개발 스킬

Build holaOS apps for connecting external services or managing work through a dashboard. The skill uses shared SDK building blocks for stored records, actions, and synchronization, with the dashboard and agent tools working on the same data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building an external service integration
• Creating a CRM dashboard
• Building a content planning workspace

Create or update reusable Codex skills by turning concrete task examples into concise instructions. Follow a defined folder layout and SKILL.md template, validate the skill through an actual invocation, and refine it using feedback.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning recurring tasks into reusable skills
• Organizing an existing skill's instructions
• Checking SKILL.md format and folder placement

Customize an installed workspace capability, a bundle of agent tools and guidance. It updates the configuration to add MCP servers, which connect agents to tools, or change skills, integrations, and instructions while preserving existing settings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add an MCP server to an installed capability
• Update existing skills and integrations
• Revise instructions for a capability's agent

Compare an installed GEO-SEO toolkit with the latest upstream files, summarize changes, and update skills, agents, scripts, templates, and hooks. Keep files removed upstream and report the outcome of dependency updates.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Update an installed GEO-SEO toolkit
• Review new and modified files before updating
• Check Python dependency update results

Create interactive web demos and chat interfaces in Python with Gradio. Connect functions to text, image, audio, and file controls, arrange screen layouts, and define what happens when users click buttons or change inputs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning a Python function into an interactive demo
• Building a chatbot interface
• Adding image and audio inputs and outputs

Build reusable command-line scripts that fetch and process Hugging Face API data. Combine multiple requests, enrich model information, and produce outputs for further filtering, with built-in help and usage examples for repeated tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Automating repeated model and dataset lookups
• Combining trending models with metadata and paper links
• Extracting licenses and tags from model cards

Write and review Gradio demos for Hugging Face ZeroGPU. Configure GPU time limits and dependencies, and troubleshoot errors caused by separate worker processes, shared state, concurrent requests, or CUDA package installation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review GPU handlers in a Gradio demo
• Tune GPU duration and quota usage
• Fix PicklingError and stale state across worker processes

Assess a fixed patch or pull request diff before merging. Trace affected behavior, evaluate regression risks, tests, and recovery options, then provide an evidence-based recommendation and advisory automatic-merge eligibility without modifying or merging the patch.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assess a generated patch before merging
• Trace how a pull request affects production behavior
• Evaluate tests and rollback options

Diagnose unexpected terminal-tools results, including empty output, missing exit codes, expired output handles, and busy sessions. Use returned status fields to distinguish ongoing work, output limits, shell behavior, and failures, then choose a recovery step.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate empty or truncated command output
• Interpret missing exit codes and conflicting status fields
• Resolve job limits and busy terminal sessions

Run builds, tests, and other long commands in the background while continuing other work. Explains how to read new log output, check completion, send input, and stop processes using the available platform controls.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Running long builds or tests in the background
• Monitoring development servers and streaming logs
• Taking over an automatically backgrounded command

Guide an agent through searching code, logs, and configuration files by content or filename. It explains which tools to choose, how to filter searches, and how to recognize incomplete results or searches requiring shell commands.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find TODO comments in Python files
• Search error logs with surrounding lines
• Locate configuration files by filename

Use persistent virtual terminal sessions to keep directories and environment variables across commands, interact with Python or database consoles, and answer prompts. The skill explains sending input, reading responses, detecting prompts, and closing sessions when finished.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Keep directories and environment variables across commands
• Run a sequence of commands in an interactive Python console
• Interact with mysql or psql consoles

Create a new skill for a Hive agent, with a clear SKILL.md, supporting files, and an appropriate storage scope. Guides validation and discovery checks so the agent can find and use the skill.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a skill for project-specific procedures
• Package a reusable skill for multiple projects
• Keep a skill limited to one colony

Handle failed tool calls with a clear recovery process. The skill distinguishes temporary problems from input or setup issues, chooses whether to retry or change approach, and records failures so unsuccessful tasks are not silently lost.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deciding whether to retry a failed tool call
• Correcting inputs after setup or validation errors
• Switching approaches after repeated tool failures

Help an agent run terminal commands, follow long-running jobs, retrieve logs, and cancel work. It explains result fields, execution deadlines, retained output, and operating-system differences so the agent can interpret command outcomes and choose appropriate tools.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Track a build that continues in the background
• Retrieve command output omitted from the initial response
• Check command outcomes beyond numeric exit codes

Choose a feature design using the relevant code, requirements, and existing conventions. Record the chosen approach, alternatives, risks, and coverage of key user journeys, and identify decisions that need human input before implementation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose an implementation approach before coding
• Document alternatives and reasons for rejecting them
• Check coverage of key user journeys

Prepare feature work by reading a Linear ticket and its context, checking development tools, and looking for existing implementation or pull requests. Route requested PR changes to a separate review workflow before development proceeds.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review a feature ticket before starting development
• Check for existing implementation or an active PR
• Confirm development tools and branch setup

Turn a feature ticket into clear requirements and critical user journeys, describing who does what and the expected result. Check the scope before design begins, and propose smaller dependent tickets when the work exceeds one reviewable change.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning a feature ticket into user-facing requirements
• Mapping critical journeys across interfaces
• Checking scope before design and implementation

Commit a completed feature and prepare a pull request describing its design, tests, and demos. Follow the selected publication mode, and for direct publication, work through automated checks and review feedback before requesting maintainer review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Commit a completed feature using repository conventions
• Prepare a pull request with tests and demos
• Address automated checks and review feedback after publication

Implement a feature from its design and connect each covered user journey, a sequence of user actions, to a meaningful test. Run focused checks and assess the full change for effects on existing behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implement a feature from an agreed design
• Connect key user journeys to tests of new behavior
• Assess effects on existing behavior before preparing a demo

Address trusted human reviewers’ change requests on an existing Otto pull request. It guides fixes on the same branch, verification, replies with supporting evidence, and requests for another review before handing over the results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Addressing human reviewers’ requested changes
• Fixing and validating changes on the existing PR branch
• Replying to review threads with commits and test evidence

Guide pull request checks for merge readiness, automated checks, and live previews. It points agents to shared instructions at the relevant stage and identifies facts to include when handing work over to maintainers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking CI status and merge readiness
• Preparing a preview after reviews pass
• Organizing facts for a maintainer handoff

Prepare a structured JSON handoff for feature work, bringing together requirements, design decisions, key user journeys, tests, demo recordings, and pull request status. Clearly distinguish completed work from missing validation, publication steps, and other remaining tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a final handoff for feature development
• Linking key user journeys to tests and demo recordings
• Reporting unpublished work and remaining validation

Run Polly AI Review and Open Code Review repeatedly on a pull request. Track each finding, fix relevant issues, document justified dismissals, and verify that review evidence and recorded decisions cover the latest commit.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Resolving findings from two automated PR reviewers
• Reviewing each new commit after fixes
• Recording evidence for dismissed or duplicate findings