This skill enforces Sentry's blog writing standards across every post — whether you're helping an engineer write their first blog post or a marketer draft a product announcement.
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。
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概要と使いどころ
This skill enforces Sentry's blog writing standards across every post — whether you're helping an engineer write their first blog post or a marketer draft a product announcement.
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。
Hand-drawn paper-wireframe template — white paper background, monochromatic ink palette, SVG turbulence "wobble" filters for pen-quiver authenticity, handwritten fonts (Caveat / Kalam / Ma Shan Zheng / Long Cang), wavy dividers, sketch-rect overlays, marginalia annotations. For PRD illustrations, IA flow docs, low-fidelity layout exploration, "draft / not final" stakeholder communication. Three skeletons (single-page editorial / app multi-screen flow / IA sitemap) — pick one up front based on the artifact, do NOT inherit only the brush strokes.
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 multiple Reforge-guided section-refactor lanes in parallel, each in its own worktree/branch off origin/main, with a score-blind adversarial review panel gating every commit, one draft PR per section. Use when the user wants to reduce Reforge surface/internal score across several sections at once via architecturally-correct deletions (dead surface, entity-leak removal, cross-section read-splits) — not by relocation, parameter bags, or accessibility-dodging. Wraps the per-lane process in .codex/skills/humans-refactor. Triggers: 'refactor swarm', 'parallel section refactors', 'run reforge refactor on Users/Tickets/...', 'burn down surface score across sections'. Has an intensity dial (light|standard|deep) and a workflow|solo execution mode to trade token burn against autonomy per unit of output.
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。
Turn the current conversation context into a PRD draft. Use when user wants to create a PRD from the current context; publish it to an issue tracker only after explicit approval.
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。
UI 預覽評審 SKILL — 截取 Cocos Editor Preview 畫面,與 proof draft 提供的參考圖逐 zone 比對,輸出視覺信心分數與 PASS/FAIL 評審報告,並回寫 runtime-verdict。USE FOR: ui-asset-qc 通過後,需要人工確認 + 自動評審的最終視覺驗收。DO NOT USE FOR: Runtime 崩潰(用 cocos-log-reader)、Browser QA 截圖(用 cocos-preview-qa)、資產規格問題(用 ui-asset-qc)。
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。
UI 自動化生產總控 SKILL — 從 UI 示意圖、參考圖、Figma snapshot 或既有頁面經驗啟動,串接 proof draft、family-map、MCQ、normalized recipe、task shard、ui-spec 與 CompositePanel / ChildPanel scaffold、靜態驗證、Browser QA 自動調整,直到交付人類驗收。USE FOR: 想把一張新 UI 從「給圖」一路推進到可驗證的 screen package 與 QA 閉環。DO NOT USE FOR: 單純修一個 runtime bug、單一 prefab 微調、純美術資產委託。
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。
參考圖解析 SKILL — 從截圖、Figma 連結或參考 PNG 中,分解出 proof draft(visualZones + componentIntents + spacingRecipe + contentSlots + unresolved notes)。USE FOR: 拿到新畫面設計稿或截圖時,作為 UI production pipeline 第 1 步。DO NOT USE FOR: 直接生成 normalized recipe 或 screen package(需先完成此步再進 family / MCQ 收斂)。
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。
DALL-E 3 image generation workflow for this repo MCP server. Use for dalle3, DALL-E 3, OpenAI image generation, concept art, UCUF reference exploration, UI icon, badge, card art, prompt drafting, and saving generated images to local files under artifacts/ui-source or other workspace paths.
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。
UI 資產品質驗證 SKILL — 執行 validate-visual-assets.js、validate-ui-specs.js 與必要的 snapshot regression,對 skin family 資產、screen package、proof draft / family-map 進行全面驗證,並回寫 generated-review。USE FOR: 任何 UI 資產生成後、在 ui-preview-judge 前必須先通過的 QA 關卡。DO NOT USE FOR: debug runtime 崩潰(用 cocos-log-reader)、Layout 佈局調整(用 ui-vibe-pipeline)。
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。
UI Family 架構師 SKILL — 讀取 proof draft,為每個 visualZone 分配 structural family、themeStack 與 recipe seed,驗證 family 可用性,輸出 family-map 與 recipe 預填欄位。USE FOR: 在 ui-reference-decompose 完成後,進行 family 分派、family-map 產出與 recipe 選擇(UI pipeline Step 2)。DO NOT USE FOR: 直接產生 layout skeleton 或 asset 任務(需先完成此步)。
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 evidence reports and draft governed upgrade proposals.
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。
Triage customer support tickets/emails/chats into categories, priority, and next action; draft responses and create reproducible steps; use for Zendesk/Intercom/Help Scout exports or pasted threads.
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。
Prepare meeting materials with Notion context and Codex research; use when gathering context, drafting agendas/pre-reads, and tailoring materials to attendees.
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。
Use this skill when the user requests to generate, create, write, or draft a newsletter, email digest, weekly roundup, industry briefing, or curated content summary. Supports topic-based research, content curation from multiple sources, and professional formatting for email or web distribution. Trigger on requests like "create a newsletter about X", "write a weekly digest", "generate a tech roundup", or "curate news about Y".
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。
This skill enforces Sentry's blog writing standards across every post — whether you're helping an engineer write their first blog post or a marketer draft a product announcement.
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。
Decides whether and how to polish a draft genome assembly to raise consensus accuracy (QV) with read-type-matched tools - Racon and medaka (ONT consensus), dorado polish, Polypolish and pypolca (Illumina, repeat-aware), Pilon (legacy short-read), NextPolish/NextPolish2, Hapo-G (haplotype-aware), ntEdit, and DeepPolisher/PEPPER-Margin-DeepVariant for human. Covers the do-not-polish-HiFi rule, the medaka basecaller-model footgun, held-out Merqury QV as the only honest stop signal, and the haplotype-collapse trap. Use when correcting homopolymer indels or residual SNPs in a long-read assembly, deciding if a HiFi assembly needs polishing, or choosing an ONT vs hybrid vs short-read polishing chain.
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。
Designs Bayesian clinical trials including Phase I dose-finding (BOIN, CRM, EWOC, mTPI-2), meta-analytic-predictive (MAP) priors with robust mixtures for external data borrowing, EXNEX for basket trials, hierarchical models for safety AE (Berry-Berry), Bayesian platform trials (I-SPY 2, GBM AGILE, REMAP-CAP), and posterior probability stopping rules. Covers FDA Bayesian Devices Guidance (2010), FDA Bayesian Methodology in Drugs Draft (January 2026), BOIN Fit-for-Purpose qualification (December 2021), and Project Optimus dose-optimisation. Use when designing dose-finding studies, platform trials, or sensitivity analyses with informative priors.
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。
Designs adaptive clinical trials including group-sequential (O'Brien-Fleming, Pocock, Lan-DeMets spending), sample-size re-estimation (blinded Friede-Kieser, unblinded Cui-Hung-Wang, Mehta-Pocock promising zone), seamless Phase 2/3 with treatment-arm selection, population enrichment, and response-adaptive randomisation. Covers FDA 2019 Final Adaptive Designs Guidance, FDA 2022 Master Protocols, and ICH E20 Step 2b/3 draft (June 2025, NOT final). Use when planning interim analyses, sample-size re-estimation, or master/platform-trial designs.
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。
A set of resources for writing internal communications in company-preferred formats. Use when asked to draft status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, or project updates.
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。
Comprehensive toolkit for writing high-quality computer science research papers (conference, journal, thesis). Provides narrative construction guidance, sentence-level clarity principles (Gopen & Swan), academic phrasebank, CS-specific conventions, and section-by-section quality checklists. Use when assisting with academic paper writing, revision, or structure planning across all stages from drafting to submission.
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。
Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.
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。
This skill enforces Sentry's blog writing standards across every post — whether you're helping an engineer write their first blog post or a marketer draft a product announcement.
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。
Use this skill when the user requests to generate, create, write, or draft a newsletter, email digest, weekly roundup, industry briefing, or curated content summary. Supports topic-based research, content curation from multiple sources, and professional formatting for email or web distribution. Trigger on requests like "create a newsletter about X", "write a weekly digest", "generate a tech roundup", or "curate news about Y".
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。
End-to-end pipeline for writing ML/AI research papers — from experiment design through analysis, drafting, revision, and submission. Covers NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Integrates automated experiment monitoring, statistical analysis, iterative writing, and citation 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。