DevOps & Infra

tuyenht Skill

Chuyên gia Terraform: quy trình Infrastructure as Code (IaC) và đám mây tích hợp.

tuyenht Skill

Kiến trúc AI/ML Pipeline: training workflows, model serving, vector databases và LLM integration.

fr-e-d Skill

Counts Q&A skip events from the abort-safe-handler and qa-loop-ui outputs. Shows an optional skip-reason dropdown when a user-initiated skip occurred. Produces a structured skip_metrics_record suitable for PostHog ingestion. Used in Stage 4 of the /gaai:bootstrap pipeline after abort-safe-handler returns.

fr-e-d Skill

Update or redeploy the local GAAI OSS framework and Codex adapter without invoking GAAI Cloud behavior.

fr-e-d Skill

Construct the LLM synthesis prompt from project surface scan + optional tree-sitter context + optional Q&A answers. Call the LLM. Parse and validate the response into 6-8 structured memory entries with clarity tags and source traceability. Used as Stage 3 of the /gaai:bootstrap pipeline.

hk-vk Bundle

Base is a fast, low-cost Ethereum L2 for building global onchain apps; start here to deploy, connect, and operate reliably.

treasure-data Bundle

Manages Composable Audience Studio (CAS) zero-copy audiences using `tdx cas` commands — audiences that query customer Cloud Data Warehouses (Snowflake, Databricks, BigQuery) directly instead of copying data into Treasure Data. Covers audience/attribute/behavior YAML, the composable segment rule DSL (distinct from standard `tdx sg` rules), connection resolution per CDW platform, and push safety (idempotent create/update, drift detection, `--delete` for both audience attribute/behavior drift and single-named-target child segment deletion). Use when creating, updating, or deleting composable parent segments, composable child segments, or composable activations, or when a task mentions zero-copy, Snowflake/Databricks/BigQuery audiences, or Composable Audience Studio.

fr-e-d Skill

Takes aggregated ambiguity insights from the LLM synthesis stage and produces ≤5 ranked questions to surface to the user. Applies a two-layer anti-fabrication filter (pre-LLM exclusion of score<3 insights + post-LLM structural strip) so that Q&A surfaces only genuine ambiguities. Used as Stage 4 of the /gaai:bootstrap pipeline.

tuyenht Skill

Quản trị máy chủ chuyên nghiệp, tối ưu tài nguyên, CI/CD và định tuyến luồng.

tuyenht Skill

Các mẫu triển khai Kubernetes chuẩn production, cấu hình mạng và quản lý container.

meaningfy-ws Bundle

Clean Architecture and Cosmic Python guidance for well-tested, layered Python systems. Use for designing Python projects with layered architecture (models, adapters, services, entrypoints), enforcing Clean Code and SOLID principles, testing strategies (unit tests, BDD, Gherkin), CI/CD setup (pytest, tox, importlinter), and architectural decision-making (ADRs). Applicable to systems requiring strict boundary enforcement, clean separation of concerns, and comprehensive test coverage.

treasure-data Skill

Core documentation generation patterns and framework for Treasure Data pipeline layers. Provides shared templates, quality validation, testing framework, and Confluence integration used by all layer-specific documentation skills.

treasure-data Bundle

Build agentic workflow pipelines using Graflow (Python). Use when the user asks to create, edit, or debug a Graflow workflow, agentic pipeline, or automated multi-step business process. Covers @task decorator, workflow composition (>> sequential, | parallel), Studio Agent integration with the ephemeral-per-task session pattern (MCP tools, state via channels), subprocess for CLI tools, dynamic branching (next_task, next_iteration), HITL approval flows, and manifest.yml triggers and permissions.allow configuration. Also trigger on mentions of Graflow, agentic workflow, task graph, workflow.py, multi-step automation, CS health check, SDR sequence, or any request combining deterministic logic with AI decision points. For digdag/TD Workflow, see the digdag skill. For scheduled tasks with TASK.md, see the schedule-task skill.

treasure-data Bundle

Write .dig workflow files for Treasure Workflow. Covers creating new workflows (create_workflow MCP tool), importing existing workflows (register_workflow), digdag YAML syntax, td> operator, built-in variables, _parallel/_retry/_error directives, and TD platform constraints. Use when creating, editing, or deploying TD workflows. Also trigger on mentions of digdag, .dig files, td> operator, workflow scheduling, or any request to build a new data ETL pipeline on Treasure Data. For workflows with LLM processing or Slack/email notification, see the llm-workflow skill.

meaningfy-ws Bundle

Scaffold or modernise a Meaningfy-standard repo and PROJECT the Meaningfy spine into it — a top-level package (no src/), Poetry + dedicated root tool configs, cosmic-python layering with import-linter guardrails, TDD+BDD tests, a CLAUDE-canonical agentic setup (CLAUDE.md is canonical; AGENTS.md is an optional symlink), the openspec/ spine (config + pinned meaningfy schema + /opsx:* commands + golden thread), three archetypes (product/library/doc-only) with fixed gate profiles, conditional model/ and CD seam, Antora docs, infra, and CI. Use when starting a new repo or bringing an existing one up to standard. Trigger on "set up a new project", "scaffold a repo", "bootstrap a Python project", "new Meaningfy project", "initialise project structure", "add the standard tooling/docs/CI", "project the spine / set up openspec", "modernise/revamp an existing repo", "bring this project up to standard", "gap analysis against Meaningfy standards".

meaningfy-ws Bundle

Standardise the application-repo Continuous Delivery side of Meaningfy systems — the deploy trigger, the reusable deploy mechanism, and the release/image standard. Use to set up a CD/deploy workflow, release and push a versioned Docker image to a registry (recommended GHCR, tagged by semver + git sha), standardise or migrate the deploy trigger, kill the duplicated SSH/bastion/rsync/.env deploy block by consuming the canonical reusable workflow, or understand the three-repo deploy model. CI (build, test, lint, coverage, architecture, docs publish) is NOT here — that is owned by project-setup; this skill owns only CD + release + the delivery contract. Trigger on "set up CD / deploy workflow", "release and push a versioned image", "GHCR image build", "standardise the deploy trigger", "migrate the duplicated deploy block", "how do we deploy this repo".

zoom Bundle

Zoom Video SDK for Linux - C++ headless bots, raw audio/video capture/injection, Qt/GTK integration, Docker support

forgivesam168 Skill

Production deployment and launch management skill. Use when preparing to ship a feature to production: staged rollout planning, rollback plan design, production readiness checklists, launch go/no-go decisions, and post-launch monitoring setup. Triggers on: "deploy to production", "ship this feature", "launch plan", "rollout strategy", "rollback plan", "production checklist", "go-live", "staged rollout". Do NOT use for internal code finalization (use work-archiving), CI/CD pipeline design (use ci-cd-and-automation), or code review (use code-security-review).

forgivesam168 Skill

CI/CD pipeline design and automation quality gates. Use when designing or reviewing continuous integration pipelines, setting up quality gates, implementing Shift Left testing strategies, automating deployment workflows, or diagnosing slow/broken pipelines. Triggers on: "CI/CD", "pipeline design", "quality gate", "Shift Left", "automate deployment", "GitHub Actions", "pipeline slow", "build pipeline", "continuous integration", "continuous deployment". Do NOT use for production launch decisions (use shipping-and-launch), code review (use code-security-review), or infrastructure provisioning.

aki2022 Bundle

Guides the usage of the Gemini API on Agent Platform with the Google Gen AI SDK. Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI, Google Cloud, or Agent Platform. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like Live API, tools, multimedia generation, caching, and batch prediction.

aki2022 Bundle

Plan, create, and configure production-ready Google Kubernetes Engine (GKE) clusters using the golden path Autopilot configuration. Covers Day-0 checklist, Autopilot vs Standard, networking (private clusters, VPC-native, Gateway API), security (Workload Identity, Secret Manager, RBAC hardening), observability, scaling, cost optimization, and AI/ML inference. WHEN: create GKE cluster, provision GKE environment, design GKE networking, secure GKE, optimize GKE cost, GKE autoscaling, GKE inference, GKE upgrade, GKE observability, GKE multi-tenancy, GKE batch, GKE HPC, GKE compute class.

aki2022 Bundle

Manages Cloud Run services, jobs, and worker pools. Use when you need to deploy applications responding to HTTP requests (services), run event-triggered or scheduled tasks (jobs), or handle always-on pull-based background processing (worker pools).

aki2022 Bundle

This file generates or explains Cloud SQL resources. Use this file when the user asks to create a Cloud SQL instance or database for MySQL, PostgreSQL, or SQL Server. Cloud SQL manages third-party MySQL, PostgreSQL, and SQL Server instances as resources in Cloud SQL. For example, when Cloud SQL creates an open-source MySQL instance, the resulting resource is a Cloud SQL for MySQL instance that Google Cloud manages. Cloud SQL handles backups, high availability, and secure connectivity for relational database workloads.

charlesjones-dev Skill

Initialize Azure DevOps configuration in CLAUDE.md with organization, project, and team settings.

charlesjones-dev Skill

Guide for creating Azure DevOps work items (Features, User Stories, Tasks). This skill should be used when working with ADO MCP tools to create work items with proper hierarchy and formatting.

aki2022 Bundle

Maintain and bootstrap Obsidian project notes: safely sync explicitly selected meeting records, create a new project note from related records, backfill project YAML/backlinks, and audit project list consistency. Use for project-note organization or repair; recorder's automatic existing-project pipeline remains the default for newly recorded meetings.

charlesjones-dev Skill

Interactively create a new Task work item as a child of an existing User Story in Azure DevOps.

charlesjones-dev Skill

Interactively create a new User Story work item as a child of an existing Feature in Azure DevOps.

charlesjones-dev Skill

Diagnose a Swift / Xcode Cloud / TestFlight failure from a pasted red build log, an ITMS App Store rejection email, or a bare error code. Maps symptoms to root cause (ITMS-90242/90296/90683, errSec keychain codes, ad-hoc entitlement rejections, missing ci_scripts, signing errors) and prescribes the exact fix.

charlesjones-dev Skill

Audit a Swift / iOS / macOS repo for Xcode Cloud and TestFlight release blockers before upload - pbxproj drift, static build numbers, missing ci_scripts, macOS App Store entitlements/Info.plist, headless-CI keychain tests, ad-hoc signing entitlement rejections, and flaky-UITest release gating. Reports PASS/WARN/FAIL with file:line and fixes.

charlesjones-dev Skill

Interactively create a new Feature work item in Azure DevOps using configured conventions.

victory-hugo Bundle

编写或者修改代码至符合规范科研和数据处理的流水线(pipeline)。仅适用于科研、分析pipeline；不要用于普通单文件小工具、Web 前端、通用库开发或 Notebook 探索分析。

aki2022 Bundle

新しいリポジトリをGCP複数プロジェクト環境にimpersonation方式（鍵レス）で追加するセットアップスキル。 サービスアカウント作成・最小権限付与・mise.toml生成・per-repo ADC分離・ RAPT/ADC失効時の再認証復旧まで扱う。 以下のようなリクエストで必ず使うこと: - 「新しいリポジトリをGCPに繋げたい」 - 「effectuation_score を innovation-score プロジェクトでセットアップして」 - 「GCPの認証を設定して」「mise.toml を作って」 - 「impersonation でセットアップ」「鍵レスで設定」 - 「別プロジェクトのリポジトリに認証を追加」 - GCPプロジェクトIDとリポジトリ名が両方出てくるセットアップ文脈 - 「invalid_rapt を直したい」「ADC の再認証を復旧したい」 - 「mise run reauth が失敗する」「複数 repo の ADC が混線した」

aki2022 Skill

Generates reliability-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework. Use this skill to evaluate a workload, identify reliability requirements, and provide actionable recommendations for build, deploy, and manage the workload reliably in Google Cloud.

aki2022 Bundle

Guidance for a developer's first steps on Google Cloud, covering account creation, billing setup, project management, and deploying a first resource.

aki2022 Skill

Generates cost optimization guidance for Google Cloud workloads based on the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify cost requirements and constraints, and provide actionable recommendations for build, deploy, and manage the workload cost-efficiently in Google Cloud.