Découvrez les skills devops llm ai, comparez leurs dépôts et consultez leurs instructions.
Creates Agentforce agents using Agent Script syntax with 100-point scoring. Use when building AI agents, defining topics and actions, or deploying AiAuthoringBundle (v65+) or GenAiPlannerBundle (v65+) metadata.
Create annotated blog posts from technical talks with slides. Use when asked to convert a video presentation to a blog post, create written content from a talk, or annotate slides with transcript.
Multimodal AI processing using Google Gemini. Use for analyzing PDFs, images, videos, YouTube links, and other large documents. Ideal when you need to extract information from files that require vision or multi...
Transform brain dumps into polished blog posts in Nick Nisi's voice. Use when the user wants to write a blog post with scattered ideas, talking points, and conclusions that need organization into a cohesive nar...
Analyze coding sessions to detect corrections and preferences, then propose targeted improvements to Skills used in the session. Use this skill when the user asks to "learn from this session", "update skills",...
Transform raw brain dumps (dictated freestyle) into structured implementation artifacts. Use when user has messy ideas, scattered thoughts, or dictated stream-of-consciousness about something they want to build...
Multi-model AI consultation and research. Supports CONSULTATION MODE (ask single expert), RESEARCH MODE (parallel multi-agent), or DELIBERATION MODE (agents debate and refine). USE WHEN user says 'ask gemini',...
Create conference talk outlines and iA Presenter markdown slides using the Story Circle narrative framework. Use when the user wants to structure a tech talk, create presentation slides, or needs help organizin...
In Codex interactive mode, call delegate_autopilot automatically for multi-step or cross-cutting requests (including research-only), otherwise work normally.
Capture conversation content to reviews/, issues/, TODO.md, or Prompt.md with auto-classification
Author Smithers (smithers-orchestrator) Bun/TSX JSX workflows for Claude Code: durable, resumable, observable orchestration with SQLite state (phases/steps), tool-scoped agents, optional parallelism, and workfl...
Guidance for implementing minimal GPT-2 inference in constrained environments (code golf challenges). This skill should be used when implementing neural network inference from scratch, parsing binary checkpoint...
Manage Letta AI agent fleets declaratively with kubectl-style CLI. Use when creating, updating, or managing multiple Letta agents with shared configurations, memory blocks, tools, and folders.
Guidance for implementing CLI tools that perform inference using PyTorch models in native languages (C/C++/Rust). This skill should be used when tasks involve extracting weights from PyTorch .pth files, impleme...
Comprehensive guide for developing Letta agents, including architecture selection, memory design, model selection, and tool configuration. Use when building or troubleshooting Letta agents.
This skill provides guidance for tasks involving merging git branches that contain different implementations of ARC-AGI pattern recognition algorithms, and then implementing a working solution that generalizes...
Guidance for deploying HuggingFace models as inference APIs/services. This skill applies when tasks involve downloading pre-trained models from HuggingFace Hub, creating REST APIs for model inference, building...
This skill provides guidance for semantic similarity retrieval tasks using embedding models (e.g., MTEB benchmarks, document ranking). It should be used when computing embeddings for documents/queries, ranking...
Guidance for implementing batching schedulers for LLM inference systems with compilation-based accelerators. This skill applies when optimizing request batching to minimize cost while meeting latency thresholds...
Integration patterns and best practices for adding persistent memory to LLM agents using the Letta Learning SDK
Guidance for training FastText text classification models with constraints on model size and accuracy. This skill should be used when training FastText models, optimizing hyperparameters, or balancing trade-off...
Guide for reverse-engineering and recreating programmatically-generated ray-traced images. This skill should be used when tasks involve analyzing a target image to determine rendering parameters, implementing p...
Guidance for optimizing LLM inference request batching and scheduling problems. This skill applies when designing batch schedulers that minimize cost while meeting latency and padding constraints, involving tra...
Guidance for querying ML model leaderboards and benchmarks (MTEB, HuggingFace, embedding benchmarks). This skill applies when tasks involve finding top-performing models on specific benchmarks, comparing model...
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.