验证代码构建顺序，分析依赖关键路径，建议Sprint划分和交付优先级。当STRUCT和GOAL确定后使用。

Master orchestrator that generates all implementation specs (PRD, Architecture, UX, Implementation, Test, Release) from product plan. Use when generating complete specification package.

Use after implementation complete to verify all tasks done, update roadmap, run full test suite, and create final report - ensures implementation completeness before finishing development branch

Use when turning PRDs or feature specs into actionable implementation workflows - provides structured task decomposition, dependency mapping, and validation gates.

Implement features with code, tests, and documentation. Use when building

Complete TDD workflow for implementing business logic (use cases) and API endpoints that make tests pass. Covers Zod safeParse validation, async/await patterns, Next.js API routes, service orchestration, and Clean Architecture compliance.

Write production-quality code following project patterns. Use when implementing features, fixing bugs, or creating new files. Includes Context7 library documentation lookup.

Implements new Agent Skills for the project. Identifies the AI coding tool (Cursor, Claude Code, Gemini CLI), ensures specification compliance, and provides specialized templates. Use when creating, authoring, or adding a new skill, or when the user asks about Agent Skills format or SKILL.md.

Write clean, efficient, maintainable code. Use when implementing features, writing functions, or creating new modules. Covers SOLID principles, error handling, and code organization.

Guides Test-Driven Development for this Neovim plugin project. Use when implementing new features or fixing bugs that require behavioral changes. Includes project-specific tooling (make test/lint/check) and Lua/Busted testing patterns. Follows strict RED-GREEN-REFACTOR cycle.

Implements Figma designs 1:1 using OneKey component library. Use when implementing UI from Figma, converting designs to code, or building pages/components from design specs. Triggers on figma, design, UI, 还原设计稿, 切图, 页面, 组件, implementation, Button, Input, Badge, Icon, Stack, XStack, YStack, Dialog, Toast, Alert, Form, Select, Switch, Checkbox, Radio, Tabs, Popover, ActionList, Progress, Skeleton, Image, Avatar, Banner, Carousel, Table, Accordion, ScrollView, ListView, SectionList, Page, Divider, Empty, QRCode, Markdown, Spinner.

Import brownfield documentation from Notion exports, Confluence, GitHub Wiki, or any markdown folder. Automatically classifies files as specs, modules, team docs, or legacy.

AUTO-EXECUTE import of external work items (GitHub/JIRA/ADO) since last import. NO PROMPTS - immediately runs with defaults. Creates READ-ONLY references in living docs. Options available but NOT required.

>

Expert at automatically applying improvements to Claude Code components based on quality analysis. Enhances descriptions, optimizes tool permissions, strengthens security, and improves usability. Works in conjunction with analyzing-component-quality skill.

Expert guidance for building and maintaining the Para Obsidian inbox processing system - a security-hardened automation framework for processing PDFs and attachments with AI-powered metadata extraction. Use when building inbox processors, implementing security patterns (TOCTOU, command injection prevention, atomic writes), designing interactive CLIs with suggestion workflows, integrating LLM detection, implementing idempotency with SHA256 registries, or working with the para-obsidian inbox codebase. Covers engine/interface separation, suggestion-based architecture, confidence scoring, error taxonomy, structured logging, and testing patterns. Useful when user mentions inbox automation, PDF processing, document classification, security-hardened file processing, or interactive CLI design.

Expert SRE incident responder specializing in rapid problem

Comprehensive incident root cause analysis skill for distributed systems. Analyzes logs, metrics, and traces to identify cascading failures, resource contention, and root causes through systematic anomaly detection, timeline correlation, and evidence-based hypothesis testing.

Detect and resolve incoherence in documentation, code, specs vs implementation. Includes reconciliation phase for applying user-provided resolutions.

Income approach land valuation by capitalizing land rent (telecom sites, agricultural rent, ground leases). Market rent analysis, cap rate selection, reconciliation with sales. Use for income-producing land valuation

Plan and create SpecWeave increments with PM and Architect agent collaboration. Use when starting new features, hotfixes, bugs, or any development work that needs specification and task breakdown. Creates spec.md, plan.md, tasks.md with proper AC-IDs and living docs integration.

AI-powered quality assessment using LLM-as-Judge pattern with BMAD risk scoring and formal gate decisions. Use for evaluating increment specs, assessing task completeness, or making quality gate decisions (PASS/CONCERNS/FAIL). Chain-of-thought reasoning ensures transparent evaluation.

Plan new Product Increment. Use when starting new features, hotfixes, or development work that needs specification.

Ability to analyse, design, optimise, and improve systems that integrate people, processes, technology, and resources to meet defined performance, quality, cost, and safety requirements. Includes applying engineering, statistical, and systems methods to model workflows, identify inefficiencies, evaluate trade-offs, and implement improvements across operations and supply chains. Applies across manufacturing, services, logistics, healthcare, and infrastructure contexts and is independent of specific tools or industries, with human accountability retained for decisions, outcomes, and impacts.

Deep domain research and expertise synthesis across industries, combining academic research, market intelligence, and practitioner knowledge

Specialized agent configurations for specific industries

infra-adoption

infra-debugger

infra-tester

Infrastructure-as-Code specialist for Terraform, AWS, Azure, and serverless architectures. Use when setting up cloud infrastructure, writing Terraform modules, or deploying to AWS Lambda/Vercel/Cloudflare. Covers VPC configuration, container orchestration, and CI/CD pipeline infrastructure.

Run TestKube and PGBouncer tests on Kubernetes clusters with mandatory context verification to prevent accidental deployments to wrong environments

>

>

Initialize and configure local development tooling for TypeScript, Rust, and Python projects including monorepos. Use when setting up linting (ESLint, Biome, clippy, ruff), formatting (Prettier, rustfmt, ruff), type checking (tsc, mypy), testing (Vitest, Jest, cargo test, pytest), Git hooks (lefthook for commit-msg, pre-commit, pre-push), GitHub Actions workflows, package publishing (npm, crates.io, PyPI), version management (Changesets), and automated releases. Covers both single-language projects and multi-language monorepos using Nx + pnpm workspaces.

Scaffold projects with agentic coding structure for AI-assisted development.

Initialize complete governance framework in a project - creates constitution, roadmap, directory READMEs, and issue/spec templates with guided setup process

Initialize long-running agent projects with environment setup, feature list generation, and progress tracking. Use when starting a new implementation project or setting up an existing codebase for Claude-assisted development. Creates init.sh (dev server script), claude-progress.txt (work log), and docs/features.json (feature list with status tracking).

Initializes the Appwrite Client using Singleton or Provider patterns for Next.js 15. Use whenever setting up the backend connection.

Guidelines for adding inline cross-reference links to example sentences and notes. Includes common word reference table.

This skill should be used when developing, optimizing, testing, or submitting algorithms for The Innovation Game challenges (3-SAT, CVRP, Knapsack). Use it for algorithm development, performance optimization, local testing, dry-run validation, or submission to earn TIG tokens through improved computational algorithms.

Request clarification when input is ambiguous. Use when user request has missing parameters, conflicting interpretations, or insufficient constraints for reliable execution.

Supabase-style connection UI for managing InsightPulse AI infrastructure (Supabase, Odoo, Superset, MCP servers, PostgreSQL, APIs). Self-hosted connection manager module for Odoo 19 that provides unified connection management, auto-generated configurations, connection testing, and beautiful Kanban interface.

Business intelligence expert - creates actionable insights, visualizations, and executive reports from GabeDA model outputs. Identifies data gaps and recommends new features.

Analyze websites for design inspiration, extracting colors, typography, layouts, and patterns. Use when you have specific URLs to analyze for a design project.

Create Instagram-specific content strategies for Reels, Stories, feed posts, and growth optimization

Use when adding project dependencies. Defines dependency management rules and language-specific patterns.

Installs and configures project infrastructure including MkDocs Material intelligent textbook templates, learning graph viewers, and skill tracking systems. Routes to the appropriate installation guide based on what the user needs to set up.

Use when setting up git pre-commit and pre-push hooks - provides simple shell script approach and pre-commit framework method, both calling justfile commands for DRY principle

'Create and manage high-quality custom instruction files for GitHub Copilot. Use when you need to define new project-specific guidelines, workflows, or coding standards in the instructions/ directory.'

Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library