'coding' 검색 결과

Recover context from local coding-agent transcripts and produce a checkpoint covering the objective, completed work, blockers, and next step. Explicit import requests support read-only recovery, with continuation governed by the current workspace rules and the user's request.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recover context using a session ID
• Summarize unfinished work from local logs
• Review JSONL exports or Markdown handoffs

Manage coding-agent sessions across connected machines through Herdr, tmux, and MSP. See which sessions need attention, review their output, open sessions with a brief, send instructions, answer approval dialogs, and stop or close sessions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find sessions waiting for approval or review
• Read another session and send follow-up instructions
• Open an agent session on a named machine

Find facts and data with web search, prioritizing primary or authoritative sources. Record exact figures, units, time periods, and source URLs in shared history so later calculation, coding, or writing can use traceable evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding facts backed by primary or authoritative sources
• Recording figures with units, time periods, and source URLs
• Collecting evidence before calculation or writing

Set up and customize Pi, a terminal coding agent framework. This skill guides model configuration, extension development, terminal interfaces, and integration with other applications through its SDK, a software development kit, or process messaging.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Install Pi and configure model access
• Create custom tools and terminal interfaces
• Embed Pi in another application

Delegate code analysis and implementation to Codex CLI without an interactive session. The skill reads ordered output events, extracts the final agent response, and reports errors, with a read-only sandbox used by default.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review code in a read-only sandbox
• Delegate implementation to Codex
• Get a second coding agent's assessment

Find context from past coding sessions in Hindsight long-term memory. Reuse memories already loaded for the session, search for missing details, and reason over accumulated records when answering questions about decisions, project context, or preferences.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Revisit the reasons behind past implementation decisions
• Recover project context discussed in earlier sessions
• Check previously discussed preferences

Control interactive command-line programs through tmux by sending keystrokes, reading terminal output, and waiting for prompts. Use separate sessions to operate Python consoles or run multiple coding agents while checking their progress and results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Operate an interactive Python console
• Run multiple coding agents in parallel
• Wait for prompts and inspect terminal output

Hand a scoped coding task to Aider while the coordinating agent reviews changes, runs project checks, and commits the result. Covers task briefs, execution tracking, and follow-up edits, but the executable helper is not bundled.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Delegating a scoped code change to Aider
• Reviewing changes and tests before committing
• Requesting follow-up edits after a review

Manage coding work from issue intake through implementation, review, deployment, and acceptance checks. Track each completion requirement against fresh evidence, with defined retry limits and explicit escalation when progress needs human input.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Taking a ready issue through implementation and verification
• Coordinating implementation, review, and deployment handoffs
• Checking runtime behavior against acceptance criteria

Practice an interview tailored to a specific job, with a chosen format and difficulty. Answer one question at a time, handle follow-up questions, and receive scores and improvement suggestions grounded in your answers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Practice answering questions for a specific job
• Get feedback and retry after each answer
• Rehearse with feedback held until the end

Recover hidden malware settings and communication parameters in an isolated CTF environment. Document how values are decoded, preserve supporting evidence, and connect recovered fields to the sample’s observed behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recovering hidden malware configuration fields
• Decoding command server addresses and beacon settings
• Separating loaders from staged payloads

Analyze packet captures in a CTF sandbox by rebuilding communication sessions and decoding message contents. Recover transferred files and connect packet order, timing, and reconstructed streams to observed host or malware behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Rebuild TCP or UDP communication sessions
• Decode HTTP, DNS, or custom protocol messages
• Recover files transferred over the network

Analyze captured network traffic and binary messages to recover custom protocol structures. The skill organizes message types, fields, and connection states, then produces reproducible decoding steps with supporting evidence for authorized investigations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recover message fields from captured network traffic
• Investigate unknown Protobuf message structures
• Map handshakes, heartbeats, and connection states

Review Python code for common mistakes in error handling, asynchronous operations, type annotations, and tests. Use a practical checklist and correction examples to guide code reviews, investigate bugs, and improve existing implementations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing Python code before a merge
• Investigating bugs caused by common coding mistakes
• Refactoring legacy Python code

Split multi-step coding, research, or testing into focused assignments for sub-agents, which are agents handling specific parts of a task. The parent agent retains design decisions, integration, and final verification while independent work runs in parallel.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Exploring separate groups of files in parallel
• Assigning code changes with clear file ownership
• Running focused tests alongside other work

Retrieve past operational experience from OpenViking before or during coding, configuration, deployment, or recovery work. It reads relevant records, checks whether their assumptions match the current environment, and applies suitable procedures and checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Consulting past experience before code changes
• Checking prior procedures for configuration changes
• Finding diagnostic steps after a deployment failure

Investigate LLM application failures with Phoenix CLI by reviewing execution records, recording observations, and grouping mistakes into counted categories. Inspect datasets and experiments to identify which failure types deserve evaluation tests first.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating failures in LLM applications
• Grouping observed mistakes into failure categories
• Choosing which evaluation tests to build first

Create a copilot-instructions.md file from an existing codebase. Identify technology versions, architecture, naming conventions, and testing practices, then turn observed patterns into project-specific guidance for GitHub Copilot without introducing unsupported assumptions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create GitHub Copilot instructions for an existing project
• Document version compatibility requirements
• Capture established coding and testing conventions

Generate a customizable AI prompt for finding representative examples in an existing codebase. Configure analysis depth, categories, and snippets so GitHub Copilot can produce exemplars.md with real file references and explanations of coding conventions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Collecting existing code examples for team guidance
• Documenting patterns to follow when adding features
• Configuring the depth and format of a code example guide

Generate coding agent instruction files from a project's actual code using AgentRC. Capture detected languages, frameworks, and conventions in one shared file or split rules by topic and project area, with a preview before writing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create project instructions for VS Code Copilot
• Refresh agent rules after project changes
• Split monorepo instructions by project area

Design, refine, or review web and iOS interfaces using the product’s existing components and visual style. Consult relevant screen examples when useful, then inspect the result for layout problems, inaccessible controls, and broken interactions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing screens that fit an existing product
• Refining a dashboard or simplifying an interface
• Reviewing layouts and interactions before release

Examine AI product reliability, learning methods, and model limitations through frameworks drawn from Andrej Karpathy’s public statements. Assess the gap between demonstrations and real use, uneven capabilities, and where people should retain control.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assessing AI product reliability beyond a demo
• Planning hands-on study of neural networks
• Examining LLM strengths and failure patterns

Unwrap layers of obfuscated PowerShell malware to recover hidden commands, additional malicious code, and server addresses. Combines script structure analysis with execution tracing and decoding tools to support incident investigation and detection work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating an obfuscated PowerShell script
• Recovering hidden commands and additional malicious code
• Extracting suspicious URLs, IP addresses, and file paths

Compose compact, structured prompts for coding, debugging, review, and research with Codex or GPT-5.4. This internal skill defines task scope, completion criteria, output format, verification steps, and evidence requirements using consistent XML tags.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Define implementation scope and completion criteria
• Include verification steps in debugging requests
• Specify evidence requirements for code reviews