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productivity-tools
2

websocket-toolkit-googleai-dart

Automates updating googleai_dart when Gemini Live API WebSocket schema changes. Fetches latest schema, compares against current, generates changelogs and prioritized implementation plans. Use for: (1) Checking for Live API updates, (2) Generating implementation plans for WebSocket changes, (3) Creating new message types from schema, (4) Syncing local schema with upstream. Triggers: "update live api", "sync websocket", "new messages", "live api changes", "check for live updates", "update live schema", "websocket version", "fetch live schema", "compare live schema", "what changed in live api", "live implementation plan".

davidmigloz
davidmigloz
tools
open
productivity-tools
2

ralph-wiggum

Continuous iteration loop pattern for well-defined tasks with clear completion criteria. Use when getting tests to pass, implementing features with automatic verification, bug fixing with clear success conditions, or running automated development overnight. Provides prompt templates, safety guidelines, and integration patterns for ai-eng-system workflows.

v1truv1us
v1truv1us
tools
open
productivity-tools
2

convex-expert-2025

Expert Convex backend development for December 2025. Use when (1) Building Convex queries, mutations, or actions, (2) Defining schemas and validators, (3) Integrating Convex with React/Next.js, (4) Implementing authentication with Convex Auth or Clerk, (5) Building AI agents with persistent memory, (6) Using file storage, scheduling, or workflows, (7) Optimizing database queries with indexes, or any Convex backend architecture questions.

Ghostspeak
Ghostspeak
tools
open
llm-ai
2

claude-code-memory

Maintain Claude Code memory hygiene by auditing, organizing, updating, and optimizing memory files in `.claude/memory/`. Use when users request memory cleanup, organization, updates, or want to reduce context pollution. Handles stale content, redundancy, conflicts, and file organization issues.

AugurProject
AugurProject
data-ai
open
divination-mysticism
2

soul-composer

AI agent that helps creators compose their Life Symphony - translating the 7 Pillars into musical metaphors and creative expression

frankxai
frankxai
lifestyle
open
wellness-health
2

lifesmith

AI agent that forges the foundations of your Soulbook - building habits, systems, and structures across all 7 Pillars

frankxai
frankxai
lifestyle
open
philosophy-ethics
2

ai-board

Advanced multi-agent reasoning system for complex questions requiring maximum accuracy. Uses adaptive technique selection, adversarial validation, multi-agent debate, and deep analysis. Trigger phrases "ai board", "expert panel", "deep analysis", "maximum accuracy", "thorough reasoning". Use for critical medical decisions, theological questions, philosophical analysis, complex technical problems, high-stakes decisions, or any question requiring 95%+ confidence.

ericbuess
ericbuess
lifestyle
open
machine-learning
2

ran-causal-inference-specialist

Causal inference and discovery for RAN optimization with Graphical Posterior Causal Models (GPCM), intervention effect prediction, and causal relationship learning. Discovers causal patterns in RAN data and enables intelligent optimization through causal reasoning.

ricable
ricable
data-ai
open
machine-learning
2

moai-domain-data-science

Production-grade data science specialist with TensorFlow 2.20.0, PyTorch 2.9.0, Scikit-learn 1.7.2 expertise. Master data processing, ML pipeline development, model deployment, and statistical analysis. Build end-to-end data science solutions with comprehensive experimentation and visualization.

AJBcoding
AJBcoding
data-ai
open
machine-learning
2

flow-nexus-neural

Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus

bjpl
bjpl
data-ai
open
machine-learning
2

dataset-curator

Curate and clean training datasets for high-quality machine learning

eddiebe147
eddiebe147
data-ai
open
machine-learning
2

td-train-test-split

Data splitting for model validation using TD_TrainTestSplit

teradata-labs
teradata-labs
data-ai
open
machine-learning
2

causal-inference

Bengio's causal inference for AI: Interventional reasoning, counterfactuals, and System 2 deep learning. World models with causal structure.

plurigrid
plurigrid
data-ai
open
machine-learning
2

fine-tuning

LLM fine-tuning with LoRA, QLoRA, and instruction tuning for domain adaptation.

pluginagentmarketplace
pluginagentmarketplace
data-ai
open
machine-learningmarketplace
2

detection-tuner

Investigate noisy/common alerts and create false positive (FP) rules to suppress benign detections. Analyzes detection frequency over 7 days, identifies patterns, generates and tests FP rules with operator approval before deployment. Use for tuning detection noise, reducing alert fatigue, suppressing known-safe activity, or when specific detections need filtering. Human-in-the-loop workflow ensures no FP rules are deployed without explicit approval.

refractionPOINT
refractionPOINT
data-ai
open
machine-learning
2

ai-engineer

You are a highly skilled AI Engineer specializing in the practical application of machine learning models. You are an expert in Python and popular AI/ML frameworks like TensorFlow, PyTorch, and scikit-learn. You excel at data preprocessing, model training, evaluation, and deployment.

aibangjuxin
aibangjuxin
data-ai
open
machine-learning
2

moai-domain-ml

Enterprise Machine Learning specialist with TensorFlow 2.20.0, PyTorch 2.9.0, Scikit-learn 1.7.2 expertise. Master AutoML, neural architecture search, MLOps automation, and production ML deployment. Build scalable ML pipelines with comprehensive monitoring and experiment tracking.

AJBcoding
AJBcoding
data-ai
open
machine-learning
2

cognitive-surrogate

Layer 6 Barton Cognitive Surrogate - build, train, validate psychological models with >90% fidelity

plurigrid
plurigrid
data-ai
open
machine-learning
2

ran-reinforcement-learning-engineer

Reinforcement learning engineering for RAN systems with policy gradients, experience replay, and AgentDB integration. Implements hybrid RL with multi-objective optimization for energy, mobility, coverage, and capacity.

ricable
ricable
data-ai
open
machine-learning
2

base-model-selector

Use when starting a fine-tuning project to determine if fine-tuning is needed, or when evaluating whether a base model meets quality thresholds for a specific domain task

marcgreen
marcgreen
data-ai
open
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