Agents
AI agents and automation
doppel-architect
by Demerzels-lab
Build high-quality collaborative worlds in Doppel. Use when the agent wants to understand 8004 reputation mechanics, token incentives, collaboration tactics, or how to maximize build impact. Covers streaks, theme adherence, and the rep-to-token pipeline.
Reins
by WellDunDun
Reins CLI skill for scaffold/audit/doctor/evolve workflows. Use when setting up or evaluating harness-engineering repo readiness and maturity with Reins commands.
prompting-pattern-library
by Exploration-labs
Comprehensive library of proven prompting patterns, frameworks, and examples for different use cases. This skill should be used when creating prompting guides, analyzing prompt effectiveness, teaching prompting techniques, or troubleshooting prompting issues. Use when writing about prompting, explaining prompting concepts to others, or improving existing prompts.
Convex Agents Debugging
by Sstobo
"Troubleshoots agent behavior, logs LLM interactions, and inspects database state. Use this when responses are unexpected, to understand context the LLM receives, or to diagnose data issues."
Convex Agents Messages
by Sstobo
"Sends, saves, retrieves, and manages messages within agent conversations. Use this when handling user messages, displaying conversation history, and working with UIMessages for rich rendering."
Convex Agents Workflows
by Sstobo
"Orchestrates multi-step agent operations with durable execution, automatic retries, and recovery from failures. Use this for complex workflows that need to survive server restarts or coordinate multiple agents."
Convex Agents Human Agents
by Sstobo
"Integrates human agents into automated workflows for human-in-the-loop interactions. Use this when humans need to respond alongside AI agents, handle escalations, or provide context that AI cannot determine."
Convex Agents Playground
by Sstobo
"Sets up a web UI for testing, debugging, and developing agents without code. Use this to manually test agents, browse conversation history, and verify behavior in real-time."
ai-elements-workflow
by Sstobo
This skill provides guidance for building workflow visualizations using Vercel AI Elements and React Flow. It should be used when implementing interactive node-based interfaces, workflow diagrams, or process flow visualizations in Next.js applications. Covers Canvas, Node, Edge, Connection, Controls, Panel, and Toolbar components.
Convex Agents Threads
by Sstobo
"Manages conversation threads to group messages into linear histories. Use this when organizing multi-turn conversations, managing per-user history, and handling thread metadata."
Convex Agents Usage Tracking
by Sstobo
"Tracks LLM token consumption and usage metrics for billing, monitoring, and optimization. Use this to log token usage, calculate costs, generate invoices, and understand which agents or users consume the most resources."
Convex Agents Context
by Sstobo
"Customizes what information the LLM receives for each generation. Use this to control message history, implement RAG context injection, search across threads, and provide custom context."
Convex Agents Rate Limiting
by Sstobo
"Controls message frequency and token usage to prevent abuse and manage API budgets. Use this to implement per-user limits, global caps, burst capacity, and token quota management."
Convex Agents Fundamentals
by Sstobo
"Sets up and configures Convex agents for chat-based AI interactions. Use this when initializing agent instances, creating conversation threads, and generating basic text or structured responses from LLMs. Essential foundation for any Convex agent implementation."
Convex Agents Streaming
by Sstobo
"Streams agent responses in real-time to clients without blocking. Use this for responsive UIs, long-running generations, and asynchronous streaming to multiple clients."
Convex Agents Tools
by Sstobo
"Enables agents to call external functions, APIs, and database operations through tool definitions. Use this when agents need to fetch data, perform actions, or integrate with external services while maintaining clean separation."
Convex Agents Files
by Sstobo
"Handles file uploads, image attachments, and media processing in agent conversations. Use this when agents analyze images, process documents, or generate files."
docs-seeker
by zircote
"Searching internet for technical documentation using llms.txt standard, GitHub repositories via Repomix, and parallel exploration. Use when user needs: (1) Latest documentation for libraries/frameworks, (2) Documentation in llms.txt format, (3) GitHub repository analysis, (4) Documentation without direct llms.txt support, (5) Multiple documentation sources in parallel"
n8n-prd-generator
by AlexPEClub
Generate structured PRD documents for n8n automation workflows. Use when planning n8n workflows, creating automation requirements, starting a new n8n project, or preparing workflow specifications before building.
skill-editor
by dangeles
Use when creating, modifying, or refactoring Claude Code skills that require structured multi-agent review and quality validation
perspective-swarm
by dangeles
Protocol specification for multi-perspective brainstorming via 5 parallel agents with confidence-weighted synthesis. Executed by brainstorming-pm orchestrator.
autonomous-agent-readiness
by petekp
Assess a codebase's readiness for autonomous agent development and provide tailored recommendations. Use when asked to evaluate how well a project supports unattended agent execution, assess development practices for agent autonomy, audit infrastructure for agent reliability, or improve a codebase for autonomous agent workflows. Triggers on requests like "assess this project for agent readiness", "how autonomous-ready is this codebase", "evaluate agent infrastructure", or "improve development practices for agents".
proactive-agent
by wangyendt
"让 AI 助手从「等待任务」变成「主动预见」的架构设计。包含 WAL 协议、Working Buffer、自动定时任务等经过实战验证的模式。"
dead-code-sweep
by petekp
This skill should be used when cleaning up codebases that have accumulated dead code, redundant implementations, and orphaned artifacts — especially codebases maintained by coding agents. Triggers on "find dead code", "clean up unused code", "remove redundant code", "prune this codebase", "dead code sweep", "code cleanup", or when a codebase has gone through multiple agent-driven refactors and likely contains overlooked remnants. Systematically identifies cruft, categorizes findings, and removes confirmed dead code with user approval.