「feedback」の検索結果

Mines a pull request's review threads for lessons that generalize beyond that PR, reconstructs each against the actual code before deciding, checks whether it is already codified, and routes the genuinely-new, durable ones into Infrahub's internal documentation — `dev/knowledge/`, `dev/guides/`, `dev/guidelines/`, the `AGENTS.md` files, and `.agents/rules/` — proposing edits first and applying only with the user's approval. TRIGGER when: the user wants to turn PR review feedback into durable conventions, guidelines, or rules; capture recurring reviewer comments as internal documentation; or check whether review lessons are reflected in the knowledge/guides/guidelines/AGENTS.md/rules layer. DO NOT TRIGGER when: sweeping a feature's changes for documentation coverage across all layers → use `audit-docs`; extracting knowledge from completed spec directories → `speckit-opsmill-extract`; only replying to or resolving review threads → normal git/gh flow.

日本語の概要は準備中です。原文の説明を表示しています。

oh-my-design 사용 중 불만·결함·아쉬운 점을 구조화된 GitHub 이슈로 접수하고, 쌓인 이슈를 배치로 처리한다. 사용자 모드('이슈 등록해줘', '이거 불편한데 신고할래', '버그 리포트', 'file an issue', '기능 요청')와 내부 도그푸딩 모드(스킬을 돌리다 미흡한 부분을 발견한 오케스트레이터·서브에이전트가 직접 접수) 둘 다 지원. '이슈 처리해줘', 'process feedback', '쌓인 피드백 정리'는 배치 처리 verb로 트리거.

日本語の概要は準備中です。原文の説明を表示しています。

Self-evolving skill system. Skills are scored after execution (0-100) on 5 dimensions. Score 90+ over 5 runs = crystallized (locked). Score below 30 = auto-repair attempted. Skills improve themselves through usage feedback.

日本語の概要は準備中です。原文の説明を表示しています。

Otonom PR yasam dongusu. PR olustur, CI bekle, hata varsa duzelt, review feedback'i uygula, merge'e hazirla. Budget ve zaman limiti ile kontrol altinda tutulan tam otonom PR pipeline'i.

日本語の概要は準備中です。原文の説明を表示しています。

Assembles component outputs from AI Design Components skills into unified, production-ready component systems with validated token integration, proper import chains, and framework-specific scaffolding. Use as the capstone skill after running theming, layout, dashboard, data-viz, or feedback skills to wire components into working React/Next.js, Python, or Rust projects.

日本語の概要は準備中です。原文の説明を表示しています。

Builds AI chat interfaces and conversational UI with streaming responses, context management, and multi-modal support. Use when creating ChatGPT-style interfaces, AI assistants, code copilots, or conversational agents. Handles streaming text, token limits, regeneration, feedback loops, tool usage visualization, and AI-specific error patterns. Provides battle-tested components from leading AI products with accessibility and performance built in.

日本語の概要は準備中です。原文の説明を表示しています。

Structured peer review for analytical work. Use when reviewing teammates' analysis, providing constructive feedback, or establishing analysis quality standards.

日本語の概要は準備中です。原文の説明を表示しています。

Agent self-evolution system. Collects signals from user feedback, stores execution trajectories (golden + correction pairs), analyzes patterns, proposes mutations to workspace files, and generates HTML reports. Trigger with "/evolve" or when the user asks to improve agent behavior. Also use when the user says "remember this pattern", "don't do X again", or "that was a good approach, save it".

日本語の概要は準備中です。原文の説明を表示しています。

Give advisory feedback on a plan, design or code change. Use when: asked for an opinion or a look-over, even informally. Not for acceptance; use Validate.

日本語の概要は準備中です。原文の説明を表示しています。

The compile-readiness gate for prompt auto-optimization. Decide whether you have earned the right to run an optimizer (DSPy MIPROv2 / GEPA / BootstrapFewShot) before spending compute. Two preconditions only — a real metric, and enough examples for the optimizer you picked. Garbage metric in, garbage prompt out. Pick the optimizer by data scale; GEPA inverts the scale assumption (~10 examples + textual feedback).

日本語の概要は準備中です。原文の説明を表示しています。

Systematically gather, score, and format client testimonials. Use when someone needs social proof, wants to collect feedback, needs to turn happy clients into public advocates, or asks for help requesting or drafting a testimonial.

日本語の概要は準備中です。原文の説明を表示しています。

Full conversion audit for any homepage or landing page. Use when someone asks to "review my homepage," "audit my landing page," "why isn't my page converting," "check my website," or wants feedback on their marketing page. Requires URL or screenshot before proceeding.

日本語の概要は準備中です。原文の説明を表示しています。

Pull request lifecycle: commit, codex review, sync, review, fix, status, cleanup, and PR mining. Use when user wants to commit changes, get a second-opinion code review from Codex, push changes, create a PR, check PR status, fix review comments, clean up branches after merge, or mine tribal knowledge from PR reviews. Use for "commit my changes", "codex review", "push my changes", "create a PR", "pr status", "fix PR comments", "clean up branches", "mine PRs", or "address feedback".

日本語の概要は準備中です。原文の説明を表示しています。

Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.

日本語の概要は準備中です。原文の説明を表示しています。

Expert code review specialist for quality, security, and maintainability. Use when reviewing code changes, ensuring high development standards, or conducting security audits. Provides actionable feedback organized by priority.

日本語の概要は準備中です。原文の説明を表示しています。

Use this skill when user asks to "review code", "check for issues", "analyze code quality", "find bugs", or wants feedback on code implementation.

日本語の概要は準備中です。原文の説明を表示しています。

Address PR review feedback systematically — fetch inline comments, review bodies, handle outside-diff-range comments, resolve threads with proper attribution

日本語の概要は準備中です。原文の説明を表示しています。

Verifies review feedback with technical rigor, not blind agreement. Use when receiving review before implementing suggestions.

日本語の概要は準備中です。原文の説明を表示しています。

Generate customer testimonial and social proof video prompts for Seedance 2.0 on Higgsfield. Use for customer stories, case study videos, review showcases, social proof content, success story videos, or any content featuring customer results and experiences. Triggers on testimonial, review, case study, social proof, customer story, success story, results, feedback, client.

日本語の概要は準備中です。原文の説明を表示しています。

Review a plan by running internal reviews and a peer review in parallel and returning combined findings. Use when the user asks to "review my plan", "check my plan", "critique my plan", or wants feedback on a plan.

日本語の概要は準備中です。原文の説明を表示しています。

Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.

日本語の概要は準備中です。原文の説明を表示しています。

Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.

日本語の概要は準備中です。原文の説明を表示しています。

Fetch unresolved PR review comments using GitHub GraphQL API, filtering out resolved and outdated feedback.

日本語の概要は準備中です。原文の説明を表示しています。

Master effective code review practices to provide constructive feedback, catch bugs early, and foster knowledge sharing while maintaining team morale. Use when reviewing pull requests, establishing review standards, or mentoring developers.

日本語の概要は準備中です。原文の説明を表示しています。