LLM & Agents

Guidance for Golden Gate assembly primer design and DNA assembly tasks. This skill should be used when designing primers for Golden Gate cloning, Type IIS restriction enzyme assembly, or multi-fragment DNA assembly workflows. It covers overhang selection, primer structure, assembly simulation, and verification strategies.

Use when creating Claude Code hooks - covers hook patterns, composition, testing, progressive enhancement from simple to advanced

Content optimization workflow covering keyword integration, semantic enhancement, structure optimization, and AI extractability. Use for improving existing content for both search engines and LLMs.

Configure or debug LLM blog post generation using Vercel AI SDK and Google Gemini. Use when updating blog generation prompts, fixing AI integration issues, or modifying content generation logic.

Use proactively when refactoring Ruby on Rails code. Applies Rails conventions, Sandi Metz rules, and idiomatic Ruby patterns while maintaining test coverage.

Guide for creating effective skills with UV + justfile structure. This skill should be used when users want to create a new skill (or update an existing skill) that extends the agent's capabilities with specialized knowledge, workflows, or tool integrations. Skills includePEP 723 compliant Python scripts managed via justfile for consistent execution.

Find where potential customers discuss problems online and extract their language patterns. Provides starting points for community research, not exhaustive coverage.

Router skill for DiPeO frontend (React, visual editor, GraphQL integration, TypeScript types). Use when task mentions React components, diagram editor, GraphQL hooks, or type errors. For simple tasks, handle directly; for complex work, escalate to dipeo-frontend-dev agent.

Manage coordinator daemon tasks, approve/reject work, monitor autonomous agents. Use when user asks to delegate tasks, check task status, review agent work, manage the coordinator, or use GitHub-driven approval workflow.

Guide for designing effective memory architectures in Letta agents. Use when users need help structuring memory blocks, choosing between memory types, or optimizing memory management patterns.

Router skill for DiPeO runtime Python code (execution handlers, service architecture, domain models, LLM infrastructure). Use when task mentions node handlers, EventBus, ServiceRegistry, Envelope pattern, or domain logic. For simple tasks, handle directly; for complex work, escalate to dipeo-package-maintainer agent.

Use when facing 3+ independent failures that can be investigated without shared state or dependencies - dispatches multiple Claude agents to investigate and fix independent problems concurrently

This skill guides Cloudflare Workers and Pages development with Wrangler CLI. Use when creating Workers, configuring D1 databases, R2 storage, KV namespaces, Queues, or deploying to Cloudflare Pages.

Guidance for building gRPC-based key-value store services in Python. This skill should be used when tasks involve creating gRPC servers, defining protocol buffer schemas, or implementing key-value storage APIs with gRPC. Covers proto file creation, code generation, server implementation, and verification strategies.

Guidance for optimizing LLM inference request batching and scheduling problems. This skill applies when designing batch schedulers that minimize cost while meeting latency and padding constraints, involving trade-offs between batch count, shape selection, and padding ratios. Use when the task involves grouping requests by sequence lengths, managing shape compilation costs, or optimizing multi-objective scheduling with hard constraints.

Advanced patterns for generating high-quality Claude Code commands. Used by /new-command.

Integration patterns and best practices for adding persistent memory to LLM agents using the Letta Learning SDK

This skill provides guidance for semantic similarity retrieval tasks using embedding models (e.g., MTEB benchmarks, document ranking). It should be used when computing embeddings for documents/queries, ranking documents by similarity, or identifying top-k similar items. Covers data preprocessing, model selection, similarity computation, and result verification.

Creates 4 root documentation files (CLAUDE.md, docs/README.md, documentation_standards.md, principles.md). L3 Worker invoked by ln-110-project-docs-coordinator.

This skill provides guidance for compiling software (particularly SQLite) with gcov code coverage instrumentation, installing to custom prefixes, and making binaries available system-wide. Use when tasks involve compiling C/C++ projects with coverage flags, installing software to non-standard locations, or ensuring PATH availability for installed binaries.