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GitHub 仓库

ado

ado 收录了来自 IBM 的 11 个 skills,并提供仓库级职业覆盖和站内 skill 详情页。

已收集 skills
11
Stars
55
更新
2026-07-15
Forks
6
职业覆盖
3 个职业分类 · 已分类 100%
仓库浏览

这个仓库中的 skills

examining-ado-operations
软件开发工程师

End-to-end workflow to examine and summarize an ado operation — fetch operation and space YAML, summarise configuration, export entities/requests/results to CSV, perform simple analysis, and interpret failures and data quality. Use when the user asks to summarize, analyse, debug, or review an operation; wants insights from measurement data; or provides an operation ID or asks to use --use-latest for the current operation.

2026-07-15
examining-ado-project
软件开发工程师

Builds a picture of work in an ado project: activity volume, spaces and operations created over time, experiments and operation configs used etc. Use to create a project/context overview report, summarize what the team has been doing in an ado project, report trends across spaces/operations, or to onboard onto an ado project.

2026-07-15
examining-discovery-spaces
软件开发工程师

End-to-end workflow to examine and summarise an ado discoveryspace — fetch space YAML, describe entity and measurement space structure, assess sampling coverage, export measurement data, and find related resources. Use when the user asks to inspect, summarise, debug, or analyse a discoveryspace; wants to understand dimensions, experiments, or sampling coverage; provides a space ID or asks to use --use-latest for the current space.

2026-07-15
formulate-discovery-problem
软件开发工程师

Formulates problems for execution with ado by creating discoveryspace and operation YAML files. Guides through experiment selection, space creation, validation, operation configuration, and parameterization. Use when the user wants to create discoveryspace or operation YAML files, configure experiments, set up entity spaces, or formulate research, benchmarking or search problems.

2026-07-15
query-ado-data
软件开发工程师

Query ado metadata and measurement data using CLI commands. Use when the user needs to find resources, filter by metadata, retrieve entities and measurements, or get resource schemas. Covers metastore queries (operations, discoveryspaces, samplestores, datacontainers, actuatorconfigurations) and samplestore queries (entities and measurements).

2026-07-15
remote-execution
软件开发工程师

Run ado operations on remote Ray clusters using --remote execution context files. Use when the user wants to create an operation, asks about remote clusters, wants to ship local plugins or data files to a cluster, or asks about execution context YAML files. Also applies proactively when creating an operation if execution context files are present in the workspace.

2026-07-15
review
软件质量保证分析师与测试员

Review committed changes in the current branch. Use when the user asks to review, audit, or critique a branch — covers code quality, skill quality, bugs, linting issues, and adherence to project guidelines. Produces a structured review report written to a markdown file.

2026-07-15
generate-release-notes
软件开发工程师

Generate a structured changelog for GitHub release notes from changes since the last release. Use when the user asks to generate release notes, a changelog, or a summary of changes since the last tag/release.

2026-07-06
resource-yaml-creation
软件开发工程师

Guidance for creating ado resource YAML files (discoveryspace, operation, actuatorconfiguration, samplestore). Covers metadata conventions, dynamic reference resolution with --use-latest/--with/--set, space design principles, avoiding duplicate resources, and validation. Use when creating or editing any ado resource YAML file.

2026-07-01
using-ado-cli
软件开发工程师

Reference for ado CLI command syntax, flags, and usage patterns — covers get, create, edit, show, and describe subcommands, output formatting with -o and --output-file, convenience flags (--use-latest, --set, --with), debugging with -l, and run_experiment for local point testing. Use when writing or verifying ado CLI commands, looking up correct command syntax or flags, debugging unexpected CLI output, or explaining ado command patterns.

2026-07-01
conduct-empirical-study
数据科学家

End-to-end workflow for conducting empirical studies with ado — systematic exploration and analysis of entity spaces. Covers problem formulation, optional implementation of custom experiments/operators, execution (local or remote), and analysing results. Use when the user wants to run experiments, answer research questions empirically, benchmark systems, or perform any study involving systematic data collection across a parameter space.

2026-03-31