5,297 件 ・ 関連度順
Define and generate the manual-first evidence pack for high-risk work. Covers 6 high-risk class definitions and the 5-artifact schema required before finalizing, pushing, or handing off.
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。
Create or update a product-discovery SPEC (requirements doc) for user review. Use when turning RESEARCH findings plus user intent into a reviewable requirements artifact before INNOVATE/PLAN.
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。
CloudBase declarative deployment from a cloudbaserc config (声明式部署, 配置式部署, cloudbaserc 部署) through the deployBuild / deployPlan / deployApply MCP tools. Use when deploying database, functions, app, hosting, or gateway resources described in cloudbaserc.json/yaml as a single desired-state config, when a user wants to build static hosting artifacts locally first (deployBuild), or wants a dry-run plan before applying (deployPlan), or when handling multi-environment deploys via mode / envOverrides. Covers build-plan-apply flow (deployBuild local build → deployPlan dry-run → deployApply confirm=true), hosting build-output neutralization, envId resolution priority, only/skip filtering, concurrency, and continueOnError. Prefer deployBuild (when hosting declares a buildCommand) and deployPlan before deployApply; do not confuse with per-resource tcb CLI deploy or single-function deploy.
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。
Source-blind user behavior validation against a prewritten contract for apps, CLIs, APIs, and generated artifacts.
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。
Produce a periodic review of a second-brain vault: what was added, which topics are growing, what contradicts what, which questions are still open, and what is worth reading next. Use this skill whenever the user asks for a weekly or monthly review, asks what changed in their vault, what they have been learning about lately, or what they should look at next, and when a scheduled review task fires. Do NOT use for structural linting, for ingesting sources, or for answering a specific factual question.
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。
Generate a deliverable markdown report by merging all /money-save snapshots for a project. Produces a shareable, dated document at ~/.smtm/reports/{project}/. Useful for sharing progress with co-founders, advisors, investors, or for personal review weeks/months later. Use when the user wants to package up accumulated state into a readable artifact. Triggered by: 'package this up', 'make me a report', 'export for partner', 'give me the deliverable', '出报告', '打包', '整理一份', '给合伙人看的'.
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。
Orchestrate App Store releases with asc, including staging a version, uploading or building an artifact, publishing, and submitting for review. Use when the user wants to prepare or execute a release. Keep Game Center item preparation in this skill; route other readiness failures, stuck submissions, cancellation, and retry decisions to asc-submission-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。
Use when the spoken content of a YouTube video is needed — even if not explicitly requested: pasted video links or IDs, requests to summarize, quote, transcribe, translate, fact-check, or extract anything from a video. Also use for research or learning when a video is the source. Not for uploads or account management.
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 a Neva GitHub release draft from merged PRs, previous release style, and local multi-platform artifacts. Use this for monthly release preparation in nevalang/neva.
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 for Go changes in Neva: authoring, refactoring, debugging, or review.
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 for Neva source or snippets: authoring, refactoring, debugging, or review.
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 and publish GitHub releases. Sanitizes code for public release (secrets scan, personal artifacts, LICENSE/README validation), creates version tags, and publishes via gh CLI. Trigger with 'release', 'publish', 'open source', 'prepare for release', 'create release', or 'github release'.
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。
React 19 performance patterns and composition architecture for Vite + Cloudflare projects. 50+ rules ranked by impact — eliminating waterfalls, bundle optimisation, re-render prevention, composition over boolean props, server/client boundaries, and React 19 APIs. Use when writing, reviewing, or refactoring React components. Triggers: 'react patterns', 'react review', 'react performance', 'optimise components', 'react best practices', 'composition patterns', 'why is it slow', 'reduce re-renders', 'fix waterfall'.
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。
Deep research and discovery before building something new. Explores local projects for reusable code, researches competitors, reads forums and reviews, analyses plugin ecosystems, investigates technical options, and produces a comprehensive research brief. Three depths: focused (30 min), wide (1-2 hours), deep (3-6 hours). Triggers: 'research this', 'discovery', 'explore the space', 'what should I build', 'competitive analysis', 'before I start building', 'research before coding'. Not for cited fact-checking research reports (a separate harness does those); this is pre-build product discovery.
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。
Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality. Use when asked to "simplify code", "clean up code", "refactor for clarity", "improve readability", or review recently modified code for elegance. Focuses on project-specific best practices.
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。
当用户要求重构代码（提取组件、合并重复逻辑、重命名变量、优化结构）时触发。提供重构安全检查清单，防止丢失原始上下文。
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。
当用户要求重构代码（提取组件、合并重复逻辑、重命名变量、优化结构）时触发。提供重构安全检查清单，防止丢失原始上下文。
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。
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
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。
Generate and run minimal reproducible Python modeling code for the human-approved main method and usable baseline, saving compact experiment artifacts and a canonical run summary.
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。
Assemble a submission-ready writer package from final method, result, robustness, figure, and human-decision artifacts, then freeze approved numerical claims with provenance.
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。
Generate and run minimal reproducible MATLAB or Beita Tianyuan compatible code for the human-approved main method and usable baseline, with compact experiment artifacts and a canonical run summary.
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。
Audit whether the semantic evidence required by the active lean or submission profile exists and is current, without requiring one verbose artifact per skill or an arbitrary number of pass bullets.
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。
Faithfully append a human modeler's choice and rationale to one canonical per-subquestion JSONL decision ledger. Use after a choice card is answered or when migrating legacy decision artifacts; never originate or improve the decision.
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 scoped or final cross-media consistency checks for mathematical-modeling artifacts, comparing canonical numbers, symbols, parameters, decisions, files, and paper claims without performing full-workspace audits for low-risk changes.
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。