python-development
claudecodexModern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices
16 skills · 1 command · 3 agents
RunAPI MCP server for browsing models, checking pricing, and creating image, video, music, audio, and LLM tasks.
Not in a marketplace yet, so it loads for one session with --plugin-dir.
Plugin runapi-mcp in smartwatermelon/claude-code-workflows-agents. Commands read from the repo's manifest — 10 days ago.
This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.
/runapi-mcp:balanceCheck the authenticated RunAPI account balance and spending metrics.
/runapi-mcp:genQuick RunAPI generation. Use when the user runs /runapi:gen with a prompt and wants to skip broad exploration.
/runapi-mcp:modelsList and compare RunAPI models by modality, service, or action.
/runapi-mcp:setupGuide the user through RunAPI API key setup for Claude Code and other MCP hosts.
model-advisorModel discovery and recommendation agent. Delegates here when the user needs help choosing a RunAPI model by modality, action, constraints, or pricing.
task-executorMedia task execution agent. Delegates here for create_task calls so the main conversation stays focused. Spawn one per task for parallel generation.
runapiruns: npx -y @runapi.ai/[email protected]
Problems found in this repo's manifests
Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices
16 skills · 1 command · 3 agents
Fork of wshobson/agents (comprehensive-review plugin source) with trimmed agent descriptions
9 skills · 1 command · 8 agents
Fork of wshobson/agents (comprehensive-review plugin source) with trimmed agent descriptions
6 skills · 7 commands · 4 agents
Fork of wshobson/agents (comprehensive-review plugin source) with trimmed agent descriptions
9 skills · 4 commands · 3 agents
Cloud architecture design for AWS/Azure/GCP/OCI, Kubernetes cluster configuration, Terraform infrastructure-as-code, hybrid cloud networking, and multi-cloud cost optimization
8 skills · 7 agents
Eval-gated LLM fine-tuning lifecycle: LoRA/QLoRA SFT, preference optimization (DPO/ORPO/KTO), GRPO/RLVR, vision SFT, and quantized export — Unsloth-first with TRL fallback, no eval harness means no fine-tune
10 skills · 2 commands · 3 agents
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
Multi-agent orchestration with AI SDK v5 - handoffs, routing, and coordination for any AI provider (OpenAI, Anthropic, Google)
1 skill · 3 commands · 1 agent
LLM application development, prompt engineering, and AI assistant optimization
5 skills · 3 commands · 2 agents
LLM application development, prompt engineering, and AI assistant optimization
5 skills · 3 commands · 2 agents
LLM application development, prompt engineering, and AI assistant optimization
4 skills · 3 commands · 2 agents
AI & Agents bundle — 388 curated skills (agents, ai-ml, prompt-engineering) for Claude Code, Codex & Antigravity.
200 skills
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