coord-ops
Invoke COORD_OPS for releases, documentation, and CI/CD operations
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Invoke COORD_OPS for releases, documentation, and CI/CD operations
Parallel operational readiness validation using G-3 OPERATIONS. Deploy 6 probes to validate workflow readiness before execution.
Validate release readiness through comprehensive pre-deployment checks. Use before deploying schedules, features, or infrastructure changes to production.
Plan and create GitHub Issues with agile/scrum methodology. Analyze requirements, identify parallel work, manage dependencies, and suggest git worktree strategies. Use PROACTIVELY when creating tickets, plannin...
Generate and analyze test coverage reports. Use to identify coverage gaps, track coverage trends, and ensure quality thresholds are met.
Create new PAI agents using AGENT_FACTORY.md patterns. Guides through archetype selection (Researcher, Validator, Generator, Critic, Synthesizer), validates against CONSTITUTION.md, and generates agent specific...
Pull request review expertise with focus on context, quality gates, and team standards. Use when reviewing PRs, validating changes before merge, or generating PR descriptions. Works with gh CLI for GitHub integ...
Comprehensive stack health audit for codebase and infrastructure. Runs 10 health checks covering frontend, backend, migrations, Docker, API integrity, and backup status. Use routinely to prevent "time loops" fr...
Automated IT helper for detecting and fixing code issues. Use when code fails tests, linting, type-checking, or has security vulnerabilities. Enforces strict quality gates before accepting fixes.
Systematic debugging skill for complex issues. Use when encountering bugs, test failures, or unexpected behavior. Enforces explore-plan-debug-fix workflow to prevent premature fixes.
Automatically generate user-friendly changelogs from git commit history. Use when preparing release notes, documenting changes for stakeholders, or creating app store descriptions.
Parallel validation deployment. Spawn 8+ QA agents to run tests, builds, lints, and health checks simultaneously. Zero marginal wall-clock cost.
Docker development and container orchestration expertise. Use when creating Dockerfiles, docker-compose configurations, debugging container issues, optimizing images, or setting up isolated development environm...
Proactive code health monitoring and quality gate enforcement. Use when validating code changes, reviewing PRs, or ensuring code meets quality standards before merging.
Troubleshoot agent & tool failures in scheduling orchestration. Use when MCP tools fail, agent communication breaks, constraint engines error, or database operations timeout. Provides systematic incident respon...
Test generation expertise for Python (pytest) and TypeScript (Jest). Use when writing new tests, improving coverage, or creating test fixtures. Ensures comprehensive coverage including edge cases, error scenari...
Reference for parallel agent deployment protocols (search-party, qa-party, plan-party)
Parallel metrics collection using G-6 SIGNAL. Deploy 6 probes to gather metrics from all sources for data-driven decisions.
Delta Live Tables (DLT) pipeline patterns and examples for building declarative, self-healing data pipelines with automatic quality enforcement and lineage tracking.
Modern deployment with Databricks Asset Bundles (DAB), supporting multi-environment configurations and CI/CD integration.
Unity Catalog governance patterns, permissions models, security best practices, and policy enforcement for enterprise data governance.
Data product design patterns with contracts, SLAs, and governance for building self-serve data platforms using Data Mesh principles.
GitHub Actions and CI/CD patterns for Databricks, including automated testing, deployment, and quality gates.
Assess and improve repository AI coding proficiency and context engineering maturity. Use when users ask about: (1) AI readiness or AI maturity assessment, (2) context engineering quality or improvement, (3) CL...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.