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Updated to cover both pre-code PRD/ERD/Docs generation AND post-code continuous documentation updates / Diperbarui untuk mencakup pembuatan PRD/ERD/Docs pra-kode DAN pembaruan dokumentasi kontinu pasca-kode.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for microservices, message queues, Event Sourcing, and high-scale backend architectures / Panduan ahli untuk arsitektur microservices, antrean pesan, dan backend skala tinggi.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guidelines to refactor legacy PHP codebases into clean, modern, and scalable MVC-structured projects / Pedoman ahli untuk merefaktor codebase PHP lama menjadi proyek terstruktur MVC yang bersih, modern, dan skalabel.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for designing and managing scalable monorepos using Turborepo, pnpm workspaces, and shared packages / Panduan ahli untuk merancang dan mengelola monorepo skalabel menggunakan Turborepo dan pnpm workspaces.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for designing Micro-Frontend architectures using Webpack Module Federation, Vite Federation, and Single-SPA for large scale Vue and React applications.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for designing, building, and maintaining scalable UI design systems with design tokens, headless primitives, Material Design 3 (M3), Tailwind v4 @theme, and WCAG 2.2 accessibility.
日本語の概要は準備中です。原文の説明を表示しています。
S6 of see-it-ship-it: put it at a public URL. Secret scan first; static builds go to GitHub Pages at no cost (sign-up guide, device-code login, one question: it will be public); a server only when a backend is needed, cost asked once; then open the URL, rerun the acceptance on the live page, bind a domain if they want one.
日本語の概要は準備中です。原文の説明を表示しています。
Auto-apply security basics and block deploys that would leak secrets. Never ask the user about security choices — just do it, and run a real secret scan before going live.
日本語の概要は準備中です。原文の説明を表示しています。
Run before writing or changing code for any feature, bug fix or refactor that touches data, jobs, money, outside services or user-facing behaviour. Finds where the change will break before it is built, by walking ten named failure classes (twice, halfway, outside call, failure-is-not-empty, neighbors, endings, money, hostile user, words, scale and time) against the code, and writes the answers into the plan. Use when planning a change, when asked to "think it through", "cover the gaps", "make sure it's bug free", or before any edit to payment, publishing, deletion, auth or background-job code.
日本語の概要は準備中です。原文の説明を表示しています。
Used to invoke the PXMeter tool for rigorous quality assessment of biomolecular structure prediction models (e.g., proteins, nucleic acids, small molecules). This skill covers single-sample CIF evaluations and large-scale dataset benchmarks, providing rich result parsing support. Trigger this skill when the user asks to "run PXMeter", "compare PDB/CIF evaluation results of different tools", "check benchmark scores", or asks "how accurate is the structure generated by the model".
日本語の概要は準備中です。原文の説明を表示しています。
What to do the moment a secret is exposed — pasted into chat, committed, logged, shown in a transcript or a screenshot. The secret is compromised; only revoking and rotating it helps. Turns it into one tracked task with an escalation, not a reminder repeated every session. Use when you see a key, token, password or private key anywhere it should not be ("ключ в чате", "токен в логах", "закоммитил .env"). Loaded by security-officer, l3-support, devops.
日本語の概要は準備中です。原文の説明を表示しています。
Scans public GitHub repos for skills, practices, and code patterns. Use when studying how open-source teams configure monorepo CI and PR review, or enriching skills.
日本語の概要は準備中です。原文の説明を表示しています。
Diagnoses stalled teams or agent hierarchies with Beer's VSM and Ashby's Law. Use when orchestrators overload, escalations pile up, or team boundaries need redesign.
日本語の概要は準備中です。原文の説明を表示しています。
PID/MPC/Kalman/anti-windup control primitives for feedback loops. Use when an autoscaler flaps, a controller overshoots after saturation, or budget pacing overspends at peak.
日本語の概要は準備中です。原文の説明を表示しています。
Chooses among AI/ML approaches: classical ML, LLM, RAG, fine-tuning, agents, embeddings, MoE or SSM. Use when picking or scaling an architecture, or self-host vs API.
日本語の概要は準備中です。原文の説明を表示しています。
Guides multi-GPU pre-training: DDP, FSDP2, ZeRO, tensor/pipeline/expert parallelism, fp8/Muon. Use when scaling a run, training MoE, or reproducing GPT-2 on rented GPUs.
日本語の概要は準備中です。原文の説明を表示しています。
Builds production AI bots with Python for support, sales, and custom domains. Use when designing conversation flows, personas, escalation, or LangGraph state.
日本語の概要は準備中です。原文の説明を表示しています。
Closes a completed development branch by checking the final diff and proof, presenting merge, pull-request, keep, or discard options, and cleaning up only after the user or repository workflow chooses a path. Use when feature work is complete and the branch must be integrated or retired. Not for claiming a feature is complete before verification.
日本語の概要は準備中です。原文の説明を表示しています。
Fast sprint status check. Reads the current sprint plan, scans story files for status, and produces a concise progress snapshot with burndown assessment and emerging risks. Run at any time during a sprint for quick situational awareness. Use when user asks 'how is the sprint going', 'sprint update', 'show sprint progress'.
日本語の概要は準備中です。原文の説明を表示しています。
Track, categorize, and prioritize technical debt across the codebase. Scans for debt indicators, maintains a debt register, and recommends repayment scheduling.
日本語の概要は準備中です。原文の説明を表示しています。
Scaffold the test framework and CI/CD pipeline for the project's engine. Creates the tests/ directory structure, engine-specific test runner configuration, and GitHub Actions workflow. Run once during Technical Setup phase before the first sprint begins.
日本語の概要は準備中です。原文の説明を表示しています。
Full localization pipeline: scan for hardcoded strings, extract and manage string tables, validate translations, generate translator briefings, run cultural/sensitivity review, manage VO localization, test RTL/platform requirements, enforce string freeze, and report coverage.
日本語の概要は準備中です。原文の説明を表示しています。
When a GDD is revised, scans all ADRs and the traceability index to identify which architectural decisions are now potentially stale. Produces a change impact report and guides the user through resolution.
日本語の概要は準備中です。原文の説明を表示しています。
Scan all GDDs against the entity registry to detect cross-document inconsistencies: same entity with different stats, same item with different values, same formula with different variables. Grep-first approach — reads registry then targets only conflicting GDD sections rather than full document reads.
日本語の概要は準備中です。原文の説明を表示しています。