「weight」の検索結果

Strategic guidance for operationalizing machine learning models from experimentation to production. Covers experiment tracking (MLflow, Weights & Biases), model registry and versioning, feature stores (Feast, Tecton), model serving patterns (Seldon, KServe, BentoML), ML pipeline orchestration (Kubeflow, Airflow), and model monitoring (drift detection, observability). Use when designing ML infrastructure, selecting MLOps platforms, implementing continuous training pipelines, or establishing model governance.

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Generate lightweight section/subsection transitions (NO NEW FACTS) to prevent “island” subsections; outputs a transition map that merging/writing can weave in.

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 `evidence-review` has an extraction table and needs lightweight risk-of-bias fields.

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。

Maintain bounded, durable AI project memory in a repository's docs/ai/ pack. Use when Codex or Claude Code needs to create, read, update, or audit project memory (project-card, architecture, diagrams, runbook, handoff, gotchas, ADRs), install AGENTS.md memory rules, or sync a lightweight central LLM Wiki project entity for user-owned projects.

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Use SonarJS-derived rules in .NET repositories that ship JavaScript or TypeScript frontends and need deeper bug-risk, code-smell, or cognitive-complexity checks than a minimal ESLint baseline. USE FOR: SonarQube, SonarCloud, or eslint-plugin-sonarjs setups; frontend code smells; cognitive complexity and deeper bug-risk rules. DO NOT USE FOR: lightweight base lint setups with no extra smell or complexity rules; teams that reject Sonar tooling. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.

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Use the open-source free `NetArchTest.Rules` library for architecture rules in .NET unit tests. Use when a repo wants lightweight, fluent architecture assertions for namespaces, dependencies, or layering. USE FOR: the repo uses or wants NetArchTest.Rules; architecture rules should be enforced in automated tests. DO NOT USE FOR: very rich architecture modeling that needs a heavier DSL. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.

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 the open-source free `ArchUnitNET` library for architecture rules in .NET tests. Use when a repo needs richer architecture assertions than lightweight fluent rule libraries usually provide. USE FOR: the repo uses or wants ArchUnitNET; architecture testing needs richer modeling than simple dependency checks. DO NOT USE FOR: the lightest possible architecture rule checks. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.

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。

Enhancement-overlay SOP for adding sparse (BM25 / keyword) retrieval alongside dense (embedding) retrieval. Activate when a calling agent is building, reviewing, or debugging a retrieval pipeline whose corpus contains exact-match tokens — identifiers, error codes, SKUs, API/function names, proper nouns, citations, rare jargon — that pure dense embedding silently misses. Encodes the single decision rule (**hybrid is traffic-driven, not theoretical: add sparse only when the query share that depends on exact tokens is non-trivial**), the wiring of QueryFusionRetriever-style fusion (RRF vs alpha-weighted), and per-query-type alpha tuning. Frame the work as recovering lexical identity that dense pooling destroys, not as "add keyword search for completeness". Cross-links [[llamaindex]].

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Enhancement overlay — version the WHOLE deployable LLM-app artifact as one bundle: prompts + compiled programs + model snapshot pins + retrieval config + eval-set version, versioned together so a deploy is reproducible and rollback is atomic. Activate when preparing to deploy an LLM app, when asking "what exactly is running in prod right now?", when a deploy must be reproducible months later, or when an incident needs a clean rollback. The core reframe: an LLM app artifact is NOT an ML model — it is a manifest over many independently-mutable parts, not one weights file. Do NOT activate for one-off prompt edits with no deploy, for a single-component demo, or where a vendor owns the whole prompt lifecycle. For versioning ONE compiled prompt use [[agentsop-per-model-artifacts]]; for the CI comparison mechanism use [[agentsop-regression-gate]]. Search keywords: prompt versioning, reproducible deploy, what is running in prod, rollback LLM app, model pinning, prompt registry, version prompts and config.

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Tracked lightweight execution with composable rigor flags: --trivial, --discuss, --research, --full. Covers zero-ceremony inline fixes (typo, spelling fix, small mistake in a single file, ≤3 edits) through contained multi-file changes.

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Interact with Google Drive - search files, find folders, list contents, download files, upload files, create folders, move, copy, rename, and trash files. Use when user asks to: search Google Drive, find a file/folder, list Drive contents, download or upload files, create folders, move files, or organize Drive content. Lightweight integration with standalone OAuth authentication supporting full read/write access.

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。

Interact with Google Docs - create documents, search by title, read content, and edit text. Use when user asks to: create a Google Doc, find a document, read doc content, add text to a doc, or replace text in a document. Lightweight alternative to full Google Workspace MCP server with standalone OAuth authentication.

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。

Read and write Google Sheets spreadsheets - get content, update cells, append rows, fetch specific ranges, search for spreadsheets, and view metadata. Use when user asks to: read a spreadsheet, update cells, add data to Google Sheets, find a spreadsheet, check sheet contents, export spreadsheet data, or get cell values. Lightweight integration with standalone OAuth authentication supporting full read/write access.

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。

Read and write Google Slides presentations - get text, find presentations, create presentations, add slides, replace text, and manage slide content. Use when user asks to: read a presentation, create slides, find slides, add a slide, replace text in a presentation, or manage presentation content. Lightweight integration with standalone OAuth authentication supporting full read/write access.

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。

Apple's open-source `container` CLI to build, run, and manage OCI/Linux containers as lightweight per-container VMs on Apple-silicon macOS — no Docker daemon required. Use when the user mentions the `container` CLI, "apple container", running or building containers on macOS without Docker/Podman, `container run`, `container build`, `container images`, `container system start`, pushing/pulling images to a registry, or container networking on macOS. This is Apple's `container` tool specifically (repo `apple/container`), NOT Docker, Podman, containerd, nerdctl, or Kubernetes — the CLI is Docker-like but is a different tool.

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。

Interact with Gmail - search emails, read messages, send emails, create drafts, and manage labels. Use when user asks to: search email, read email, send email, create email draft, mark as read, archive email, star email, or manage Gmail labels. Lightweight alternative to full Google Workspace MCP server with standalone OAuth authentication.

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。

Interact with Google Calendar - list calendars, view events, create/update/delete events, and find free time. Use when user asks to: check calendar, schedule a meeting, create an event, find available time, list upcoming events, delete or update a calendar event, or respond to meeting invitations. Lightweight alternative to full Google Workspace MCP server with standalone OAuth authentication.

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。

Interact with Google Chat - send, read, edit, delete and react to messages, share images and files, reply in threads, and manage spaces and DMs. Use when user asks to: send a message on Google Chat, read chat messages, list chat spaces, find a chat room, send a DM, share a screenshot or file, edit or delete something already sent, or create a new space. Lightweight alternative to full Google Workspace MCP server with standalone OAuth authentication.

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。

Zero-build frontend development for static apps, browser extensions, maps, and lightweight data-backed interfaces. Use when deployment must not require a build step.

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 and rewrite an Instagram profile end-to-end for 2026: profile photo, searchable NAME field weighted with a keyword, @handle, bio (150 chars: value plus topic plus proof), goal-matched link, category label, story highlights, the first-9 grid, and up to 3 pinned posts. Triggers on "review my Instagram profile", "fix my bio", "optimize highlights", "profile audit". The whole follow decision happens on the profile header. Not for writing captions (use ig-caption-writer).

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Tone down visual noise — lowers variance and motion, simplifies layout and color weight, keeps hierarchy clear. Use when the UI feels loud, busy, or over-designed, or when the user says "quieter", "more restrained", "simpler", or "tone it down". Invoke when the user asks for quieter on their UI, or mentions 'quieter' alongside design / UI / frontend work.

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Typography pass covering font choice, modular scale, tracking, leading, weight hierarchy, and micro-typography details. Use when fonts feel generic (default Inter with no reason), the scale is ad hoc, hierarchy is flat, or the user says "fix the typography" / "the text doesn't feel right". Invoke when the user asks for typeset on their UI, or mentions 'typeset' alongside design / UI / frontend work.

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。

Configure AWS MCP servers for documentation search and API access. Use when setting up AWS MCP, configuring AWS documentation tools, troubleshooting MCP connectivity, or when user mentions aws-mcp, awsdocs, uvx setup, or MCP server configuration. Covers both Full AWS MCP Server (with uvx + credentials) and lightweight Documentation MCP (no auth required).

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。

Provides weighted scoring, rubrics, and decision-threshold patterns. Use when designing quality gates, evaluation systems, or decision 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。