Turn a design request into an OpenShell RFC, a proposal for review and discussion. The skill follows the project template, assigns an available number, and organizes motivation, alternatives, and open questions into a draft.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Monitor GitHub Actions builds and tests with the gh command-line tool. Track runs until completion, inspect branch or pull request checks, read failed job logs, and rerun failed jobs or entire workflows.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Diagnose unreachable or unhealthy OpenShell gateways and sandbox startup failures. Identify the underlying execution platform, then examine logs, authentication, certificates, and configuration with the matching tools to narrow down the cause.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Develop and fix OpenShell’s keyboard-driven terminal interface using guidance on screen structure, background data fetching, themes, and navigation. Follow existing implementation patterns to add features that fit the interface’s established behavior.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn plain-language requirements and optional API documentation into OpenShell sandbox network policies in YAML. Define allowed destinations, programs, and API operations, with optional middleware settings for inspecting or transforming traffic and controlling what happens when processing fails.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Manage isolated working environments in OpenShell using its command-line tool. Register gateways, create and connect to sandboxes, configure credential providers, and reuse workload templates with shared images, environment settings, and computing resources.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Review a GitHub pull request or branch and receive a concise summary of its purpose, design choices, and notable code. Check linked issue acceptance and highlight evidence-based concerns through their observable impact on users.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Review recent Git commits to find changes that affect users, then update the relevant documentation pages. Identify missing pages, explain changed behavior or migration steps, and validate the resulting documentation with the project's build tools.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Create GitHub pull requests with the gh command-line tool. Check linked issues, contributor permissions, branch conventions, and relevant tests, then prepare a title and description that follow the project's contribution rules.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Assess OpenShell issues by checking first-hand use cases, reproduction evidence, existing behavior, and duplicates. Prepare a concise technical assessment, request specific missing information, and leave acceptance and roadmap decisions to human maintainers.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Run OpenShell’s Release Canary checks to verify that published development packages and Helm charts install and support basic sandbox operations. Use workflow logs and local Kubernetes reproduction steps to investigate failures before a public release.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Prepare payloads, run and monitor the Autonomous Vehicle Dataset Generation Airflow workflow, and inspect results for driving-clip retrieval and Cosmos3-Nano variants. Existing clips with no retrieval use cdf-video-data-augmentation; seed-image event or anomaly generation uses cdf-event-video-generation.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Add, edit, inspect, or validate Proteina-Complexa target definitions for protein binders, ligand binders, and AME motif scaffolding. Use for target registries, chain/residue selectors, hotspots, ligand fields, and incomplete motif inputs. Covers direct YAML edits and complexa target/validate target commands; running a campaign with an already registered target belongs to complexa-design.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Run the CDF Orchestration Event Video Generation DAG on Kubernetes or OSMO - image-to-video anomaly generation, auto-labeling, and anomaly dataset generation. Select for requests about event video generation, anomaly video generation, image-to-video synthesis, Cosmos3 image2video, anomaly dataset creation, safety/surveillance SDG, or generating person-falling, person-climbing, person-running, fighting, smoking/vaping, fire/smoke, or shoplifting video clips from a seed image. Covers both event_video_generation_dag_k8s and the external-endpoints-only event_video_generation_dag_osmo. Runs environment setup first when controller readiness is unknown. Not for person-crop clothing/attribute augmentation (that is cdf-image-attribute-augmentation) and not for video style transfer.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Run the CDF Video Data Augmentation Airflow workflow on Kubernetes or OSMO to create Cosmos video-to-video variants and auto-label both source and generated videos. Use for VDA payload authoring, preflight, execution, monitoring, output verification, or result retrieval. OSMO requires external endpoints. Standalone augmentation or auto-labeling configuration belongs to the respective component skill. Not for retrieval-driven CDF pipelines or image-to-video event generation.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Agent runbook for evaluating an existing PDB directory through the separately installed first-party Proteina-Complexa CLI. Use to refold or score designs, compute interface pAE, i_pLDDT, scRMSD, motif RMSD, or designability, run complexa analysis, or assess third-party BindCraft, AlphaProteo, or RFdiffusion outputs. SKILL.md selects and invokes the evaluation configuration; bundled executables only inspect local readiness and write a run manifest.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when the user asks to deploy, install, reinstall, redeploy, upgrade, or connect to the CDF Orchestration Airflow controller. Owns the end-to-end deploy sequence and runs the cdf-orchestration-preflight audit first. Covers make setup, controller image builds, Helm installation, controller connection, port-forwarding, and post-install verification. Not for standalone prerequisite audits or remediation, K3s environments, authoring DAGs, or running workflow payloads.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Set up missing Linux prerequisites and audit whether a Cosmos Data Factory (CDF) Orchestration checkout and its Kubernetes or OSMO environment are ready to install the controller and run every packaged DAG. Use for prerequisite, pre-setup, Kubernetes, GPU, RWX/NFS, credential, controller-readiness, and quick-start checks. Not for deploying the controller (use cdf-orchestration-setup, which calls this audit first), authoring payloads, or running workflows.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when a user describes a custom CDF Orchestration pipeline — a specific ordered combination of stages such as augmentation only, auto-labeling only, detection+captioning only, or image attribute augmentation without full auto-labeling — that no existing DAG in airflow/dags/workflows/ covers, and asks for a new Kubernetes DAG. Also use to check that a generated or existing DAG's model/container/prompt choices match an external spec document (e.g. a CDF `launchable.md`). Not for requests that an existing DAG already covers, including payload-only changes such as different inputs, endpoints, models, or variant counts — route those to the matching workflow skill, unless the user still wants a separate DAG after being pointed to it.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Agent runbook for Proteina-Complexa parameter sweeps through the separately installed first-party CLI and config generator. Use for cartesian-product hyperparameter scans, sweeper YAML authoring, configuration comparisons, ablations, tuning, success-rate ranking, or Pareto searches over quality and wall-clock cost. Do not use for a single existing-job launch or SLURM submission template. SKILL.md performs the orchestration; bundled executables only inspect local readiness and write a run manifest.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Run the CDF Orchestration Image Attribute Augmentation DAG on Kubernetes - person-crop clothing augmentation, attribute search, and augmented dataset generation. Select for requests about image attribute augmentation, person attribute search, person re-identification data, clothing augmentation, attribute captions, augmentation payloads, run status, or result retrieval. Runs environment setup first when controller readiness is unknown. Not for video or defect-image generation.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Component-owned guidance for CDF Simulation requests submitted directly or through Airflow-triggered DIG Flow Catalog prompts — golden THT board, THT pin-geometry variation, good/clean SMT images, structural pose defects, and solder texture defects, from a board USD. Turns one matched prompt into one validated `cdf.CDFJob` build and its compiled JobOrder payload; it never executes a render itself. Requires a caller-supplied board USD and output root, asks for either when missing from an interactive request, and resolves optional details with fixed, documented defaults.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate synthetic PCB inspection images on Kubernetes with the SMT Defect Image Generation (DIG) DAG in CDF Orchestration. The DAG renders components in simulation, turns the renders into realistic golden images (sim2real), and uses AnomalyGen to add texture defects such as solder bridges, excess solder or missing components. Simulation can also render shift, tombstone and sideflip pose defects. Use it to build DIG payloads, pick a pipeline mode (full, simulation, sim2real or defect-only), check GPU readiness, follow a run, and match each defect image to its golden and simulated source. Not for running Simulation, Augmentation or AnomalyGen on their own.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Diagnose a specific failing, hanging, or incorrect Holoscan CLI command. The skill guides reproducible investigation, isolates the responsible layer, applies a minimal fix, and checks the same command and focused tests to verify the result.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.