lindy-expert
Lindy is an AI agent creation and management platform focused on business process automation. It enables organizations to build sophisticated AI-powered assistants that can handle communication across...
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Lindy is an AI agent creation and management platform focused on business process automation. It enables organizations to build sophisticated AI-powered assistants that can handle communication across...
AI-Ready requirements specification generator that transforms vague ideas into professional specification documents deliverable to AI development tools (BMAD Story Format and GitHub Spec-Kit Format) through intelligent guided conversations. Use this when users need to create requirement specifications, product requirements documents (PRD), user stories, or AI-ready development documentation.
Expert guidance for XState state machines, actor model patterns, React integration, and statecharts. Use when implementing state machines, managing complex application state, using the actor model for concurrent state management, integrating XState with React components, or debugging machines.
Filter and classify AI research content for relevance. Use when processing raw content from Twitter, Substacks, blogs, or podcasts to determine if it's worth extracting claims from. Assigns relevance scores, topics, and author categories.
Use when "LLM inference", "serving LLM", "vLLM", "llama.cpp", "GGUF", "text generation", "model serving", "inference optimization", "KV cache", "continuous batching", "speculative decoding", "local LLM", "CPU inference"
Manages learning extraction and sign application workflows. This skill should be used when extracting learnings from session transcripts, reviewing proposed signs, or applying approved learnings to CLAUDE.md files. Triggers on "extract learnings", "review signs", "apply signs", "manage signs", "learning backlog".
Patterns for building AI chatbot frontends using OpenAI ChatKit with Next.js App Router, including custom backend integration via ChatKit Python SDK.
Meta-skill for writing effective Agent Skills following the agentskills.io specification. Use when creating new skills, improving existing skills, or understanding how to structure procedural knowledge for AI agents.
Token-efficient tracking for AI orchestration. CLI-first for status updates (~50 tokens), agent fallback for complex ops (~1KB). Use when: updating task status, querying blockers, creating progress files, validating phases.
Add Olakai monitoring to an existing AI agent. Use when you have working AI code that needs observability and analytics added.
Extract structured claims, predictions, hints, and opinions from AI research content. Use when processing tweets, blog posts, substacks, or other content from AI researchers to identify substantive assertions about AI capabilities, limitations, and progress.
Use when interacting with Google Chat - send messages, list messages, or get message details. Requires agentio CLI with a configured Google Chat profile (webhook or OAuth).
Master the art of creating effective AI agent personas for Jules. Learn how to design role-specific prompts that guide Jules to execute tasks with precision, following best practices, and maintaining project standards. Use when creating new Jules personas or improving existing ones.
Save AI research to dated markdown files. Use when researching topics, gathering information, or exploring questions that should be preserved for future reference.
Context management patterns for multi-source AI agents in Clojure+Vertex AI. Covers 4 context types (static/query/API/previous-result), lifecycle management (load/cache/invalidate), TTL strategies, and LGPD-compliant sensitive data handling. Includes production metrics (58% cost reduction via caching). Use when designing agent contexts, implementing multi-source data integration, optimizing cache strategies, or building LGPD-compliant systems.
Create and structure Claude Code skills with proper SKILL.md format, frontmatter, and progressive disclosure. WHEN: MUST use when creating new skills. Invoke with "/claude-skill-creator" or "create a skill", "new Claude skill", "write skill content". WHEN NOT: Creating agents (use claude-agent-creator), creating commands (use claude-command-development).
Analyze Claude Code CLI source code to understand its architecture, implementation details, and design patterns. Use when users want to explore how Claude Code works internally, understand specific features like tools/hooks/MCP/permissions, or learn from its codebase design. Triggers on questions about Claude Code internals, source code analysis requests, or "how does Claude Code implement X" queries.