「maintaining」の検索結果

Compatibility router for skill goal recovery and authority assessment. Delegate to Skill Lapidary's establish-validatable-goals capability rather than maintaining a second goal-contract system in Plugin Creator.

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Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.

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Expert task distributor specializing in intelligent work allocation, load balancing, and queue management. Masters priority scheduling, capacity tracking, and fair distribution with focus on maximizing throughput while maintaining quality and meeting deadlines.

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Bright Data Web MCP gives MCP-compatible agents live web search, scraping, and optional browser-automation access through Bright Data’s web-access platform. It is built for agents that need current information, anti-bot resilience, and structured extraction without maintaining their own scraping stack.

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Research, implement, modify, and audit behavior inside Bricks Builder sites using the bundled Bricks Academy corpus, stable development workflows, and version-aware verification against an authorized active Bricks installation. Use when the requested outcome concerns Bricks elements, controls, schema, hooks, templates, styling, responsive settings, dynamic data, queries, forms, interactions, custom elements, or page JSON. Do not use merely because Bricks Builder is mentioned, for generic WordPress, PHP, CSS, or JavaScript work, or for maintaining, naming, versioning, documenting, or releasing this Skill repository.

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Structures investor portal organization with document hierarchy, access permissions, and communication archive management. Use when managing investor portals, organizing LP documentation, or maintaining investor communication records.

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Rules for creating and maintaining Dockerfiles.

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This skill should be used when creating, auditing, or maintaining AGENTS.md files and Codex CLI configuration for any project—including initializing AGENTS.md for cross-agent compatibility (Codex, Cursor, Copilot, Devin, Jules, Amp, Gemini CLI), generating config.toml or .rules files, scaffolding .agents/skills/, converting CLAUDE.md to AGENTS.md, or auditing existing agent configs for bloat and staleness. Complementary to codex-orchestrator (which executes subagents; this skill creates the config files they consume).

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Reflective Memory. Use when working with memory, reflection, context management, or intent tracking. Provides the reflective memory practice — how and when to use keep tools for capturing insights, tracking commitments, and maintaining awareness.

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Generalised autonomous optimisation loop — soft RLVR for any artifact a user can measure. Use this skill whenever a user wants to iteratively improve an artifact — code, prompts, documents, configs, designs, content — by running structured experiments, evaluating results against a multi-dimensional rubric, and learning from each attempt. Triggers include: "optimise this", "keep improving until it's good", "run experiments on", "autoresearch", "iterate on this overnight", "try different approaches and pick the best", or any request implying repeated evaluate-and-improve cycles. Also use when the user wants to improve a system prompt, a data pipeline, a writing style, or any artifact where quality can be decomposed into measurable tracks. For inference optimisation tasks (model latency, throughput, quantization, GPU deployment), a* delegates the low-level tuning to AITune while maintaining quality tracking and learning.

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Install skills, agents, and teams from agent-almanac into any supported agentic framework using the CLI. Covers framework detection, content search, installation with dependency resolution, health auditing, and manifest-based syncing. Use when setting up a new project with agentic capabilities, installing specific skills or entire domains, targeting multiple frameworks simultaneously, or maintaining a declarative manifest of installed content.

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Design sustainable on-call rotations with balanced schedules, clear escalation policies, fatigue management, and handoff procedures. Minimize burnout while maintaining incident response coverage. Use when setting up on-call for the first time, scaling a team from 2-3 to 5+ engineers, addressing on-call burnout or alert fatigue, improving incident response times, or after a post-mortem identifies handoff issues.

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AI dynamic reasoning balance — maintaining grounded reasoning under cognitive pressure, smooth chain-of-thought coordination, and weight-shifting cognitive load across subsystems. Use at the beginning of a complex task requiring multiple coordinated reasoning threads, after a sudden context shift or tool failure, when chain-of-thought feels jerky, or when preparing for sustained focused work that requires all subsystems in alignment.

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Rowan is a cloud-native molecular modeling and medicinal-chemistry workflow platform with a Python API. Use for pKa and macropKa prediction, conformer and tautomer ensembles, docking and analogue docking, protein-ligand cofolding, MSA generation, molecular dynamics, permeability, descriptor workflows, and related small-molecule or protein modeling tasks. Ideal for programmatic batch screening, multi-step chemistry pipelines, and workflows that would otherwise require maintaining local HPC/GPU infrastructure.

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Use when pinning down domain terminology, maintaining the domain model, or when a term conflicts or needs sharpening.

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Provides a structured workflow for migrating an Android XML View to Jetpack Compose. This skill details the step-by-step process, from planning and dependency setup, to theming and layout migration, validation and XML cleanup. Use this skill when you need to migrate an XML View to Jetpack Compose in an Android project. It solves the problem of converting the UI of a legacy XML View into modern, declarative Compose components while maintaining interoperability.

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Manage knowledge graph for autonomous coding. Use when storing relationships, querying connected knowledge, building project understanding, or maintaining semantic memory.

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This skill provides guidance for maintaining documentation consistency with implementation in the vscode-sidebar-terminal project. Use this skill when creating or updating documentation, verifying documentation accuracy, preparing releases, or when the codebase has changed and documentation may need updates. This skill should be used proactively after implementing features or bug fixes.

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Use when creating, maintaining, debugging, or reviewing real-browser end-to-end tests with Playwright or Cypress, including Page Object models, CI artifacts, traces, flaky tests, cross-page visual regression, and critical user journeys such as login, payment, permissions, or CRUD. For layer planning or tests close to UI components, choose the matching testing workflow first; Chinese triggers include E2E, end-to-end testing, Playwright, Cypress.

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Use when maintaining or safely modifying existing non-framework frontend code: vanilla JavaScript, jQuery, HTML/CSS, MPA pages, server-rendered templates, legacy plugins, or long-lived code that should stay in its current stack. Use migration skill when planning a move to React/Vue/TypeScript; Chinese triggers include traditional frontend, native JS, jQuery.

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Use when a task needs the judgment of a computer programmer implementing to a given specification — translating a design/pseudocode/systems-analyst spec into working code in a specified language, flagging spec ambiguity before writing code, maintaining or modernizing an existing codebase against its original contract, or writing unit tests that prove the implementation matches the spec (not designing the system the spec describes).

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Use when a task needs the judgment of a Coil Winder, Taper, or Finisher — cross-checking a mechanical turn counter against an independent method rather than trusting it blindly, maintaining wire tension within a specified range rather than by feel, avoiding wire handling that risks invisible insulation damage, or performing post-winding electrical testing rather than relying on visual/mechanical inspection alone.

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Creates accurate frontend implementations from visual references while maintaining design consistency. Use when user provides Figma URLs, screenshots, design images, requests visual implementation from reference, or asks to build UI matching a design. Automatically checks existing design intent patterns before implementation.

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Analytics engineering with dbt — models, tests, and modular SQL pipelines — use when building or maintaining dbt projects.

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。