'persistent' 검색 결과

Track tests that pass and fail on unchanged code using GitHub CI history. Score their instability over multiple runs, propose reasoned skips in a pull request, maintain a tracking issue, and summarize findings in Slack.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate tests that alternate between passing and failing
• Propose temporary skips with evidence and reasons
• Track quarantined tests in one GitHub issue

Guide Pi agents through repeated failures or unverified completion using competing hypotheses, small verifiable actions, and relevant checks. It separates self-review from external pass-or-fail decisions and requires evidence and remaining risks in delivery reports.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Revisiting hypotheses after repeated failures
• Delivering results with evidence and remaining risks
• Keeping self-review separate from external evaluation

Test an idea, strategy, or investment against 11 future time horizons, from six months to 50 years. Compare scenarios with probability ranges, identify structural risks, and review or update the underlying world models.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Testing an investment thesis across time horizons
• Reviewing long-term risks to a business model
• Updating future scenarios after major events

Map sensitive data across the systems you manage, explore what a compromised asset could expose, and maintain a risk register. Record likelihood, impact, owners, mitigations, and review dates to support ongoing security planning.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Locating sensitive data across managed systems
• Assessing the impact of a compromised server or worker
• Recording risk owners, mitigations, and review dates

Build, run, and troubleshoot Docker containers, which package applications and their dependencies. Improve Dockerfiles and Compose configurations to create smaller images, manage persistent data, and address startup, networking, and resource issues.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating or improving a Dockerfile
• Investigating container startup failures
• Configuring multiple services with Compose

Diagnose why an AI agent becomes less reliable as conversations and documents accumulate. Distinguish missed information, persistent false claims, irrelevant material, mixed tasks, and conflicting sources, then choose ways to clean, reorganize, or separate the context.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating declining quality in long conversations
• Recovering from false claims that persist after correction
• Resolving conflicts between retrieved documents

Set up a new Obsidian vault, a folder for linked notes, or adopt an existing one. Select the working vault and route requests to the appropriate skills for importing sources, answering questions, saving results, or maintenance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up a new Obsidian knowledge vault
• Adopt an existing vault
• Configure vault selection across projects

Carry out website tasks in a remote browser, including expense submissions, authorized orders, and retrieving data behind a login. Personal browser profiles preserve sign-ins, while users handle login and verification screens themselves.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Submit an expense with a receipt attachment
• Order food within an agreed budget
• Retrieve data from a signed-in website

Draws points, lines, arrows, boxes, and text over a running CARLA world to visually check positions, paths, and objects. Sets colors and display lifetimes for temporary debugging overlays, without creating persistent actors or output files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Marking a world position for inspection
• Visualizing paths and waypoints
• Adding a box and label around a target

Build AI agents by connecting workflow blocks in AutoGPT's visual editor. This skill covers multi-step automation, scheduled runs, webhooks that start work after external events, execution monitoring, and custom agent development.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an AI workflow in a visual editor
• Start an agent when an external event occurs
• Run a multi-step workflow on a schedule

Run machine learning workloads on Modal's cloud GPUs without managing servers. Guides Python configuration for training, inference, batch processing, and API deployment, including automatic scaling, persistent storage, scheduled jobs, and troubleshooting.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Running GPU inference without managing servers
• Deploying a model as an automatically scaling API
• Processing large batches in parallel

Automate website navigation, form filling, data extraction, and web app checks while keeping page state between scripts. Use a new Chromium session or connect to an existing Chrome session through an extension.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Completing workflows in an existing signed-in Chrome session
• Filling forms and extracting website data
• Checking web app behavior and capturing screenshots

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

Investigate bugs through symptom gathering and hypothesis testing, with saved investigation state across context resets. Resume earlier sessions, check their status, or request a root cause report without applying a fix.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate a bug through hypothesis testing
• Resume an investigation after a context reset
• Diagnose the root cause without applying a fix

Build and maintain a Markdown knowledge base from source materials, with linked pages and traceable evidence. Use accumulated knowledge to answer questions, preserve reusable research, and check for conflicting claims, outdated information, broken links, or missing index entries.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add source materials to a linked knowledge base
• Answer questions using accumulated research
• Check conflicting or outdated claims

Turn law study outlines, notes, or textbook excerpts into flashcards, then practice one question at a time in chat. Self-assessment updates learning stages and review dates, while subject-level statistics highlight concepts that need more work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating rule memorization cards from class notes
• Practicing a focused five-card study session
• Reviewing previously missed or due cards

Plan international hiring by comparing an employer of record, a provider that employs staff locally, with a local entity. Prepare stakeholder questions, draft local counsel briefing requests, and track unresolved tasks across sessions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare local hiring through an employer of record or an entity
• Prepare questions for tax, finance, and HR teams
• Draft a country-specific briefing request for local counsel

Start planning hiring in a new country by gathering requirements, comparing an employer of record with a local entity, identifying questions for different teams and country-specific concerns, and creating a tracker for ongoing follow-up.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning a first hire in a new country
• Comparing an employer of record with a local entity
• Preparing questions for teams involved in expansion

Add an AI agent backend to a Convex app with persistent conversations, streamed messages, and tool calls. It also supports document retrieval for grounded answers, using Convex AI Gateway for model calls where available.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add an AI conversation feature to a Convex app
• Store conversation threads and message history
• Build answers using retrieved documents

Guide an AI agent through ClawWork, an economic survival simulation where task rewards must cover API token costs. Defines a daily choice between work and learning, artifact submission, knowledge storage, and priorities based on the remaining balance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose work or learning based on the remaining balance
• Create and submit task artifacts for evaluation
• Save research findings to persistent memory

Execute an implementation plan by assigning each independent task to a fresh helper agent in sequence. Review specification compliance and code quality after each task, track decisions in files, and finish with a review of the entire branch.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Execute a plan with separate implementation and review roles
• Check specification compliance and code quality after each task
• Resume work using a persistent progress ledger

Review how an AI agent loads, retains, summarizes, and shares working information. This historical guide helps examine forgotten constraints, repeated actions, tool selection, and handoffs using context engineering practices published in 2024–2025.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing information loaded at startup versus on demand
• Investigating repeated actions or forgotten constraints
• Planning summaries and persistent task notes

Hand off OpenRig work through persistent queue items that record the next owner, blockers, and closure reasons. The skill covers notifying recipients, escalating to a human, and keeping supporting evidence accessible across interruptions and missed messages.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Passing completed work to the next agent
• Recording work blocked by another task
• Escalating a decision to a human

Ask questions about documents in Google NotebookLM from Claude Code and receive source-grounded answers with citations. Manage a local notebook library, find notebooks by topic, and combine follow-up answers into a response.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find answers in uploaded documentation
• Register a notebook with a description and topics
• Search saved notebooks by topic