project-discovery
Activate when analyzing codebases to understand project structure, technology stack, dependencies, and development workflows
Discover data ai automation tools skills, compare source repositories and read the instructions for each workflow.
Activate when analyzing codebases to understand project structure, technology stack, dependencies, and development workflows
Automated git workflow management for Vigil Guard v2.0.0. Use for Conventional Commits formatting, CHANGELOG generation, commit validation, pre-commit hooks, release versioning, and semantic commits. CRITICAL -...
Automated test fixture generation for Vigil Guard's 8-file test suite. Use for TDD workflow, malicious/benign payload creation, 3-branch detection testing, bypass scenario testing, and maintaining test coverage...
Automated documentation maintenance for Vigil Guard v2.0.0's documentation files. Use for syncing docs with code changes, version updates, API generation, cross-reference validation, 3-branch architecture docs,...
Two-phase workflow to keep project documentation synchronized with code changes
Safe refactoring workflow for replacing old types with new type-safe implementations through integration-test-first, file-by-file migration with incremental verification
写作过程中自动检查角色行为、世界规则和时间线一致性,在问题成为严重错误前主动提醒
Grep the workspace for a pattern using file_search.
Turn "AI draft -> author edits" diffs into structured deviation items, an author-intent prompt, and a concrete propagation plan.
Manage rewrite branches: when to branch, how to compare, and how to merge back with minimal chaos.
Manage stacked Git branches with Stackit. Use when creating/managing stacked branches, submitting PRs for branch stacks, navigating branch trees, rebasing stacks, syncing with main/trunk, troubleshooting stack...
Systematic code refactoring following Martin Fowler's catalog. Methodologies: characterization tests, Red-Green-Refactor, incremental transformation. Capabilities: SOLID compliance, DRY cleanup, code smell dete...
CLAUDE.md file generation and optimization for Claude Code projects. Capabilities: initialize project instructions, analyze codebase context, optimize existing CLAUDE.md, apply Anthropic best practices, reduce...
Google Gemini CLI orchestration for AI-assisted development. Capabilities: second opinion/cross-validation, real-time web search (Google Search), codebase architecture analysis, parallel code generation, code r...
Repository packaging for AI/LLM analysis. Capabilities: pack repos into single files, generate AI-friendly context, codebase snapshots, security audit prep, filter/exclude patterns, token counting, multiple out...
Git workflow management with atomic commit principles. Capabilities: commit organization, branching strategies, merge/rebase workflows, PR management, history cleanup, staged change analysis, single-responsibil...
Mise development environment manager (asdf + direnv + make replacement). Capabilities: tool version management (node, python, go, ruby, rust), environment variables, task runners, project-local configs. Actions...
Use when preparing code for review or responding to review feedback
Use when code changes need multi-pass automated review before merge
Guide for GitHub Actions workflows, test orchestration, parallel testing, adapter builds, releases, and CI/CD configuration. Use when working with .github/workflows/, versions.json, or troubleshooting CI issues...
Systematic code review workflows with bundled utilities for analyzing code quality, detecting patterns, and providing structured feedback. Use this skill when reviewing pull requests or conducting code audits.
Migrate Spring Boot projects to version 4.0 with Java 25, including Spring Modulith 2.0 and Testcontainers 2.x upgrades. Use when user requests upgrading Spring Boot, migrating to Java 25, updating dependencies...
Pull Request作成・更新時に使用。タイトルと説明文を自動生成・更新する。
Guide for generating code from design specifications using MUSUBIX. Use this when asked to generate code, implement features, or create components following design documents.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.