Artificer's Codex
claudecodexOptional AI and ML engineering specialization from model training to serving.
7 skills
Save, search, tag, and manage reusable AI prompts via the pv CLI — a local SQLite-backed library with version history, tag filtering, and JSON export/import.
Plugin prompt-vault from marketplace opencoven-first-party in OpenCoven/marketplace. Commands read from the repo's manifest — 5 days ago.
prompt-vaultUse the pv CLI to add prompts with comma-separated tags, search by substring, list or filter by tag, and export the library to JSON for backup.
Optional AI and ML engineering specialization from model training to serving.
7 skills
Reproducible data, training, tracking, and experiment recipes.
4 skills
Ingestion, retrieval, provenance, and durable research memory.
4 skills
Evidence-grounded synthesis, papers, plots, and conference talks.
4 skills
Evaluation design, rigor review, and benchmark execution.
3 skills
Persist and recall cross-session memory and curated knowledge-vault references for your familiars.
2 skills
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
32 engineering skills: architecture, frontend, backend, fullstack, QA, DevOps, security, AI/ML, data engineering, Playwright (9 sub-skills), self-improving agent, Stripe integration, TDD guide, tech stack evaluator, Google Workspace CLI, a11y audit (WCAG 2.2), Azure cloud architect, GCP cloud architect, security pen testing, Snowflake development, adversarial-reviewer, ai-security, cloud-security, incident-response, red-team, threat-detection. v2.8.1 audits senior-fullstack / senior-frontend / senior-backend against karpathy-coder + Matt Pocock — each ships a 7-question forcing-question library, 4 customization profiles (JSON), deterministic decision engine, composition map into POWERFUL specialists, plus cs-fullstack-engineer / cs-frontend-engineer / cs-backend-engineer orchestrator agents (context: fork) + /cs-fullstack-review, /cs-frontend-review, /cs-backend-review, /cs-engineer-grill slash commands.
35 skills · hooks
Data engineering, ML, and AI specialists - data pipelines, machine learning, LLM architecture
AI and ML skills for .NET: technology selection, LLM integration, agentic workflows, RAG pipelines, MCP, and classic ML with ML.NET.
1 skill
Semi-automated research assistant with skills for literature review, experiments, analysis, writing, and project knowledge management
45 skills · 66 commands · 6 agents · hooks
Agents for data engineering, machine learning, and AI development
12 agents
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