Category
Developer Tools
Developer-focused skills for code editing, version control, CI/CD pipelines, debugging, and development workflows. These tools help AI agents assist with software engineering tasks.
1,822 skills in this category
autogpt-agents
davila7/claude-code-templates
90Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex multi-step AI automation systems.
SKILLPASSING2 Findings7 months agoai-agents-architect
davila7/claude-code-templates
90Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool use, function calling.
SKILLPASSING2 Findings7 months agopytorch-lightning
davila7/claude-code-templates
90High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use when you want clean training loops with built-in best practices.
SKILLPASSING2 Findings7 months agostripe-integration
davila7/claude-code-templates
90Get paid from day one. Payments, subscriptions, billing portal, webhooks, metered billing, Stripe Connect. The complete guide to implementing Stripe correctly, including all the edge cases that will bite you at 3am. This isn't just API calls - it's the full payment system: handling failures, managing subscriptions, dealing with dunning, and keeping revenue flowing. Use when: stripe, payments, subscription, billing, checkout.
SKILLPASSING2 Findings7 months agotavily-web
davila7/claude-code-templates
90Web search, content extraction, crawling, and research capabilities using Tavily API
SKILLPASSING2 Findings7 months agopytorch-lightning
davila7/claude-code-templates
90Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.
SKILLPASSING2 Findings7 months agoprompt-caching
davila7/claude-code-templates
90Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching, cache prompt, response cache, cag, cache augmented.
SKILLPASSING2 Findings7 months agoisms-audit-expert
davila7/claude-code-templates
90Senior ISMS Audit Expert for internal and external information security management system auditing. Provides ISO 27001 audit expertise, security audit program management, security control assessment, and compliance verification. Use for ISMS internal auditing, external audit preparation, security control testing, and ISO 27001 certification support.
SKILLPASSING2 Findings7 months agodocumentation-templates
davila7/claude-code-templates
90Documentation templates and structure guidelines. README, API docs, code comments, and AI-friendly documentation.
SKILLPASSING2 Findings7 months agomarp-slide
davila7/claude-code-templates
90Create professional Marp presentation slides with 7 beautiful themes (default, minimal, colorful, dark, gradient, tech, business). Use when users request slide creation, presentations, or Marp documents. Supports custom themes, image layouts, and "make it look good" requests with automatic quality improvements.
SKILLPASSING2 Findings7 months agon8n-code-python
davila7/claude-code-templates
90Write Python code in n8n Code nodes. Use when writing Python in n8n, using _input/_json/_node syntax, working with standard library, or need to understand Python limitations in n8n Code nodes.
SKILLPASSING2 Findings7 months agostable-baselines3
davila7/claude-code-templates
90Use this skill for reinforcement learning tasks including training RL agents (PPO, SAC, DQN, TD3, DDPG, A2C, etc.), creating custom Gym environments, implementing callbacks for monitoring and control, using vectorized environments for parallel training, and integrating with deep RL workflows. This skill should be used when users request RL algorithm implementation, agent training, environment design, or RL experimentation.
SKILLPASSING2 Findings7 months ago