'iterative' 검색 결과

Improve research code, results, and paper drafts through repeated review by a second Codex agent. The workflow implements fixes, checks them again, and records assessments and unresolved issues across up to four rounds.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Improve research before submitting a paper
• Repeat fixes and reviews of experimental results
• Track unresolved concerns across review rounds

Improve research through repeated Gemini reviews, code changes, experiments, and analysis. The workflow records full feedback and actions, then stops when both the score and readiness criteria are met or the round limit is reached.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Improving research through repeated external reviews
• Implementing and checking fixes for research weaknesses
• Keeping a complete record of reviews and experiments

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

Create academic architecture diagrams and method illustrations with Gemini image generation. The workflow refines layout and visual style, then uses Claude to inspect arrows, labels, and readability and guide further revisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Illustrating a model architecture for a paper
• Turning a method description into a workflow diagram
• Reviewing diagram arrows and labels

Improve a compiled paper through two rounds of external model review, source edits, and PDF rebuilding. Check claims against evidence, resolve inconsistencies, and refine figures and layout, with optional checkpoints and restrictions on which edits are allowed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Revising a generated paper before submission
• Correcting mismatches between claims and evidence
• Improving notation, figures, tables, and layout

Guides iterative improvement of AI agent prompts, skills, and memory using A-Evolve. It explains how to evaluate agents against benchmark tasks, apply changes, validate results, and track or roll back revisions with Git.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Improve an existing agent against benchmark tasks
• Build evaluations for domain-specific tasks
• Refine skills and memory from failure feedback

Build a website one page at a time with Stitch. Each round reads a task file, generates and integrates a page, updates the site plan, and leaves instructions for the next round.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a site with several pages in repeated rounds
• Keep new pages aligned with a shared design guide
• Add pages following a site roadmap

Check generated PDFs against a page limit or target count, then adjust layout and regenerate as needed. Provides a repeatable workflow for tuning margins, images, tables, and text while respecting readability limits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Keep a report within a page limit
• Fit a map PDF onto one page
• Correct overflow caused by images or tables

Inspect unfamiliar Excel workbooks before building extraction scripts. Map sheets, headers, columns, and row patterns, then use those findings to distinguish actual records from summaries and blank rows when extracting data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Inspecting Excel files received from external sources
• Extracting records from sheets with merged cells
• Investigating missing or unexpected extraction results

Runs repeated reviews and fixes on a Claude Code skill until no critical or major findings remain. Tracks findings across rounds, checks change boundaries, and stops for a design decision when fixes stop making progress.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Refining a skill until critical and major findings are resolved
• Improving skill metadata, trigger descriptions, and references
• Tracking recurring findings across review rounds

Co-write proposals, technical specifications, and decision documents through context gathering, section-by-section drafting, and revision. A fresh AI reader then tests the document to reveal unclear explanations, missing context, and contradictions before it is shared.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting a proposal through discussion
• Organizing the structure of a technical specification
• Writing a document that explains a decision

Review a branch's commits, combine adjacent changes that belong together, and improve commit messages. A rebuilt history is prepared separately and replaces the original branch only after the user reviews and confirms the proposed changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Combining unpushed commits on the current branch
• Cleaning up a named branch without checking it out
• Improving unclear commit messages

Structure delegated agent tasks with clear goals, success criteria, and a three-attempt limit. Provides handoff templates and coordinator checks, plus rules for escalating unresolved work and turning research findings into concrete follow-up actions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing clear task briefs for sub-agents
• Checking delegated work against acceptance criteria
• Retrying incomplete tasks with specific corrections

This skill should be used when the user asks to co-author documentation, draft a proposal, write a technical spec, create a decision doc or RFC, or structure a substantial document through iterative collaboration and reader testing.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Agent C3 - Mixed Methods Design Consultant Comprehensive mixed methods research design specialist covering sequential, concurrent, embedded, and multiphase designs with Morse notation. Core Capabilities: - Sequential Explanatory (QUAN → qual): Explain quantitative results - Sequential Exploratory (QUAL → quan): Develop instruments - Convergent Parallel (QUAN + QUAL): Comprehensive understanding - Embedded (QUAN(qual)): Secondary strand addresses different question - Multiphase: Long-term projects with iterative phases - Morse notation interpretation and recommendation

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Collaboratively build and refine paper screening rubrics through brainstorming, test-driven development, and iterative feedback

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Systematic writing framework for philosophy and interdisciplinary academic papers from optimized outline to submission-ready manuscript. Use when users want to: (1) write a paper from a detailed outline, (2) ensure quality control during writing, (3) maintain consistency across chapters, (4) prepare a submission-ready manuscript, or (5) systematically execute a planned paper. Triggered by phrases like 'write the paper from this outline,' 'compose the full manuscript,' 'execute the outline,' or when users have completed strategic planning (academic-paper-strategist skill) and are ready to write. Takes optimized outline as input; outputs complete manuscript with iterative quality checks.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create publication-quality scientific diagrams using Nano Banana 2 AI with smart iterative refinement. Uses Gemini 3.1 Pro Preview for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Iterative diagnose-and-fix workflow that repeatedly uses the diagnose skill to find a proven problem, plan the smallest credible improvement, implement it, re-diagnose, and continue until no useful fix remains or user intervention is required. Requires the diagnose skill; selected installs must also install diagnose. Use when asked to keep debugging, fix and verify, iterate until satisfied, improve after diagnosis, or run a diagnosis/fix/verification loop.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Maintain and patch existing Lark/Feishu documents while preserving comments, highlights, citations, and newer remote edits. Use for iterative document updates, local-mirror sync, or durable project ownership; LoopX integration is optional.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Optimize code performance through iterative improvements (max 2 rounds). Benchmark execution time and memory usage, compare against baseline implementations, and generate detailed optimization reports. Supports C++, Python, Java, Rust, and other languages.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

工作流组合：当一个任务明显需要多件思想武器接力时，提供四种标准组合模式（新项目启动、复杂问题攻坚、方案迭代优化、阶段复盘），定义调用顺序、每步交接物和终止条件。触发信号包括从零启动、疑难攻坚、迭代优化、阶段复盘；单一 skill 就够用时不触发。 English: Workflow patterns. When a task clearly needs several skills in sequence, pick one of four standard patterns (project kickoff, hard-problem assault, iterative improvement, stage retrospective) that fix the order, the handoff artifact between steps, and the stop condition. Skip when a single skill suffices.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Self-improving browser automation via the auto-research loop. Iteratively runs a browsing task, reads the trace, and improves the navigation skill (strategy.md) until it reliably passes. Supports parallel runs across multiple tasks using sub-agents. Use when you want to build or improve browser automation skills for specific website tasks.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create publication-quality scientific diagrams using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.