Scaffold the Antithesis harness for customers running Kubernetes: Convert helm charts, kustomize templates, or raw Kubernetes manifests into a minimized set of manifests for Antithesis. Verify the Kubernetes manifests are in the correct shape with snouty validate and a local cluster deploy. Hands it off to antithesis-launch if the user wants to submit a run. At the end, the user is ready to run antithesis-workload to build tests. If the desired setup is docker-compose, defer to the antithesis-setup skill.

Turning research artifacts into actionable PM insight. Customer interviews, user research notes, support ticket reviews, sales call transcripts, survey data, in-app feedback, all synthesized into the decisions they are meant to inform. The discipline of moving from raw discovery data to clear product direction without losing signal in the synthesis or fabricating insight that was not actually there. Triggers on research synthesis, customer interview synthesis, user research analysis, discovery readout, research insights, sales call analysis, support ticket analysis, qualitative data analysis. Also triggers when a team has done research but cannot turn it into decisions, when synthesis is producing pretty decks but no roadmap movement, or when an upcoming PM decision needs to be grounded in research already conducted.

Use when updating the copilot-language-server version in the RStudio repository, e.g. bumping to a new release. This skill is for macOS and Linux only.

Choose and create the right Neon branch type for testing and development. Use when users ask about Neon branching, migration testing with real data, isolated test environments, schema-only branch workflows for sensitive data, resetting a branch from its parent, branch expiration and CI/CD branch lifecycles, or branch creation via Neon CLI or Neon MCP. Triggers include "Neon branch", "test migrations safely", "branch production data", "schema-only branch", "reset branch", "branch per PR" and "sensitive data testing".

Use when the user wants to estimate the download size + sync frequency cost of an offline profile BEFORE pushing to users. Read-only. Wraps verify-offline-profile.js with per-table row-count estimates.

Build or update a professional-grade design system in Figma from a codebase. Use when the user wants to create variables/tokens, build component libraries, create individual components with proper variant sets and variable bindings, set up theming (light/dark modes), document foundations, or reconcile gaps between code and Figma. Also use when the user asks to create or generate any component in Figma — even a single one — since components require proper variable foundations, variant states, and design token bindings to be production-quality. This skill teaches WHAT to build and in WHAT ORDER — it complements the `figma-use` skill which teaches HOW to call the Plugin API. Both skills should be loaded together.

Diagnose pod failures on OpenShift including CrashLoopBackOff, ImagePullBackOff, OOMKilled, and pending pods. Automates multi-step diagnosis: pod status, events, logs (current + previous), and resource constraint analysis. Use this skill when pods are not running, restarting frequently, or stuck in non-ready states. Triggers on /debug-pod command or phrases like "my pod is crashing", "pod won't start", "CrashLoopBackOff", "ImagePullBackOff", "OOMKilled".

Diagnose OpenShift service connectivity issues including DNS resolution, service endpoints, route ingress, and network policies. Automates multi-step diagnosis: service endpoint verification, pod selector matching, route status, and network policy analysis. Use this skill when services can't communicate, routes return 503/502 errors, or external access fails. Triggers on /debug-network command or phrases like "can't reach service", "route returning 503", "pods can't communicate", "no endpoints".

Use for "how does X work", code walkthroughs before changing something, and placement / ownership / layering questions ("where should this live", "which package owns this", "is this the right layer"). Explains subsystem architecture, runtime flow, onboarding mental models. Use why for motivation.

This skill should be used for persistent semantic memory in agent systems: cross-session knowledge retention, entity tracking, temporal validity, graph or vector retrieval, memory consolidation, and memory benchmark selection. Route file-backed scratchpads to filesystem-context, handoff summaries to context-compression, and token-efficiency tactics to context-optimization.

Use EEZ Studio from the command line: inspect and modify native .eez-project files, edit LVGL screens/widgets, manage SCPI commands, and invoke the real EEZ Studio backend for LVGL builds.

Use eth2-quickstart to autonomously deploy a hardened Ethereum node, install execution and consensus clients, configure validator metadata, expose RPC safely, and inspect node health with structured JSON output.

3MF mesh geometry editor — detect and resize cylindrical holes, repair meshes, compare 3D printing files. Works with BambuStudio and PrusaSlicer 3MF files.

Use this skill when the user wants to convert a Prefect task that runs dbt Core commands — DbtCoreOperation block, ShellOperation running dbt CLI, run_dbt_build / run_dbt_test tasks, or DbtCloudJob — into an equivalent Orchestra pipeline task. Triggers: any mention of migrating or rewriting Prefect dbt tasks to Orchestra; any Prefect flow code importing from prefect_dbt; ShellOperation commands starting with 'dbt '.

Improves an existing application using its code, product contract, authorized work history and competitor evidence. Use for 取长补短、取其精华去其糟粕、参考竞品优化应用 or evolving an app from successful and failed work. Carries authorized changes through implementation and user-result verification, including REA and reverse Skill composition; use skill-evolver for Skills.

Screenshot a running Phoenix feature and attach images to a GitHub PR. Builds the frontend, starts Phoenix with env vars, captures browser screenshots, and attaches them to the PR body with `gh pr edit --attach`.

Diagnose failing, stuck, partial, or incorrect Deepline Plays, including when no Play is named. Use deepline-gtm for the primitives, reproduce safely, propose an evidence-backed fix, and apply it after approval. For customer troubleshooting; skip platform incident response.

Build Weavr integration flows using Secure UI and the API. Covers tokenized capture and display, corporate and consumer onboarding, KYB pre-population, and choosing web or mobile components. Use when designing a Weavr integration across UI and backend.

Answers questions about the Weavr API, including managed accounts, cards, transactions, and authentication. Use whenever a developer asks how to integrate with Weavr, make API calls, handle errors, or understand request/response formats.

通用研究协议与质量守则。任何领域的研究任务(学科、金融、知识探索)都应当遵循本技能定义的流水线——问题拆解、多源检索、证据分级、交叉验证、引用核验、结构化成稿与知识库沉淀。用于保证研究质量、降低幻觉风险。