「quality」の検索結果

Write content using the most recent brief. Loads framework rules, persona hooks, learned patterns, and skill contract. Auto-runs quality gate on completion.

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。

Plan and produce a content calendar — a month (or quarter) of blog posts, LinkedIn articles, and SEO content mapped to business goals, personas, and keywords. Generates briefs for each piece, optionally batch-produces all content with quality gates. Use when "content calendar", "plan blog content", "monthly content", "quarterly content plan", "what should we publish", "content strategy", "editorial calendar", or any request to plan multiple pieces of content over time.

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。

Conversion rate optimization audit — analyze a landing page, signup flow, or checkout funnel using the 5-layer CRO stack (technical performance, traffic quality, offer/pricing, design/layout, copy/messaging). Produces prioritized fix list with expected impact. Use when "CRO audit", "conversion audit", "why isn't this converting", "improve conversion rate", "landing page not converting", "optimize funnel", "signup flow audit", or any request to diagnose and fix conversion problems.

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 the full quality gate on any content file. Score against 28 rules, apply policy, show detailed scorecard with fix suggestions. Works on any markdown file.

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 a brand's positioning into a 30-day, multi-platform content batch — 3-7 pillars, subtopic matrix mapped to funnel stage and persona, pillar pieces plus derivative fan-out, proof elements in at least half the slots, all registered in the editorial calendar store and quality-gated. Use when "content batch", "batch my content", "30 days of content", "month of content", "content batching machine", "content pillars", "fill the content calendar", "plan a month of posts", or any request to produce a full month of multi-platform content in one run.

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。

Plan and batch-produce an entire email system for a product. Maps every lifecycle touchpoint (onboarding, activation, conversion, retention, transactional, win-back), generates all emails with quality gates, outputs Loops-ready copy. Use when "create all emails", "email system", "build email sequences", "lifecycle emails", "onboarding sequence", "set up transactional emails", "plan all the emails for [product]", or any request to systematically produce a complete set of emails for a platform.

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。

Icarus Figures produces publication-grade figures for scientific papers — reproducible matplotlib/seaborn data figures and original TikZ method/framework/architecture figures, held to a four-axis quality bar (depth · elegance · unimpeachable · visible-gap) and exported as editable PDF+PNG+SVG with a runnable critique gate. Use this whenever a figure is destined for a paper, journal, conference submission, thesis, or report — making a plot/chart publication- or journal-ready, building a method/architecture/framework diagram or 技术路线图 (the hero figure a paper opens with), a schematic or workflow figure, or cleaning up a matplotlib/seaborn/TikZ figure that currently looks like a homework plot. Trigger even when the user never says "publication": if the figure goes into a written scientific document, this skill applies.

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。

Crypto Fundamental Analysis — evaluates project viability, team quality, technology, adoption metrics, and competitive moat with a composite Fundamental Score (0-100)

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。

Development workflows for WordPress ATmosphere plugin including wp-env setup, testing commands, linting, and build processes. Use when setting up development environment, running tests, checking code quality, or working with wp-env.

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。

设计代码规范 / Lint 配置 / Code Review 标准时使用。覆盖 SOLID 原则 / Lint 工具（ESLint / Prettier / Checkstyle / pylint / golangci-lint）/ SonarQube 集成。融合 Clean Code + Robert Martin SOLID + Code Review 文化。

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 implementing any feature or bugfix. Routes to the core Red-Green-Refactor loop, test quality guidance, rationalization handling, examples, or stuck-state recovery.

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 before any deployment or completion claim. Enforces test gates, evidence-based verification, and frontend safety checks. No deploy without passing. No claims without evidence.

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。

TypeScript best practices: strict mode, ESLint rules, file naming, imports, type safety, Zod validation, error handling, and testing with Vitest. Use when writing TypeScript code, reviewing for code quality, fixing lint errors, creating types/interfaces, writing tests, or adding validation.

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 Architecture Decision Record (ADR) creation and lifecycle management based on Olaf Zimmermann's methodology. Use when creating ADRs, reviewing architectural decisions, evaluating decision readiness, writing MADR templates, assessing decision quality, or managing ADR logs. Covers the full lifecycle from readiness (START criteria) through creation, MADR formatting, completion (ECADR criteria), and ongoing maintenance.

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 sales operations and analytics guidance for revenue teams. Use when designing CRM workflows, building sales dashboards, optimizing pipeline analytics, creating lead routing rules, designing territories, calculating commissions, managing data quality, building forecasting models, or integrating sales tech stack. Covers Salesforce, HubSpot, Outreach, Gong, and RevOps 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。

The Mileva Method (CRISP) — Phase 4: Spec. Full implementation readiness package including solution design, UX direction, tech stack, backlog, MVP prioritization, risk assessment, and AI architecture for Claude Code projects — CLAUDE.md, skill mapping, AI specs, sprint planning, quality gates. Triggers on "spec", "phase 4", "build ready", "implementation plan", "CLAUDE.md", "sprint planning", "backlog", "AI spec", or after Phase I exit checklist is complete.

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。

Quality-assure integrated tdmcp features: run the four PR gates + recipe/bridge tests, cross-boundary coherence checks (tool schema↔CLI↔docs↔registry, operator↔createable, bridge↔client), and live TouchDesigner validation (preview + post-cook error check) when the bridge is reachable. Use when validating/QA-ing/testing tdmcp tools, checking a feature actually cooks in TD, verifying CLI matches a tool, or gating a 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。

Study a merged or shipped tdmcp implementation and extract reusable learnings: code improvements, runtime/UX lessons, test gaps, docs updates, roadmap items, and harness changes. Use when the user asks to learn from a completed feature/project/PR/build, analyze what can be improved from an implementation, or turn a real installation experience into actionable tdmcp improvements. This is a post-implementation learning harness; it does not replace tdmcp-pipeline for building or tdmcp-quality-audit for broad repo audits.

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。

Automatically optimize AI agent credit usage by routing tasks to the most cost-efficient execution path. Use when you want to reduce AI API costs by 30-75% without quality loss, classify task complexity before execution, route simple tasks to free or low-cost models, split complex tasks into optimized sub-tasks, or detect vague prompts before wasting credits.

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 to run a dynamic, goal-driven workflow — orchestrate a multi-step goal by composing skills, tools, and MCPs, with a quality gate and verification at each step. Trigger on "/workflow", "run the <name> workflow", "orchestrate X", or a multi-step recurring goal ("draft the investor update", "give me my morning brief"). Follows references/sops/dynamic-workflows.md and the wf-*.md cards. Respects the autonomy/cadence gate (auto on reversible/internal, draft-then-approve on external/regulated).

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。

Creates or completes a medium-coverage test suite: unit, component, and critical e2e flows.

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。

Model selection strategy and routing. Use when choosing between models for different task types, subagent configurations, or optimizing token cost vs quality tradeoffs.

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 distinctive, production-grade frontend interfaces with high design quality that avoids generic AI aesthetics. Use when the task involves `build web components`, `create frontend interface`, `build web page`, `build web application`, `frontend design`, `create UI component`, or `design web interface`.

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。

Apply MCAF agile-delivery guidance for backlog quality, roles, ceremonies, and engineering feedback. Use when defining how the team plans, tracks work, and turns feedback into durable 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。