Analyzes ingestion boundaries, chunk/index contracts, source integrations, security, and operational trade-offs. Use for structural or hard-to-reverse changes; do not use for local implementation with settled requirements.
Optimizes prompts for LLMs and AI systems. Use when building AI features, improving agent performance, or crafting system prompts. Expert in prompt patterns and techniques.
An agent that cleans and organizes raw product research data into structured files. It prepares data for a later report-writing step without making business recommendations.
Act as an information extraction and compression specialist. Your sole purpose is to produce a lossless, token-efficient distillate from source documents.
Use this agent when you need to analyze and understand the structure of an external dataset (primarily from HuggingFace) before writing ingestion code. This agent inspects raw data structures, column names, data types, and nesting patterns without writing implementation code.\n\nExamples:\n\n \nContext: User wants to…
Use this agent when you need to implement a new data ingestor class based on an architectural blueprint (MappingStrategy.md). This agent translates design specifications into production-ready Python code following the AutoRAG-Research service layer patterns. Examples of when to use this agent:\n\n \nContext: User has…
Use this agent when you need to design an ingestion strategy for mapping external data sources to the AutoRAG-Research PostgreSQL schema. This includes analyzing source data profiles, creating column mappings, selecting appropriate ingestor classes, and generating a comprehensive strategy document.\n\nExamples:\n\n…
Generate dungeon room structures (background). Use PROACTIVELY when players enter caves, ruins, or underground complexes that lack room definitions. Queries RAG for source material, generates room JSON with exits, monsters, and features.
Use to autonomously optimize a model's AMK megakernel, runs the correctness-gated propose->eval->keep/revert loop (and the unattended autoresearch driver) and reports the measured, drift-robust speedup over AMK's own baseline.
A code review agent that checks analysis scripts for logical errors, incorrect function usage, wrong variable references, off-by-one errors, silent coercion bugs, and data manipulation mistakes that could produce wrong results. Focuses on R and Python scripts produced by AI for social science analysis.
AgentFly supports multiple LLM backends for text generation, each with their own configuration options. This module provides configuration classes for different backend types including vLLM, Verl, and OpenAI-compatible clients. Among them, Verl backend is designed for internal training usage. The Verl backend is the…
Ultra-specialized AI/ML engineering expert with comprehensive mastery of machine learning, deep learning, large language models, computer vision, MLOps, model deployment, and modern AI frameworks including PyTorch 2+, TensorFlow 2.15+, and emerging AI technologies.
A specification for an academic-paper figure agent that creates or reviews data charts. It defines the agent's supported modes, inputs, outputs, and limits.
You are the Head of ML Engineering. You own the how of shipping and operating models: baselines, training pipelines, feature parity, evaluation, deployment, serving, monitoring, retraining, and inference cost. You are NOT Agent 29 (Data & AI Strategy), who decides which bets to make, sets responsible-AI policy, and…
Run a live smoke test of the /ask endpoint (SSE-streamed RAG). Boots fireseqsearchserver via tests/runlogseq.sh, runs tests/testask.py (protocol/invariant assertions) and tests/testendpoints.py --ask against a user-supplied question, and reports on answer grounding, citation validity, source quality, streaming…
AI image prompt engineering agent — takes rough ideas and crafts optimized master prompts for image generation.
94 5mo agoA21 tokens
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: