review
Comprehensive code review with parallel specialist sub-agents. Analyzes requirements traceability, code quality, security, performance, accessibility, test coverage, and technical debt. Produces detailed findin...
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Comprehensive code review with parallel specialist sub-agents. Analyzes requirements traceability, code quality, security, performance, accessibility, test coverage, and technical debt. Produces detailed findin...
Pre-implementation confidence assessment (≥90% required). Use before starting any implementation to verify readiness with duplicate check, architecture compliance, official docs verification, OSS references, an...
Pre-implementation confidence assessment (≥90% required). Use before starting any implementation to verify readiness with duplicate check, architecture compliance, official docs verification, OSS references, an...
Professional code review for quality, security, and best practices. Use when reviewing pull requests, code changes, or when asked to review code quality.
Use when you have a spec or requirements for a multi-step task, before touching code
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before as...
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before as...
Use when you have a spec or requirements for a multi-step task, before touching code
Initialize a new BDD-based CLI project from scratch with complete directory structure, Behave configuration, pyproject.toml, and template feature files. Use this skill when creating a new CLI application that w...
TigerStyle development workflow harness. Wraps development tasks in a state machine (GROUNDING → PLANNING → IMPLEMENTING → VERIFYING → COMPLETE) with vision alignment, decision logging, and verification. Use wh...
Provides the "how-to" for workflow / task execution orchestration. Defines methods for planning multi-phase task/workflows, implementing them through agent delegation, and managing artifacts.
Git workflow best practices for the career_ios_backend project. Automatically invoked when user mentions git operations, commits, pushes, or version control. Trigger keywords: "git", "commit", "push", "pull", "...
Set up deployment infrastructure for the project following aishift patterns
Deploy and test applications in Buddy Sandbox cloud environments. Use when user asks about "deploy app", "create sandbox", "test in cloud", "isolated environment", "remote environment", "run app in sandbox", or...
Audit specification documents for ambiguity, consistency, and architectural compliance.
Escalate spec changes or gaps to the Architect.
Self-hosted GitHub Actions runner management via Podman Quadlet. Supports multi-instance pools with ephemeral storage, automatic token generation, and rolling updates. Use when users need to set up CI/CD runner...
Development: Unified build system for OS images, pods, VMs, and ISOs. Run from repository root with 'just build '. Includes smart cache strategy that matches GitHub Actions for optimal build times.
JupyterLab ML/AI development environment management via Podman Quadlet. Supports multi-instance deployment, GPU acceleration (NVIDIA/AMD/Intel), token authentication, and per-instance configuration. Use when us...
Apptainer (Singularity) container management for HPC workloads. Build SIF images, run containers with GPU passthrough. Use when users need HPC-compatible containerization or need to pull/run Apptainer images.
Use this skill for release preparation and execution. Invoke when deploying to staging or production environments.
Use this skill to create Architecture Decision Records (ADRs). Invoke when making significant technical decisions that affect system architecture, technology choices, or design patterns.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。