LLM & Agents

Manage GitHub repositories for Claude Code plugins including issues, pull requests, releases, CI/CD workflows, and GitHub Actions. Use when working with GitHub repository management, creating releases, setting up CI/CD, managing issues or pull requests.

Automated test fixture generation for Vigil Guard's 8-file test suite. Use for TDD workflow, malicious/benign payload creation, 3-branch detection testing, bypass scenario testing, and maintaining test coverage.

Guides development with SAP AI Core and SAP AI Launchpad for enterprise AI/ML workloads on SAP BTP. Use when: deploying generative AI models (GPT, Claude, Gemini, Llama), building orchestration workflows with templating/filtering/grounding, implementing RAG with vector databases, managing ML training pipelines with Argo Workflows, configuring content filtering and data masking for PII protection, using the Generative AI Hub for prompt experimentation, or integrating AI capabilities into SAP applications. Covers service plans (Free/Standard/Extended), model providers (Azure OpenAI, AWS Bedrock, GCP Vertex AI, Mistral, IBM), orchestration modules, embeddings, tool calling, and structured outputs.

Implements stateful agent graphs using LangGraph. Use when building graphs, adding nodes/edges, defining state schemas, implementing checkpointing, handling interrupts, or creating multi-agent systems with LangGraph.

Record quality metrics baseline before refactoring or major changes, capturing audit scores, test coverage, and complexity for comparison

World-class security content writer for VibeShip Knowledge Base. Creates authoritative, SEO-optimized, LLM-extractable content about cybersecurity vulnerabilities in AI-generated code.Use this skill when:- Writing vulnerability articles (SQL injection, XSS, IDOR, etc.)- Creating AI tool security analysis (Cursor, Claude Code, Bolt patterns)- Writing stack security guides (Next.js + Supabase, Express, etc.)- Generating fix prompts for AI coding tools- Creating security checklists and glossary entries- Writing research content (Vulnerability Index, methodology)- Any security-related KB content for vibeship.co/kb/security/Expertise: SEO optimization, LLM citation optimization, OWASP vulnerabilities, CWE database, AI-generated code patterns, vibe coder audience, technical writing for non-security-experts.

Using Qwen 2.5 models via Ollama for local LLM inference, text analysis, and AI-powered automation

Generate a plan for how an agent should accomplish a complex coding task. Use when a user asks for a plan, and optionally when they want to save, find, read, update, or delete plan files in $CODEX_HOME/plans (default ~/.codex/plans).

Redis semantic caching for LLM applications. Use when implementing vector similarity caching, optimizing LLM costs through cached responses, or building multi-level cache hierarchies.

Extracts web content and performs reliable searches when standard tools fail due to access restrictions, rate limiting, or validation errors. Use when encountering 403/429/422 errors, blocked documentation sites, or silent search failures. **Direct tool execution often fails for these scenarios - search-plus agent delegation provides the most reliable results.**

Provider-native prompt caching for Claude and OpenAI. Use when optimizing LLM costs with cache breakpoints, caching system prompts, or reducing token costs for repeated prefixes.

This skill should be used before committing code to ensure it meets Breenix quality standards. Use for running clippy checks, fixing compiler warnings, verifying no log side-effects, checking for dead code, and enforcing project coding standards from CLAUDE.md.

Research web content, documentation, and best practices using the gemini-search agent for token-efficient searches with caching. Use when you need to fetch documentation, research best practices, or gather information from the web.

Agentic workflow patterns for autonomous LLM reasoning. Use when building ReAct agents, implementing reasoning loops, or creating LLMs that plan and execute multi-step tasks.

Develops and administers SAP Build Work Zone, advanced edition digital workplace solutions. Use when creating workspaces, workpages, and collaborative sites, developing UI Integration Cards in SAP Business Application Studio, building content packages and workspace templates, integrating with Microsoft 365/Teams/SharePoint/Google Drive, configuring chatbots and webhooks, implementing SCIM API user provisioning, setting up OData business records, managing themes and branding, configuring role-based access and SSO, troubleshooting deployment issues, or working with the Administration Console.Keywords: SAP Build Work Zone advanced edition, digital workplace, UI Integration Cards, content packages, workspace templates, SAP Business Application Studio, SAP Conversational AI, SCIM API, OData, Microsoft Teams integration, SSO, theming, Administration Console

Orchestrate multiple AI instances (clauded/codex CLIs) in tmux panes. Self-discovering coordinator with mandatory verification, synchronous monitoring, and auto-approval. Zero hallucination via imperative commands. (project, gitignored)

Auto-loads when CLAUDE_CODE_IS_TEAM_LEAD environment variable is set. Provides guidance for spawned team-leads on monitoring teammates, handling consults, assigning tasks, and coordinating the team. Use this when you are a spawned team-lead (not the original orchestrator who created the swarm).

Use when creating feature specifications after brainstorming - generates lean spec documents that reference constitutions heavily, link to external docs instead of embedding examples, and focus on WHAT not HOW (implementation plans handled separately)

Expert knowledge for building AI agents with Argentic - a Python microframework for async MQTT-based agents with multi-LLM support, custom tools, and multi-agent orchestration

This skill should be used when the user asks to "set up a team", "create a swarm", "spawn teammates", "assign tasks", "coordinate agents", "work in parallel", "divide work among agents", "orchestrate multiple agents", or describes a complex task that would benefit from multiple Claude Code instances working together. Provides comprehensive guidance for team leads on creating teams, spawning teammates, assigning work, and monitoring progress across tmux/kitty terminal multiplexers.