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Skills IA devops llm ai

Découvrez les skills devops llm ai, comparez leurs dépôts et consultez leurs instructions.

Catégories: devops llm ai

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GitHub

herb-enterprise-context

nexi-lab

Search enterprise context data (Slack, docs, meetings, PRs) from the HERB benchmark to answer questions about products, employees, customers, and organizational activities. Use when answering questions that req...

GitHub

convex-agents

waynesutton

Building AI agents with the Convex Agent component including thread management, tool integration, streaming responses, RAG patterns, and workflow orchestration

GitHub

remember

harperreed

Use when you learn something worth preserving, complete a project milestone, discover user preferences, or need to recall past context - search before create, tag consistently, verify retrieval

GitHub

bmad-orchestrator

aj-geddes

Orchestrates BMAD workflows for structured AI-driven development. Use when initializing BMAD in projects, checking workflow status, or routing between 4 phases (Analysis, Planning, Solutioning, Implementation)....

GitHub

builder

aj-geddes

Creates custom agents, workflows, and templates for BMAD. Extends BMAD functionality with domain-specific components. Trigger keywords - create agent, create workflow, custom skill, extend BMAD, new template, c...

GitHub

swarm-coordination

joelhooks

Multi-agent coordination patterns for OpenCode swarm workflows. Use when working on complex tasks that benefit from parallelization, when coordinating multiple agents, or when managing task decomposition. Do NO...

GitHub

virtualhome-skills

benchflow-ai

Skill library for embodied household task planning in VirtualHome environments. Provides reusable high-level skills composed of primitive actions to generate executable programs from task descriptions and initi...

GitHub

pddl-skills

benchflow-ai

Automated Planning utilities for loading PDDL domains and problems, generating plans using classical planners, validating plans, and saving plan outputs. Supports standard PDDL parsing, plan synthesis, and corr...

GitHub

jax-skills

benchflow-ai

High-performance numerical computing and machine learning workflows using JAX. Supports array operations, automatic differentiation, JIT compilation, RNN-style scans, map/reduce operations, and gradient computa...

GitHub

validation-scripts

benchflow-ai

Data validation and pipeline testing utilities for ML training projects. Validates datasets, model checkpoints, training pipelines, and dependencies. Use when validating training data, checking model outputs, t...

GitHub

auto-skill-generator

benchflow-ai

Generate skills from web research. Given a topic like "how to use Stripe API" or "Prisma ORM", this skill searches for authoritative documentation, crawls the best source, and generates a ready-to-use .md skill...

GitHub

modal-gpu

benchflow-ai

Run Python code on cloud GPUs using Modal serverless platform. Use when you need A100/T4/A10G GPU access for training ML models. Covers Modal app setup, GPU selection, data downloading inside functions, and res...

GitHub

docx

benchflow-ai

Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx file...

GitHub

planning-with-files

benchflow-ai

Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool cal...

GitHub

context-manager

rmyndharis

Elite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems. Orchestrates context across multi-agent workflows, enterprise AI...

GitHub

c4-context

rmyndharis

Expert C4 Context-level documentation specialist. Creates high-level system context diagrams, documents personas, user journeys, system features, and external dependencies. Synthesizes container and component d...

GitHub

seo-content-auditor

rmyndharis

Analyzes provided content for quality, E-E-A-T signals, and SEO best practices. Scores content and provides improvement recommendations based on established guidelines. Use PROACTIVELY for content review.

GitHub

ml-engineer

rmyndharis

Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature engineering, A/B testing, and monitoring. Use PROACTIVELY for ML model deployment, inference...

GitHub

team-composition-analysis

rmyndharis

This skill should be used when the user asks to "plan team structure", "determine hiring needs", "design org chart", "calculate compensation", "plan equity allocation", or requests organizational design and hea...

GitHub

prompt-engineering-patterns

rmyndharis

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt temp...

GitHub

vector-database-engineer

rmyndharis

Expert in vector databases, embedding strategies, and semantic search implementation. Masters Pinecone, Weaviate, Qdrant, Milvus, and pgvector for RAG applications, recommendation systems, and similar

GitHub

llm-evaluation

rmyndharis

Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing...

GitHub

airflow-dag-patterns

rmyndharis

Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.

GitHub

fastapi-templates

rmyndharis

Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.

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.

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