github-issues
Query and search GitHub issues using gh CLI with web fallback. Supports filtering by labels, state, assignees, and full-text search. Use when troubleshooting errors, checking if an issue is already reported, or finding workarounds.
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Query and search GitHub issues using gh CLI with web fallback. Supports filtering by labels, state, assignees, and full-text search. Use when troubleshooting errors, checking if an issue is already reported, or finding workarounds.
Comprehensive Git push operations including basic push, force push safety protocols, tag pushing, remote management, and troubleshooting. Use when pushing commits, managing remotes, pushing tags, resolving push conflicts, handling rejected pushes, or dealing with force push scenarios. Covers push strategies, branch protection, upstream configuration, and push --force-with-lease best practices.
Comprehensive guide to Git line ending configuration for cross-platform development teams. Use when configuring line endings, setting up .gitattributes, troubleshooting line ending issues, understanding core.autocrlf/core.eol/core.safecrlf, working with Git LFS, normalizing line endings in repositories, or resolving cross-platform line ending conflicts. Covers Windows, macOS, Linux, and WSL. Includes decision trees, workflows, best practices, and real-world scenarios.
Central authority on git hook implementations, modern best practices, and tooling for .NET/C#, JavaScript/TypeScript, Python, and polyglot repositories. Covers framework selection (Husky.Net, lefthook, Husky, pre-commit), setup workflows, Conventional Commits, semantic versioning, secret scanning (gitleaks, TruffleHog), performance optimization, CI/CD integration, testing strategies, and team collaboration patterns. Adaptive to project scale from solo developers to enterprise teams. Use for setting up git hooks, configuring pre-commit/commit-msg/pre-push hooks, integrating dotnet format/dotnet test, ESLint/Prettier, Black/Ruff/mypy, commitlint, choosing between frameworks, optimizing hook performance, enforcing code quality, automating testing, and troubleshooting hook issues.
Complete guide to installing Git and performing basic configuration across all platforms (Windows, macOS, Linux, WSL). Use when setting up Git for the first time, installing Git on new systems, configuring user identity, setting default branch, choosing editor, verifying installation, or troubleshooting Git installation issues. Covers platform-specific installation methods, basic required configuration, and verification steps.
Provides guidance for installing, configuring, and choosing Git graphical interface clients (GitKraken, Sourcetree, GitHub Desktop) across platforms. Compares features, licensing, and workflows. Troubleshoots graphical tool configuration and setup issues. Use when installing Git graphical clients, setting up Git visualization tools, configuring graphical commit tools, choosing between options, or troubleshooting configuration. Covers Windows, macOS, and Linux. All tools are optional and based on user preference.
通过分析提交历史、分类更改并将技术提交转换为清晰的、面向客户的发布说明,自动从 git 提交创建面向用户的更新日志。将数小时的手动更新日志编写工作缩短为几分钟的自动生成。
Comprehensive guide to GPG commit signing. Set up, configure, and troubleshoot GPG commit signing. Fix GPG signing errors, configure passphrase caching, verify commit signatures. Use when working with Git commit signing, GPG keys, commit verification, signature verification, GPG configuration, or when encountering GPG signing errors. Covers Windows (Gpg4win), macOS (GPG Suite), Linux (gnupg), and WSL installation and setup.
Comprehensive Git configuration guide covering global settings, aliases, performance tuning, credential management, maintenance, .gitattributes, clone shortcuts, and troubleshooting. Use when configuring Git beyond basic setup, optimizing Git performance, setting up aliases, managing credentials (GitHub CLI, Windows Credential Manager), configuring line ending strategy, setting up .gitattributes, enabling Git maintenance, or troubleshooting configuration issues. Cross-platform guidance for Windows, macOS, and Linux.
Advanced GPG multi-key management strategies for consultants, CI/CD automation, and enterprise teams. Configure, set up, run, and execute multi-key GPG workflows. Use when managing multiple GPG keys (personal + automation, per-client keys, enterprise keys), configuring CI/CD commit signing, implementing per-client key isolation, using conditional Git includes, setting up automated signing, or scaling GPG key strategies beyond single-key setups.
Analyze git changes and create changesets for package releases. Use when preparing pull requests, creating PRs, when branch has commits ready for review, or when user mentions changeset or version bump.
ROUTING SKILL — delegates to specialized diagram skills. USE FOR: any diagram request when the caller does not know which tool to use. Routes to drawio, python-diagrams, or mermaid based on diagram type.
Mermaid diagram generation for inline markdown documentation: flowcharts, sequence diagrams, Gantt charts, class diagrams, state diagrams, ER diagrams, and architecture visualizations. USE FOR: inline markdown diagrams, flowcharts, sequence diagrams, Gantt charts, state diagrams, ER diagrams, Azure resource visualization. DO NOT USE FOR: architecture diagrams with Azure icons (use drawio), WAF/cost charts (use python-diagrams), Draw.io diagrams (use drawio).
Python diagram generation: WAF/cost/compliance charts (matplotlib), architecture diagrams (diagrams library), ERDs, swimlanes, timelines, wireframes (graphviz). USE FOR: WAF bar charts, cost donut/projection charts, compliance gap charts, Python architecture diagrams, ERD diagrams, business process flows, timeline/Gantt charts, UI wireframes. DO NOT USE FOR: Draw.io architecture diagrams (use drawio), inline Mermaid (use mermaid), Excalidraw whiteboarding (use excalidraw).
Query and analyze data in Azure Data Explorer (Kusto/ADX) using KQL for log analytics, telemetry, and time series analysis. WHEN: KQL queries, Kusto database queries, Azure Data Explorer, ADX clusters, log analytics, time series data, IoT telemetry, anomaly detection.
Machine-readable workflow DAG for the multi-step agent pipeline. Defines node types, edge conditions, gates, and fan-out patterns. USE FOR: Orchestrator step routing, resume-from-graph, workflow validation. DO NOT USE FOR: Azure infrastructure, code generation, troubleshooting.
Artifact template structures, H2 compliance rules, and documentation styling for agent outputs (Steps 1-7). USE FOR: generating any agent artifact, checking H2 structure compliance. DO NOT USE FOR: Azure resource configuration (use azure-defaults), Bicep/Terraform patterns (use bicep-patterns or terraform-patterns).
Creates Azure Architecture Decision Records with WAF mapping, alternatives, and consequences. USE FOR: ADR creation, architecture decisions, trade-off analysis, WAF pillar justification. DO NOT USE FOR: Bicep/Terraform code generation, diagram creation, cost estimates.
Maintains repository documentation accuracy and freshness; use for doc updates, agent or skill changes, staleness checks, changelog entries, and repo explanation requests.
Discover existing Azure resources and bulk import them into Terraform management. USE FOR: import Azure resources, bring unmanaged infra under Terraform, audit Azure resources, migrate to IaC, terraform import, bulk import. WHEN: import existing resources, discover Azure infrastructure, adopt Terraform for existing resources, generate import blocks. DO NOT USE FOR: Bicep code, new resource creation, architecture decisions.