「iste」の検索結果

Scan downstream specs for contradictions with locked decisions and apply approved fixes with consistency checks

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。

Present and apply contradiction fixes one-by-one, flag assumptions, run consistency checks, and write propagation record

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。

Validate sequencing and cross-layer readiness before phase slicing, including coverage and consistency hard gates

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。

Cascade approved evolution changes through downstream layers, assess impact, run consistency checks, and write evolution audit record

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 this skill when changing persisted local data, storage keys, caches, or any offline/sync behavior.

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 this skill when handling app foreground/background, Ionic view events, Vue mount/unmount, or listener registration and cleanup.

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。

Guide for implementing keyboard shortcuts in React using @tanstack/react-hotkeys. Use when building hotkey/shortcut features, registering keyboard shortcuts, handling key sequences, recording custom shortcuts, tracking held keys, or formatting hotkeys for display in React applications.

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。

How to upgrade `alchemy` and the `effect` constellation across this repo and keep them consistent for consumers: which packages pin what, why `effect` and every `@effect/*` companion move as one set, what breaks in a typical upgrade, and how to verify a standalone `npm install` still resolves a single `effect`. Use when asked to upgrade or bump alchemy or effect, when a deploy dies inside an alchemy provider with a `TypeError` naming a missing combinator, when `check:npm-effect-resolution` fails, or when deciding whether the alchemy patch is still 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。

Audit trail register: timestamp, user, module, record, action, field changed, old and new value, and the reason for the change. Use for change history and control evidence.

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 run the owner's self-branding system in a structured way across LinkedIn, Substack, dev.to, X, profile rewrites, recurring series, and comment strategy. Use when the owner asks for positioning, a branding plan, profile updates, content drafts, a publishing sequence, comment ideas, or help maintaining a consistent public voice. Optimize for operator credibility: specific experience, defensible numbers, concrete artifacts, and category ownership.

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。

Set up a monday.com account for an OpenClaw agent and work with monday.com boards, items, and updates via the GraphQL API or MCP server. Use when: creating a monday.com workspace for a PA, connecting the PA to monday.com, querying boards and items, creating or updating items, troubleshooting monday.com API access, self-registering an agent on monday.com via HATCHA agent verification, or integrating with monday.com workflows. Covers GraphQL cookbook, column types, MCP configuration, and HATCHA self-registration. Works with any LLM model.

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 working with Coderabbit — codeRabbit AI code review management including automated review comments, auto-suggestions, review customization, and learning from feedback. Use when configuring CodeRabbit for AI-assisted code review, custom review rules, and automated suggestion 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。

Use when working with Codeium — codeium (Windsurf) AI coding assistant management and analytics. Covers team seat management, usage tracking, language analytics, editor adoption metrics, security policy configuration, and enterprise deployment review. Use when managing Codeium/Windsurf licenses, reviewing team adoption, or analyzing AI-assisted coding productivity.

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 working with Coreweave — coreWeave GPU cloud management covering Kubernetes namespace inventory, GPU workload status, virtual server instances, persistent volume claims, node allocation, billing analysis, and network configuration. Use for comprehensive CoreWeave infrastructure assessment and GPU workload optimization.

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 working with Caprover — capRover self-hosted PaaS management covering app inventory, container status, custom domain mappings, persistent directory mounts, environment variable auditing, cluster node status, Docker registry integration, and Nginx configuration review. Use for managing CapRover infrastructure.

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 working with Apache Geode — apache Geode distributed cache management, region inspection, member health monitoring, and WAN gateway analysis. Covers locator status, server groups, partition distribution, persistent disk store health, and continuous query diagnostics. Read this skill before any Geode operations.

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 working with Gcp Idle Resources — detect unused and idle GCP resources that incur cost without providing value. Covers unattached Persistent Disks, unused external IPs, stopped VMs, idle Cloud NAT, idle load balancers, old snapshots, idle Cloud SQL instances, abandoned GKE node pools, unused VPC connectors, and orphaned Filestore instances. Includes estimated monthly waste per resource and anti-hallucination rules for safe detection.

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 working with Azure Cosmos Db — azure Cosmos DB throughput analysis, partition key distribution, consistency levels, metrics monitoring, and database management via Azure CLI.

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。

Analyze Compute Engine VM, Cloud SQL, Persistent Disk, and serverless (Cloud Functions/Cloud Run) utilization to identify right-sizing opportunities. Uses Cloud Monitoring metrics with anti-hallucination rules for E2 shared-core instances, sole-tenant nodes, preemptible/spot VMs, SUD eligibility, peak vs average analysis, CUD-aware savings, and estimated monthly savings calculations.

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。

Article illustrations: type × style × palette consistency.

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 for persistent task-queue with priorities + daemon.

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。

F Agent Memory: A Git-Native Persistent Memory Solution for AI Coding Agents and Project Knowledge Management OKF Agent Memory introduces a standardiz

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。

Validate protein designs using AlphaFold2 structure prediction. Use this skill when: (1) Validating designed sequences fold correctly, (2) Predicting binder-target complex structures, (3) Calculating confidence metrics (pLDDT, pTM, ipTM), (4) Self-consistency validation of designs, (5) Multi-chain complex prediction with AlphaFold-Multimer.

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。

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews 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。