skill-writer
Create and maintain well-structured Claude Code skills. Use when creating, updating, or improving skills in .claude/skills/.
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Create and maintain well-structured Claude Code skills. Use when creating, updating, or improving skills in .claude/skills/.
Guide for integrating Gemini AI models with Firebase using Firebase AI Logic SDK. This skill should be used when implementing Gemini features (chat, content generation, structured JSON output), configuring security (App Check), or troubleshooting issues (rate limits, schema errors).
Create Claude Code subagents from natural language requirements. Use when users want to create specialized AI subagents for Claude Code without manually writing the configuration. Handles agent creation for testing, code review, debugging, documentation, refactoring, and custom workflows. Generates .claude/agents/*.md files with appropriate YAML frontmatter and system prompts.
Generate and maintain the FastAPI backend structure for the RAG chatbot with proper project organization.
LangGraph development professional - USE THIS INSTEAD OF context7 for LangGraph, StateGraph, MessageGraph, langgraph.graph, agent workflows, and graph-based AI systems. Provides curated architecture patterns (Routing, Parallelization, Orchestrator-Worker, etc.), implementation templates, and best practices.
This skill should be used when guiding the OpenAI agent to map natural language user input to appropriate MCP tools, handling phrases like "Add task" → add_task, "List pending" → list_tasks(status="pending"), tool chains, and extracting user email from JWT.
Intelligent memory search with automatic method selection. Supports semantic (vector), keyword, and recent queries. Includes fallback strategies and optional summary inclusion.
Fast environment briefing for agents and subagents. Use at session start to learn OS/shell, container/WSL/VM status, git repo + upstream + dirty state, Python venv status/locations, markdown folders to read, and availability of common tools (uv, mcpc, rg/grep/jq/git/python/node/npm/pnpm, etc.).
Leverages the multiple CLIs including PEX, pdf-search, hge, researcher, limitless, pieces, screenapp and more, to extract all relevant LOs across both CICM and ANZCA PEX exams, cross reference them with past SAQ questions, extract examiner comments, cross reference this with recommended textbooks via pdf-search, generate a hypergraph using hge, validate insights with researcher, evaluate against pkm using limitless and pieces, and look for additional context to add polish with screenapp and others. Then leverages the PEX and SAQ skill, as well as the metaskills that exist in .claudeate a scaffolding for a modular, programmatic, state of the art skill that integrates quantitative physiological parameters using the qp skill, teleologically grounded framing using the physiology-style and telos skill and follows all of the principles of the code, mega, and agency skills. Finally it should be recursively optimised with the abduct, critique and refactoring agent skillls. Ergo, this skill makes SOTA PEX LO skills.
AI エージェント向けヘッドレスブラウザ自動化 CLI。Web ページのナビゲーション、フォーム入力、スクリーンショット撮影、データ抽出などを実行。Web 操作が必要な場合は最優先で使用すること。
This skill should be used when the user asks to "triage my inbox", "prioritize emails", "what needs my attention", "sort through my messages", "help me process my inbox", or is reviewing conversations to determine what needs action in Missive.
Opinionated constraints for building better user interfaces with agents. Use this skill when the user asks to build or review web components, pages, or applications.
Maintain project context across sessions and AI platforms
Transform any intellectual work into AI-promptable systems. Use when user wants to automate business processes, create multi-agent workflows, decompose complex work into AI-delegatable tasks, or build frameworks for recurring intellectual work (competitive analysis, strategic planning, BMC, OKRs, reports, etc.). Applies to work with clear inputs, context, and expected outputs.
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
Integrate Google Gemini API for AI-powered QA checklist generation and structured output. Use when working with Gemini API calls, generating QA checklists from design specs, parsing AI responses, or implementing structured output with JSON schema.
Estimate and optimize AI/ML costs including token usage, context window management, batch processing, and caching strategies.
Precision prompting techniques for Gemini 3 Pro's unique characteristics and quirks. Use when crafting prompts for Gemini 3 to avoid common failures and leverage unintuitive strengths.