, running computational experiments with quality gates, or hunting for unexpected discoveries. Do NOT use for simple Q&A, code editing, or non-research tasks.
Scientific research engine with agentic tree search. Infinite loops until discovery, rigorous tracking, adversarial review, serendipity preserved.