'responses' 검색 결과

Turn research findings into academic abstracts, public summaries, press releases, and social posts tailored to each audience. Also supports reviewer responses, study pre-registration, reporting checklists, and checks on consistency and reproducibility.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting an abstract for journal submission
• Explaining research findings to the public
• Preparing point-by-point reviewer responses

Coordinate collaborative academic and policy writing, from author roles and timelines to draft revision, reviewer responses, and submission materials. Improve clarity and reproducibility while preserving authorial voice and flagging changes to claims or interpretations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organizing coauthor roles and writing timelines
• Revising a methods section for clarity and reproducibility
• Drafting responses to reviewers

Draft economics papers with section outlines, paragraph plans, and original prose for abstracts, introductions, results, and more. Checks help align causal wording with the research design and keep missing evidence clearly marked.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting an economics paper's abstract and introduction
• Explaining regression results in prose
• Writing data and identification sections

Develop game theory papers from topics, model ideas, or drafts. The skill guides research questions, model design, equilibrium analysis, writing, and revision, with checks for mathematical rigor, citation gaps, and responses to reviewer comments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn a research topic into a game theory model
• Check equilibrium analysis and proofs
• Revise a draft's structure and wording

Add a short status line to the end of agent responses so readers can see whether work is finished, a specific follow-up remains, or progress depends on their input.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check whether an agent has finished the requested work
• Identify specific follow-up tasks at the end of a response
• Standardize status reporting through project instructions

Implement Gemini API applications in Python or TypeScript for text, image, video, and speech generation. Covers ongoing conversations, external tool calls, structured responses, background research, managed agents, and migration from the older generateContent API.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a chatbot that retains conversation context
• Add image, video, or speech generation to an app
• Connect external tools and return structured data

Investigate fast-agent session files and logs to diagnose unexpected endings, tool loops, and mismatched tool responses. Inspect conversation history, summarize model and tool execution times, and connect sub-agent traces with the corresponding main-session activity.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate an unexpectedly ended session
• Check tool loops and missing tool responses
• Identify slow model calls and tool executions

Plan a livestream for product sales, knowledge sharing, entertainment, or a brand event. Generate a timed running order, conversational scripts, audience interaction segments, preparation checklists, and responses to quiet moments, negative comments, or technical problems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan a sales livestream and product presentation order
• Write a running order and script for a knowledge-sharing stream
• Prepare audience interactions and transitions

Find user-generated content about a brand or account, including fan posts, reviews, and community discussions. Get a source-linked report that highlights posts worth engaging with, separates negative feedback, and suggests responses.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding posts that mention a brand or account
• Discovering fan posts worth sharing
• Reviewing product reviews and community discussions

Draft posts for multiple social platforms with opening lines, body text, hashtags, and prompts for audience responses. Get platform-specific variations, visual suggestions, and follow-up ideas tailored to the topic, audience, and account style.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adapt one topic into posts for multiple platforms
• Draft posts that invite comments and responses
• Compare alternative versions of a post

Add language model features to a PinMe TypeScript Worker through its OpenRouter proxy. The skill guides code for listing models, chat responses, streaming text as it arrives, web search, and handling API errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add AI chat to a PinMe app
• Display generated responses as they arrive
• Let a model search the web

Add HTML email sending to a PinMe TypeScript Worker. The skill guides recipient, subject, and message fields, authentication with the project API key, and code that checks delivery API responses and handles network or service errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add verification code emails to an app
• Send HTML messages from a Worker
• Check email API success and failure responses

Optimize Claude API performance with prompt caching, model selection, streaming, and latency reduction techniques. Use when experiencing slow responses, optimizing token usage, or reducing time-to-first-token in production. Trigger with phrases like "anthropic performance", "claude speed", "optimize claude latency", "anthropic caching", "faster claude responses".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build traceable internal-review proposal, RFI, RFP, tender, bid, and questionnaire responses from supplied questions and approved sources. Use to analyze questions, contribute business or product evidence, or draft qualified responses.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Work with Typeform: list forms and responses, create forms, and (with confirmation) manage response webhooks. Trigger phrases: typeform, form responses, typeform webhook, typeform forms, create form.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when writing test fixtures for @copilotkit/aimock — mock LLM responses, tool call sequences, error injection, multi-turn agent loops, embeddings, structured output, sequential responses, or debugging fixture mismatches

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

RFP creation, distribution, evaluation, and shortlisting for in-house legal teams selecting outside counsel. Draft a new legal services RFP from scratch, evaluate firm responses against weighted criteria, produce a shortlist recommendation with selection rationale for GC sign-off, or design the end-to-end RFP process from scratch. Trigger on: 'draft an RFP', 'run an RFP process', 'evaluate firm responses', 'score the RFP submissions', 'which firms should we shortlist', 'selection recommendation', 'how do we run a panel RFP', 'RFP for legal services', 'pitch process', 'firm selection process', 'compare the proposals', 'we're reviewing our panel', 'panel refresh RFP', 'we need to go to market', 'request for proposal', 'evaluate the pitches', 'which firm won the RFP', 'write a legal RFP', 'RFP evaluation criteria', 'design the RFP process', 'how do we weight the criteria'.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate templated responses for common legal inquiries and identify when situations require individualized attention. Use when responding to routine legal questions — data subject requests, vendor inquiries, NDA requests, discovery holds — or when managing response templates.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

BEER implements a Bayesian model for analyzing phage-immunoprecipitation sequencing (PhIP-seq) data. Given a PhIPData object, BEER returns posterior probabilities of enriched antibody responses, point estimates for the relative fold-change in comparison to negative control samples, and more. Additionally, BEER provides a convenient implementation for using edgeR to identify enriched antibody responses.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Plan, triage, and write academic rebuttals and review responses. Use when an AI research agent needs to handle conference, journal, workshop, or grant reviews; classify reviewer concerns; decide what evidence or experiments can change the decision; write an AC-facing executive summary; draft per-reviewer responses; correct factual misunderstandings without sounding hostile; handle novelty, baseline, method, experiment, clarity, and scope objections; or produce a final rebuttal checklist.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

When a founder needs demo scripts, discovery call frameworks, objection handling, RFP/RFI responses, competitive feature matrices, POC planning, or closing playbooks. Activate for sales calls, demo prep, talk tracks, bid responses, competitor comparisons, or pre-sales engineering.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Compresses verbose responses by removing filler and framing to save 200-400 tokens. Use when responses feel bloated or context is filling fast.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Debug Fastly Compute deployments that appear successful but return stale/wrong responses. Use when: (1) fastly compute publish succeeds but version check shows old version, (2) new endpoints return 404 after deployment, (3) cache-busted requests work but regular requests fail, (4) fastly domain list doesn't show your custom domain. Covers edge propagation timing, cached error responses, and domain management API differences.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate templated responses for common legal inquiries and identify when situations require individualized attention. Use when responding to routine legal questions — data subject requests, vendor inquiries, NDA requests, discovery holds — or when managing response templates.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.