621 skills · sorted by relevance
画面コンセプト集の新規作成・更新・レビューを支援する。AI駆動開発成果物フローのビジネス要求(D1)に位置する成果物で、プロダクト全体の画面体験コンセプト(体験方向性・体験原則・トーン&マナー方針)と、それを体現する代表シーン2-3を、ビジネスサイドが議論・合意できるサイズに整理する文書。業界を問わず利用可能(業務アプリ・ゲーム・コンシューマー向けサービス・SaaS 等)。プロダクト要求仕様書(PRD)・アクター一覧・ユーザーストーリー一覧を上流とし、下流のワイヤーフレーム・画面遷移図・画面要件群(D2)の判断基準となる画面体験の方向性を定める。全画面の網羅は D2 画面要件群に降ろし、本書はコンセプトと代表シーンに集約する。PRD・ユーザーストーリー一覧の策定後、D2 画面要件群の作成前、もしくはデザイン会社への発注前に呼び出す。
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ドメイン定義書の新規作成・更新・レビューを支援する。AI駆動開発成果物フローのビジネス要求(D1)に位置する成果物で、本プロダクトを構成する業務領域(ドメイン)を網羅・分類する文書。問題空間(プロダクトが扱う業務領域)の整理であり、DDDにおけるBounded Context(解空間としての実装上の境界)とは別レイヤーで扱う。BRDの下流に位置する成果物。後続のプロダクト要求仕様書、ドメイン要求仕様書群(各ドメインごとに1つ)など、様々な成果物から参照される。BRD策定後、ドメイン整理の段階で呼び出す。
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Use when wrangler deploys silently fail or produce wrong artifacts, secrets upload as empty strings, custom domain DNS is not resolving, route assignment broke after rename, observability/tail logs are needed, D1/KV/R2 bindings are missing, OAuth scope errors block a command, cookies on a redirect are not attaching, or the worker exceeds CPU time. Triggers: "Tenant or user not found", "Authentication error" on wrangler d1 push, secret length is 0 after upload, route returns origin not worker, "compatibility_date too old", 1101 errors, custom_domain assignment lost on script rename. NOT for AWS Lambda / Vercel Edge / Deno Deploy (different runtimes), Cloudflare Zero Trust, or R2-specific tuning.
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Self-hosted auth for TypeScript/Cloudflare Workers with social auth, 2FA, passkeys, organizations, RBAC, and 15+ plugins. Requires Drizzle ORM or Kysely for D1 (no direct adapter). Self-hosted alternative to Clerk/Auth.js. Use when: self-hosting auth on D1, building OAuth provider, multi-tenant SaaS, or troubleshooting D1 adapter errors, session caching, rate limits, Expo crashes, additionalFields bugs.
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Read values from a Google Sheets spreadsheet by specifying its ID and a cell range or sheet name. Retrieve the data you need for review without making changes to the spreadsheet.
Create and edit 3D parts and assemblies with adjustable dimensions using cadgen. Export STEP, STL, 3MF, or GLB files, inspect geometry, and open existing models in CAD Viewer for visual review.
Add and maintain Nexent Python unit tests with pytest. Isolate external dependencies, cover successful behavior, boundaries, and errors, and add regression assertions that detect fixed bugs. Review existing coverage and record test results separately from formal acceptance cases.
Develop and fix Nexent features by connecting written specifications, acceptance criteria, implementation, and verification evidence. Plan unit tests and appropriate staged checks, maintain their links to requirements, and fill confirmed test gaps after development.
Handles BED-format genomic intervals (BED3 through BED12, narrowPeak/broadPeak) and the coordinate-system substrate the whole interval category rests on, with bedtools (CLI) and pybedtools/pyranges/pandas (Python). Covers the 0-based half-open vs 1-based-closed convention boundary and the start-1/end-unchanged conversion, the silent failures (chrom-name mismatch, CRLF, lexicographic-vs-version sort under -sorted), genome/chrom.sizes generation, sorting contracts, BED12 block invariants, validation, makewindows, cross-assembly liftover (liftOver/CrossMap), and BED<->VCF/BAM/FASTA conversion. Use when reading, creating, validating, sorting, lifting between genome builds, or converting interval files, preparing inputs for bedtools/tabix/bigBed, or debugging an off-by-one or empty-overlap result.
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Identifies super-enhancers from H3K27ac, MED1, or BRD4 ChIP-seq using ROSE, ROSE2, LILY, HOMER -style super, and ENCODE dELS cross-referencing. Handles peak stitching parameters, ranking choices, hockey-stick inflection, marker choice (H3K27ac vs MED1/BRD4), and cross-condition comparison with spike-in normalization. Constructs core regulatory circuitry (Saint-Andre 2016) from SE-encoded TFs. Use when identifying cell-identity / cancer-associated regulatory domains, comparing super-enhancers between conditions, identifying master transcription factor networks, or predicting BET-inhibitor responsiveness.
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Hit the Cloudflare REST API directly for operations that wrangler and MCP can't handle well. Bulk DNS, custom hostnames, email routing, cache purge, WAF rules, redirect rules, zone settings, Worker routes, D1 cross-database queries, R2 bulk operations, KV bulk read/write, Vectorize queries, Queues, and fleet-wide resource audits. Produces curl commands or scripts. Triggers: 'cloudflare api', 'bulk dns', 'custom hostname', 'email routing', 'cache purge', 'waf rule', 'd1 query', 'r2 bucket', 'kv bulk', 'vectorize query', 'audit resources', 'fleet operation'.
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Skill for integrating Better Auth - comprehensive TypeScript authentication framework for Cloudflare D1, Next.js, Nuxt, and 15+ frameworks. Use when adding auth, encountering D1 adapter errors, or implementing OAuth/2FA/RBAC features.
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Expert knowledge for Drizzle ORM - the lightweight, type-safe SQL ORM for edge and serverlessUse when "drizzle, drizzle orm, drizzle-kit, drizzle schema, drizzle migration, drizzle relations, sql orm typescript, edge database, d1 database, orm, database, typescript, sql, edge, serverless, d1, postgres, mysql, sqlite" mentioned.
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Cloudflare Workers edge computing — Durable Objects, KV, R2, D1, Workers AI, AI Gateway
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Cloudflare platform management via Wrangler CLI, Agents SDK (v0.13+), and Browser Rendering API. Deploy Pages, Workers, KV, R2, D1, Queues, Vectorize, Workflows, Hyperdrive. Build stateful AI agents with the full SDK stack — Agent, AIChatAgent, Think, Voice, sub-agents, fibers, HITL, scheduling, observability, Code Mode (Dynamic Worker sandboxes). Budget web scraping via cf_browser.py. Use when deploying to Cloudflare, managing CF infrastructure, configuring wrangler.toml/wrangler.jsonc, building AI agents or chat agents on Workers, adding voice, orchestrating sub-agents, or for cheap web scraping. Triggers: Cloudflare, wrangler, Pages, KV, R2, D1, Workers, Vectorize, Queues, Workflows, Hyperdrive, cf_browser, Browser Rendering, Agents SDK, Code Mode, codemode, MCP, Think, AIChatAgent, Voice agent, sub-agents, fibers, HITL, Dynamic Workers.
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MANDATORY deploy after every code change. Typecheck → deploy → purge CDN → E2E on production → visual verify → fix-forward loop. Workers Builds native CI/CD, D1 Time Travel PIT recovery, D1→R2 long-term backups, wrangler rollback, wrangler secrets management, structured observability, cross-browser smoke tests, rollback procedures, and GitHub auto-configuration.
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Use when adding, reviewing, squashing, deploying, or rolling back Pharos D1 migrations or schema cleanup.
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Firmware development for the Arduino Nano (A000005, ATmega328P @ 16 MHz, 5 V) — its 30 KB usable flash, 2 KB SRAM, 1 KB EEPROM, 8-channel 10-bit ADC, six 8-bit PWM pins across three timers, UART shared with the USB-serial chip, I2C on A4/A5, SPI on D10–D13, sleep modes, and the Arduino AVR core + PlatformIO setup around them. Use when working on this board or any ATmega328P Nano clone (FTDI or CH340 USB): project setup, platformio.ini, old-vs-new bootloader uploads, pin mapping, A6/A7 restrictions, timer/Servo/tone conflicts, the 2 KB SRAM budget, analog references, powering from VIN, ICSP recovery, or debugging why something on the board does not work.
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PXE/netboot 経由で Debian + HW RAID10 を自動インストール (OpenWrt ローカル TFTP + embed ipxe.efi + IPv4 リテラル mirror)。BMC USB redirector が累積劣化した機種 (TX1320 M3 等) や、 cross-site 拠点の install に使う。phase 19 で training-tx1320 で完遂、 物理操作なしで自力 SSH まで到達。
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Identifies super-enhancers from H3K27ac, MED1, or BRD4 ChIP-seq using ROSE, ROSE2, LILY, HOMER -style super, and ENCODE dELS cross-referencing. Handles peak stitching parameters, ranking choices, hockey-stick inflection, marker choice (H3K27ac vs MED1/BRD4), and cross-condition comparison with spike-in normalization. Constructs core regulatory circuitry (Saint-Andre 2016) from SE-encoded TFs. Use when identifying cell-identity / cancer-associated regulatory domains, comparing super-enhancers between conditions, identifying master transcription factor networks, or predicting BET-inhibitor responsiveness.
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Cloudflare Workers CLIでWorkers、KV、R2、D1、Vectorize、Hyperdrive、Workers AI、Containers、Queues、Workflows、Pipelines、Secrets Storeを開発・デプロイ・管理する。Wranglerコマンドを実行する前に使用し、最新の公式ドキュメントに基づく構文と安全規則を確認する。
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Cloudflare WorkersのCI(自動検査)とCD(自動デプロイ)を、Workers Buildsまたは外部CI/CDから案件に合う1経路だけ選び、無料枠に収まる最小構成で構築・運用するためのスキル。 「CIを入れて」「CDを組んで」「自動デプロイしたい」「GitHub Actions」「ワークフロー」「テストを自動で回したい」 「マージしたら勝手に公開されるようにして」「デプロイを自動化して」「CIが落ちた」「Actionsが失敗する」 「デプロイの手作業をなくしたい」「Cloudflareの設定が分からない」「非エンジニア向け手順を作って」などの文脈で必ず使用する。 デプロイ先が Cloudflare Workers の場合は Skill cloudflare-secure-deploy を併用する(D1マイグレーションの扱いが最重要)。ブランチ・PR・タグの規約は Skill solo-git-flow に従う。手動デプロイを繰り返している状況を見つけたら、依頼されていなくても このスキルの §0 を読んで導入可否を判断すること。
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Cloudflare全体の製品選択と対象Accountの文脈を確定するルータースキル。Workers、Pages、KV、D1、R2、Workers AI、Vectorize、Agents SDK、Flagship、Tunnel、WAF、Terraform等のどの製品・参照・専用Skillを使うか判断する。Cloudflare要件が複数製品にまたがる、製品名が未確定、Accountの選択が必要な場合に使う。Wrangler操作、Durable Objects、Turnstile、Email Service、Workersコード、本番デプロイは責務表の専用Skillへ委譲し、本Skillで実行手順を重複定義しない。数値・API・設定は記憶よりCloudflare公式ドキュメントの取得を優先する。
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Webアプリのアクセス制御・認証・認可の実装はすべてこのスキルを使う。遮断だけならCloudflare Access、アプリ内identity・role・session・WebSocket等が必要ならBetter Authとする単一決定表の正本。「認証を付けて」「ログイン機能」「Googleでログインできるように」「社員だけに限定」「特定企業だけに公開」「許可リスト/招待制」「メール+パスワード認証」「セッション管理」「ロール・権限管理」「OAuth設定」「redirect_uri_mismatchを直す」「認証のセキュリティレビュー」などの文脈で、ユーザーが「認証」と明示しなくてもログイン要件が含まれるなら必ず読む。特にNext.js App Router＋OpenNext＋D1、Hono、素のWorkersでのBetter Auth＋Google OAuth導入を自動化し、Google Cloud Consoleで人間にしかできない操作は日本語のクリック手順と直リンクへ切り分ける。
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