DevOps & Infra

richkuo Skill

Use when the user wants to review or revise the ordering/model/effort/fableplan/plan-effort assignments on a milestone's GitHub issues — "review the execution plan", "/execution-plan-review", "show me the model assignments", or piecemeal revisions like "11 should be medium" or "plan 17 at xhigh". Renders the assignment table from the issues' Execution blocks, validates revisions, and writes them back. Stage 5 of the new-app-pipeline.

shawnclybor Skill

Runs John Boyd's OODA decision cycle as a working protocol on a task the user has explicitly asked to work that way. Requires an Orientation Block — the current model of the situation, what changed since the last cycle, and what evidence would falsify it — before any decision is committed, then returns to Observe after acting. Reasons through a structured-thinking tool, one pass per phase. Invoke only on explicit request — "run OODA", "OODA this", "/ooda", "use the OODA loop", "give this a method" — or when the user opens a long multi-stage piece of work and asks for a method to run it. This skill does not select itself; if it was not asked for, it does not run. For a failure that already happened use five-whys. For pre-deploy robustness review use chaos-engineer.

shawnclybor Skill

Build, package, and ship a Cowork plugin (`.plugin`) from one or more skills. Covers plugin structure and packaging (zip from inside the plugin dir so `.claude-plugin/plugin.json` sits at the archive root), the mandatory version bump on every rebuild, backing up the prior bundle, the 1024-char SKILL.md description cap, presenting via sandbox paths, marketplace registration, and how PreToolUse hooks behave in Cowork — they fire and hard-block on Bash and Write on both local and cloud, but fail open when the hook script crashes, so the real gate stays in the skill's own script, never only in a hook. Use when creating a new plugin, adding a skill to one, rebuilding or repackaging, wiring a plugin hook, registering in the marketplace, or presenting a `.plugin` for install. Triggers — "build a plugin", "package this as a plugin", "add a hook to the plugin", "rebuild the plugin", "bump the plugin version", "ship a plugin".

ferocknew Bundle

当用户要求"查询 Nexus3"、"操作 Nexus 私服"、"列出仓库组件"、"删除 docker 镜像指定 tag"、"删除 npm/pypi/maven 组件"、"清理 Nexus3 仓库组件"、"批量删除旧版本"时使用此 skill。通过 REST API（Basic Auth）操作 Nexus3，所有删除默认预览、--yes 才真正执行。

dtsong Bundle

Use when working with dbt (data build tool) - creating models, writing tests, CI/CD pipelines, materializations, sources, staging/intermediate/marts layers, Snowflake/BigQuery warehouse configuration, incremental strategies, Jinja macros, data quality, semantic layer, or making analytics engineering decisions

dtsong Bundle

Language and project convention references for Python, TypeScript, and Terraform. Use when setting up new projects, reviewing code conventions, or ensuring consistency. Covers tooling, configs, patterns, testing, and project structure.

tricentis Skill

Run a Tosca playlist and wait for results

tricentis Skill

Search for assets or playlists in Tosca Cloud

tricentis Bundle

Automates Tosca Cloud via toscactl (default) and tn for CLI gaps. Use for Tosca Cloud CLI, toscactl commands, or tn --loop for Builder/DI/mobile gaps. Does NOT cover on-prem Commander (use Commander CLI pack in this repository — ../../../../../Commander/CLI/README.md).

tricentis Skill

Log in to Tosca Cloud, detecting configured URL from current config or prompting for one

tricentis Skill

Set up toscactl authentication and workspace selection

tricentis Skill

List, view, shut down, or delete execution agents in Tosca Cloud

tricentis Skill

View playlist details, run results, or run history in Tosca Cloud

tricentis Skill

List, view, create, and manage test data sets in Tosca Cloud

tricentis Skill

View test steps, logs, or JUnit results for a test case execution

tricentis Bundle

Automates Tosca Cloud via the cloud MCP server — inventory search, playlists, execution runs, Builder test cases, and Data Integrity. Use for Tosca Cloud automation, /tosca-cloud-mcp, hosted Tosca Cloud MCP, or when Tosca Cloud MCP tools connect. Does NOT cover tester journey workflows (see AGENTS.md journey skills).

tricentis Bundle

Explains how to work with Tricentis Tosca Cloud through toscactl: workspaces, assets, playlists, runs, and the core command loop. Use as foundation before other Tosca Cloud skills. Builder/DI/mobile gaps use tn — see runtime-routing.md. Does NOT cover detailed DI orchestration (use tosca-cloud).

tricentis Skill

Use when the user mentions Tosca, toscactl, test automation, playlists, test cases, modules, workspaces, or any Tricentis Tosca Cloud concepts. Provides the full toscactl CLI reference for answering questions and using the tool correctly.

tricentis Bundle

Explains how to work with Tricentis Tosca Cloud through the Tosca Cloud MCP: the cloud object model (spaces, artifacts, playlists, runs), entity identifiers, and the core tool loop for searching inventory, running playlists, and using Builder. Use as the foundation before any other Tosca Cloud skill, or when unsure which MCP tool to call or how to resolve an artifact. Does NOT cover detailed tool orchestration or Data Integrity workflows (use tosca-cloud-mcp).

tricentis Skill

Connects toscactl to Tosca Cloud — login, workspace selection, and connectivity check. Use when setting up toscactl, fixing auth errors, or before any other Tosca Cloud skill. For tn gap workflows only, also run configure_tn_connection.py. Does NOT cover direct IDE MCP.

tricentis Bundle

Verifies hosted Tosca Cloud MCP connectivity and routes to the right Cloud skills. Use when the user is setting up Cloud MCP, fixing 401 errors, or before other Tosca Cloud skills. Does NOT configure MCP servers — the user adds their tenant in IDE Settings -> MCP.

tricentis Skill

Export a data set to CSV, Excel, or JSON from Tosca Cloud

tricentis Skill

Import a CSV, Excel, or JSON file as a new data set in Tosca Cloud

tricentis Skill

Create a new playlist in Tosca Cloud

tricentis Skill

Delete a playlist in Tosca Cloud

tricentis Skill

Create a new workspace in Tosca Cloud

tricentis Skill

Delete a workspace in Tosca Cloud

tricentis Bundle

Explains what a Tosca Cloud test case does in plain language by reading its structure from inventory and Builder. Use when the user asks what a test case covers, how it works, or wants a walkthrough. Read-only. Does NOT cover execution failure diagnosis (use tosca-analyzing-execution-results).

tricentis Bundle

Applies fixes to Tosca Cloud test artifacts after failure analysis. Verify via toscactl; mutations via tn (Builder/playlist-item CLI gaps). Requires user approval for destructive changes. Does NOT cover read-only analysis (use tosca-analyzing-execution-results).

i-onlabs Skill

Product requirements to user stories pipeline stage (PM → Spec)

i-onlabs Skill

TDD-driven implementation pipeline stage (Design → Code)

i-onlabs Skill

Architecture design and ADR creation pipeline stage (Spec → Design)

i-onlabs Skill

Comprehensive testing and quality verification pipeline stage (Code → Verified)

h1d3r Skill

Change infrastructure, CI/CD, containers, cloud resources, and deployment workflows with rollback and security controls.

nemagu Bundle

Используй при создании или правке .gitlab-ci.yml для Python-сервисов на uv (DDD/CQRS-бэкенды). Триггеры — добавление/изменение джоб lint, test (unit и integration), build образа; настройка кэша uv, стадий, workflow.rules; авто-отмена устаревших пайплайнов при новом push'е (`workflow.auto_cancel.on_new_commit` + `interruptible`); сборка docker-образа в CI (Kaniko, теги по ветке, registry mirror); подключение отчётов (JUnit, coverage, code quality) и security-гейтов (bandit, pip-audit, trivy); деплой в Docker Swarm через SSH с обновлением существующего стека на сервере (`docker stack deploy` поверх compose на хосте, deploy token для registry, environments и manual-gate для prod). Не применять для написания самих тестов — для этого есть python-pytest-testing.

nemagu Bundle

Используй при создании, изменении и ревью Dockerfile, Docker ENTRYPOINT/CMD и контейнерного запуска Python-сервиса с одним или несколькими процессами. Скил унифицирует выбор Python entrypoint-модулей, способ запуска из установленного окружения, передачу аргументов, сигналов и кодов завершения, непривилегированного пользователя, сборку зависимостей и process-specific healthcheck. Не применять для внутреннего устройства FastAPI, фонового runtime, consumer/publisher или application-логики.