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.
1,747 skills in this category
avalonia-zafiro-development
davila7/claude-code-templates
90Mandatory skills, conventions, and behavioral rules for Avalonia UI development using the Zafiro toolkit.
SKILLPASSING2 Findingsabout 2 months agonosql-expert
davila7/claude-code-templates
90Expert guidance for distributed NoSQL databases (Cassandra, DynamoDB). Focuses on mental models, query-first modeling, single-table design, and avoiding hot partitions in high-scale systems.
SKILLPASSING2 Findingsabout 2 months agoautonomous-agents
davila7/claude-code-templates
90Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability. This skill covers agent loops (ReAct, Plan-Execute), goal decomposition, reflection patterns, and production reliability. Key insight: compounding error rates kill autonomous agents. A 95% success rate per step drops to 60% b
SKILLPASSING2 Findingsabout 2 months agoHTML Injection Testing
davila7/claude-code-templates
90This skill should be used when the user asks to "test for HTML injection", "inject HTML into web pages", "perform HTML injection attacks", "deface web applications", or "test content injection vulnerabilities". It provides comprehensive HTML injection attack techniques and testing methodologies.
SKILLPASSING2 Findingsabout 2 months agoagent-memory-systems
davila7/claude-code-templates
90Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragm
SKILLPASSING2 Findingsabout 2 months agobullmq-specialist
davila7/claude-code-templates
90BullMQ expert for Redis-backed job queues, background processing, and reliable async execution in Node.js/TypeScript applications. Use when: bullmq, bull queue, redis queue, background job, job queue.
SKILLPASSING2 Findingsabout 2 months agoperplexity-search
davila7/claude-code-templates
90Perform AI-powered web searches with real-time information using Perplexity models via LiteLLM and OpenRouter. This skill should be used when conducting web searches for current information, finding recent scientific literature, getting grounded answers with source citations, or accessing information beyond the model's knowledge cutoff. Provides access to multiple Perplexity models including Sonar Pro, Sonar Pro Search (advanced agentic search), and Sonar Reasoning Pro through a single OpenRouter API key.
SKILLPASSING2 Findingsabout 2 months agolatchbio-integration
davila7/claude-code-templates
90Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.
SKILLPASSING2 Findingsabout 2 months agotrigger-dev
davila7/claude-code-templates
90Trigger.dev expert for background jobs, AI workflows, and reliable async execution with excellent developer experience and TypeScript-first design. Use when: trigger.dev, trigger dev, background task, ai background job, long running task.
SKILLPASSING2 Findingsabout 2 months agodispatching-parallel-agents
davila7/claude-code-templates
90Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
SKILLPASSING2 Findingsabout 2 months agodatamol
davila7/claude-code-templates
90Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery: SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.
SKILLPASSING2 Findingsabout 2 months agoslime-rl-training
davila7/claude-code-templates
90Provides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework. Use when training GLM models, implementing custom data generation workflows, or needing tight Megatron-LM integration for RL scaling.
SKILLPASSING2 Findingsabout 2 months ago