Microsoft Pragmatic Rust Guidelines for implementing, reviewing, and documenting idiomatic Rust. Use when working on Rust APIs, error handling, unsafe code, concurrency, async code, performance, testing, documentation, or agent-facing design.
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。
heyAyushh/stacc☆ 32026年9月21日 更新
iOS and Swift/SwiftUI development guidance, including App Clips, haptics, UI patterns, Liquid Glass styling, performance audits, view refactors, Swift concurrency, and iOS debugging. Use when building or reviewing iOS apps, SwiftUI views, or troubleshooting iOS issues.
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。
heyAyushh/stacc☆ 32026年9月21日 更新
Refactor code to improve quality while maintaining functionality. Use when you need to improve code structure, eliminate duplication, optimize performance, or enhance maintainability without changing behavior.
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。
heyAyushh/stacc☆ 32026年9月21日 更新
Semantic Design System Skill for Google Stitch. Generates agent-friendly DESIGN.md files that enforce premium, anti-generic UI standards — strict typography, calibrated color, asymmetric layouts, perpetual micro-motion, and hardware-accelerated performance.
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。
heyAyushh/stacc☆ 32026年9月21日 更新
Implement, review, or improve SwiftUI features using the iOS 26+ Liquid Glass API. Use when asked to adopt Liquid Glass in new SwiftUI UI, refactor an existing feature to Liquid Glass, or review Liquid Glass usage for correctness, performance, and design alignment.
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。
heyAyushh/stacc☆ 32026年9月21日 更新
Provides Rust coding best practices for structure, patterns, performance, and error handling. Use when writing or reviewing Rust code, or when the user asks for Rust style guidance.
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。
heyAyushh/stacc☆ 32026年9月21日 更新
Forces the laziest solution that actually works, simplest, shortest, most minimal. Channels a senior dev who has seen everything: question whether the task needs to exist at all (YAGNI), reach for the standard library before custom code, native platform features before dependencies, one line before fifty. Supports intensity levels: lite, full (default), ultra. Use on ANY coding task: writing, adding, refactoring, fixing, reviewing, or designing code, and choosing libraries or dependencies. Also use whenever the user says "ponytail", "be lazy", "lazy mode", "simplest solution", "minimal solution", "yagni", "do less", or "shortest path", or complains about over-engineering, bloat, boilerplate, or unnecessary dependencies. Do NOT use for non-coding requests (general knowledge, prose, translation, summaries, recipes).
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。
heyAyushh/stacc☆ 32026年9月21日 更新
Check the health of published EAS Updates: crash rates, install/launch counts, unique users, payload size, and the split between embedded and OTA users per channel. Use when the user asks how an update is performing, whether a rollout is healthy, how many users are on the embedded build vs OTA, or wants to gate CI on update health.
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。
heyAyushh/stacc☆ 32026年9月21日 更新
Elite mobile app image-generation skill for creating premium, app-native screen concepts and flows. Designed for iOS, Android, and cross-platform mobile products. Prioritizes clean hierarchy, comfortably readable text, strong multi-screen consistency, controlled color palettes, non-generic creative direction, textured surfaces, image-led composition, tasteful custom iconography, and clean phone mockup framing. By default, screens should be shown inside a subtle premium iPhone or similar phone mockup with a visible frame, while the main focus stays on the app content itself. This skill generates images only. It does not write 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。
heyAyushh/stacc☆ 32026年9月21日 更新
iOS and Swift/SwiftUI development guidance, including UI patterns, Liquid Glass styling, performance audits, view refactors, Swift concurrency, and iOS debugging. Use when building or reviewing iOS apps, SwiftUI views, or troubleshooting iOS issues.
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。
heyAyushh/stacc☆ 32026年9月21日 更新
Database (PostgreSQL) SQL best practices for clean, performant, and maintainable queries. Use when writing or reviewing SQL, schema changes, or database-related guidance.
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。
heyAyushh/stacc☆ 32026年9月21日 更新
Multi-agent exploration and task delegation for complex areas of interest. Use when you need to deeply explore a codebase area, gather information from multiple perspectives, or delegate parallel research tasks for comprehensive analysis.
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。
heyAyushh/stacc☆ 32026年9月21日 更新
Find deepening opportunities in a codebase, informed by the domain language in CONTEXT.md and the decisions in docs/adr/. Use when the user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more testable and AI-navigable.
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。
heyAyushh/stacc☆ 32026年9月21日 更新
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
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。
heyAyushh/stacc☆ 32026年9月21日 更新
Write or revise AI-learning-notes article pages in "寫文章模式" when the user asks for articles, technical articles, blog posts, bilingual versions, article formatting consistency, shared article-base alignment, responsive layout, summary/TOC decisions, contrast, or publishing-flow compatibility.
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。
eaglhuang/3klife☆ 32026年10月15日 更新
任務卡的必要調整。Use when ATM task cards contain proposal-style notes or dated additive acceptance sections such as 識別/行為/狀態機提案、不重啟驗收、ATM 演進規劃書 v2、連鎖影響、治理補丁, and those notes must be re-analyzed into the formal task-card sections.
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。
eaglhuang/3klife☆ 32026年10月15日 更新
Design, build, validate, and ship cross-platform agent skills. Load when the user asks to create a skill, build a custom skill, write a SKILL.md, package a workflow as reusable agent capability, improve or audit a skill, publish a skill, or build a planned skill suite.
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。
dvy1987/agent-loom☆ 32026年8月8日 更新
Break a stuck or complex problem into the smallest sub-question that, if answered, unlocks the next step — then answer it and repeat until the path forward is clear. Load when a problem feels genuinely stuck, when reasoning keeps circling, or when deep-thinking diagnoses a Socratic frame. Also triggers on "I keep going in circles", "what is the real question here", "help me reason through this step by step", "unstick my thinking", "recursive questioning", "what is the root question". Based on the recursive Socratic questioning method (EMNLP 2023) which outperforms CoT and Tree-of-Thought on complex reasoning tasks.
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。
dvy1987/agent-loom☆ 32026年8月8日 更新
Create handcrafted static SVG graphics and performant SVG animations — icons, illustrations, loaders, path-draw effects, morphing shapes, and motion paths. Load when the user asks to create SVG, draw an SVG icon, animate an SVG, make an SVG loader, path animation, shape morph, animated logo, line drawing effect, or improve trashy AI-generated SVG. Also triggers on "SVG animation", "SMIL", "stroke-dashoffset", "vector illustration", or "self-contained animated SVG".
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。
dvy1987/agent-loom☆ 32026年8月8日 更新
Delete, redact, or archive project and global memories when the user says forget this, delete memory, remove that preference, do not remember, redact sensitive information, or retire stale memory.
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。
dvy1987/agent-loom☆ 32026年8月8日 更新
Run a structured retrospective after development-phase runs of your product's agents — interview the owner in plain language about what went well and poorly, draft ranked improvement hypotheses, then design and run small n=1/n=2 experiments with pre-declared success criteria, guardrails, stop conditions, and a cost/ROI kill-switch. Load when the user says how did that run go, retro this run, the agent output was bad, what should we improve, draft hypotheses, run a small experiment, or after repeated dev runs of an agentic system produce uneven quality. Priority: output quality over performance over cost, each with diminishing-returns stops. NOT a product A/B test (experimentation), NOT coding-agent harness repair (harness-evolution), NOT production-scale learning (runtime-learning-loop).
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。
dvy1987/agent-loom☆ 32026年8月8日 更新
Turn a chosen design direction into a canonical DESIGN.md plus production tokens that don't look vibecoded — state-level colors (8-step neutral ramp, rest/hover/active/ disabled, focus ring), APCA-checked contrast, typography, spacing/radius/motion/elevation, an icon strategy, and component contracts for the core atoms. Emits tokens in the project's stack format (shadcn HSL vars or Tailwind v4 @theme). Load when the user asks to build a design system, generate design tokens, create a DESIGN.md, set up a theme, design a color or type system, pick icons, or when frontend-design routes here. Replaces design-tokens-craft and icon-craft. Sub-skill of frontend-design. Reads DIRECTION.md first.
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。
dvy1987/agent-loom☆ 32026年8月8日 更新
Compress an oversized SKILL.md to under 200 lines without losing effectiveness. Load when a skill exceeds 200 lines, when AGENTS.md triggers compression after a skill edit, or when the user asks to compress, shrink, slim down, or optimize a skill. Also triggers on "this skill is too long", "reduce skill size", "make this skill shorter". Applies to all skills including meta skills — the 200-line rule has no exceptions. Preserves hard gates, gotchas, output format, routing triggers, and at least one example. When genuinely CORE content cannot be compressed away, invokes split-skill instead of degrading the skill.
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。
dvy1987/agent-loom☆ 32026年8月8日 更新
Write a rigorous, decision-grade experiment spec — falsifiable hypothesis, primary metric, guardrails, randomisation unit, exposure definition, method (A/B, holdout, switchback, quasi-experiment, MAB), MDE/duration plan, peek policy, validity threats, and pre-committed decision rule. Platform-agnostic. Load when the user has a candidate experiment and needs to spec it before launch, or says "spec this experiment", "write the test plan", "design this A/B test", "what's the hypothesis", "how big a sample do we need", "how long should we run this", "define the metrics for this test", or when the experimentation orchestrator routes here.
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。
dvy1987/agent-loom☆ 32026年8月8日 更新