3,109 件 ・ 関連度順
概要と使いどころ
Post-process PFC 5.0 asphalt CSV and image exports into reproducible curves, fields, rose diagrams, animations, and summary tables without relying on a local PFC installation.
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。
Post-process exported PFC 5.0 asphalt DEM data with vedo for particle, force-chain, crack, displacement, velocity, slice, figure, and animation workflows.
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。
Design and audit PFC 5.0 wall servo, loading-rate control, equilibrium checks, micro-to-macro calibration, two-target local solves, DOE campaigns, and independent confirmation for asphalt models.
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。
Build and audit PFC2D/PFC3D 5.0 model foundations for asphalt cases, including lifecycle, domain, balls, walls, clumps, groups, ranges, top-level cmat, staged saves, and source-version purity.
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。
Plan and validate PFC 5.0 asphalt fluid, pore-pressure, buoyancy, seepage, and PFC-FLAC coupling contracts while keeping version-specific commands and licensed coupling assets external.
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 chart and data visualization palettes from Chinese traditional colors. Use when a user needs categorical, sequential, diverging, highlight, dashboard, map, ECharts, D3, Chart.js, or colorblind-aware data palettes with Chinese traditional color identity.
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。
Author and audit PFC 5.0 FISH for asphalt cases, including def/end functions, globals and locals, callbacks, numbered histories, object traversal, command blocks, IO, and stop logic.
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。
Plan, audit, and post-process PFC 5.0 asphalt calibration tests, including compression, diametral loading, direct tension, creep-recovery, test geometry, histories, peak metrics, stiffness, and fistPkg handoff.
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。
Instrument and post-process PFC 5.0 asphalt damage studies using bond-break hits, clustered AE events, macro energy density, source fields, stage summaries, and auditable CSV outputs.
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。
Build PFC 5.0 asphalt-mixture specimens with explicit aggregate objects, a declared homogenized-mastic or fine-particle abstraction, residual air voids, measured gradation conversion, contact-pair assignment, compaction, equilibrium, and mass-volume closure; use before Marshall, rutting, creep, or strength tests.
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。
Optimize oversized agent instruction files using progressive disclosure. Handles CLAUDE.md (Claude Code), AGENTS.md (OpenAI Codex / GitHub Copilot agents), and copilot-instructions.md (GitHub Copilot). Auto-detects all three formats in your repo, analyzes content tiers, creates sub-documents using each format's native mechanism, and rewrites the main file with zero information loss. Triggers: optimize CLAUDE.md, AGENTS.md too long, reduce copilot-instructions.md, agent instructions file too large, shrink context file, apply progressive disclosure, instructions file bloated
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。
Elite UX/UI & Advanced GSAP Motion Engineer. Enforces Python-driven true randomization for layout variance, strict AIDA page structure, wide editorial typography (bans 6-line wraps), gapless bento grids, strict GSAP ScrollTriggers (pinning, stacking, scrubbing), inline micro-images, and massive section spacing. Use when building motion-rich frontend pages with stricter GPT/Codex design enforcement.
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。
Dispatch reviews to external companion AIs (Codex, Gemini, Claude) for an independent second opinion on code changes, PR readiness, doc completeness, architecture, or implementation status. Use when you want a fresh-eyes review beyond Claude-native. Trigger on "get a second opinion", "companion review", "review my changes", "review the PR". For Claude-only quality checks use /code-review.
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 a user asks for or clearly wants to be grilled, interviewed, or to stress-test a plan or design, including when they mention "grill me". Resolve material decisions one at a time until scope, success criteria, and resources are explicit.
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 preparing or publishing a local project as a clean GitHub repository. Covers new repositories, private staging releases, public README cleanup, updates to existing remotes, and research-code packaging without datasets, checkpoints, papers, or generated artifacts.
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。
Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check.
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 designing, redrawing, or validating research-paper figures and tables, including Matplotlib plots, LaTeX tables, benchmarks, captions, legends, annotations, color, and typography. Preserves exact evidence and checks rendered PDFs for clipping, overlap, and readability.
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 planning, drafting, revising, compressing, or auditing conference rebuttals and author responses in OpenReview Markdown or PDF. Supports exact reviewer mapping, evidence and experiment integration, guided risk decisions, venue-format validation, and blind reviewer/AC audits.
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 before writing custom code or a research workflow when a maintained library, tool, skill, or proven pattern may already exist. Start with local reuse and targeted evidence; broaden to external research for new dependencies, new mechanisms, or uncertain external facts.
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 designing, implementing, reviewing, or improving web and mobile UI/UX. Consults searchable design data for product patterns, styles, palettes, typography, accessibility, charts, icons, and common frontend stacks.
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 preparing a desktop or web app update for commit, packaging, installer validation, GitHub publication, release asset upload, or old-release pruning. Protects user data and verifies that published artifacts match the tested build.
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。
Search, screen, deeply read, synthesize, and publish recent research papers for a user-specified topic, window, count, quality/attention balance, and language. Use for evidence-anchored literature digests, cross-paper comparisons, original-language excerpts, Chinese explanations, guided Feishu setup, or Feishu research reports.
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 research writing, reviews, rebuttals, or related-work planning needs academic evidence. Searches literature, screens candidate papers, audits novelty and missing work, verifies DOI/BibTeX/reference metadata and citation authenticity, and checks whether sources support the stated claims.
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 planning a source-grounded method overview, architecture, pipeline, system/data-flow, mechanism, or agent-workflow figure for a CS or deep-learning paper. Produces an editable figure brief before image generation or manual redrawing; not for plots, tables, or general prose.
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。