'feedback' 검색 결과

Customer feedback analysis — sentiment detection, NPS/CSAT frameworks, feature request clustering, support ticket triage, churn signal detection, and feedback-to-roadmap translation

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Help users draft and, when authorized, submit feedback to volcengine/volcengine-skills: skill problems, missing capabilities, cloud scenarios, and successful Agent workflows. Use for explicit feedback or sharing requests, or an optional invitation at a natural summary after Volcengine CLI errors or an incompletely solved task. Feedback never blocks the main task.

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Inject juice and game feel into gameplay code using the project's chosen middleware. Use when adding screen shake, tweens, particles, audio feedback, haptics, hitstop, or any form of "juice" to gameplay events. Triggers on requests like "add juice", "make this feel better", "add screen shake", "polish this feature", "add feedback to this action", "make the hit feel impactful", "add particles when", "screen shake on damage", "tween this", "add camera shake", "make this snappy", or any game feel, polish, or feedback work. Always reads ProjectConfig.yaml -> feel_tools and docs/GFD.md Feedback Matrix before generating code.

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Deliver feedback using Kim Scott's Radical Candor framework - care personally while challenging directly. Use when a leader needs to give difficult feedback, says "I need to tell someone something hard", "how do I give feedback without hurting them", "I've been avoiding a conversation", "my direct report isn't performing", "someone on my team has a blind spot", "I keep sugarcoating things", or "how do I be honest without being a jerk". Also trigger when someone describes being too nice (ruinous empathy) or too harsh (obnoxious aggression), or when they describe avoiding a conversation they know they need to have.

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Navigate difficult conversations and deliver constructive feedback using structured frameworks. Covers the Preparation-Delivery-Follow-up model and Situation-Behavior-Impact (SBI) feedback technique. Use when preparing for difficult conversations, giving feedback, or managing conflicts.

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Identifies when task outputs require iteration based on quality signals, unmet requirements, or explicit feedback. Triggers appropriate re-execution strategies. Activate on 'needs iteration', 'retry needed', 'not good enough', 'try again', 'refine output'. NOT for feedback generation (use dag-feedback-synthesizer) or convergence tracking (use dag-convergence-monitor).

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Address GitHub PR review comments at line, file, and PR level by fetching, evaluating, fixing, committing, and resolving feedback. Use when invoked as `$pr-resolve-review-feedback` or when the user asks to resolve PR feedback.

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Identifies when task outputs require iteration based on quality signals, unmet requirements, or explicit feedback. Triggers appropriate re-execution strategies. Activate on 'needs iteration', 'retry needed', 'not good enough', 'try again', 'refine output'. NOT for feedback generation (use dag-feedback-synthesizer) or convergence tracking (use dag-convergence-monitor).

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Act on user feedback attached to the current session. Use when the user submits feedback on the session's changes via the Submit Feedback button.

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OpenClaw 릴리스 후보의 수동 테스트를 위해 격리 복사본 등의 환경을 준비합니다. 테스트 진행과 피드백 정리, 공개 전 보고서 확인을 지원합니다.

• Gateway 격리 복사본에서 검증
• 사람이 조작 화면별로 테스트
• 공개 전 검증 보고서 확인

코드 리뷰 의견을 실제 코드와 지원 환경에 대조해 타당성을 확인합니다. 불명확한 내용을 정리하고 근거를 들어 답변하며, 수정 사항마다 테스트합니다.

• 모호한 리뷰 의견을 정리할 때
• 제안된 변경의 호환성을 확인할 때
• 추가하려는 기능의 실제 사용 여부를 조사할 때

Generate several AI design options, view them on a comparison board, and collect organized feedback. Use the results to explore visual directions and refine designs when a feature’s appearance is undecided or an existing interface needs improvement.

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• Compare visual directions for a new interface
• Explore alternatives to an existing screen design
• Organize feedback on multiple design options

Check earlier Paperclip tasks for verified progress and actual deliverables, then report findings with links. When requested, add feedback as the connected person, with safeguards against posting the same comment twice.

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• Check progress and deliverables from earlier tasks
• Add feedback to a task as the connected person
• Monitor task updates in an environment that supports Events

Explore recommended papers in Paperzilla projects, search project feeds, and summarize available paper text. The skill also helps explain research relevance, record recommendation feedback, export records as JSON, and retrieve personal feed URLs.

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• Review recent paper recommendations for a research project
• Summarize a paper and explain its relevance to your research
• Export papers or recommendations as JSON

Design and implement interface responses such as button feedback, loading indicators, page transitions, and swipe gestures. Use motion to communicate actions and state changes, with guidance on timing, performance, and support for people who prefer reduced animation.

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• Adding hover and click feedback to buttons
• Showing loading placeholders and progress indicators
• Creating transitions for pages and interface components

Review code changes through a structured check of requirements, design, correctness, security, performance, and tests. Produce specific, constructive feedback that separates required fixes from optional suggestions, and build shared review guidelines for a development team.

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• Review a pull request systematically
• Create a shared code review checklist
• Give actionable feedback to junior developers

Organize human review in Arize by defining label choices, numeric ranges, or free-text feedback fields. Manage review queues and reviewers, submit annotations for individual records, and apply existing labels to project spans, or individual processing records, in bulk.

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• Define shared labels and scoring ranges for reviewers
• Create review queues and assign reviewers
• Record feedback on individual queue items

Explore training workflows that reduce harmful model responses using a written set of principles. The skill covers self-critique, revised training examples, and RLAIF, reinforcement learning from AI feedback, with implementation examples and hardware guidance.

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• Designing principles for model safety training
• Creating training examples through self-critique and revision
• Planning reinforcement learning with AI-rated responses

Prepare self-assessments, manager reviews, and documents for meetings that align employee ratings. Structure achievements, goal evidence, development plans, and promotion cases, turning vague feedback into specific observations about behavior and impact.

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• Prepare a self-assessment for a review cycle
• Write a manager review for a direct report
• Prepare team rating and promotion discussions

Turn interview notes, survey responses, and customer feedback into findings supported by evidence. Group recurring themes, assess frequency and impact, and produce prioritized recommendations to guide product improvements and future research.

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• Finding shared issues across user interviews
• Organizing themes in open-ended survey responses
• Prioritizing improvements from support tickets

Review a Figma design, screenshot, or written description for usability, visual hierarchy, consistency, and accessibility. Receive specific findings, explanations, and prioritized improvements, with feedback tailored to the design stage and intended users.

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• Reviewing an early screen design
• Checking navigation and onboarding usability
• Finding inconsistent colors, spacing, and typography

Analyze meeting transcripts to understand speaking share, verbal habits, listening, and facilitation. Receive feedback grounded in specific quotes, practical suggestions for future meetings, and comparisons across periods when enough meeting data is available.

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• Reviewing speaking share and turn-taking in meetings
• Identifying filler words and indirect phrasing
• Improving questions and listening habits

Run a structured sprint retrospective, a review of a short work cycle, using team feedback and delivery results. Identify shared themes and produce two or three prioritized improvements with owners, deadlines, and measures of success.

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• Facilitating a team retrospective
• Grouping survey responses and team feedback
• Turning problems into assigned improvement actions

Monitor an open GitHub pull request over time, respond to review feedback, and address automated check failures. Apply and push fixes, then report whether it appears ready to merge or what still blocks progress.

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• Monitoring a pull request until it appears ready to merge
• Addressing review feedback as it arrives
• Handling automated check failures during review