Boost efficiency with task automation and organizers.
Creates Architecture Decision Records documenting key technical decisions with context, alternatives considered, tradeoffs, consequences, and decision owners. Use when documenting "architecture decisions", "technical choices", "design decisions", or "ADRs".
Designs GraphQL schemas with types, queries, mutations, subscriptions, resolvers, and DataLoader patterns for efficient data fetching. Use when users request "GraphQL API", "schema design", "GraphQL setup", "resolvers", or "Apollo Server".
Multi-tool orchestration patterns for complex Bluera Knowledge operations. Teaches progressive library exploration, adding libraries with job monitoring, handling large result sets, multi-store searches, and error recovery workflows.
Essential knowledge about Logseq DB (database) graphs. Use this skill when working with Logseq DB to ensure accurate understanding of nodes, properties, tags, tasks, and queries. This corrects common misconceptions from file-based Logseq that do NOT apply to DB graphs.
Builds phased data and system migrations using feature flags, dual writes, backfills, and validation. Includes rollback plans and risk mitigation. Use for "data migration", "system migration", "database migration", or "platform migration".
Create custom slash commands for popular AI agents (Claude Code, Codex, Gemini CLI). Use when user asks to create slash commands, custom commands, or reusable prompts for AI agent CLIs.
Orchestrates multi-agent AI systems with task delegation, agent communication, shared memory, and workflow coordination. Use when users request "multi-agent system", "agent orchestration", "AI agents", "agent coordination", or "autonomous agents".
Use the Ralph Wiggum CLI for autonomous AI coding loops. Use when running ralph commands, setting up autonomous coding workflows, or managing AI agent loops for planning and building features.
Build timeout-resistant Claude Code workflows with chunking strategies, checkpoint patterns, progress tracking, and resume mechanisms to handle 2-minute tool timeouts and ensure reliable completion of long-running operations.
Install AI code agent CLI tools including claude-code, gemini-cli, codex, and github copilot-cli. Use when setting up AI coding assistants or when the user asks to install an AI code agent.
This skill should be used when the user asks to "create a skill", "add a skill to plugin", "write a new skill", "improve skill description", "organize skill content", "SKILL.md format", "skill frontmatter", "skill triggers", "trigger phrases for skills", "progressive disclosure", "skill references folder", "skill examples folder", "validate skill", or needs guidance on skill structure, file organization, writing style, or skill development best practices for Claude Code plugins.
Expert in creating Claude Code subagents, skills, slash commands, plugins, and plugin marketplaces. Automatically activates when working with .md files in .claude/ directories, agent/command/skill frontmatter, marketplace.json, or when discussing Claude Code extensibility and component creation.
Main agent orchestration skill. Use when: - User says "/orchestrator" or starts a new workflow - Need to coordinate with Worker/Subagent - Managing multi-phase tasks (plan -> code -> PR)
Delegates code review, debugging, and alternative implementation comparisons to Google Gemini CLI (`gemini`) via a JSON bridge script (default model: `gemini-3-pro-preview`). Supports headless one-shot and multi-turn sessions via `SESSION_ID`, with conservative defaults for Gemini effective-context constraints (file-scoped, `--no-full-access` by default) while allowing user override.
Discover and implement EachLabs AI providers. Use when: checking for new EachLabs models, implementing EachLabs providers, updating providers.md status, or working with EachLabs API integrations.
Generates Request for Comments documents for technical proposals including problem statement, solution design, alternatives, risks, and rollout plans. Use for "RFC", "technical proposals", "design docs", or "architecture proposals".
Restores full context when user says "hi-ai" or starts a new conversation. Searches project files, loads memory indexes, reads session state, and creates visual dashboard showing current project, recent decisions, active blockers, and quick actions. Use when user says "hi-ai", "continue", "restore context", or starts a fresh conversation.
Designs robust function/tool calling schemas for LLMs with JSON schemas, validation strategies, typed interfaces, and example calls. Use when implementing "function calling", "tool use", "LLM tools", or "agent actions".
Extracts structured data from LLM responses using JSON schemas, Zod validation, and function calling for reliable parsing. Use when users request "structured output", "JSON extraction", "parse LLM response", "function calling", or "typed responses".
Comprehensive Twilio Voice API assistance with AI integration patterns
LangSmith Agent Builder - No-code platform for creating AI agents with built-in tools (Gmail, Slack, GitHub, Linear), OAuth integrations, MCP server support, Slack deployment, and programmatic invocation via LangGraph SDK
