'coding' 검색 결과

Delegate coding tasks to Aider (`aider`) only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.

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Delegate coding tasks to the Google Antigravity CLI (`agy`) only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.

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Preserve the coding agent's explicit AAS skill selection as a validated stack and optional evidence.

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Use when a coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acceptance verification with minimal human re-intervention.

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Get reliable JSON, enums, and typed objects from LLMs using response_format, tool_use, and schema-constrained decoding across OpenAI, Anthropic, and Google APIs.

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Elite frontend image-direction skill for generating premium, conversion-aware website design references. CRITICAL OUTPUT RULE — generate ONE separate horizontal image FOR EVERY section. A landing page with 8 sections produces 8 images. Never compress multiple sections into one image. Enforces composition variety (not always left-text / right-image), background-image freedom, varied CTAs, varied hero scales (giant / mid / mini minimalist), narrative concept spine, second-read moments, and a single consistent palette across all images. Optimized for landing pages, marketing sites, and product comps that developers or coding models can accurately recreate.

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Autonomous coding agent. Delegate any task that involves understanding, writing, or running code — from a GitHub issue, a bug report, or a user request. It explores, implements, and verifies on its own.

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Guide for creating effective skills for AI coding agents working with Azure SDKs and Microsoft Foundry services. Use when creating new skills or updating existing skills.

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Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes - Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".

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Installs skills from aigb-skills into a coding agent's skill directory. Use when setting up aigb-skills for Claude Code, Cursor, Copilot, or Pi.

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Structured planning workflow for any coding task. Use at the start of every new feature, bug fix, refactor, or implementation request. Analyzes the project, asks up to 5 clarifying questions, creates a TODO.md, gets user approval, then executes task by task. Never writes code before a plan is approved.

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Control a running TouchDesigner instance via twozero MCP — create operators, set parameters, wire connections, execute Python, build real-time visuals. 36 native tools.

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Distill an already-built or near-launch product into one incisive brand kernel — the "reveal" already hiding in its name, story, or the product itself — then build the name, voice, visual identity, and a developer-ready handoff kit around it. This is LATE-STAGE branding: use it when there is a real, thought-through product that is about to launch, or already live but not explained in a way people grasp in an instant. Use whenever the user wants to name or rename a product, find a tagline or slogan, create a brand identity / brand kit / style guide / design system, design a logo, wordmark, palette, or type system, mock up a homepage for a launch, or hand brand assets to a coding agent (Claude Code, Codex, Cursor). Trigger even when the user only says their product needs to "land" or "feel like" something, or that they can't explain it simply yet. Do NOT use for half-baked, pre-product ideas with nothing to excavate — this skill extracts a kernel that already exists; it does not invent one from a blank canvas.

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Use when an agent must decide whether to proceed autonomously, ask for clarification, request approval, or select an appropriate verification scope for a coding or documentation task

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在授权渗透测试中系统性挖掘 HTTP 请求走私（HTTP Request Smuggling / desync）。当目标前面有反向代理/CDN/负载均衡（前端）转发给后端应用，且怀疑前后端对 Content-Length 与 Transfer-Encoding、畸形头、chunked trailer 的解析不一致时使用——典型场景：想毒化后端 socket 劫持他人请求、批量窃取会话 Cookie/令牌、缓存投毒、绕过前端访问控制。适用目标类型 Web / REST API（有分层代理）。触发场景包括用户说"测下有没有 HTTP 走私/desync""这个 CDN 后端解析一致吗""能不能毒 socket 偷别人 cookie""CL.TE / TE.CL 打一下"。输出：带 desync 时序证据与原始报文的 finding 报告（含 killed 记录）。

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사용자가 HWP나 HWPX 양식 파일을 주면서 "이 양식으로 앱을 만들어 달라", "양식을 전산화하자", "이 서식에 입력하고 출력하고 통계 내는 웹앱"이라고 할 때 사용한다. 양식의 칸을 그대로 데이터베이스로 옮기지 않고, 칸을 분류해 이용자 명부와 연결하고, 판정을 거쳐 앱과 HWP 출력을 만드는 절차다. 사회복지 기관의 일지, 명단, 대장, 보고서 서식에 쓴다. Use when a Korean social-welfare practitioner hands over an HWP/HWPX form and wants an app built from it. For app ideas without a form file, use welfare-app-assess instead.

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Use when a user asks Claude Code to recommend, install, update, or inspect specialized coding subagents for Claude Code, Codex, OpenCode, or multiple targets in the current repository.

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Use when a user asks Codex to recommend, install, update, or inspect specialized coding subagents for Claude Code, Codex, OpenCode, or multiple targets in the current repository.

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Spawn Comment Sicko, or a swarm of them over the whole repo, fix accepted findings, and offer encodings for claimed constraints.

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Data viz design: production-level visual encodings, chart contrast, RTL axes. Use when implementing, reviewing or testing data viz design for React, Vite, Next.js or Perfect_AI projects.

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Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".

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Experimental workflow for finding interrupted coding runs and reporting resume candidates. Use after an agent host restart or an interrupted automation; resuming anything needs the user's literal GO.

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Use when the user wants to capture a real repo's working patterns as a reusable skill — analyzes the local git log and diffs the agent runs itself and drafts a new SKILL.md describing the team's coding patterns, into a scratch/output path the user names. Never overwrites an existing skill.

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Use when a user asks for a plan for a coding task, to generate a clear, actionable, and atomic checklist.

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