「aging」の検索結果

Write consistent, high-quality internal communications (status reports, 3P updates, newsletters, FAQs, incident reports). Use company standards and formats for all internal messaging.

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。

Draft, rewrite, or condense emails with precise tone, length, and messaging. Perfect for cold outreach, replies, status updates, and escalations where clarity matters.

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 production-quality UIs. Use when building or modifying user-facing interfaces. Use when creating components, implementing layouts, managing state, or when the output needs to look and feel production-quality rather than AI-generated.

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。

Navigate difficult conversations and deliver constructive feedback using structured frameworks. Covers the Preparation-Delivery-Follow-up model and Situation-Behavior-Impact (SBI) feedback technique. Use when preparing for difficult conversations, giving feedback, or managing conflicts.

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。

Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot

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。

Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.

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。

Extract and analyze competitor ads from ad libraries (Facebook, LinkedIn, etc.) to understand messaging strategies, pain points highlighted, and creative approaches that resonate with audiences.

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 dependency injection in Angular v20+ using inject(), injection tokens, and provider configuration. Use for service architecture, providing dependencies at different levels, creating injectable tokens, and managing singleton vs scoped services. Triggers on service creation, configuring providers, using injection tokens, or understanding DI hierarchy.

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。

Reference for MCP Jupyter tools (kernel management, cell execution, Papermill). Use when executing notebooks, managing kernels, or running code interactively via MCP.

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。

Auto-activate for Dockerfile, compose, Railway, Cloud Run, GKE, systemd, Kubernetes, Terraform, deploy scripts, or granian/litestar run at runtime. Not for packaging 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。

GEODE runtime context for model selection and metadata, architecture, packaging, release, docs, CI, AgenticLoop, async runtime, and plugin boundaries.

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。

Implements one numbered sub-task from a task list at .ai/[feature]/tasks.md, running linters and tests, without staging, committing, or marking the task complete. Use when asked to carry out a specific sub-task by number, or as the inner step of a larger loop that handles commits separately. For the full loop including commits, use task-orchestration.

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 every open pull request in a GitHub repository, filter to the ones that are genuinely mergeable now, and report a compact verdict with a suggested merge order. Use when the user asks which PRs can be merged, wants an open-PR backlog triaged or reviewed in bulk, asks why a PR is blocked, or wants to clear a queue of stale or bot-reviewed PRs.

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 changed code for correctness, security, maintainability, and verification gaps. Use when code is ready for independent review or before handoff, staging, or merge.

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。

Stage whole files, selected hunks, or selected lines in Git without interactive prompts. Use when preparing an exact commit boundary while preserving unrelated working-tree changes.

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。

Manages Pi packages across their lifecycle: discovers, audits, installs, upgrades, removes, enables, disables, filters, and configures extensions, skills, prompts, and themes from npm, Git, or local sources. Use before any Pi package install or upgrade, when reviewing available updates, changing package activation or configuration, or maintaining the package inventory.

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。

Generates structured 500-800 word summaries of legal articles distilling thesis, methodology, arguments, authorities, conclusions, and significance. Triggers when summarizing legal scholarship, reviewing law review articles, preparing literature reviews, or triaging articles for full reading.

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。

Manages end-to-end workflow for multi-organization amicus coalition briefs in appellate courts. Covers single-pen drafting governance, position alignment, conflict resolution, documented sign-offs, FRAP 29/Rule 37.6 disclosures, FRAP 26.1 corporate disclosures, cover formatting for multiple amici, and compliant filing. Use when coordinating coalition amicus briefs, managing sign-offs, drafting joint friend-of-court briefs, handling multi-amici filing, or resolving inter-organization conflicts. Triggers on phrases like "coalition brief," "12 orgs joining this amicus," or "coordinate the amicus."

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。

Manages multi-organization appellate amicus briefs with single-pen drafting, coalition sign-offs, conflict triage, and compliant disclosures. Use when coordinating a coalition amicus brief, managing amicus sign-on, handling FRAP 29 or Supreme Court Rule 37.6 disclosures, or preparing cover and interest sections for multiple amici.

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。

Manages Rule 30(b)(6) corporate representative deposition workflows — drafting notice topics with reasonable particularity, building examination outlines, defending designees, handling objections, and preserving binding admissions for summary judgment or trial. Use when drafting or responding to 30(b)(6) notices, selecting and preparing designees, building topic-by-topic outlines, or triaging scope and privilege disputes. Trigger keywords: 30(b)(6), corporate representative deposition, topic list, designee, notice analysis, deposition objections, corporate admissions.

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。

IBM's autonomic computing vision for self-managing systems with self-configuration, healing, optimization, and protection

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。

End-to-end form handling with react-hook-form, Zod schemas, validation patterns, error messaging, field arrays, and multi-step wizards. Use for complex forms, validation architecture, autosave, field dependencies. Activate on "form validation", "react-hook-form", "Zod", "form error", "multi-step form", "wizard". NOT for simple HTML forms, backend validation only, or non-React 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。

Advanced CV for infrastructure inspection including forest fire detection, wildfire precondition assessment, roof inspection, hail damage analysis, thermal imaging, and 3D Gaussian Splatting reconstruction. Expert in multi-modal detection, insurance risk modeling, and reinsurance data pipelines. Activate on "fire detection", "wildfire risk", "roof inspection", "hail damage", "thermal analysis", "Gaussian Splatting", "3DGS", "insurance inspection", "defensible space", "property assessment", "catastrophe modeling", "NDVI", "fuel load". NOT for general drone flight control, SLAM, path planning, or sensor fusion (use drone-cv-expert), GPU shader development (use metal-shader-expert), or generic object detection without inspection context (use clip-aware-embeddings).

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。

FIPA standard library of communicative acts (speech acts) for agent-to-agent messaging semantics

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。