CI/CD
持续集成与部署
crash-recovery
OmniNode-ai
Show recent pipeline state to orient after an unexpected session end or crash
pr-polish
OmniNode-ai
Full PR readiness loop — resolve merge conflicts, address all review comments and CI failures, then iterate local-review until N consecutive clean passes
auto-merge
OmniNode-ai
Merge a GitHub PR when all gates pass; uses Slack HIGH_RISK gate by default
executing-plans
OmniNode-ai
Use when partner provides a complete implementation plan to execute — reviews the plan critically, verifies live PR state against plan assumptions, creates Linear tickets via plan-to-tickets, then routes to epic-team (≥3 tickets) or ticket-pipeline (1-2 tickets)
decision-store
OmniNode-ai
Record, query, and conflict-check architectural and design decisions across the OmniNode platform
release-manager
daffy0208
Ship features safely with progressive rollouts, feature flags, and canary deployments. Use when deploying risky features or need gradual rollouts.
Deployment Advisor
daffy0208
Choose deployment strategy and infrastructure. Use when deciding where to deploy applications, setting up CI/CD, or configuring production environments. Covers Vercel, Railway, AWS, Cloudflare Workers, and Docker.
pipeline
ElliotJLT
Orchestration pattern for sequential, dependent tasks. When work must flow through stages where each stage depends on the previous (design → implement → test → review), structure as a pipeline with explicit handoffs. Each stage completes before the next begins.
data-catchall
Chipagosfinest
Data: data engineering, analytics, ETL, QA, testing. Triggers: data pipeline, etl, data warehouse, analytics, dashboard, metrics, kpi, testing, test automation, qa, quality assurance, ci/cd testing, data science.
e2e-testing
joabgonzalez
"End-to-end testing patterns and best practices. Trigger: When writing or reviewing E2E tests for any layer."
build-quality-gates
Zpankz
Systematic methodology for implementing comprehensive build quality gates using BAIME framework. Achieved 98% error coverage with 17.4s detection time, reducing CI failures from 40% to 5%. Validated Results: - V_instance: 0.47 → 0.876 (+86%) - V_meta: 0.525 → 0.933 (+78%) - Error Coverage: 30% → 98% (+227%) - CI Failure Rate: 40% → 5% (-87.5%) - Detection Time: 480s → 17.4s (-96.4%)
Cross-Cutting Concerns
Zpankz
Systematic methodology for standardizing cross-cutting concerns (error handling, logging, configuration) through pattern extraction, convention definition, automated enforcement, and CI integration. Use when codebase has inconsistent error handling, ad-hoc logging, scattered configuration, need automated compliance enforcement, or preparing for team scaling. Provides 5 universal principles (detect before standardize, prioritize by value, infrastructure enables scale, context is king, automate enforcement), file tier prioritization framework (ROI-based classification), pattern extraction workflow, convention selection process, linter development guide. Validated with 60-75% faster error diagnosis (rich context), 16.7x ROI for high-value files, 80-90% transferability across languages (Go, Python, JavaScript, Rust). Three concerns addressed: error handling (sentinel errors, context preservation, wrapping), logging (structured logging, log levels), configuration (centralized config, validation, environment variables).
generate-github-workflow
nesnilnehc
"GitHub Actions YAML with embedded output contract: security-first, minimal permissions, version pinning. For CI, release, PR checks. Differs from generic templates by spec compliance and auditability."
evm-deployment
sablier-labs
Deploy Sablier EVM contracts (Comptroller, ERC20 Faucet, Flow, Lockup, Airdrops) with full workflow automation. This skill should be used when the user asks to "deploy", "deploy protocol", "deploy to chain", or mentions deployment-related tasks. Handles contract deployment, explorer verification, SDK updates, and sample data creation through Init script.
CI/CD Optimization
Zpankz
Comprehensive CI/CD pipeline methodology with quality gates, release automation, smoke testing, observability, and performance tracking. Use when setting up CI/CD from scratch, build time over 5 minutes, no automated quality gates, manual release process, lack of pipeline observability, or broken releases reaching production. Provides 5 quality gate categories (coverage threshold 75-80%, lint blocking, CHANGELOG validation, build verification, test pass rate), release automation with conventional commits and automatic CHANGELOG generation, 25 smoke tests across execution/consistency/structure categories, CI observability with metrics tracking and regression detection, performance optimization including native-only testing for Go cross-compilation. Validated in meta-cc with 91.7% pattern validation rate (11/12 patterns), 2.5-3.5x estimated speedup, GitHub Actions native with 70-80% transferability to GitLab CI and Jenkins.
dataverse-plugins
DanielKerridge
Use when developing, registering, or deploying Dataverse plugins (C# server-side extensions). Covers the IPlugin interface, execution pipeline stages, entity images, common patterns (auto-numbering, cascading updates, validation), and registration/deployment. Triggers on: "plugin", "server-side logic", "business logic", "auto-number", "cascading update", "pre-operation", "post-operation", "plugin registration", "IPlugin", "execution pipeline", "plugin trace", "InvalidPluginExecutionException", "PreValidation", "PostOperation".
caching-strategy-optimizer
patricio0312rev
Optimizes CI/CD pipeline speed by implementing effective caching for dependencies, Docker layers, build outputs, and test results. Provides before/after performance metrics and best practices. Use for "CI caching", "pipeline optimization", "build speed", or "cache strategy".
github-actions-pipeline-creator
patricio0312rev
Creates comprehensive GitHub Actions CI/CD workflows for linting, testing, building, and deploying. Includes caching strategies, matrix builds, artifact handling, and failure diagnostics. Use for "GitHub Actions", "CI pipeline", "workflow automation", or "continuous integration".
monorepo-ci-optimizer
patricio0312rev
Optimizes CI pipelines for monorepos by detecting affected packages/apps and running only necessary builds and tests. Includes Turborepo/Nx strategies, caching, and parallel execution. Use for "monorepo CI", "affected detection", "incremental builds", or "workspace optimization".
renewal-manager
ncklrs
Expert renewal management guidance for maximizing retention and expansion revenue. Use when building renewal playbooks, forecasting renewal pipeline, structuring multi-year deals, developing pricing strategies, mitigating churn risk, defending against competitive displacement, negotiating contracts, attaching expansion to renewals, or optimizing renewal operations. Covers high-touch and tech-touch renewal motions, early renewal strategies, and save plays.
aeon
ovachiever
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
deploy-docs
ratacat
Validate and prepare documentation for GitHub Pages deployment
deployment-verification-agent
ratacat
"Use this agent when a PR touches production data, migrations, or any behavior that could silently discard or duplicate records. Produces a concrete pre/post-deploy checklist with SQL verification queries, rollback procedures, and monitoring plans. Essential for risky data changes where you need a Go/No-Go decision. <example>Context: The user has a PR that modifies how emails are classified. user: \"This PR changes the classification logic, can you create a deployment checklist?\" assistant: \"I'll use the deployment-verification-agent to create a Go/No-Go checklist with verification queries\" <commentary>Since the PR affects production data behavior, use deployment-verification-agent to create concrete verification and rollback plans.</commentary></example> <example>Context: The user is deploying a migration that backfills data. user: \"We're about to deploy the user status backfill\" assistant: \"Let me create a deployment verification checklist with pre/post-deploy checks\" <commentary>Backfills are high-risk de..."
magento-deployment-engineer
maxnorm
Designs and implements CI/CD pipelines and automated deployments for Magento 2. Use when setting up deployment pipelines, automating deployments, managing infrastructure, or implementing DevOps practices. Masters containerization, orchestration, and scalable deployment strategies.