LLM & Agents

Qdrant vector database REST API via curl. Use this skill to store, search, and manage vector embeddings.

Reviews implemented code for security, quality, performance, and test coverage using specialized review agents. Use when task file is in review/ directory and requires comprehensive code review before approval. Launches test-coverage-analyzer, error-handling-reviewer, and security-reviewer in parallel.

Skill guidance for agentdb vector search optimization.

Identify and visualize research gaps, coverage, and conflicts with explicit constraints and evidence.

Distinctive frontend design principles for avoiding generic AI defaults, implementing thoughtful typography/color/animations, and creating polished user experiences based on Claude Code design research

Comprehensive validation system for Claude Code plugins to ensure compliance with official plugin development guidelines and prevent installation failures

Manage PR review feedback loops with Gemini Code Assist. Use when pushing changes to a PR, iterating on review feedback, or monitoring CI/review status. Automatically falls back to Claude when Gemini is rate-limited.

Use when creating or publishing Claude Code hooks - covers executable format, event types, JSON I/O, exit codes, security requirements, and PRPM package structure

Coordinate the recursive improvement loop between Prompt Forge and Skill Forge with a frozen evaluation harness and auditable checkpoints.

Regel 07: Testing. Use when writing tests, reviewing test coverage, or setting up testing.

Run multi-LLM council for adversarial debate and cross-validation. Orchestrates Claude, GPT-4, and Gemini for production-grade implementation, code review, architecture design, research, and security analysis.

React Testing Strategy. Use when writing tests, reviewing test coverage, or setting up testing.

Coordinate distributed agents with resilient topologies, synchronized state, and evidence-backed communication patterns.

This skill should be used when users want to route LLM requests to different AI providers (OpenAI, Grok/xAI, Groq, DeepSeek, OpenRouter) using SwiftOpenAI-CLI. Use this skill when users ask to "use grok", "ask grok", "use groq", "ask deepseek", or any similar request to query a specific LLM provider in agent mode.

Reusable memory patterns (short/long/episodic/semantic) implemented on AgentDB.

Use when testing plans or decisions for blind spots, need adversarial review before launch, validating strategy against worst-case scenarios, building consensus through structured debate, identifying attack vectors or vulnerabilities, user mentions "play devil's advocate", "what could go wrong", "challenge our assumptions", "stress test this", "red team", or when groupthink or confirmation bias may be hiding risks.

Stratégie de Tests Python. Use when writing tests, reviewing test coverage, or setting up testing.

Provides test design patterns, coverage strategies, and best practices for comprehensive test suite development

Use when writing or reviewing NIH, NSF, or foundation grant proposals. Invoke when user mentions specific aims, R01, R21, K-series, significance, innovation, approach section, grant writing, proposal review, research strategy, or needs help with fundable hypothesis, reviewer-friendly structure, or compliance with grant guidelines.

Generate test coverage reports showing which code paths are tested. Use to identify untested code and improve test coverage.