geepers
claudeMulti-agent orchestration system with 51 specialized agents for development workflows, code quality, deployment, research, and more. Built with MCP tools and Claude Code plugin agents.
51 agents
Model interpretability and explainability
Plugin model-explainability-tool from marketplace claude-code-plugins-plus in flight505/skill-forge. Commands read from the repo's manifest — 1 month ago.
explaining-machine-learning-modelsBuild this skill enables AI assistant to provide interpretability and
/model-explainability-tool:explain-modelExecute AI/ML task with intelligent automation
Multi-agent orchestration system with 51 specialized agents for development workflows, code quality, deployment, research, and more. Built with MCP tools and Claude Code plugin agents.
51 agents
Multi-agent orchestration system with 51 specialized agents for development workflows, code quality, deployment, research, games, and more. Includes orchestrators for checkpoint, deploy, quality, fullstack, research, games, corpus, web, and python workflows.
51 agents
Engineering + Product team — 23 agents as Claude Code specialists. Infrastructure, DevOps, backend, security, ML/AI, mobile, UX, analytics, growth, strategy, and more.
23 skills · 23 agents · hooks
Claude Code skill pack for Shopify (30 skills)
38 skills
LangChain 1.0 + LangGraph 1.0 skill pack for Python. Pain-first skills anchored to a 68-entry pain catalog covering content blocks, streaming token accounting, structured-output, vector stores, checkpointing, HITL, middleware, Deep Agents, and native OTEL. Expanding toward 34 skills across four epics.
33 skills
Claude Code skill pack for building with the Claude API and Anthropic SDK (30 skills)
32 skills
AI-powered codebase understanding — analyze, visualize, and explain any project
9 skills · 10 agents · hooks
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and external agent monitoring.
19 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
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and external agent monitoring.
19 skills
Run a faster, provable month-end close. Three deterministic stdlib scripts: a close calendar planner that orders tasks by dependency, finds the critical path and slack, maps WD+n deadlines to dates and blocks on missing owners, missing or self-review of key controls and a critical path past the target workday; a reconciliation matcher that matches GL to bank or sub-ledger by reference then amount and date, builds the proof, ages reconciling items and blocks on any unexplained difference or preparer-as-reviewer; and a flux analyzer that applies your materiality rule and refuses material fluctuations explained with boilerplate or without a quantified driver. Ships cs-close-controller agent, /cs-month-end-close and /cs-flux-review commands, 3 references citing COSO 2013 and PCAOB AS 2201 / AS 2305 / SAPA 11, and a reconciliation sign-off template.
1 skill · 2 commands · 1 agent
Skills for click-driven web video presentations and screen-recorded explainers.
1 skill
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