Find the perfect capability for your agent.
State-of-the-art debugging agent with hypothesis-driven analysis, automatic code instrumentation, git worktree isolation, and browser automation. Use when debugging errors, stack traces, unexpected behavior, performance issues, failed tests, race conditions, or hard-to-reproduce bugs.
Create AI-assisted code reviews on GitHub, GitLab, or Forgejo. Use when asked to review a PR/MR, analyze code changes, or provide review feedback.
Deploy Rails applications with Kamal (Docker + SSH). Use when: (1) Creating or modifying deploy.yml configuration, (2) Setting up new server deployments, (3) Configuring kamal-proxy, SSL, or accessories, (4) Writing deployment hooks, (5) Managing secrets with 1Password/Bitwarden/LastPass, (6) Troubleshooting deployment issues, (7) Setting up multi-server or multi-destination deployments.
Analyzes a codebase and prepares it for OtterStack deployment. Use when preparing docker-compose projects, checking OtterStack compatibility, scanning for environment variables, validating compose files, or setting up zero-downtime deployments. Triggers on "prepare for otterstack", "validate compose file", "check deployment readiness", or "scan env vars".
Detect technical debt patterns in code including duplication, complexity, and maintainability issues. Use at phase checkpoints or on-demand to assess code quality.
CI/CD pipeline design, GitHub Actions, and deployment automation. Auto-triggers when setting up pipelines, automating deployments, or configuring workflows.
Build software using isolated container-use environments with SpecKit workflow. Use when user needs to build a feature, application, or complex task that benefits from spec-driven development. Keywords: build, create, implement, feature, app, application, spec, plan, hermetic, isolated, dagger.
Run project verification checks using standard Makefile targets. Use when user says "verify pipeline", "check my work", "run tests", or "validate changes". Wraps `make verify-pipeline` (E2E), `make verify-analysis` (Logic), or `make verify-all`. Ensures environment constraints (e.g. Railway Shell) are met.
SAST/DAST/SCA automation, CI/CD security pipelines, vulnerability management
GitLab CE self-hosted deployment on Kubernetes. Use when installing, configuring, upgrading, or managing GitLab instances including runners, container registry, backups, and external database integration.
Use when user says 'release', 'リリース', 'deploy', 'publish', 'vtag', 'version up', 'バージョンアップ', or discusses merging to main/develop. Guides through version bump and release flow.
Git worktree management for parallel SPEC development with isolated workspaces, automatic registration, and seamless MoAI-ADK integration
Validates application readiness for Render/production deployment. Auto-runs when user mentions deployment. Prevents "works locally, fails in production" issues. Always run this BEFORE any deployment.
container-useを使用したクローズドな開発・テスト環境の構築手順、並行作業ガイドライン、技術スタック別設定例を提供
Guides agents through SPEC-First TDD workflow with context engineering, TRUST principles, and @TAG traceability. Essential for /alfred:1-plan, /alfred:2-run, /alfred:3-sync commands. Covers EARS requirements, JIT context loading, TDD RED-GREEN-REFACTOR cycle, and TAG chain validation.
Evaluates whether a programming language dependency should be used by analyzing maintenance activity, security posture, community health, documentation quality, dependency footprint, production adoption, license compatibility, API stability, and funding sustainability. Use when users ask "should I use X or Y?", "are there better options for [feature]?", "what's a good library for [task]?", "how do we feel about [dependency]?", or when considering adding a new dependency, evaluating an existing dependency, or comparing/evaluating package alternatives.
Evaluate pull request changes against Lime's Change Management risk assessment criteria. Use when asked to assess risk of a PR or branch.
Independent verification agent for Ontology Builder Pipeline. Cross-validates outputs against inputs, checks traceability, validates constraints, and identifies issues. Use as a separate agent to verify pipeline outputs.
