'ai-agents' 검색 결과

Carry agreed implementation work through a separate Git worktree, an isolated working directory. After checks and review, it prepares one local commit, a clean branch, and a pull request draft for handoff without publishing them.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting agreed implementation in a separate worktree
• Preparing a reviewed local branch with one commit
• Taking over an existing pull request while preserving author credit

Plan SDK behavior changes by defining required outcomes, compatibility boundaries, and unsupported cases. Reuse existing implementation paths, assess review feedback, and reconsider designs when repeated fixes introduce complexity beyond the original requirement.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Define the scope of an SDK behavior change
• Assess compatibility with released APIs
• Reconsider a design after repeated review findings

Review completed code changes against the original requirements, choosing review depth by behavioral risk. Coordinate independent reviewers, resolve actionable findings, and verify that the delivered changes match the content actually reviewed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review completed changes before final verification
• Choose review depth based on behavioral risk
• Re-review fixes after actionable findings

Run final checks on reviewed SDK changes, covering code formatting, linting for code issues, type checking, and tests. Confirm completion only after every required check succeeds, with wrappers for macOS, Linux, and Windows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Verify runtime code changes after review
• Run final checks after test or build configuration changes
• Rerun required checks after fixing a failure

Analyze CSV files with Python and get concise numerical summaries. The skill checks column structure before calculating requested aggregates, includes units when available, and explains assumptions when data is missing or incorrectly formatted.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Quick summaries of CSV data
• Calculating requested aggregates
• Reporting assumptions about missing or malformed data

Compare SDK implementation with English documentation to find missing features, incorrect defaults, and outdated behavior descriptions. Report evidence and suggested locations, or make requested updates while keeping navigation consistent and following the repository’s documentation checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Auditing documentation for a specific SDK feature
• Updating English docs after implementation changes
• Correcting outdated settings and default values

Prepare an English pull request title, description, and branch suggestion from completed local changes. It reviews Git changes, includes untracked files, and formats issue references so the draft is ready to paste into GitHub.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting a pull request after implementation
• Summarizing uncommitted changes and new files
• Preparing branch names and issue references

Plan and, after explicit approval, run controlled checks of software behavior. Compare baseline and failure cases, repeat sensitive measurements, and report observed results with execution context, comparison conditions, and the status of temporary evidence files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating a suspected runtime regression
• Checking retries, interruptions, and concurrent operations
• Comparing latency or cost under matched conditions

Find and retrieve official OpenAI documentation to answer API integration questions with source evidence. Check endpoint definitions, parameters, and documented limits, and receive setup guidance when the documentation connection is unavailable.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Verify specifications before integrating an OpenAI API
• Check endpoint parameters and schemas
• Support technical explanations with official documentation

Compare a Python SDK release plan or candidate with the previous release to assess compatibility, versioning, and proven regressions. Produce a ship-or-block recommendation, documentation handoff, and key changes for minor releases.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan the next patch or minor SDK release
• Assess whether a release candidate can ship
• Check compatibility and migration paths

Review logs and source files from a completed manual example run. Check that results are current and complete, verify intended behavior beyond successful exit codes, and distinguish product defects from environment or credential problems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review results after a manual example run
• Verify behavior in examples that exited successfully
• Separate product failures from environment problems

Measure Python SDK test coverage, the code exercised by tests, and identify meaningful gaps in user-visible behavior. Report proposed scenarios or add authorized tests, then verify the changes and report remaining gaps alongside coverage results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Auditing Python SDK test coverage
• Investigating a decline in coverage metrics
• Finding untested error and cancellation paths

Assess GitHub issues and pull requests by checking demonstrated user needs, existing alternatives, compatibility, and maintenance costs. Produce an evidence-based maintainer recommendation through code and document inspection, without running tests or examples.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deciding whether a pull request merits merging
• Checking whether existing features already solve an issue
• Comparing competing fixes for the same problem

Capture a local static HTML page from the terminal using Playwright and Chromium. The supplied commands install the browser, set a 2048 × 1152 viewport, and save screenshots without starting a web server.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Capturing a local static HTML page
• Saving screenshots at a specified viewport size
• Keeping first and second captures as separate files

Fix a small formatting bug in a credit note shell script while keeping the output label as credit and the amount positive. Run the specified targeted test and summarize the bug, fix, and verification command.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Fix a credit note output formatting bug
• Check the credit label and positive amount
• Run the specified test and report the fix

Guides iterative improvement of AI agent prompts, skills, and memory using A-Evolve. It explains how to evaluate agents against benchmark tasks, apply changes, validate results, and track or roll back revisions with Git.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Improve an existing agent against benchmark tasks
• Build evaluations for domain-specific tasks
• Refine skills and memory from failure feedback

Fix a small formatting bug in a credit note shell script while keeping the output label as credit and the amount positive. Run the specified targeted test and summarize the bug, fix, and verification command.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Fix a credit note output formatting bug
• Check the credit label and positive amount
• Run the specified test and report the fix

Update pnpm locally and align package.json with GitHub Actions settings. Check the published package and CI installation paths first, then record package integrity and pin the setup action to a specific commit.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Updating pnpm across local development and CI
• Checking installation paths before an upgrade
• Refreshing GitHub Actions commit pins

Investigate runtime behavior that code review and normal tests cannot resolve. Plan controlled cases, disclose commands and effects for approval, then use temporary scripts to report observed results, comparison conditions, and supporting evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating behavior that normal tests cannot explain
• Comparing latency under controlled conditions
• Checking integration failures and retry behavior

Analyze existing logs and source files from a completed example run to verify that intended actions actually occurred. Review every entry, classify failures and skips, and report evidence without running examples, controlling processes, or modifying files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Verify behavior after a completed example run
• Check whether exit-zero examples performed their intended actions
• Separate repository failures from environment restrictions

Analyze CSV files with Python and get concise numerical summaries. The skill checks column structure before calculating requested aggregates, includes units when available, and explains assumptions when data is missing or incorrectly formatted.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Quick summaries of CSV data
• Calculating requested aggregates
• Reporting assumptions about missing or malformed data

Look up OpenAI API and platform details in official documentation through the documentation MCP server. Retrieve relevant pages, endpoint definitions, and parameters so integration guidance and factual claims are grounded in the fetched source text.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Verify specifications before integrating an OpenAI API
• Check endpoint parameters and definitions
• Confirm documented defaults and limits

Review a JavaScript SDK release plan or final candidate against the previous release. Check compatibility, packaging, regressions, and Changesets version records, then recommend shipping or blocking with supporting evidence and a separate assessment of documentation coverage.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review the next SDK release plan
• Assess whether a final release candidate can ship
• Check generated versions and changelogs for consistency

Turn the actual task changes into an English PR title, description, and branch name suggestion. Include relevant committed and uncommitted work, explain the motivation and behavior changes, and prepare text ready to paste into GitHub.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a PR draft after implementation
• Explaining the motivation and behavior changes in English
• Summarizing changes including untracked files