Update CURRENT-FOCUS.md by combining Linear cycle data, git history, test results, and chat context analysis. Prioritize work and identify gaps.
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Update CURRENT-FOCUS.md by combining Linear cycle data, git history, test results, and chat context analysis. Prioritize work and identify gaps.
Synthesize multiple feedback sources to identify high-impact curriculum improvements with implementation guidance and version tracking.
Ensure all curriculum materials meet accessibility standards and implement Universal Design for Learning principles for all learners.
Analyze curriculum materials to identify bias, stereotypes, cultural assumptions, and barriers; recommend inclusive, equitable alternatives.
Conduct expert review of curriculum to ensure pedagogical soundness, constructive alignment, and evidence-based practices.
Comprehensively reviews curriculum materials for quality, consistency, and effectiveness. Use when the user asks to review content, check quality, audit materials, or ensure curriculum meets standards. Provides detailed feedback and improvement recommendations.
Validate IMS Common Cartridge 1.3 packages for specification compliance, structural integrity, and LMS compatibility before delivery.
Offloading tasks with a well-defined scope to sub-agents, for instance to use a sub-agent to implement a set of specs. Use this skill whenever a task should not need a broad knowledge of the whole project
Best practices for using Cursor—rules, commands, skills, subagents, ignore files, Agent security, workflows, and community resources. Use when setting up Cursor, initializing or creating the .cursor folder, writing .cursor/rules or AGENTS.md, creating commands or skills, configuring .cursorignore, working with Agent, discovering rules or MCPs (e.g. cursor.directory), making codebases cursor-compatible, or asking about Cursor workflows, TDD, git commands, or large codebases.
Single source of truth and librarian for ALL Cursor documentation. Manages local documentation storage, scraping, discovery, and resolution. Use when finding, locating, searching, or resolving Cursor documentation; discovering docs by keywords, category, tags, or natural language queries; scraping from llms.txt; managing index metadata (keywords, tags, aliases); or rebuilding index from filesystem. Run scripts to scrape, find, and resolve documentation. Handles doc_id resolution, keyword search, natural language queries, category/tag filtering, alias resolution, llms.txt parsing, markdown subsection extraction for internal use, hash-based drift detection, and comprehensive index maintenance.
> *"You can't think about thinking without thinking about thinking about something."*
Audit Cursor IDE rules (.mdc files) against quality standards using a 5-gate review process. Validates frontmatter (YAML syntax, required fields, description quality, triggering configuration), glob patterns (specificity, performance, correctness), content quality (focus, organization, examples, cross-references), file length (under 500 lines recommended), and functionality (triggering, cross-references, maintainability). Use when reviewing pull requests with Cursor rule changes, conducting periodic rule quality audits, validating new rules before committing, identifying improvement opportunities, preparing rules for team sharing, or debugging why rules aren't working as expected.
Create Cursor IDE rules in .mdc format with proper frontmatter, glob patterns, and cross-references. Covers rule structure, file organization, triggering mechanisms, and quality standards. Use when creating or modifying Cursor rules for context injection.
This skill should be used when creating or editing Cursor rules files (.mdc format) in the .cursor/rules directory. Provides guidance on rule types, frontmatter configuration, effective rule writing patterns, and best practices for structuring AI instructions for Cursor IDE.
You are an expert in creating Agent Skills following Cursor's pattern.
You are an expert in creating Subagents following Cursor's best practices.
Control Cursor AI code editor via CLI. Open files, folders, diffs, and manage extensions.
Building custom CRM systems with careful architecture planning, database design, core features including contact management, deal pipeline, activity tracking, and implementation patterns.
Define and use custom HTML elements. Use when creating new components, defining custom tags, or using project-specific elements beyond standard HTML5.
Manage Custom Hostnames and SSL for SaaS applications on Cloudflare. Use this skill when building white-label platforms, implementing vanity domains for customers, managing SSL certificate lifecycle, or troubleshooting custom hostname verification issues.
Use when adding spawn eggs or fixing spawn egg visual bugs (black square, grayscale, invisible).
State management is the **cornerstone of modern Flutter development**. It's the difference between a chaotic, unmaintainable codebase and an elegant, scalable architecture that grows with your busines
Customer-facing documentation
A Study Group is a structured, cross-functional roleplay session designed to reveal the "entropy" and friction that accumulate in a product. Instead of reviewing a demo or looking at a friction log, t
Synthesize user feedback from multiple channels and identify patterns to inform product decisions. Use when analyzing feedback, prioritizing feature requests, conducting NPS surveys, or understanding user sentiment. Covers feedback collection, categorization, prioritization frameworks, and closing the feedback loop.
Comprehensive customer feedback framework including NPS, CSAT, CES surveys, exit interviews, user research, feature request management with RICE prioritization, feedback analysis, close-the-loop processes, and 90-day implementation roadmap for Voice of Customer programs
Gathering, analyzing, and acting on user input through surveys, feedback widgets, rating systems, sentiment analysis, and integration with product roadmap to improve products and services.
Эксперт Customer Journey. Используй для mapping touchpoints, user experience и journey optimization.
Map customer journeys to optimize touchpoints and experiences
Aggregate and analyze customer reviews from G2, Capterra, Trustpilot, App Store, and other platforms. Performs sentiment analysis, identifies pain points, extracts feature feedback, generates marketing claims, and compares competitor reviews. Use when users need review analysis, competitive intelligence, or customer feedback insights.
Expert guidance for improving customer service assistants. Use when optimizing UX, response time, tone, wording, conversation flow, or evaluating customer service quality.
Craft empathetic, effective customer support responses that solve problems
Эксперт customer training. Используй для onboarding программ, training materials и certification paths.
Customizes WPF control appearance using ControlTemplate with TemplateBinding and ContentPresenter. Use when completely changing control visuals, implementing state-based feedback, or TemplatedParent binding.
Cutting parameter lookup and optimization for CNC machining. Covers feeds, speeds, depths of cut for common materials and operations. USE WHEN user asks 'feeds and speeds', 'cutting parameters', 'SFM for', 'what RPM', 'feed rate for', 'DOC for', or needs machining parameter guidance.
Edit and update existing CV content using the knowledge base as source of truth. Use when user wants to modify case studies, update experience, refine variants, or improve existing content.
Create, edit, and sync CV content using the knowledge base as source of truth. Unified skill for case studies, blog posts, experience updates, and variant content. Replaces cv-content-generator and cv-content-editor.
Professional CV and resume builder transforming career narratives into ATS-optimized, multi-format resumes. Integrates with career-biographer for data and competitive-cartographer for positioning. Generates PDF, DOCX, LaTeX, JSON Resume, HTML, and Markdown. Activate on 'resume', 'CV', 'ATS optimization', 'job application'. NOT for cover letters, portfolio websites (use web-design-expert), LinkedIn optimization, or interview preparation.
Ingest and organize raw career data from Obsidian notes, CSV files, zip archives, and markdown documents into the Universal CV portfolio system. Use when processing career history, work experience, testimonials, case studies, or resume data from multiple sources. Outputs structured YAML/Markdown validated against Zod schemas.
Expert CV/resume writer with deep ATS optimization, job description analysis using chain-of-thought reasoning, industry-specific formatting (tech, business, creative, academic, executive), and strategic career positioning. Use when users need help with creating or updating CVs/resumes, analyzing job descriptions to identify keywords and requirements, optimizing existing CVs for ATS systems, tailoring CVs for specific jobs or industries, improving CV sections or bullet points, translating experience into achievement-driven narratives, addressing career gaps or transitions, or selecting appropriate CV formats for different fields and career levels.
Google ADK (Agent Development Kit) architecture and core concepts. Covers agent types (LLM, Sequential, Parallel, Loop, Multi-agent), tool ecosystem, execution flows, deployment options, and observability. Model-agnostic framework for production AI agents. Use when understanding ADK architecture, selecting agent patterns, designing agent systems, or deploying to Vertex AI.
Cost optimization strategies for production AI pipelines in Clojure+Vertex AI. Covers multi-model routing (70% Gemini/20% Haiku/10% Sonnet), token optimization (prompt engineering, output constraints), aggressive caching (58% cost reduction), batch processing, and real-time monitoring. Includes production metrics showing $0.391 to $0.162 per pipeline (-58%). Use when optimizing production costs, implementing multi-model strategies, designing budget controls, or scaling to high volume.
Multi-agent workflow orchestration patterns for Clojure+Vertex AI. Covers sequential/parallel/DAG topologies, state management (stateless/stateful/hybrid), error handling (retry/circuit breaker), and monitoring. Includes production metrics from healthcare pipeline (99.4% latency reduction, 92.4% cost reduction). Use when designing multi-agent systems, implementing complex pipelines, optimizing workflow performance, or building production orchestration.
Quick reference cheatsheet for Google ADK in Clojure. Includes agent creation patterns, model configuration, tool building, execution patterns, and common workflows. Use when writing ADK code, looking up API syntax, building agents, or troubleshooting implementations.
Python interoperability setup using libpython-clj for Clojure agent development. Includes Python environment configuration, module importing strategies, data type conversion between Python and Clojure, NumPy/Pandas/HuggingFace integration, virtual environment setup, and performance optimization. Use when integrating Python ML libraries, setting up data science workflows, troubleshooting Python interop issues, working with NumPy arrays or Pandas DataFrames, or calling HuggingFace transformers from Clojure.
Эксперт CVE tracking. Используй для vulnerability management, security advisories и patch prioritization.
Quick guide to choosing the right creative writing skill. Use when you need help deciding which creative writing skill to use for a specific task - brainstorming vs documentation, critique vs writing, etc.
Load and parse DDC CWICR construction cost database from multiple formats: Parquet, Excel, CSV, Qdrant snapshots. Foundation for all CWICR operations.
Validate CWICR data quality and estimate inputs. Check for errors, inconsistencies, outliers, and missing data.
Update CWICR resource rates with current market prices. Integrate external price data, apply inflation adjustments, and maintain rate history.