company-kb — Company Knowledge Base Skill. Use when relevant to this domain.
原文の言語: 英語
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このリポジトリの skills
SkillsMP は oyi77/1ai-skills から 1,311 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
oyi77/1ai-skills収集済み skill 1,311 件中 40 件を表示しています。
company-kb — Company Knowledge Base Skill. Use when relevant to this domain.
原文の言語: 英語
CrewAI multi-agent orchestration — agents, tasks, crews, tools, memory, delegation. Use when working with crewai agents.
原文の言語: 英語
Dify AI workflow platform — LLM apps, knowledge bases, agents, workflow orchestration, API deployment. Use when working with dify workflow.
原文の言語: 英語
Diagnose and fix MCP gateway routing issues, health checks, and server connectivity problems. Use when working with gateway doctor.
原文の言語: 英語
Build applications using Google Gemini API. Handle chat completions, multimodal inputs, function calling, streaming, and grounding with Google Search. Use when building applications using google gemini api. handle chat completions, multimodal.
原文の言語: 英語
Coordinate multi-agent consensus using TiDB-backed shared memory. Use when agents need to agree on decisions or share state.
原文の言語: 英語
Use when deterministically coordinating autonomous planning and execution across available skills under strict guardrails.
原文の言語: 英語
Proactive agent that detects signals and suggests actions with Slack notifications. Use when working with joko proactive agent.
原文の言語: 英語
Andrej Karpathy's 4 coding principles — think before coding, simplicity first, surgical changes, goal-driven execution. Use when coding, reviewing code quality, reducing overengineering,.
原文の言語: 英語
LangChain/LangGraph patterns — chains, agents, tools, memory, retrieval, graph workflows. Use when working with langchain patterns.
原文の言語: 英語
LlamaIndex data framework — ingestion, indexing, query engines, chat engines, agents. Use when working with llamaindex patterns.
原文の言語: 英語
LLM deployment and serving — vLLM, Ollama, TGI, llama.cpp. Model quantization, GPU optimization, API serving. Use when working with llm deployment.
原文の言語: 英語
Fine-tune LLMs and ML models — LoRA, QLoRA, PEFT, Hugging Face. Dataset prep, training, evaluation, deployment. Use when working with model fine tuning.
原文の言語: 英語
Route AI model requests to the optimal provider based on task, cost, latency, and capability requirements. Manage multi-provider LLM deployments. Use when working with model router.
原文の言語: 英語
Integrate with OmniRoute AI Router for multi-provider LLM routing, MCP server access, and A2A agent-to-agent orchestration. Use when integrateing with omniroute ai router for multi-provider llm routing, mcp.
原文の言語: 英語
Advanced prompt engineering — chain-of-thought, few-shot, tree-of-thought, self-consistency, meta-prompting, system design, debugging, and optimization for production AI systems. Use when working with prompt engineering.
原文の言語: 英語
RAG pipeline design — document chunking, embedding strategies, retrieval optimization, and answer generation. Use when working with rag builder.
原文の言語: 英語
Run AI models on Replicate cloud API. Deploy image generation, video creation, audio processing, and custom models without managing infrastructure. Use when working with replicate runner.
原文の言語: 英語
Manage revenue pipelines, track Stripe/analytics metrics, and automate financial reporting for SaaS businesses. Use when building revenue infrastructure.
原文の言語: 英語
Automatically improve OpenClaw and 1ai-skills at runtime. Analyze performance, detect gaps, enhance skills, and self-optimize during operation. Use when working with runtime self improvement.
原文の言語: 英語
Microsoft Semantic Kernel — AI orchestration, plugins, planners, memory, prompt templates. Use when working with semantic kernel.
原文の言語: 英語
Automatically detect source types and build AI skills using Skill Seekers. Use when the user wants to create skills from documentation, repos, PDFs, videos, or other knowledge sources.
原文の言語: 英語
Monitor and analyze skill effectiveness in real-time. Track usage, success rates, response quality, and user satisfaction for continuous optimization. Use when monitoring and analyze skill effectiveness in real-time. track usage, success.
原文の言語: 英語
Dynamically creates and manages AI agent teams for complex tasks. Invoke when user requests multi-agent collaboration, complex project execution, or when tasks require specialized roles and coordinated workflow. Use when working with teamwork.
原文の言語: 英語
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
原文の言語: 英語
Vector database operations — Pinecone, Weaviate, Qdrant, ChromaDB. Indexing, querying, filtering, and managing vector embeddings for RAG and similarity search. Use when working with vector db ops.
原文の言語: 英語
Use when activate an AI general manager persona with full context awareness and multi-user adaptation.
原文の言語: 英語
Use when foundational core infrastructure skill providing system foundation capabilities for the agent ecosystem.
原文の言語: 英語
Zero-copy vector operations for efficient similarity search and embedding storage in agent memory systems. Use when working with zvec.
原文の言語: 英語
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification. Use when createing forensically sound bit-for-bit disk images using dd and dcfldd.
原文の言語: 英語
Active Directory and Windows domain exploitation for enterprise penetration testing. Use when attacking Windows domains, exploiting AD misconfigurations, or performing lateral movement in enterprise environments.
原文の言語: 英語
AI and LLM security testing — prompt injection, model manipulation, data exfiltration via AI. Use when testing AI-powered applications, finding prompt injection vulnerabilities, or assessing LLM-integrated systems.
原文の言語: 英語
Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths. Use when detecting dangerous acl misconfigurations in active directory using ldap3 to.
原文の言語: 英語
Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection. Use when performing static analysis of…
原文の言語: 英語
Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating…
原文の言語: 英語
Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense. Use when analyzeing advanced persistent threat (apt) group techniques…
原文の言語: 英語
Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use…
原文の言語: 英語
Analyze Chromium-based browser artifacts using Hindsight to extract browsing history, downloads, cookies, cached content, autofill data, saved passwords, and browser extensions from Chrome, Edge, Brave, and Opera for forensic investigation. Use when…
原文の言語: 英語
Monitor Certificate Transparency logs using crt.sh and Certstream to detect phishing domains, lookalike certificates, and unauthorized certificate issuance targeting your organization. Use when monitoring certificate transparency logs using crt.sh and…
原文の言語: 英語
Detect abnormal access patterns in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics. Identifies after-hours bulk downloads, access from new IP addresses, unusual API calls (GetObject spikes),…
原文の言語: 英語