cursor-ralph-loop-help
Explain the Ralph Loop plugin, how it works, and available skills. Use when the user asks for help with ralph loop, wants to understand the technique, or needs…
Skills
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-05 00:16
Agents & models
25,663 results
cursor-workflow-from-chats
Extract durable working preferences from recent Cursor chats and convert them into skills, rules, or workflow docs. Use when asked to learn preferences, mine…
writing-fragments
Collaborative writing: collect raw fragments without committing to structure.
agent-teams-advanced
Advanced patterns for Claude Code Agent Teams — topology design, cross-team communication, worktree coordination, failure handling, and cost management
cc-auto-mode
Auto mode permission handling — classifier-based approvals, PermissionDenied hook, defer permissionDecision, and autonomy profiles for hands-off Claude Code…
cc-prompt-budget-preflight
Pre-flight check to run before any Agent-tool spawn. Prevents the "Prompt is too long" rejection class by enforcing a 5-section minimum-viable-prompt template…
prompt-engineering
Crafting effective prompts, CLAUDE.md instructions, rules, agent system prompts, and skill bodies for optimal Claude Code behavior
skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's…
workflow-creator
Create and manage workflows that guide the Agent through repetitive tasks. Use this skill when users want to create new workflows, update existing workflows,…
arkit-camera-access-providers
Build and debug ARKit camera access providers for visionOS 27: CameraFrameProvider and CameraRegionProvider. Use when accessing camera frame streams,…
arkit-rendering-context-providers
Build and debug ARKit rendering-context providers for visionOS 27: EnvironmentLightEstimationProvider, StereoPropertiesProvider, and VisualFidelityProvider.…
arkit-spatial-tracking-providers
Build and debug ARKit spatial tracking providers for visionOS 27: WorldTrackingProvider, PlaneDetectionProvider, SceneReconstructionProvider,…
avalanche
Design, build, run, and refactor agentic workflows with Avalanche. Use when a user describes an outcome that should become a typed multi-step workflow, or when…
agent-mobile-architect
Specialist subagent: Cross-platform mobile architecture expert for React Native, Flutter, and native development decisions
agent-python-expert
Specialist subagent: Python best practices, type hints, async patterns, and ecosystem expertise. Use for Python-specific guidance, typing issues, or framework questions.
skill-find
Find a public Agent Skill on GitHub, install it, and load it.
ppt-mcp-academic
Use the PowerPoint MCP (ppt_* / mcp__ppt__ppt_*) to create, organize, or revise presentations for research reports, technical walkthroughs, teaching, and…
uipath-rpa-legacy
Legacy UiPath RPA (.NET Framework 4.6.1, XAML) via `uip rpa-legacy`. Activates when project.json targetFramework='Legacy' or missing, or user mentions legacy.…
agents-llamaindex
LlamaIndex framework for data-centric LLM apps and RAG. Use for document ingestion, indexing, querying, and building retrieval-driven chatbots or knowledge…
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when…
agentic-platform-schema
Agentic Platform Contract tables for AI agent applications - runs, events, artifacts, and tool calls tracking. Use when building AI agent backends that need…
checkpoint-patterns
LangGraph checkpointing patterns for state persistence with memory, SQLite, and Postgres backends. Use when implementing state recovery or human-in-the-loop…
graph-patterns
LangGraph workflow patterns including basic graphs, conditional routing, parallel execution, and subgraphs. Use when designing graph structure or workflow flow.
foundations-formal-methods
Proves protocols and agent workflows with TLA+, P, Alloy, Z3, Dafny, or Lean. Use when proving protocols correct, writing TLA+ specs, or verifying LLM proofs.