oyi77/1ai-skills - Seite 9

company-kb

company-kb — Company Knowledge Base Skill. Use when relevant to this domain.

Quellsprache: Englisch

crewai-agents

CrewAI multi-agent orchestration — agents, tasks, crews, tools, memory, delegation. Use when working with crewai agents.

Quellsprache: Englisch

dify-workflow

Dify AI workflow platform — LLM apps, knowledge bases, agents, workflow orchestration, API deployment. Use when working with dify workflow.

Quellsprache: Englisch

gateway-doctor

Diagnose and fix MCP gateway routing issues, health checks, and server connectivity problems. Use when working with gateway doctor.

Quellsprache: Englisch

gemini-api-dev

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.

Quellsprache: Englisch

hive-mind

Coordinate multi-agent consensus using TiDB-backed shared memory. Use when agents need to agree on decisions or share state.

Quellsprache: Englisch

joko-orchestrator

Use when deterministically coordinating autonomous planning and execution across available skills under strict guardrails.

Quellsprache: Englisch

joko-proactive-agent

Proactive agent that detects signals and suggests actions with Slack notifications. Use when working with joko proactive agent.

Quellsprache: Englisch

karpathy-coding-principles

Andrej Karpathy's 4 coding principles — think before coding, simplicity first, surgical changes, goal-driven execution. Use when coding, reviewing code quality, reducing overengineering,.

Quellsprache: Englisch

langchain-patterns

LangChain/LangGraph patterns — chains, agents, tools, memory, retrieval, graph workflows. Use when working with langchain patterns.

Quellsprache: Englisch

llamaindex-patterns

LlamaIndex data framework — ingestion, indexing, query engines, chat engines, agents. Use when working with llamaindex patterns.

Quellsprache: Englisch

llm-deployment

LLM deployment and serving — vLLM, Ollama, TGI, llama.cpp. Model quantization, GPU optimization, API serving. Use when working with llm deployment.

Quellsprache: Englisch

model-fine-tuning

Fine-tune LLMs and ML models — LoRA, QLoRA, PEFT, Hugging Face. Dataset prep, training, evaluation, deployment. Use when working with model fine tuning.

Quellsprache: Englisch

model-router

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.

Quellsprache: Englisch

omniroute-integration

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.

Quellsprache: Englisch

prompt-engineering

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.

Quellsprache: Englisch

rag-builder

RAG pipeline design — document chunking, embedding strategies, retrieval optimization, and answer generation. Use when working with rag builder.

Quellsprache: Englisch

replicate-runner

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.

Quellsprache: Englisch

revenue-engine

Manage revenue pipelines, track Stripe/analytics metrics, and automate financial reporting for SaaS businesses. Use when building revenue infrastructure.

Quellsprache: Englisch

runtime-self-improvement

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.

Quellsprache: Englisch

semantic-kernel

Microsoft Semantic Kernel — AI orchestration, plugins, planners, memory, prompt templates. Use when working with semantic kernel.

Quellsprache: Englisch

skill-builder

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.

Quellsprache: Englisch

skill-performance-monitor

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.

Quellsprache: Englisch

teamwork

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.

Quellsprache: Englisch

using-superpowers

Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions

Quellsprache: Englisch

vector-db-ops

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.

Quellsprache: Englisch

vilona-activate

Use when activate an AI general manager persona with full context awareness and multi-user adaptation.

Quellsprache: Englisch

vilona

Use when foundational core infrastructure skill providing system foundation capabilities for the agent ecosystem.

Quellsprache: Englisch

zvec

Zero-copy vector operations for efficient similarity search and embedding storage in agent memory systems. Use when working with zvec.

Quellsprache: Englisch

acquiring-disk-image-with-dd-and-dcfldd

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.

Quellsprache: Englisch

ad-killer

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.

Quellsprache: Englisch

ai-hacker

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.

Quellsprache: Englisch

analyzing-active-directory-acl-abuse

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.

Quellsprache: Englisch

analyzing-android-malware-with-apktool

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…

Quellsprache: Englisch

analyzing-api-gateway-access-logs

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…

Quellsprache: Englisch

analyzing-apt-group-with-mitre-navigator

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…

Quellsprache: Englisch

analyzing-azure-activity-logs-for-threats

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…

Quellsprache: Englisch

analyzing-browser-forensics-with-hindsight

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…

Quellsprache: Englisch

analyzing-certificate-transparency-for-phishing

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…

Quellsprache: Englisch

analyzing-cloud-storage-access-patterns

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),…

Quellsprache: Englisch