Эксперт Customer Journey. Используй для mapping touchpoints, user experience и journey optimization.
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 →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
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.
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.
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.
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.
Validate CWICR data quality and estimate inputs. Check for errors, inconsistencies, outliers, and missing data.
The digital librarian for Claude Code projects. Enforces structured document lifecycle management - organizing, indexing, and archiving project documentation automatically. Use when creating, organizing, or managing project documentation. Ensures documents are created in the proper `docs/` directory structure with required metadata, handles temporary documents in system temp directories, maintains an auto-generated index, and performs automatic archiving of old/complete documents. Use for any task involving document creation, organization, or maintenance.
cybersecurity-analyst
You are an expert in cycle counting and inventory accuracy management. Your goal is to help design and optimize cycle counting programs that maintain high inventory accuracy while minimizing operation
Plan Linear cycles using velocity analytics. Suggests scope based on historical capacity, identifies dependency risks, balances workload.
Classify problems into Cynefin Framework domains (Clear, Complicated, Complex, Chaotic, Confusion) and recommend appropriate response strategies. Use when unsure how to approach a problem, facing analysis paralysis, or needing to choose between expert analysis and experimentation.
Use when advanced Cypress features including custom commands, plugins, and network stubbing.
Use when cypress CI/CD integration including parallelization, test recording, and media capture.
Use when cypress fundamentals including commands, assertions, fixtures, and E2E testing patterns.
Inspect code and propose root cause hypotheses. Creates ./.gtd/debug/current/HYPOTHESES.md
Verify hypotheses with debug logging. Updates ./.gtd/debug/current/ROOT_CAUSE.md
Use when working with data transformations, scales, color schemes, formatting, or CSV/TSV parsing. Invoke for data processing pipelines, scale creation, color interpolation, number/date formatting, or data loading/parsing operations.
Use when creating maps, working with geographic projections, or processing GeoJSON data. Invoke for world maps, choropleth maps, projection types, geo path generators, spherical geometry, or geographic feature manipulation.
Use when creating interactive visualizations with transitions, animations, drag/zoom/brush behaviors, or DOM manipulation. Invoke for data binding with .join(), animated transitions, interactive behaviors, user input handling, or selection operations.
Use when creating tree diagrams, force-directed networks, Voronoi diagrams, or hierarchical layouts. Invoke for org charts, node-link diagrams, treemaps, dendrograms, force simulations, spatial indexing, or network visualizations.
Use when creating SVG shapes, paths, or generators for charts. Invoke for line/area/arc generators, curves, symbols, pie/donut charts, stacks, ribbons, or path manipulation operations.
Use when Daem0nMCP tools are available - enforces the sacred covenant (commune at session start, seek counsel before changes, inscribe decisions, seal outcomes)
Establish efficient parallel execution of tasks using Directed Acyclic Graph (DAG) structures to maximize throughput while respecting dependencies.
Synthesizes actionable feedback from validation results, confidence scores, and iteration triggers. Creates structured improvement guidance for re-execution. Activate on 'synthesize feedback', 'improvement suggestions', 'actionable feedback', 'iteration guidance', 'feedback generation'. NOT for iteration detection (use dag-iteration-detector) or convergence tracking (use dag-convergence-monitor).
Matches natural language task descriptions to appropriate skills using semantic similarity. Handles fuzzy matching, intent extraction, and capability alignment. Activate on 'find skill', 'match task', 'semantic search', 'skill lookup', 'what skill for'. NOT for ranking matches (use dag-capability-ranker) or skill catalog (use dag-skill-registry).
Expert guidance for Dagster data orchestration including assets, resources, schedules, sensors, partitions, testing, and ETL patterns. Use when building or extending Dagster projects, writing assets, configuring automation, or integrating with dbt/dlt/Sling.
Initialize a dagster project using the create-dagster cli. Create a dagster project, uv virtual environment, and everything needed for a user to run dg dev or dg check defs successfully. (project)
Modern data orchestration with Dagster - Software-Defined Assets, declarative pipelines, observability, and production patterns.
Compose daily blog posts in a multi-post single-file format from multiple data sources including Mastodon and Linkding. Use this skill when the user requests to create, update, or revise daily blog posts throughout the day.
Interactive daily standup/meeting update generator. Use when user says 'daily', 'standup', 'scrum update', 'status update', 'what did I do yesterday', 'prepare for meeting', 'morning update', or 'team sync'. Pulls activity from GitHub, Jira, and Claude Code session history. Conducts 4-question interview (yesterday, today, blockers, discussion topics) and generates formatted Markdown update.
daily-report-generator
Generate comprehensive daily status reports after solving AoC puzzles. Documents success/failure, challenges faced, retry attempts, execution time, and insights for workflow tuning. Use after completing each day's puzzle to provide developer feedback on automation effectiveness.
Use when preparing daily standups or status reports - automates PR summary generation with categorization, metrics, and velocity analysis; eliminates manual report compilation and ensures consistent format
A Tailwind CSS component library that provides a set of pre-designed UI components. Use for accessible, themed components that match Williamstown SC brand.
Expert on building decentralized applications with Shelby Protocol storage on Aptos. Helps with dApp architecture, wallet integration (Petra), browser SDK usage, React/Vue integration, file uploads, content delivery, and building Shelby-powered applications. Triggers on keywords Shelby dApp, build on Shelby, Shelby application, Petra wallet, browser storage, web3 app, decentralized app Shelby, React Shelby, Vue Shelby.
Validate Dapr component configs, sidecar annotations, and mTLS settings. Use when: (1) Creating Dapr Component manifests, (2) Adding Dapr annotations to deployments, (3) Configuring pub/sub, state stores, or bindings, (4) Before deploying Dapr-enabled applications, (5) Generating new Dapr components. Validates secrets management (secretKeyRef), scopes, mTLS, sidecar resource limits, and namespace configuration.
Warehouse-Prozess-Analyse mit 207 Labels, 47 Prozessen, 8 Szenarien, 10 Triggern. Vollständige Expertise für DaRa Datensatz + REFA-Methodik + Validierungslogik + Szenarioerkennung. 100% faktenbasiert ohne Halluzinationen.
Analyze repositories to reveal unseen patterns, strategic drift, and organizational health. Use when assessing repository coherence, diagnosing project issues, identifying documentation inflation, or understanding why a codebase feels misaligned with its stated goals.
Implements theme switching with semantic tokens and prefers-color-scheme detection. Use when adding dark mode, light/dark themes, color scheme toggles, or converting hardcoded colors to theme-aware tokens.
DART contribution workflow - branching, PRs, code review, dual-PR for bugfixes