'fork' 검색 결과

When the user requests to create or customize an academic personal website from a GitHub template repository. This skill handles the complete workflow of forking academic template repositories (like academicpages.github.io), extracting structured personal information from memory or provided data, and systematically updating configuration files (_config.yml), navigation menus (_data/navigation.yml), content pages (_pages/about.md), and publication listings (_publications/). It specifically handles academic profiles including personal details, education background, research experience, publications, skills, and contact information. Triggers include requests to 'fork and customize academic homepage', 'build personal academic website', 'create research portfolio', or 'set up GitHub pages with academic template'.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

새 스킬을 만들기 전에 로컬 환경, 마켓, GitHub, 웹에서 기존 후보를 찾아 용도 적합성과 안전성을 확인하고 재사용, 확장, 신규 생성 판단을 돕습니다.

• 작업에 맞는 스킬 검색
• 새 스킬 생성 전 중복 확인
• 확장할 기존 스킬 후보 선택

Find a trial Storybook package for a specific branch, or trigger its publication when needed. Check release progress and obtain the package reference or commands for creating or upgrading a project with that build.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find a trial package for a Storybook branch
• Publish a trial build for a fork pull request
• Check publication progress and installation commands

Create a fixed JSON evaluation suite from a repository's existing tests and check its structure for errors. Use the suite with harness-evolve to compare variants against consistent tasks, independently of the repository's normal test command.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a fixed evaluation suite from existing tests
• Check evaluation suite structure in CI
• Compare variants across commits using consistent tasks

Replay recorded browser actions on the original or an alternative URL to check UI changes or reproduce bugs. When a page element cannot be found, the skill searches for a similar target and records how many steps succeeded.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking UI flows after a deployment
• Reproducing a bug from a recorded session
• Preparing repeated runs for screenshot comparison

Reproduce and fix LazyCodex or Codex defects in a temporary workspace. Verify the change with regression tests and real usage, then deliver an upstream Codex pull request or a LazyCodex issue containing the tested patch.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implement and verify a reproducible bug fix
• Submit an upstream Codex pull request
• Deliver a tested LazyCodex patch in an issue

Turn a broad coding request into a concrete work plan grounded in the codebase. After user approval, it documents affected files, decisions, dependencies, and verification steps so a separate worker can carry out the implementation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning a large feature before coding
• Turning a vague request into defined tasks
• Preparing an implementation handoff

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

Use natural-language requests with Aomi CLI to check crypto prices and balances or prepare swaps, staking, and transfers between chains. Review queued transactions and simulate multi-step batches before separately authorizing wallet signing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check crypto prices and wallet balances
• Prepare and simulate a Uniswap swap
• Prepare an ETH stake with Lido

Build Solidity contract tests with Hardhat and Foundry. Check individual functions, contract interactions, gas usage, and varied inputs, and use a local copy of mainnet state to test against existing contracts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Testing token transfers and expected failures
• Checking edge cases with varied generated inputs
• Testing interactions with existing mainnet contracts

Set up OpenMAIC and generate interactive classrooms with multiple AI agents. The skill guides hosted or local use, model configuration, and classroom generation, and also supports customizing the product or building with its SDK, a set of development tools.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Trying classroom generation with the Live Demo
• Setting up and checking a local installation
• Generating a classroom from requirements and materials

Guides large language model reinforcement learning with miles, covering environment setup, low-precision training, consistency between training and inference, and speculative decoding, where a smaller model proposes tokens for a larger model to verify.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Configure reinforcement learning for large MoE models
• Investigate instability in FP8 training
• Set up speculative decoding for faster rollout generation

Update a customized NanoClaw installation with official changes. The skill stages and tests updates in a separate workspace, manages required migrations, restarts the detected service, and restores saved local state if the build or health checks fail.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Apply routine official updates to a customized installation
• Review and resolve conflicts before changing the live installation
• Apply selected upstream commits

Upgrade a customized NanoClaw installation by recording changes in a reusable migration guide and reapplying them to a clean upstream version. The workflow includes backups, validation in a separate working directory, and rollback instructions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Upgrade NanoClaw while preserving custom settings and code
• Document customizations in a reusable migration guide
• Validate an upgrade in a separate working directory

Route enterprise research questions to specialized skills for clinical studies, R&D finance, market research, or user research. Receive a concise digest of findings, next actions, output files, and assumptions that need human review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan a clinical study and sample size
• Review R&D budgets and spending classifications
• Estimate market size and design surveys

Route product questions to a specialist for prioritization, research, analytics, experiments, or implementation. Support recurring discovery by tracking interviews and assumption tests, checking how customer needs connect to proposed solutions, and returning results with a concise digest.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prioritizing features with an explicit framework
• Planning product experiments and sample sizes
• Tracking weekly interviews and assumption tests

Coordinate project delivery by routing requests to eight specialist skills or running a verified delivery workflow. Use live Jira data for progress analysis and completion forecasts, with recorded evidence and checks before tasks are closed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Analyze sprint progress and forecast completion ranges
• Produce project health reports from live Jira data
• Route Jira permission and configuration reviews

Turn long Markdown files into a single HTML file for reading, reviewing code, or presenting slides. Routes each input to a specialized converter and applies shared design settings, with navigation and interaction suited to the document type.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Converting long specifications or reports into navigable HTML
• Presenting code reviews with diffs and severity annotations
• Turning Markdown into slides with keyboard navigation

Route pricing, discount, partnership, sales channel, proposal response, and bookings forecast questions to one of seven specialist skills. Receive a concise digest of findings, recommended actions, and output files to support commercial decisions and human approval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review pricing models and product packages
• Assess deal discounts and approval requirements
• Compare partnership terms and channel profitability

Plan a Claude Managed Agent around one clear job, then route work through setup, launch preparation, evaluation, and scheduling. Produce execution plans and curl commands that users run with their own Anthropic API key.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Defining one clear job for a managed agent
• Preparing launch commands for an Anthropic account
• Planning evaluation and revision with an iteration limit

Evaluate existing SaaS providers and vendors using industry-weighted scores, contractual service targets, and four areas of third-party risk. Produce scorecards, service compliance reports, and risk matrices to support renewal reviews and identify potential service credit claims.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing quarterly vendor scorecards
• Reviewing service target breaches and potential credit claims
• Classifying risks across a SaaS portfolio

Route internal operations questions to six specialist skills covering workflows, vendors, staffing capacity, communications, procedures, and procurement. Receive a brief summary of findings, recommended actions, and links to the documents or data files produced.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding bottlenecks in internal workflows
• Reviewing vendor performance and purchasing costs
• Planning staffing capacity for the next quarter

Write tests that demonstrate a pull request’s user-visible changes through before-and-after steps, screenshots, and recorded observations. Extend an existing core journey or create a one-off proof that helps reviewers understand the outcome and access boundaries.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Demonstrating a feature’s before-and-after behavior
• Adding a missing step to an existing core journey
• Proving permission boundaries for different users

Prepare a pull request to contribute local qm changes back to the shared project. Builds a clean contribution branch and checks commit history, files, authorship, and review materials for private organizational details before submission.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Contribute a local qm bug fix to the shared project
• Check outgoing commit history for private details
• Prepare a clean contribution branch from a private fork