'contributions' 검색 결과

Create engineering retrospectives from Git history, covering delivered changes, work patterns, test code ratios, and frequently changed files. Review individual contributions and improvement opportunities, save metrics, and compare results with earlier periods.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarizing a week of engineering work
• Reviewing individual contributions and improvement opportunities
• Checking test ratios and frequently changed files

Explain how input features contribute to machine-learning predictions using SHAP. Select an explanation method and reference data, validate contributions against model outputs, and create charts for individual predictions or patterns across samples, including models with multiple outputs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explaining the feature contributions behind one prediction
• Visualizing attribution patterns across evaluation samples
• Selecting and explaining a class in a multiclass model

Turn routine resume duties into concise bullets that show real contributions. Use focused questions to uncover achievements, verify numbers and individual responsibilities, and describe scope or concrete changes when reliable performance figures are unavailable.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning duty lists into achievement bullets
• Describing contributions without performance metrics
• Clarifying personal contributions to team results

Get instructions for installing and reviewing the full ai-ready skill in Copilot CLI. This wrapper explains how to add the latest version, reload skills, and request repository preparation for AI contributions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Install the full skill in Copilot CLI
• Review the skill before loading it
• Update an existing skill installation

Review a week of engineering work using commit history, work patterns, and code quality measures. It tracks trends across retrospectives and breaks down each team member’s contributions, highlighting strengths and areas for growth.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review the week’s engineering work
• Summarize work completed during a sprint
• Reflect on each team member’s contributions

Create, update, or review agentmemory skills using a shared format. It guides document structure, supporting files, and generated reference data so contributions follow consistent rules and stay aligned with the source code.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a new agentmemory skill
• Restructuring an existing skill
• Reviewing skill contributions for consistency

Analyzes marketing campaign data to compare channel contributions, find drop-offs before purchase, and calculate returns and acquisition costs. Uses five attribution models, which assign credit to customer interactions, with results available as readable summaries or JSON.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare channel contributions across attribution models
• Find where prospects drop out before purchase
• Compare campaign returns and acquisition costs

Answer NemoClaw maintainer questions using policy references covering issue and pull request assessment, labels, project fields, releases, and competing contributions. It explains the relevant rules in plain language through a read-only workflow.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking issue and pull request assessment rules
• Understanding labels and project fields
• Checking release inclusion and cutoff rules

Search arXiv papers by topic or paper ID, review authors and abstracts, and summarize contributions stated in the abstracts. Download selected papers or all search results as PDFs to build a local paper library.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find arXiv papers on a research topic
• Retrieve details for a known arXiv paper ID
• Download all PDFs from a set of search results

Merge GitHub pull requests while preserving credit for the original contributors. Covers straightforward merges, conflict resolution, selective file inclusion, duplicate PR closure, and checks that confirm both attribution and working code after integration.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Merge external contributions while preserving author credit
• Resolve conflicts in a pull request
• Merge selected files from a pull request

Expert en écosystème d'agents IA (plugins, extensions, thèmes, communauté, contributions, gouvernance)

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create or revise skills shipped within the Hermes Agent repository. The guidance covers file placement, required metadata, clear procedures, platform checks, tests, and documentation updates so contributions follow the repository’s authoring standards.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add a reusable skill to the Hermes Agent repository
• Revise an existing in-repository SKILL.md
• Choose bundled or optional placement

Produces detailed HTML or Markdown reports on pull requests, branches, or large code contributions. It explains how the system works, ranks concrete findings, compares designs when needed, and recommends whether and how to merge the changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a large pull request in depth
• Explaining a contribution’s design and behavior
• Comparing a design with similar systems

Track pull requests opened by a Paperclip instance, explain their purpose, and assess whether their latest changes are ready to merge. Dispatch preparation work for unresolved problems and publish an evidence-based report without merging anything.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing readiness across an instance's open pull requests
• Dispatching preparation work for failing checks or conflicts
• Checking readiness again after fixes

Create an HTML defense deck for a field-study capstone, organizing survey methods, findings, contributions, and limitations for faculty reviewers. The template uses yellow paper, safety-pin illustrations, and handwritten-style text for a warm presentation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare a field-study capstone defense
• Present qualitative research findings
• Organize a workshop debrief as slides

Coordinate multiple AI agents for research, development, testing, and system analysis. It guides role assignment, communication structures, parallel and sequential tasks, shared memory, progress monitoring, and recovery, bringing separate contributions into reports or coordinated development workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Gather research in parallel and compile a report
• Coordinate application design, implementation, and review
• Run unit, integration, security, and performance tests in parallel

Maintain a Chinese independent developer project list by reviewing comments, issues, and pull requests. Check duplicate URLs and submission eligibility, add projects to the appropriate README, merge contributions, and reply with the listing result.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review new project submissions
• Check duplicate product URLs
• Place projects in the appropriate list

Take a pull request through repeated code review and fixes, verify that automated checks pass for the latest commit, and combine its changes into one commit when merging. Conflicts with the request’s goal require confirmation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing, fixing, and merging a pull request
• Resolving every review finding, including minor issues
• Checking CI results for the commit being merged

Draft commit messages, pull request titles and descriptions, and GitHub comments or reviews for Apache Airflow contributions. Follows project wording and AI attribution rules, and helps decide whether a change needs a release note.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Draft commit messages and pull request titles
• Prepare pull request descriptions using the project template
• Draft GitHub comments and review text

Review open GitHub pull requests and issues to rank useful, lower-risk actions. Produce a prioritized report covering merge candidates, already-fixed issues, small fixes, branch verification, and contributor credit, with public comments drafted for approval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prioritizing a crowded pull request and issue queue
• Finding small contributions to include before a release
• Identifying already-fixed issues with supporting evidence

Review open pull requests against the actual release branch, inspect code changes and failed checks, and produce an evidence-based table recommending direct integration, selective reuse, deferral, or closure, with contributor credit.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing the open pull request queue
• Selecting contributions for an upcoming release
• Checking conflicts against a local release branch

Draft self-assessments, peer reviews, and feedback for managers using concrete examples of work and collaboration. Organizes achievements around context, actions, and results, matches your writing voice, and flags sections that need more evidence or detail.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare an annual or mid-year self-assessment
• Draft a peer review with specific examples
• Write constructive feedback for a manager

Prepare repository contributions by checking existing guidelines, related issues, branch naming rules, commit formats, and pull request templates. Organize changes into logical commits and assemble submissions that follow the project's documented contribution process.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing issues using repository templates
• Creating branches with the required naming format
• Grouping changes into clear commits

Make resume achievements more specific by identifying useful numbers, such as workload, time saved, or revenue. Guided questions uncover measurable contributions, while conservative estimates and documented reasoning help describe experience when exact records are unavailable.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add meaningful numbers to resume achievements
• Find measurable results in everyday work
• Estimate workload when exact records are unavailable