Build modern documentation websites with Docusaurus. Covers docs, blog, pages, versioning, i18n, search integration, and deployment patterns. React-based with MDX support for interactive documentation.
原文の言語: 英語
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このリポジトリの skills
SkillsMP は vamseeachanta/workspace-hub から 3,441 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
vamseeachanta/workspace-hub収集済み skill 3,441 件中 40 件を表示しています。
Build modern documentation websites with Docusaurus. Covers docs, blog, pages, versioning, i18n, search integration, and deployment patterns. React-based with MDX support for interactive documentation.
原文の言語: 英語
Publish documentation and books with GitBook including spaces, collections, variants, Git sync, collaboration, and API integration
原文の言語: 英語
Create professional Markdown-based slide presentations with Marp. Covers themes, directives, speaker notes, presenter view, and export to PDF, HTML, and PPTX formats. Includes VS Code integration, CLI usage, and CI/CD automation.
原文の言語: 英語
Universal document converter for transforming Markdown to PDF, DOCX, HTML, LaTeX, and 40+ other formats. Covers templates, filters, citations with BibTeX/CSL, and batch conversion automation scripts.
原文の言語: 英語
Generate comprehensive Python documentation with Sphinx. Covers autodoc for API extraction, Napoleon for Google/NumPy docstrings, intersphinx for cross-references, and multiple output formats including HTML, PDF, and ePub.
原文の言語: 英語
Create distinctive, production-grade frontend interfaces with expert-level UX design. Use when building SaaS dashboards, landing pages, marketing sites, React/Vue components, HTML/CSS layouts, or any web UI. Combines bold aesthetic direction with systematic…
原文の言語: 英語
Generate engineering analysis reports with interactive Plotly visualizations, standard report sections, and HTML export. Use for creating dashboards, analysis summaries, and technical documentation with charts.
原文の言語: 英語
Create multiple related GitHub issues safely by resolving full OWNER/REPO, checking duplicates and labels first, and verifying each created issue.
原文の言語: 英語
Use git worktrees for parallel Codex workflows. Run multiple Codex instances on different features simultaneously without merge conflicts. Use for parallel development, multi-branch testing, and subagent workflows.
原文の言語: 英語
Practical GitHub code review workflow with local diff inspection, PR review, inline comments, approval/request-changes decisions, and optional multi-agent review overlays.
原文の言語: 英語
Intelligent issue management and project coordination with automated tracking, progress monitoring, and team coordination. Use for issue creation with smart templates, progress tracking with swarm coordination, multi-agent collaboration, and cross-repository…
原文の言語: 英語
Comprehensive GitHub integration modes for workflow orchestration, PR management, and repository coordination. Use for GitHub CLI operations, automated workflows, PR reviews, issue tracking, release management, and CI/CD coordination.
原文の言語: 英語
Cross-repository swarm orchestration for organization-wide automation and intelligent collaboration. Use for multi-repo coordination, synchronized operations, dependency management, and organization-wide policy changes.
原文の言語: 英語
Comprehensive pull request management with swarm coordination for automated reviews, testing, and merge workflows. Use for PR lifecycle management, multi-reviewer coordination, conflict resolution, and intelligent branch management.
原文の言語: 英語
Synchronize AI swarms with GitHub Projects for visual task management and progress tracking. Use for project board automation, task synchronization, sprint management, and team coordination with GitHub Projects.
原文の言語: 英語
Automated release coordination and deployment with swarm orchestration for seamless version management, testing, and deployment across multiple packages. Use for release pipelines, version coordination, deployment orchestration, and release documentation.
原文の言語: 英語
Orchestrate complex software releases using AI swarms that handle everything from changelog generation to multi-platform deployment. Use for release planning, automated versioning, artifact building, progressive deployment, and multi-repo releases.
原文の言語: 英語
Repository structure optimization and multi-repo management with swarm coordination for scalable project architecture and development workflows. Use for structure analysis, template management, cross-repo synchronization, and architecture recommendations.
原文の言語: 英語
GitHub issue-based swarm coordination for intelligent task decomposition and progress tracking. Use for transforming issues into multi-agent tasks, automated triage, task breakdown, and issue lifecycle management.
原文の言語: 英語
Pull request swarm management for multi-agent code review and validation. Use for coordinated PR reviews, automated validation, PR-based swarm creation, and intelligent merge workflows.
原文の言語: 英語
Multi-repository synchronization coordinator for version alignment, dependency sync, and cross-package integration. Use for package synchronization, version management, documentation alignment, and coordinated releases across multiple repositories.
原文の言語: 英語
GitHub Actions workflow automation for intelligent CI/CD pipelines with adaptive optimization. Use for workflow creation, pipeline optimization, security scanning, failure analysis, and automated deployment strategies.
原文の言語: 英語
Gitignore pattern setup and directory scaffolding — covers negation patterns, .gitkeep tracking, and git check-ignore verification workflows
原文の言語: 英語
Visual + structural verification of HTML benchmark/validation reports using the Codex-in-Chrome extension. Opens the report in a browser, takes screenshots, checks key DOM elements, and produces a PASS/FAIL verdict. Generic by default; module-specific check…
原文の言語: 英語
A robust workflow for handling a batch of related investigative tasks that require file system research, documentation, and version control.
原文の言語: 英語
Break a large umbrella GitHub issue into a layered tree of focused follow-on issues using read-only subagent analysis, then create the issues locally and update docs/parent issue with the issue map.
原文の言語: 英語
Guide for building high-quality Model Context Protocol (MCP) servers that allow LLMs to interact with external services. Use when creating new MCP integrations, tools, or servers for Codex or other AI systems.
原文の言語: 英語
Process multiple files in parallel with aggregation and progress tracking. Use for batch file operations, directory scanning, ZIP handling, and parallel data processing with 2-3x performance improvement.
原文の言語: 英語
Diagnose and fix false negatives caused by `grep -q` short-circuiting upstream producers under `set -euo pipefail`.
原文の言語: 英語
Code-centric Goal-Oriented Action Planning integrated with SPARC methodology. Use for feature implementation planning, performance optimization goals, testing strategy development, or any software development objective requiring systematic breakdown with…
原文の言語: 英語
Goal-Oriented Action Planning (GOAP) specialist that dynamically creates intelligent plans to achieve complex objectives. Use for multi-step tasks with dependencies, adaptive replanning, complex deployment workflows, or when a high-level goal needs systematic…
原文の言語: 英語
Customize or personalize a Codex plugin for a specific organization's tools and workflows by replacing placeholders and configuring MCP servers.
原文の言語: 英語
Keep semantic-diff taxonomy summaries consistent with evidence tables when adding richer categories to legacy comparison/reporting pipelines.
原文の言語: 英語
Harden Bash automation scripts with TDD-first static and behavioral checks, safe Python invocation via uv, locking, persistent state, and review-driven correction loops.
原文の言語: 英語
Shell-based TDD test harness patterns — pass/fail counters, common assertions, set -e gotchas, and exit code conventions for bash test scripts
原文の言語: 英語
Evaluate all workspace-hub skills for structural validity, content quality, cross-reference integrity, and registry consistency. Runs 18 checks across critical, warning, and info severity levels with actionable fix suggestions.
原文の言語: 英語
SPARC Architecture phase specialist for system design, component architecture, interface design, scalability planning, and technology selection
原文の言語: 英語
SPARC Pseudocode phase specialist for algorithm design, data structure selection, complexity analysis, and design pattern identification
原文の言語: 英語
SPARC Refinement phase specialist for iterative improvement through TDD, code optimization, refactoring, performance tuning, and quality improvement
原文の言語: 英語
SPARC Specification phase specialist for requirements analysis, constraint identification, use case definition, and acceptance criteria creation
原文の言語: 英語