「cycles」の検索結果

Build and validate Blender 5.2 Cycles 3D-to-2D materials using four camera-plane-offset Shader Raycast tests to derive an editable silhouette mask, combined with Cycles-compatible toon or flat shading. Use when a Cycles render needs an in-material outline without Shader to RGB.

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Carbon, nitrogen, phosphorus, sulfur, and water cycles — pools, fluxes, residence times, and anthropogenic perturbations. Covers the fast and slow carbon cycles, the Haber-Bosch disruption of the nitrogen cycle, the phosphorus bottleneck, the hydrological cycle, ocean acidification, and the planetary boundaries framework. Use when tracking chemical elements through atmosphere, hydrosphere, biosphere, and lithosphere; computing pool sizes and fluxes; or evaluating anthropogenic perturbations to global cycles.

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Read back adr-patterns + adr-edges namespaces, surface dangling refs / supersede cycles / status mismatches; exit 1 on cycles

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[omh] Ambitious project goal needing many build cycles: agentic interviewer -> planner -> researcher -> builder -> reviewer cycles until a real gate. Use when the user says: loop, goal loop, long horizon goal, never stop, research plan goal feedback, token exhaustion resume, permission profile, star 10k.

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Use when evaluating markets through Howard Marks-style second-level thinking, credit cycles, risk premiums, market psychology, and defensive versus aggressive posture.

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Use when targeting Global Biogeochemical Cycles (GBC) or deciding whether a biogeochemical-cycling manuscript fits this venue. Encodes the journal's system-scale fluxes/budgets/feedbacks fit, the quantitative biogeochemistry evidence bar, AGU FAIR data-deposition expectations, house style, official-submission re-check, and desk-reject heuristics.

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Use when planning an ACL project calendar across ACL Rolling Review cycles, covering cycle selection against conference commitment windows, backward planning from an ARR deadline, the review-response-meta-review timeline, commitment decisions, resubmission loops to later cycles, and camera-ready through ACL Anthology publication.

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Linear expert for workspace/team admin, Cycles, Projects, Initiatives, Roadmaps, GraphQL API queries, triage workflows, GitHub integration, bulk operations, and Jira-to-Linear migration.

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Automate Blender rendering from the command line. Use when the user wants to set up renders, batch render scenes, configure Cycles or EEVEE, set up cameras and lights, render animations, create materials and shaders, or build a render pipeline with Blender Python scripting.

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管理交付节奏和 Cycle 时间盒时使用。适用于替代传统 Sprint、固定时间可变范围的项目、AI 工作流的快节奏管理。优先使用 Linear Cycles + Basecamp Shape Up + Cooldown 节奏。

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Configure render settings, compositing nodes, output formats, and execute renders via Cycles or EEVEE engines using Python API or command-line interface. Use when automating render execution for batch processing, configuring quality and performance trade-offs, setting up compositing pipelines for post-processing, generating multiple output formats from a single render, or producing final output for publication or presentation.

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Separate expensive observation from cheap decision-making in autonomous agent loops using a two-clock architecture. A fast clock accumulates data into a digest file; a slow clock reads the digest and acts only when something is pending. Idle cycles cost nothing because the action clock returns immediately after reading an empty digest. Use when building autonomous agents that must observe continuously but can only afford to act occasionally, when API or LLM costs dominate and most cycles have nothing to do, when designing cron-based agent architectures with observation and action phases, or when an existing heartbeat loop is too expensive because it calls the LLM on every tick.

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Create polished, validated architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as explorable standalone HTML with inline SVG, dark/light themes, optional trace motion, and PNG/JPEG/WebP/SVG/WebM export. Accept plain-language requirements or pasted Mermaid flowchart, sequenceDiagram, and stateDiagram input; inspect repository evidence when the diagram must reflect real code. Use when the user asks to visualize system architecture, infrastructure, cloud/security/network topology, technical workflows, API call sequences, request lifecycles, data pipelines, ETL/ELT, data lineage, state machines, or to convert/beautify Mermaid. Also use for Archify, interactive or animated HTML diagrams, インタラクティブ図, 動く構成図. When an editable .drawio file is required, use the draw.io workflow instead and treat Archify HTML only as a supplement.

"Apply action research through Plan-Act-Observe-Reflect cycles and Participatory Action Research (PAR) to generate knowledge while improving practice. Use this skill when the user needs to design practitioner research that integrates inquiry with intervention, facilitate participatory research with stakeholders, structure iterative improvement cycles, or when they ask 'how do I research my own practice', 'how do I involve participants as co-researchers', or 'how do I combine research with practical change'.".

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Track design iteration history and apply consistent styling decisions across revision cycles. Use when handling follow-up change requests that reference previous design decisions (e.g., '前回も色で良いんだけど', 'same style as before', 'like we discussed').

Blender Python API リファレンス。bpy / bmesh / mathutils / gpu / bpy_extras モジュール、 bpy.data / bpy.context / bpy.ops / bpy.types / bpy.props コア API。 Mesh / Modifier / Geometry Nodes / Armature / Keyframe / Driver / Shape Key / NLA、 Cycles / EEVEE / Shader Nodes / Rigid Body / Cloth / Fluid / Compositor Nodes / AOV、 headless CLI レンダリング、add-on 開発、Extensions システム、MCP Server (Model Context Protocol)。

以命理场景为主的八字排盘、黄历查询与大运/流年/流月/流日/流时区间查询技能。用于用户请求“算八字”“四柱排盘”“阳历/农历转八字”“查黄历/宜忌”“查未来10年流年”“查下个月流日/流时”等场景；关键词包括：八字、四柱、命理、大运、流年、流月、流日、流时、时辰、阳历转八字、农历转八字、黄历、宜忌、干支日期。真太阳时换算属于辅助能力，仅在需要校时定盘时使用。 / Bazi-first skill for charting, Chinese almanac lookup, and range queries of decade/annual/monthly/daily/hourly luck cycles. Use for requests like “calculate my Bazi”, “convert solar/lunar datetime to Bazi”, “check huangli”, “query next 10 years”, and “check next month daily/hourly cycles”. Keywords focus on Bazi/Four Pillars and fortune-cycle analysis; true-solar-time conversion is an auxiliary step only when time correction is required.

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Create polished, validated architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as explorable standalone HTML with inline SVG, dark/light themes, optional trace motion, and PNG/JPEG/WebP/SVG/WebM export. Accept plain-language requirements or pasted Mermaid flowchart, sequenceDiagram, and stateDiagram input; inspect repository evidence when the diagram must reflect real code. Use when the user asks to visualize system architecture, infrastructure, cloud/security/network topology, technical workflows, API call sequences, request lifecycles, data pipelines, ETL/ELT, data lineage, state machines, or to convert/beautify Mermaid. Also use for everyday subjects with steps, parts, relationships, or states: a leave or travel plan, an application or approval process, a back-and-forth such as renting, where money or documents go, or where an application or order stands. Not for numeric charts or dashboards.

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Read and manage software issues, tickets, projects, and planning data in Linear. Use to review sprints and cycles, identify ticket rollover and release blockers, and update issue status, assignees, priorities, and milestones through Linear's official MCP server.

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Design reusable 2D character pose libraries, action cycles, and expression states for data-driven animation.

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Use p5.js/canvas for local procedural character effects: particles, weather, squash/stretch, walk cycles, and environmental motion.

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360 feedback register: reviewer, subject, review cycle, visibility, due date and score, as CSV, SQL, JSON Schema or Notion on request. Use for 360 reviews or peer feedback cycles.

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Python background job patterns including task queues, workers, and event-driven architecture. Use when implementing async task processing, job queues, long-running operations, or decoupling work from request/response cycles.

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Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use this skill when designing clean architecture for a new microservice, when refactoring a monolith to use bounded contexts, when implementing hexagonal or onion architecture patterns, or when debugging dependency cycles between application layers.

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。