开发技能

AI-First SDLC compliance rules and standards. Use when checking code quality, validating architecture, enforcing zero technical debt, or making any compliance decision.

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Scaffold a new Android app with SDLC and Play-safe defaults — Kotlin/Compose Gradle project with version catalog, convention plugins, module layout, a targetSdk that meets the Play mandate, R8 on release, and git-ignored signing so it passes the pre-flight checker from day one. Use when starting a new Android project.

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Commission a project to the Programme SDLC bundle. Tailored entry point with Programme-specific audience guidance; equivalent to /sdlc-core:commission --option programme.

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Commission a project to an SDLC option bundle (solo / single-team / programme / assured). Asks structured questions, recommends an option × level, installs the bundle, and records the decision in .sdlc/team-config.json.

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Parallel map-reduce bulk ingest for large source sets. Map phase dispatches read-only knowledge-extractor agents (≤N-wide, default Haiku) emitting per-source JSON extracts; Python routes extracts by target library file (fuzzy-merging new topics, pre-allocating new files, flagging oversized topics); reduce phase dispatches one agent-knowledge-updater per file (parallel, one writer per file); single shelf-index rebuild + one log.md entry. Resumable. Supersedes kb-ingest-batch.

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Generate boilerplate `# implements:` annotation for a function based on the artefact ID, inserting it as the first line of the function body.

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Configure SDLC team formation and SDLC method for this project. Asks the four-option SDLC method question (solo / single-team / programme / assured), then recommends and installs team plugins based on project type, language, tech stack, and support needs.

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Structured code review through the shared OpenClaw agent-skills installation.

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Initialize an Obsidian vault with the agent-ready Zettelkasten system — creates directory structure, templates, CLAUDE.md, MCP config, and hooks

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Apply React and Next.js performance optimization guidelines from Vercel Engineering — 40+ rules covering components, data fetching, bundle optimization, and rendering. Triggers on React components, Next.js pages, bundle optimization, performance improvements, refactoring React code.

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Build comprehensive ARCHITECTURE.md files following matklad's canonical guidelines — bird's-eye views, ASCII/Mermaid diagrams, codemaps, invariants, and layer boundaries. Triggers on document the architecture, create ARCHITECTURE.md, map this codebase, architectural overview.

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Build AI agents using the Claude Agent SDK. Covers query functions, ClaudeSDKClient, custom tools, MCP servers, hooks, permissions, subagents, and browser control (Chrome extension, dev-browser skill). Use when creating agents, adding tools, configuring agent behavior, or automating browser tasks.

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Query OpenRouter API costs, credits, and usage breakdown by model, provider, and date for the last 30 days. Triggers on API spending, check costs, openrouter usage, how much have I spent.

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SSEストリーミング処理のナレッジ。基本パターン/タイムアウト/リトライ/モック/PDF生成等

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Svelte best practices for writing, editing, or reviewing Svelte/SvelteKit components and modules. Use when touching Svelte reactivity, props, events, snippets, each blocks, styling, context, actions/attachments, stores, or Svelte 5 runes.

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This skill should be used when analyzing recent market-moving news events and their impact on equity markets and commodities. Use this skill when the user requests analysis of major financial news from the past 10 days, wants to understand market reactions to monetary policy decisions (FOMC, ECB, BOJ), needs assessment of geopolitical events' impact on commodities, or requires comprehensive review of earnings announcements from mega-cap stocks. The skill automatically collects news using WebSearch/WebFetch tools and produces impact-ranked analysis reports. All analysis thinking and output are conducted in English.

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Use when a local coding agent (Codex, Claude Code, Cursor, or similar) needs to operate Multica through the authenticated `multica` CLI: reading or updating issues, comments, metadata, labels, custom properties, subscribers, projects, agents, squads, runtimes, repos, skills, autopilots, attachments, or workspace state; searching issues; inspecting or cancelling agent runs; replying to a Multica issue from an external agent; creating or triaging issues; checking linked pull requests; or safely handling Multica mention/status side effects without relying on the Multica hosted agent runtime.

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Run a structured bug-focused code review for selected files, folders, or the whole workspace.

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跨平台系统自动化操作工具，支持 Windows、Linux、macOS。提供 CLI 命令行和 MCP 服务器两种使用方式，支持鼠标键盘控制、屏幕截图、窗口管理、系统信息查询等功能。

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按 TRACE 框架（Trust / Reliability / Adaptability / Convention / Effectiveness，5 维 15 子项）评测 Skill 包质量。当用户说『用 TRACE 评测』『评一下这个 skill』『skill 质量打分』『五维度评测』『帮我评估这个技能包』『TRACE evaluation』等需要给 Skill 打分出报告时使用本技能。

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渡口——终端AI agent与渡口Chrome插件的稿件互通。能力：(1)把md文章（含图片）渡到 X Articles / B站专栏 / 公众号排版器(editor.huasheng.ai)，自动打开编辑页并填充图文；(2)让插件抓取微信公众号文章（带登录态、防盗链图片可下载），落盘为本地md+图片；(3)导出插件文章库任意一篇为md+图片。 当用户提到「渡到X」「发到X Articles」「发B站专栏」「渡到公众号排版器/editor.huasheng.ai」「填入X/B站/排版器」「公众号文章转md」「抓微信文章」「渡口」时使用。 即使用户只说「把这篇发到X」「这篇也发B站」「灌进排版器」「抓一下这篇公众号」「这篇文章存下来」也应触发。 需要配合渡口Chrome插件（https://github.com/alchaincyf/dukou），未安装时按「引导安装」提示用户。

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Use when writing or debugging Linux drivers: platform, I2C/SPI, device-tree, char-device, IRQ, DMA, regmap, PM, sysfs, udev, NACK, -EREMOTEIO, or probe failures.

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Use when tracing kernel functions with ftrace or trace-cmd, profiling with perf, kprobes, or dyndbg, or analyzing a vmcore with crash. Not for QEMU GDB stubs: use qemu-for-kernel-development.

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Use when using kmalloc, vmalloc, or the page allocator, sizing kmalloc allocations, working with SLUB or the buddy allocator, or debugging memory zones and kernel OOM.

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