peil
Prompt Engineering Instructional Language (PEIL) - generates optimised system prompts for AI agents and LLMs. Use when creating agent system prompts, improving prompt quality, applying research-backed prompting techniques, or structuring prompts with role, context, instructions, and desired output. Keywords: prompt engineering, system prompt, agent prompt, LLM optimization, prompt generation.
skill-authoring
Create or update repo skills under .claude/skills. Use when adding new skills, editing SKILL.md, or deciding what should be a skill vs a spec/doc.
wavecap-whisper
Tune WaveCap Whisper model settings. Use when the user wants to change model size, adjust decoding parameters, configure prompts, or optimize transcription accuracy vs speed.
nanobanana-prompt-writer
Nano Banana（Gemini のネイティブ画像生成）向けに、用途（ロゴ/EC物撮り/サムネ/ステッカー/文字入り/ミニマル/差分編集/参照画像固定など）をヒアリングし、 "タグ盛り"ではなく撮影・制作ブリーフ形式で一貫性の高い高品質プロンプトを作るSkill。 ユーザーが「nanobananaで画像生成のプロンプトを作って」「Gemini画像生成の高品質プロンプト」「編集で詰めたい」「参照画像で同一性を保ちたい」等を求めたときに発動する。
learning-from-history
Analyzes history/ directories to extract patterns, writes learned rules to .claude/rules/learned/ (auto-loaded), updates CLAUDE.local.md with personal preferences.
reachy-mini
Complete SDK for controlling Reachy Mini robot - head movement, antennas, camera, audio, motion recording/playback. Covers architecture (daemon/client), deployment modes (USB, wireless, simulation, on-Pi), and app distribution. Also includes advanced application patterns: MovementManager, layered motion, audio-reactive movement, face tracking, LLM tool systems, and OpenAI realtime integration. Use when: (1) Writing code to control Reachy Mini, (2) Moving the robot head or antennas, (3) Accessing camera/video, (4) Playing/recording audio, (5) Recording or playing back motions, (6) Looking at points in image or world space, (7) Understanding robot capabilities, (8) Connecting to real or simulated robot, (9) Building conversational AI apps, (10) Integrating with LLMs/OpenAI, (11) Deploying apps to robot, (12) Any robotics task with Reachy Mini.
cost-optimized-llm
Implement cost-optimized LLM routing with NO OpenAI. Use tiered model selection (DeepSeek, Haiku, Sonnet) to achieve 70-90% cost savings. Triggers on "LLM costs", "model selection", "cost optimization", "which model", "DeepSeek", "Claude pricing", "reduce AI costs".
crawl-to-markdown
Use when web.run fails to parse a webpage and you need raw Markdown via Crawl4AI.
generate-meta-prompt
Generate effective prompts based on task descriptions. Use when you need to create structured prompts for AI models.
recovering-sessions
Recover from crashed, failed, or interrupted Claude Code sessions. Use this skill when: session crashed during multi-agent parallel execution, need to determine what work was completed vs incomplete, want to generate resumption commands for interrupted tasks, recovering from context window exhaustion, or handling session handoffs. Analyzes agent logs, verifies on-disk state, and creates resumption plans with ready-to-execute Task() commands.
google-adk
Guide for building AI agents with Google ADK (Agent Development Kit). Use when creating multi-agent pipelines, implementing conditional agent branching, designing agent tools with FunctionTool, or debugging agent data flow issues. Covers SequentialAgent, LoopAgent, ParallelAgent patterns, session.state management, output_key chaining, and transfer_to_agent for control flow. Essential for understanding non-obvious ADK behaviors like why SequentialAgent runs ALL agents even after rejection.
beam-debug-issue-tasks
Debug failed/issue tasks from Beam.ai using Langfuse traces. Load when user says "debug issue tasks", "check failed tasks", "why did task fail", "task errors", "debug agent", or needs to investigate task failures.
qdrant-retrieval-tool
Generate JSON schemas and Python handlers for Qdrant-based retrieval tools used by the RAG agent to search sitemap-crawled textbook content with URL citations.
agentdb-memory-patterns
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
gemini-image-edit
Edit existing images with text prompts using fal.ai Gemini 3 Pro. Use when the user wants to modify, edit, transform, or change an existing image based on a text description. Supports multiple input images for context.
moai-foundation-core
MoAI-ADK's foundational principles - TRUST 5, SPEC-First TDD, delegation patterns, token optimization, progressive disclosure, modular architecture, agent catalog, command reference, and execution rules for building AI-powered development workflows
agent-creator
Interview-based system for creating specialized Claude Code agents. Use when users want to create a Claude Code agent, need help defining agent roles and responsibilities, mention "create an agent" or "build an agent", or want to generate a CLAUDE.md file for agentic coding workflows. Guides through interactive interview to gather requirements and generates complete agent configurations following Claude Code best practices.
