LLM & Agents
6763 skills in Data & AI > LLM & Agents
code-reviewer
Used to create a new agent. Used when a user wants to create a new agent
beads
Use when working on projects that use 'beads' (bd) for issue tracking. Covers bd commands, workflow, priorities, and best practices for AI agents.
seo-llm-optimizer-tests
Test specifications for SEO & LLM Optimizer WordPress plugin. Use when testing the SEO & LLM Optimizer plugin, verifying Copy for AI functionality, or checking markdown/RAG export features.
kyverno-resource-governance-templates
Kyverno resource governance policies enforcing CPU/memory limits, HPA requirements, and storage constraints for Kubernetes workloads.
plugin-test-framework
Virtual test environment for Claude Code hooks, plugins, and agents. Use when testing or validating plugin components without affecting production.
incentive-prompting
Research-backed prompting techniques for improved AI response quality
generate-limboai-tree
Programmatically generates LimboAI Behavior Tree resources (.tres) by converting a high-level C++ AI analysis (from the cpp-code-analyst skill) into a fully structured LimboAI tree. This skill handles all node mappings, hierarchical structure generation, and Blackboard configuration, deterministically offloading a complex, 10,000-token-plus generation task from the LLM agent.
opportunityiq-mvp-scanner
Scans client data against revenue opportunity scenarios to identify and rank the top sales opportunities. Matches clients to scenarios like FIA replacements approaching surrender, cash drag opportunities, and concentrated portfolio positions. Calculates revenue potential and generates prioritized opportunity reports for financial advisors.
implement-dynamic-tape-diagram
Create interactive tape diagram builders using p5.js where students construct algebraic equations by dragging and resizing parts.
context-passport
Solve context fragmentation across Claude sessions. Use when users mention re-explaining themselves, losing conversation context, starting over, "you forgot," context loss, session continuity, picking up where we left off, or wanting Claude to remember across chats. Also use when users want to create/update their passport, generate session summaries, or maintain project continuity.
doc-gen-agent
Generates comprehensive documentation with high output volume
spec-driven-development
Guide for implementing Specification-Driven Development in any project using GitHub's spec-kit. Use when users want to start spec-driven development, need to initialize spec-kit in a project, or want guidance on the spec-kit workflow (constitution, specify, clarify, plan, tasks, implement). Covers installation, initialization, and step-by-step prompts for each phase.
python-testing
Write and run Python tests using pytest with fixtures, mocking, coverage, and the AAA pattern. Use when writing Python tests, creating test files, or setting up pytest configuration.
secret-management-overview
Understanding GitHub Actions secret types, storage hierarchy, and threat model. Secure patterns for managing credentials, tokens, and sensitive configuration.
agent-builder
Create complete Claude Code agents for the Traycer enforcement framework. This skill should be used when creating new agents or updating existing agents. Creates all agent components including system prompt, hooks, skills, commands, scripts, and reference docs. Also updates coordination documents that list available agents. Based on Anthropic's official agent development best practices.
meta-prompt-generator
슬래시 커맨드용 프롬프트 생성. 프롬프트/커맨드 생성 요청 시 사용.
docs-updater
Expert assistant for keeping documentation synchronized with code changes in the KR92 Bible Voice project. Use when updating API docs, maintaining architecture diagrams, syncing README, updating CLAUDE.MD, or generating documentation from code.
csharp-unit-testing
Expert-level C# unit testing skill based on ISTQB standards and best practices. Use this skill when creating, reviewing, or refactoring unit tests for C# applications (.NET/ASP.NET Core). Applies test design techniques, coverage strategies, and quality assurance principles from ISTQB Foundation and Advanced levels.
agent-improvement
Self-improvement loop for multi-agent workflows. Diagnose failures, improve tool descriptions, and learn from success/failure patterns.
llm-doc-writer
Write token-efficient documentation for LLM context. Use when creating CLAUDE.md, README, technical docs, agent instructions, or any documentation consumed by AI assistants.