dag-executor
End-to-end DAG execution orchestrator that decomposes arbitrary tasks into agent graphs and executes them in parallel. The intelligence layer that makes DAG…
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Updated 10-29 00:09
25,124 results
End-to-end DAG execution orchestrator that decomposes arbitrary tasks into agent graphs and executes them in parallel. The intelligence layer that makes DAG…
Template-based AI prompt engine with YAML templates, brand kit injection, input sanitization for security, and token-efficient context blocks.
Submit an AI agent to agentlaunch (a Product Hunt-style directory for AI agents) and read the directory via a public, no-auth REST API. Use when listing,…
Build a real-time voice agent on Deepgram's Voice Agent API: one WebSocket at wss://agent.deepgram.com/v1/agent/converse that runs speech-to-text, a language…
Ask which skill or flow fits your situation. A router over the docs/Agent-Note maintenance flow, the documentation governance run, the prose-and-docs tool…
One-command automatic bug-fix orchestrator for this Project Memory MCP workspace using Revisionist → Executor → Reviewer loops plus testing.
Skill experience evolution manager. At the end of a conversation, analyze user feedback, extract best practices and solutions, persist them to evolution.json, and stitch them into SKILL.md. Supports a three-tier architecture (upstream tier, global tier, project tier) to enable cross-project experience management. Use this tool when the user says "retrospective", "record experience", "save this tip", or "evolve".
Automates the process of posting to an already logged-in Instagram account using a browser-capable agent. Use this skill when the user requests to post,…
LLM-powered multi-attribute reranking of candidate sets via pairwise comparison. Supports canonical attributes (clarity, technical_depth, insight), custom…
Background knowledge for droid-control workflows -- not invoked directly. Desktop-control driver mechanics for native GUI app automation via trycua cua-driver.
Use when implementing Redis patterns for games — caching, leaderboards, pub/sub messaging, session storage, rate limiting, or ephemeral game state. Triggers:…
Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or…
Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support
Anthropic's method for training harmless AI through self-improvement. Two-phase approach - supervised learning with self-critique/revision, then RLAIF (RL from…
Expert guidance for distributed training with DeepSpeed - ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8, 1-bit Adam, sparse attention
Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek V3, or…
Expert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training
Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device…
Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral). Use when need clean model…
Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support
State-space model with O(n) complexity vs Transformers' O(n²). 5× faster inference, million-token sequences, no KV cache. Selective SSM with hardware-aware…
Provides guidance for enterprise-grade RL training using miles, a production-ready fork of slime. Use when training large MoE models with FP8/INT4, needing…
Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT. Use when compressing models without retraining, achieving 50%…
Educational GPT implementation in ~300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpathy.…