Train and optimize machine learning models with automated workflows
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Plugin ml-model-trainer in jar-reis/athenaeum. Commands read from the repo's manifest — 1 month ago.
Training Machine Learning ModelsThis skill trains machine learning models using automated workflows. It analyzes datasets, selects appropriate model types (classification, regression, etc.), configures training parameters, trains the model with cross-validation, generates performance metrics, and saves the trained model artifact.
/ml-model-trainer:trainTrain a machine learning model with specified parameters
Dialectic claim discipline for AI agents: scholastic vocabulary, peer-grill file-based reconciliation, runnable verifiers/falsifiers, multi-agent ratification, fleet-ratify N-agent attestation, permutation NxN fleet topology ratification. Synthesis: an unexamined claim does not exist.
10 skills
Open-source investment research terminal integration - equity analysis, crypto tracking, macro indicators, portfolio optimization, and AI-powered financial insights using OpenBB Platform
6 commands · 4 agents
Comprehensive operations manager for FairDB managed PostgreSQL service - SOPs, incident response, monitoring, and automation
6 commands · 3 agents
Comprehensive operations manager for FairDB managed PostgreSQL service - SOPs, incident response, monitoring, and automation
6 commands · 3 agents
Engineering lifecycle skills forked from Matt Pocock's framework: SDLC scaffolding (setup-matt-pocock-skills), test-driven development (tdd), plan-to-issues decomposition (to-issues), context-to-PRD (to-prd), issue triage state machine (triage), disciplined diagnosis (diagnose), architecture deepening (improve-codebase-architecture), and zoom-out perspective (zoom-out). Run setup-matt-pocock-skills first to configure your repo before using the others.
8 skills
Complete operations kit for FairDB PostgreSQL as a Service - VPS setup, PostgreSQL management, customer provisioning, monitoring, and backup automation
1 skill · 4 commands · 1 agent
Matt Pocock's agent skills for real engineering (grilling, spec/ticket flows, TDD, code review, domain modelling and more).
39 skills
Token usage tracking, model cost attribution per agent, budget alerts, and optimization recommendations
24 skills · 1 command · 1 agent · hooks
5 skills + 35 modes + Material Passport pipeline. Includes v3.6.7 cross-model audit gate and v3.6.8 generator-evaluator contract.
5 skills · 16 commands · 4 agents · hooks
Install the "Architecture & Domain Modeling" editorial skill bundle for Claude Code.
13 skills
Independent auditing for AI agents, open source. Claude discovers your setup, confirms the cost, and audits your agent against the one question other tools skip: is it doing the job it's supposed to do, given your business rules and org structure? Test any model (Anthropic, OpenAI, Gemini, Azure, Bedrock, …) graded by self, one independent judge, or a cross-vendor panel; each provider is billed to its own account via a key in your settings, never the command line. Results render as an interactive artifact (with a static-report fallback).
1 skill · hooks
Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.
10 skills · 2 commands · 3 agents
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