Boost efficiency with task automation and organizers.
Deploy a temporary LimaCharlie Adapter on the local Linux or Mac OS host for testing log ingestion. Downloads the adapter, auto-detects log sources, and streams them to your LimaCharlie organization.
Proven workflow architectural patterns from real n8n workflows. Use when building new workflows, designing workflow structure, choosing workflow patterns, planning workflow architecture, or asking about webhook processing, HTTP API integration, database operations, AI agent workflows, or scheduled tasks.
AI-powered enterprise performance optimization orchestrator with Context7 integration, Scalene AI profiling, intelligent bottleneck detection, automated optimization strategies, and predictive performance tuning across 25+ programming languages
Enterprise Supabase PostgreSQL Platform with AI-powered open-source BaaS architecture, Context7 integration, and intelligent PostgreSQL orchestration for scalable modern applications
Automates updating chromadb when ChromaDB OpenAPI spec changes. Fetches latest spec, compares against current, generates changelogs and prioritized implementation plans. Use for: (1) Checking for API updates, (2) Generating implementation plans for spec changes, (3) Creating new models/endpoints from spec, (4) Syncing local spec with upstream. Triggers: "update api", "sync openapi", "new endpoints", "api changes", "check for updates", "update spec", "api version", "fetch spec", "compare spec", "what changed in the api", "implementation plan".
Intelligent learning system optimizer that analyzes session patterns, identifies improvement opportunities, and continuously enhances Alfred's performance through adaptive learning and knowledge optimization. Use when optimizing Alfred's behavior, analyzing session patterns, improving system performance, or when implementing adaptive learning capabilities.
Creates professional presentation slides in GitHub markdown format for educational content. Use when the user asks to create slides, build a presentation, or needs visual teaching materials. Generates clean, engaging slides with strategic emoji and clear formatting.
Digital archiving workflows with AI enrichment, entity extraction, and knowledge graph construction. Use when building content archives, implementing AI-powered categorization, extracting entities and relationships, or integrating multiple data sources. Covers patterns from the Jay Rosen Digital Archive project.
Demo skill showing all Claude Code 2.1 features. Use when asked to "demo 2.1" or "show new skill features".
Transform conversations and ideas into structured technical specifications. Outputs: User stories, acceptance criteria, technical requirements, edge cases. Use when user wants to document requirements before coding. Triggers: write spec, create user stories, document requirements, /spec
Tools for creating and managing Claude Code Skills. Use when users need to create new skills, validate skill structure, or package skills for distribution. Triggers include creating custom workflows, encapsulating domain knowledge, building document generation templates, or integrating specific tools and APIs.
Fetches additional perspectives from OpenAI Codex and Google Gemini for architecture, review, and debugging. Transparently displays all LLM calls.
Creates structured output formats (JSON, YAML, Markdown-KV, XML) and response style configurations for Claude. Use when: (1) defining agent output schemas (.json, .yaml, .xml), (2) configuring response style scope hierarchy, (3) embedding formats in agents/commands, (4) building CLAUDE.md output sections, (5) creating format definitions in .claude/styles/, or (6) standardizing structured data serialization.
Comprehensive toolset for creating, converting, validating, and packaging Skilzy-compliant AI agent skills. This skill should be used when users want to initialize a new skill, convert a Claude skill archive to the Skilzy format, validate an existing skill's structure and compliance, or package a skill for distribution to the Skilzy registry.
Manage multi-session AI agent workflows using klondike CLI. Use when working on klondike-managed projects (those with .klondike/ directory), when starting/ending coding sessions, tracking features through lifecycle, or maintaining coherence across context window resets. Triggers on session management, feature tracking, progress handoffs, and verification workflows.
Rails service object patterns and business logic organization. Automatically invoked when working with service objects, extracting business logic, implementing command/query patterns, or organizing app/services. Triggers on "service object", "service", "business logic", "workflow", "orchestration", "command pattern", "query object", "form object", "interactor", "result object".
Local Microsoft Agent Framework documentation reference. Use when asked about Microsoft Agent Framework, building AI agents in .NET or Python, MCP servers/clients, durable agents, agent tools, Teams/WebChat adapters, or agent-to-agent communication.
Developer inquiry skill for technical investigation, validation, and decision-making. Use when exploring unfamiliar technology, validating approaches with spikes, comparing options, or making architecture decisions. Covers the full thinking process from "I don't know" to confident decision.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing one) that extends the agent's abilities with specialized knowledge, workflows, or tool integrations.
Generate A2UI 0.8 protocol compliant UI code. Use when building agent-driven interfaces, generating JSONL messages for surfaceUpdate/dataModelUpdate/beginRendering, creating forms, lists, cards, or any UI components that render across web/mobile/desktop platforms.
Bootstrap AI Developer Workflows (ADWs) infrastructure in any codebase. Use when user wants to: "set up ADWs", "bootstrap agentic workflows", "add AI developer workflows", "enable programmatic agent execution", "initialize ADW infrastructure", or "set up programmatic Claude Code". This enables programmatic agent orchestration via subprocess/SDK, reusable workflow templates, multi-phase workflows, and structured observability for agent executions.
Help users discover Contextune capabilities and understand how to use natural language commands. Use when users ask about Contextune features, available commands, how to use the plugin, or what they can do. Activate for questions like "what can Contextune do?", "how do I use this?", "show me examples", "what commands are available?"
use this skill when a user asks to set up RPI or a "research plan implement" workflow, or to do anything related to RPI skills. if the user says the acronym "RPI" or "rpi" or "humanlayer", you MUST use this skill! Example questions - "I want to set up rpi for ticket eng-1234" - "Whats the next rpi step for eng-5678"
