NomaDamas

Look up Daiso products by store name and product keyword using official Daiso Mall store/search/stock surfaces. Use when the user wants to know whether a product is available at a specific Daiso store.

다나와 공개 검색/가격비교 표면으로 상품 후보를 찾고, 쇼핑몰별 최저가·배송비 포함 실구매가·카드 할인가·무이자 할부 정보를 보수적으로 비교한다.

Use when the user asks for nearby Korean emergency rooms, 응급실, ER, or emergency bed/병상 status near a location. Ask for the user's current location first unless a location was already provided.

After installing the full k-skill bundle, configure and verify the shared cross-platform setup, then optionally wire update checks and GitHub starring with explicit user consent.

Use kakaocli on macOS to read KakaoTalk chats, search messages, send replies after explicit confirmation, and delete sent messages with explicit operator intent.

CGV, 메가박스, 롯데시네마 영화관 검색, 상영작, 시간표, 잔여석 조회가 필요할 때 사용한다.

공공데이터포털 창업진흥원 K-Startup Open API(15125364)로 통합 공고 사업 정보·지원사업 공고·창업 콘텐츠·통계보고서를 k-skill-proxy 경유로 조회한다. 검색 전용.

중앙선거관리위원회 선거통계시스템 공개 통합검색으로 한국 지방선거 후보자 정보를 이름/선거종류/지역 기준으로 조회한다.

Guide developers through creating a custom generation pipeline plugin for AutoRAG-Research. Walks through scaffolding, implementing BaseGenerationPipeline methods, composing with retrieval pipelines, writing YAML configs, testing, and installing. Use when building a new RAG generation strategy (e.g., chain-of-thought RAG, multi-hop RAG).

Guide developers through creating a custom data ingestor plugin for AutoRAG-Research. Ingestors load external datasets (HuggingFace, local files, APIs) into the database. Uses @register_ingestor decorator for automatic CLI parameter extraction. Use when ingesting a new dataset format into AutoRAG-Research.

Guide developers through creating a custom retrieval pipeline plugin for AutoRAG-Research. Walks through scaffolding, implementing BaseRetrievalPipeline methods, writing YAML configs, testing, and installing. Use when building a new search/retrieval strategy (e.g., Elasticsearch, ColBERT, custom vector search).

Guide developers through creating a custom evaluation metric plugin for AutoRAG-Research. Covers both retrieval metrics (recall, precision, etc.) and generation metrics (BLEU, ROUGE, etc.). Walks through scaffolding, implementing metric functions with @metric decorators, writing configs, testing, and installing. Use when building a new evaluation metric.

Query AutoRAG-Research pipeline results using natural language. Converts questions to SQL, executes safely (SELECT-only), returns formatted results. Auto-detects DB connection from configs/db.yaml or env vars. Use for pipeline comparison, metrics analysis, token usage.

Process [APPROVE] and [IGNORE] replies on /refactor review threads. Applies approved fixes to the codebase, resolves all responded threads on GitHub, commits and pushes changes. Sequential single-agent workflow. All output is in English.

Orchestrate a 3-agent PR code review debate using Claude Code Teams. Spawns Devil's Advocate, Neutral Judge, and Approval Advocate reviewers who analyze the current PR diff in parallel. Synthesizes findings, auto-fixes unanimous issues, and posts inline PR comments for disagreements. All output is in English.

Stage 2 design skill for Codex. Generate and iterate slide-XX.html files in the selected slides workspace.

Stage 1 planning skill for Codex. Build and iterate slide-outline.md until explicit user approval.

End-to-end presentation workflow for Codex. Use when making a full presentation from scratch — planning, designing slides, editing, and exporting. PDF and per-slide PNG are preferred; PPTX/Figma export is experimental / unstable.

Generate square Instagram-style card news by reusing the slides-grab workflow with card-news mode enabled. Defaults to per-slide PNG export.

Stage 3 conversion skill for Codex. Convert approved HTML slides to PDF or per-slide PNG reliably, and to experimental / unstable PPTX/Figma outputs on a best-effort basis.

Use this skill when working on BetterThanYou battle flows, shared scoring, the CLI HUD, Homebrew packaging, or the optional web helper. Keep the CLI as the primary product surface and keep scoring logic in packages/core.

Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.

Use BananaTape CLI to create, launch, inspect, and clean up local AI image editing projects from an agent.

Use this skill whenever the user asks to generate, create, render, draw, or make an image, picture, illustration, icon, logo, or any other visual asset. Also use it when the user wants to edit, modify, restyle, or combine existing images (provide them as inputs). The skill drives the `gti` CLI, which uses the user's local Codex ChatGPT authentication to call the private image-generation backend. Trigger phrases include "generate an image", "create a picture", "make an image of", "draw me a", "render this", "make this cat wear a hat", and similar. Prefer this skill over describing images in text.

Use this skill when building or tuning the terminal-only romance simulation, persona files, live chat UX, or ECC trace instrumentation in this repository.

Start or reuse the Cat-In-Lattice tmux sidecar in a bottom pane. Use when the user explicitly asks for $cat-in-lattice, wants the cat companion opened below the current pane, or wants to send a notice through the installed local launcher.