「retro」の検索結果

Ведёт задачи штаба: по итогам сессии обновляет файл задачи или issue на GitHub и отвечает на вопрос „что по задаче“. Если задачи лежат в файлах, обновляет файл задачи отдела и сводку дня в штабе. Если задачи на GitHub, ищет issue во всех репозиториях, обновляет описание issue, пишет комментарий о сделанной работе, следит за parent epic, W-label и местом на доске Project, убирает закрытые задачи из плана дня и недели. Применять по: „/manager“, „синкни сессию“, „обнови issues“, „зафиксируй прогресс“, „создай issue“, „статус задачи“, „что по …“, „есть ли issue по …“, „sync session“, „track status“, „what about …“. Не применять: план дня — daily, ретро — retro.

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 when the user is transitioning from a completed retro into a weekly plan, choosing weekly outcomes, scheduling a full ISO week, or asking for "план на неделю", "weekly planning", priorities, capacity, or outcomes.

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 when the user asks for "ретро", "обзор недели", or "что было за неделю" and the department needs a fact-based closeout plus its next Area goal.

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。

Run a cumulative daily or retrospective sweep of research papers on a chosen topic, audit their claims, methods, integrity signals, and independent support, then identify overlooked but feasible project or business opportunities in a detailed source-grounded report. Use when asked to monitor papers every day, mine buried research, evaluate whether a paper is credible or reproducible, find unimplemented research ideas, or separate promising work from hype, weak evidence, and retracted or contradicted results.

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 professional reports — sprint retrospectives, financial summaries, analytics dashboards, and incident postmortems — from structured data with templates, charts, and multi-format output. Use when the user requests report generation or provides relevant inputs for this workflow.

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。

Think and work like an expert Fisheries Scientist. Use when a task calls for Fisheries Scientist judgment. Reasons from recruitment, growth, and natural and fishing mortality through state-space assessment models (SS3, SAM, JABBA), CPUE/GLM standardization, and reference points like F_MSY and B_lim under ICES and Magnuson-Stevens frameworks, while treating hyperstability, retrospective bias (Mohn's rho), unaccounted discard mortality, and misspecified M or selectivity as first-class failure modes.

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。

Produce anime-style and stylized 2D animation with generative image and video tools as a craft discipline, not a filter. Use when a request asks for anime, manga-style, cel-shaded, sakuga, shonen/shojo/seinen/slice-of-life, mecha, or retro-90s-OVA animation; when planning shots, motion, and cutting rhythm to anime convention; when holding a character on-model and preventing style drift across shots or episodes; when choosing prompting vocabulary that actually controls anime look; when pairing voice, music, and impact SFX to stylized action; and when navigating the cultural, IP, and platform-policy sensitivities of AI anime (studio/artist style imitation, fan-art and IP boundaries, disclosure and monetization). This is provider-neutral; models are named only as illustrative options.

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。

Session 回顧報告：提取本次對話的關鍵決策、完成事項與改善建議。適合 session 結束前或 /compact 前使用。

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。

Beautiful, copy-paste-ready Home Assistant dashboard designs with complete CSS themes, card-mod styles, and button-card templates. Nine distinct visual styles: Glassmorphism, Dark Minimal, Material You, Nordic, Neon/Cyberpunk, Warm Home, Soft Pastel, Luxury Gold, and Retro Terminal. Use this skill whenever the user wants to make their dashboard look good, asks about card styling, CSS for Home Assistant, card-mod, button-card templates, Lovelace themes, dashboard aesthetics, or wants a specific visual style - even if they don't use the words "design" or "CSS".

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。

A multi-day digest of the user's own coding-agent sessions — sessions per day and project, most-edited files, and every lesson Cognee distilled into the knowledge graph in that window. Use only when the user explicitly asks for a weekly digest, a retro, a recap or report of their recent sessions, or invokes /cognee-digest. Not for questions about code or the current task.

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。

A multi-day digest of the user's own coding-agent sessions — sessions per day and project, most-edited files, and every lesson Cognee distilled into the knowledge graph in that window. Use only when the user explicitly asks for a weekly digest, a retro, a recap or report of their recent sessions, or asks for the `cognee-digest` skill by name. Not for questions about code or the current task.

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。

Converting technical knowledge into durable learning documents and publishable articles. Use for diff-based teaching, decision records, onboarding, note/Zenn/Qiita/dev.to posts, article series, retrospectives, and cross-platform repurposing.

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。

Planning releases and reporting delivery work from GitHub PR history. Use when versioning, CHANGELOGs, rollout or rollback plans, engineering metrics, retrospectives, or stakeholder reports are needed.

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。

Retroactive 6-pillar visual audit of implemented frontend code

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。

Retroactively audit and fill Nyquist validation gaps for a completed phase

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。

Retroactively verify threat mitigations for a completed phase

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。

Retroactively audit an executed AI phase's evaluation coverage — scores each eval dimension as COVERED/PARTIAL/MISSING and produces an actionable EVAL-REVIEW.md with remediation 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。

Create distinctive, production-grade frontend interfaces with high design quality using Mobile First strategy. Analyzes design systems from screenshots, generates Tailwind CSS + Shadcn UI configurations, and retrofits existing projects. Optimized for Claude Opus 4.5 with structured decision trees and self-verification checkpoints.

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。

Maintain the durable, per-ticket run log that warp deploy/update skills append to at every milestone — a Linear-document-by-title primary with single-writer discipline and a local-file fallback, a machine-parseable per-chain row plus prose entry shape, and a surface-the-URL-as-proof hard gate. Referenced by any warp deploy/update skill that must leave a retrospective trail across worker restarts.

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。

Rhythmic analysis, meter classification, groove mechanics, and cross-cultural rhythmic systems. Covers simple and compound meter, asymmetric meters, polyrhythm, polymetric structures, metric modulation, swing and groove analysis, syncopation patterns, hemiola, additive vs. divisive rhythm, African timeline patterns, Indian tala, and Messiaen's non-retrogradable rhythms. Use when analyzing rhythmic structure, identifying meter, studying groove, or working with non-Western rhythmic systems.

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。

Teaching home-economics skills as a durable practice across generations and capacity levels. Covers scaffolded task sequencing, the one-in-one-out rule, the apprenticeship model, learning by failure tolerance, family retros, the edible schoolyard framework, and the difference between teaching a recipe and teaching a kitchen. Use when designing a home-ec curriculum for children or adults, diagnosing why a taught skill is not being practiced, or building a household practice that survives the departure of the teacher.

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 when you have captured session evidence — session-retro / session- observatory-live traces in .planning/patterns/, tool logs, correction records — and want to induce a reusable skill from it. Segments the traces into candidate skill units (an LLM judgment, not a deterministic parse) and decomposes each candidate into a four-part structured spec: workflow structure, execution semantics, and runtime attachments (verification, safety, rollback, state). It emits a spec object, NOT a finished SKILL.md, and hands that spec to skill-forge. It sits between skill-integration (upstream frequency detector) and skill-forge (downstream author). Backed by Agent-Trace-to-Skill Induction (arxiv 2606.06893v1). Triggers on inducing a skill from captured traces, turning a repeated pattern into a skill spec, and preparing evidence for skill-forge.

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。

Retroductive hypothesis sampling via MCMC: given observations, importance-sample explanations weighted by P(observation|hypothesis) using Gay.jl colored particles as hypothesis candidates.

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。

Scan the current chat session for durable learnings (clarifications, corrections, decisions, pitfalls) and update .agent/memory.md. Use after critical review and before concluding work.

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。