'iteration' 검색 결과

Plan and review paid advertising across Google Ads, Meta, LinkedIn, and other platforms. Organize audiences, budgets, and bidding, then assess results using customer acquisition costs and sales data while separating evidence, hypotheses, and missing information.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose advertising platforms and budget allocations
• Review campaign results and decide next steps
• Find wasted spend in search advertising

Inspect an agent’s current model, processing limits, workspace, tools, and message routing details. Diagnose unavailable capabilities, adjust permitted runtime settings, or keep temporary session notes, with advance notice before changes that affect the model or limits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Diagnose why a capability is unavailable
• Check capacity before a large task
• Adjust allowed model presets or iteration limits

Improve an existing AI agent by analyzing execution records, user feedback, and performance metrics. Refine prompts and workflows, compare original and revised versions through tests, and plan staged releases with monitoring and rollback when results worsen.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating recurring agent failures and user corrections
• Refining prompts, examples, and output formats
• Comparing original and revised agents with A/B tests

Coordinate GitHub pull request reviews by assigning comment triage and code changes to dedicated sub-agents. Repeat the process, track decisions and progress, and reply to and resolve threads as fixes are completed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Work through outstanding pull request review comments
• Separate required fixes from items outside the pull request scope
• Repeat review and implementation until actionable items are cleared

Move GitHub labels and Project V2 field values into organization-wide issue fields, structured properties shared across repositories. Review mappings and conflicts before migration, preserve existing values, and optionally remove migrated labels.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Convert priority labels into a shared Priority field
• Copy project priorities and due dates into issue fields
• Preview migration changes without updating issues

Shape agent collaboration around focused clarification, practical options, and small steps that can be checked. This profile emphasizes early drafts, preserving the user's intent, and turning agreed direction into concrete outputs through iteration.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Start with a draft and refine it together
• Clarify blockers with a focused question
• Compare practical options and tradeoffs

Design workflows that evaluate and refine AI outputs through self-review, separate generation and evaluation roles, tests, or weighted scoring criteria. Includes patterns for structured feedback, iteration limits, and stopping when quality stops improving.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding self-review and revision loops to AI outputs
• Separating generation from evaluation
• Refining generated code using test results

Run repeated code improvement experiments with multiple agents. It plans and reviews candidate changes, compares benchmark results, merges candidates that pass rechecking, and records progress until a target, iteration limit, or another stopping condition is reached.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing several code improvement ideas with benchmarks
• Running repeated experiments toward a measurable target
• Tracking candidate scores and experiment history

Examine startup ideas, product demand, writing, and career choices through frameworks drawn from Paul Graham’s essays and interviews. Reframe unclear questions, consider user needs and growth, and use writing and iteration to uncover better directions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Testing startup directions against real user needs
• Reviewing a company through its founders, product, and growth
• Using writing to clarify an unfinished idea

Create detection rules and investigation queries from API access logs to flag repeated identifier probing and unusual authorization responses. Helps investigate attempts to access other users’ data and review logging and rate limits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspected unauthorized API data access
• Creating detection rules for repeated identifier probing
• Reviewing API logging and rate limits

Helps speed up LLM text generation by comparing methods that predict and verify multiple tokens at once. Covers draft model selection, Medusa prediction heads, Lookahead Decoding settings, and deployment examples for inference services.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reducing chatbot response latency
• Comparing methods for faster code generation
• Selecting a small draft model for a larger LLM

Turn a feature into an agent skill or improve an existing one. Define purpose-specific quality criteria, review outputs with models from three providers, then add tests and check that user requests reach the intended skill.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn a reusable feature into an agent skill
• Audit an existing skill for missing parts
• Check quality after fixing or extending a skill

Create or improve a company-specific data analysis skill by gathering analysts’ knowledge and examining database structures. Document business terms, metric formulas, table relationships, and common query patterns in reusable reference files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a data analysis skill for a company
• Document metric formulas and standard exclusions
• Add knowledge about a new business domain

Investigate difficult bugs by adding temporary logs to the actual execution path and reproducing the reported behavior. Analyze JSONL logs, which store one structured event per line, then fix the cause, verify regression tests, and remove debugging artifacts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating bugs that occur only during manual use
• Tracing event order in streaming or concurrent operations
• Checking whether passing tests cover the reported bug

Guide substantial qwen-code feature development from investigation and design through implementation, testing, and review. Produce design documents and end-to-end test plans, compare behavior before and after changes, and address verified review findings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Developing features that span multiple files
• Documenting a design before implementation
• Comparing behavior before and after a change

Improve prompts through test cases and baseline comparisons, measure how well AI answers use retrieved sources, and check agent configurations. Includes Python tools for prompt analysis, retrieval quality reports, and token estimates, with costs calculated from supplied rates.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare prompt revisions against a baseline
• Measure answer quality against retrieved sources
• Check agent tool settings and loop risks

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

Investigate cmux interface and runtime problems using debug logs, profiling, and the Debug menu. It guides changes to terminal rendering and tab lists, with checks for typing latency, SwiftUI state handling, and differences between macOS versions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating focus and tab switching problems
• Checking typing latency after rendering changes
• Tuning layout and colors through Debug windows

Write JavaScript for n8n Code nodes to aggregate, filter, and transform workflow data. Guidance covers data access, output formats, execution modes, common errors, and performance choices when processing large numbers of records.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Aggregating and deduplicating multiple records
• Transforming complex API responses
• Fixing data access and return format errors

Explore hardware and electronic design configurations by repeatedly running programs, measuring results, and adjusting parameters. Track constraints and every trial, then report the best configuration found within the time and iteration limits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Tuning cache sizes and processor configuration
• Reducing circuit area while meeting timing constraints
• Comparing compiler flags for runtime or code size

Manage isolated working environments in OpenShell using its command-line tool. Register gateways, create and connect to sandboxes, configure credential providers, and reuse workload templates with shared images, environment settings, and computing resources.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create and connect to a sandbox
• Configure and refresh provider credentials
• Inspect and import provider profiles

Reduce LLM generation delays with speculative decoding, which proposes tokens ahead of verification. This skill compares small draft models, Medusa, and Lookahead Decoding, with implementation examples, tuning guidance, and deployment using vLLM.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reducing response delays in chatbots
• Speeding up code generation
• Choosing a small model to draft candidate tokens

Coordinate AI research from literature review and hypothesis testing to findings and paper drafts. The skill alternates focused experiments with broader reflection, maintains project records, and directs specialized skills to carry out research tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning a research question into testable hypotheses
• Managing repeated experiments across multiple hypotheses
• Resuming research from recorded findings and project state

Create screen mockups at three levels: text wireframes, standalone HTML files, or working prototype pages. Use requirements, existing app styles, and real project data to show layouts and interactions for review or testing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Sketch screen layouts while writing requirements
• Deliver HTML mockups alongside requirements
• Test interactions with existing components