「cis」の検索結果

Build animations and interactive elements (explainers, figures, hero visuals, step-through walkthroughs) in the crafted isometric "Anatomy" style, with many small precise solid parts, four-tone shading, correct painter's order, a framed card with title, hint and live readout, and calm eased motion. Works for physical machines and for abstract concepts (e.g. how an LLM picks its next token), as SVG/HTML or React/Next.js, with optional in-perspective WebGL shaders. Use this whenever someone wants an isometric animation, interactive element, explanatory diagram or figure for docs, a blog post, a landing page or an article, a "Linear-style" or "premium" technical drawing, or an SVG that shows how a system, algorithm or component works, even if they never say "isometric".

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 minimal, fully spec-conformant fixture skill used to exercise the happy path.

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。

Define or review a visual system, DESIGN.md, or redesign direction. Use for typography, layout, color, motion, and interaction design decisions.

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。

Evaluate system boundaries and architectural tradeoffs. Use for architecture decisions, design reviews, and ADRs.

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。

Architecture specialist for software/system design, module and service boundaries, tradeoff analysis, and stakeholder synthesis. Uses context-aware methods such as diagnostic routing, design-twice comparison, ATAM-style risk analysis, CBAM-style prioritization, and ADR-style decision records.

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。

Battle-tested PyTorch training recipes for all domains — LLMs, vision, diffusion, medical imaging, protein/drug discovery, spatial omics, genomics. Covers training loops, optimizer selection (AdamW, Muon), LR scheduling, mixed precision, debugging, and systematic experimentation. Use when training or fine-tuning neural networks, debugging loss spikes or OOM, choosing architectures, or optimizing GPU throughput.

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's video is on disk - VidSeeds MCP probe, frame/clip extraction, ffmpeg recipes, precision trim, and midroll analysis. Hosted tools return commands/recipes to run locally; media stays on the user's machine.

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 only after explicit Codex `$superloopy:say-it-straight` or Claude Code `/superloopy:say-it-straight` invocation to make supplied or requested prose direct, concise, and natural without changing facts or protected text.

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。

Shape a request into one end-to-end slice with observable behavior; review write scope and reversible decisions. Use when: planning, breaking down or scoping a change.

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 a feature or initiative through a computed route: the conductor derives the canon delta and assembles the document package — from a zero-document null route for small fixes to an umbrella PRD with one spec per capability for large initiatives. Modes, named as the first word: sdd (full package), sources (MRD → BRD → URD) for market research, customer discovery, and business or user requirements, iso (BRS → StRS → SyRS → SRS) for ISO 29148 and regulated work, research for a technical investigation — never market research — that the research instrument closes either by scope coverage (a research document) or by a recommendation (an rnd). Explicit form: plan research <topic>. Use for 'plan the X redesign', 'create a roadmap', 'plan a new feature', 'I need market research before we plan', 'we're regulated — start the ISO requirements cascade', 'investigate X before we plan', 'compare the alternatives for Y' — a new investigation, not a finished report already in hand. Not for recording a decision or documenting existing code — use /archcore:document. Not for checking docs against code — use /archcore: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。

Save provenance, decisions, phases, context policy, and next steps as kernel.handoff/v1. Triggers: handoff, save, pause, context, continue later.

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 pre-merge review of a branch in a project that records its specs, decisions, and rules in .archcore/. Run this first for 'review my branch', 'review the changes before merge', or 'review before merge': it checks the changed code against the project's recorded canon and the changed documents against the code, and reports which side is wrong — spec-wrong or code-wrong; with no diff, it reports project health. A bug-hunting code review complements this review and does not replace it. Also use for 'show status', 'documentation gaps', 'check if docs match code', 'close out the feature', 'ship the feature and close it out', or after a staleness warning. Modes, named as the first word: drift for staleness detection, deep for a full documentation audit, closeout to close a finished feature, experience to capture a repeated pattern. Not for creating docs — use /archcore:document; not for planning — use /archcore:plan; not for a single-file edit with no branch 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。

Checkpoint durable decisions, fixes, constraints, results, and open next steps from the current Codex task into scoped Waggle project memory.

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 a concise read-only Agiflow status summary covering completed work, work in progress, blockers, and recommended next priorities. Use for daily standups, morning checks, stakeholder updates, or a quick project pulse.

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。

Operate BurpSuite MCP Bridge for professional, authorized web testing. Use when Codex needs to inspect Burp live/history/logger/selection traffic, prioritize one target, retrieve a decisive request/response, intercept and edit a request or response before forwarding, replay one controlled mutation, manage temporary rewrite rules, import BChecks/Bambdas, export evidence, or diagnose the Windows Burp to WSL MCP connection.

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 Waggle automatically as portable, local project memory during meaningful coding work; retrieve prior decisions and constraints, then store only durable 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。

Recall project-scoped Waggle history about a topic, component, decision, bug, experiment, or implementation attempt.

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。

Pick the right way to represent a dataset so a reader gets the finding in three seconds — a catalog of 20+ chart and diagram forms with when-to-use and failure modes, plus the encoding decisions that make any of them readable (takeaway headline, direct labels, kill the axis, highlight-and-mute, show the caveat). Style-agnostic — use with whatever palette or design system the destination already has. Use when charting survey results, benchmark data, usage metrics, or research findings for a post, brief, deck, or report, and whenever the default bar chart feels like it's burying the point.

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。

Process meeting recordings and notes into structured decisions, action items, and team dynamics with intelligent noise filtering

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 explaining or planning around AISTATS peer review, OpenReview review release, author-reviewer discussion, reviewer volunteer expectations, reviewer confidentiality, decision criteria, meta-review dynamics, the statistician-heavy reviewer pool, and PMLR proceedings 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 drafting AISTATS author responses or author-reviewer discussion replies under OpenReview, covering text-only discussion, no-link guidance, no revised-paper upload, anonymity requirements, statistician-reviewer pushback patterns, and decision-focused clarification strategy for theory-plus-experiments papers.

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 an AISTATS project timeline from venue fit through abstract submission, full-paper upload, supplementary material, review release, author-reviewer discussion, decision, camera-ready, PMLR publication, registration, presentation, and artifact release, with backward-planning offsets for theory-plus-experiments papers.

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 need to understand how American Anthropologist (AA) evaluates a manuscript — editorial screening, anonymous peer review under an ethics of care, the four-field editorial board, decision categories, and how section choice shapes the path. Sets expectations and shapes the paper to survive review; it does not contact editors.

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 revising an AISTATS paper for concise AI-statistics framing, theorem-and-experiment clarity, 8-page two-column compression, double-blind wording, reproducibility clarity, statistically careful claims, and assumption-labeling discipline that survives statistician reviewers.

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。