「sla」の検索結果

Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.

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 alongside figma-use when the task involves translating an application page, view, or multi-section layout into Figma. Triggers: 'write to Figma', 'create in Figma from code', 'push page to Figma', 'take this app/page and build it in Figma', 'create a screen', 'build a landing page in Figma', 'update the Figma screen to match code'. This is the preferred workflow skill whenever the user wants to build or update a full page, screen, or view in Figma from code or a description. Discovers design system components, variables, and styles via search_design_system, imports them, and assembles screens incrementally section-by-section using design system tokens instead of hardcoded values.

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。

Generate SQL queries from natural language descriptions. Supports BigQuery, PostgreSQL, MySQL, and other dialects. Reads database schemas from uploaded diagrams or documentation. Use when writing SQL, building data reports, exploring databases, or translating business questions into queries.

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。

Downloads YouTube video transcripts/subtitles and cover images by URL or video ID. Supports multiple languages, translation, chapters, and speaker identification. Caches raw data for fast re-formatting. Use when user asks to "get YouTube transcript", "download subtitles", "get captions", "YouTube字幕", "YouTube封面", "视频封面", "video thumbnail", "video cover image", or provides a YouTube URL and wants the transcript/subtitle text or cover image extracted.

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。

Player-facing patch notes from git history and changelogs. Translates developer language into player communication.

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。

Sweep configured feedback sources (Slack, GitHub Issues; email experimental) for new items: acknowledge at source, analyze recordings, verify fixes merged to main, and emit an `lfg`-ready plan. First run sets up sources; supports mode:non-interactive for scheduled runs.

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 ANY work touching the `handsontable/` core package: fixing bugs, adding features, modifying TypeScript types, removing as-casts, writing or debugging plugins, editors, renderers, validators, cell types, hooks, shortcuts, selection, helpers, index translations, or i18n. Also use for how-to questions about core internals (plugin lifecycle, coordinate systems, hook registration, TypeScript conventions). Triggers on file paths under `handsontable/src/` (excluding `3rdparty/walkontable/` which has its own skill), or when the user describes a symptom in the core grid without naming a file. This is the primary entry point for all core Handsontable development, when in doubt, load it.

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 row or column indexes in Handsontable - translating between physical, visual, and renderable coordinates, using IndexMapper, or debugging index-related bugs where rows or columns appear in wrong positions

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。

Manage screenpipe pipes (scheduled AI automations) and connections (Telegram, Slack, Discord, etc.) via the CLI. Use when the user asks to create, list, enable, disable, run, or debug pipes, or manage service connections from the command line.

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。

Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, predict values, detect outliers or anomalies, find key drivers, perform semantic search or vector search, classify text, calculate similarity, summarize content, translate language, evaluate models, filter by semantic conditions, measure the causal effect of an intervention, compute correlations between columns, detect change points or structural breaks, extract trend or seasonality components, or leverage generative AI capabilities in BigQuery. Do not use for general BigQuery dataset, table, or job management requests.

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 manage trusted local Paseo plugins. Use when the user asks to create, edit, install, reload, enable, disable, remove, or troubleshoot a Paseo plugin; add lifecycle hooks; transform agent configuration, environment, MCP servers, or workspace creation; automate permissions or turn follow-ups; add a screen, sidebar header or footer item, or workspace panel; add Command Center items or slash commands; add composer pills or attachment sources; transform, render, or append agent timeline items; contribute a theme; use Paseo from plugin code; or add plugin RPCs.

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。

Measure mesh files against Design for Additive Manufacturing (DfAM) rules and report printability findings per process (FDM, SLS, SLA/DLP, metal PBF, MJF). Use when the user asks whether a part is printable, wants overhang/wall-thickness/support analysis of an `.stl`, `.obj`, `.ply`, or `.3mf` mesh, wants a build-orientation recommendation, or wants DfAM redesign guidance before slicing with `$gcode` or regenerating geometry with `$cad`.

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。

Forces the laziest solution that actually works, simplest, shortest, most minimal. Channels a senior dev who has seen everything: question whether the task needs to exist at all (YAGNI), reach for the standard library before custom code, native platform features before dependencies, one line before fifty. Supports intensity levels: lite, full (default), ultra. Use on ANY coding task: writing, adding, refactoring, fixing, reviewing, or designing code, and choosing libraries or dependencies. Also use whenever the user says "ponytail", "be lazy", "lazy mode", "simplest solution", "minimal solution", "yagni", "do less", or "shortest path", or complains about over-engineering, bloat, boilerplate, or unnecessary dependencies. Do NOT use for non-coding requests (general knowledge, prose, translation, summaries, recipes).

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。

Turns feedback from Plain, public reviews, and a Slack channel into deduplicated, quantified themes, and reconciles each theme against one Linear issue in {{linear_team}} — never prioritizing, assigning, or closing.

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。

Triage loop for inbound HR policy questions. Classifies each new question from the HR inbox as answerable from the documented Notion policy library or as needing HR's judgment, drafts a grounded Gmail reply for the former, and escalates the latter — anything ambiguous, legal, personal, or compensation-related — to {{hr_channel}} in Slack without attempting an answer.

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。

Runbook for scoring and routing a new HubSpot lead to the right rep for {{projectName}} — territory matching, segment specialists, the stateless round-robin pool, intent scoring, HubSpot property writes, Slack notifications, and when to escalate an ambiguous lead to a human instead of guessing.

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。

Weekly snack-request batching for {{office_channel}}. Collects Slack shortcut submissions since the last order, consolidates duplicates and standing staples, builds a cart against {{preferred_vendor}} within {{weekly_budget}}, and posts it for the office manager to approve before anything is placed.

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 build and post the weekly ENG/PRODUCT shipping brief to Slack — a compact summary of what shipped, a ranked merged-PR count per person with week-on-week delta and shipping streaks, and an async standup thread prompt. Load this when you are the `leaderboard` agent (the `weekly-leaderboard` cron), or when someone asks for a weekly contributor/shipping summary.

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。

Daily fresh-session workflow that reads the Notion content calendar for content, launches, and announcements landing within the lookahead window, drafts platform-appropriate social posts for each one, and holds the batch with the scheduled date in the Slack approval channel. Never posts to any social account.

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。

Hourly warehouse health sweep for {{warehouse_schema}}. Checks every monitored table's freshness against its SLA, compares row counts to the table's own trailing baseline, diffs the schema for drift, and checks for failed or stalled loads. Posts anomalies to {{alert_channel}} and drafts a GitHub issue in {{incident_repo}} with the likely cause. Read-only across the warehouse — never modifies data, tables, or pipelines.

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。

Route and complete Composio work across Composio For You and Composio Platform. Use when the user mentions Composio; wants an agent to use apps such as Gmail, Slack, GitHub, Notion, Calendar, or Linear; needs first-time setup, an SDK or MCP integration, CLI operation, migration guidance, current documentation, or help diagnosing a connection or tool call.

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。

New-hire onboarding runbook for {{projectName}}. Detects new-hire records via the {{new_hire_group}} group in Google Workspace, then works one scoped case per hire — preparing the Workspace account and group memberships, adding them to the right Slack channels, and filing a first-week checklist in the {{onboarding_project}} Linear project — holding account creation and group membership for a human approval gate and posting the result to {{notify_channel}}.

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。

Daily HubSpot pipeline-hygiene rules — staleness, missing next step/close date, stage stalls, and overdue tasks — plus how to nudge the owning rep in Slack and escalate the day's worst offenders to the sales manager. The only write is an internal hygiene flag; stage, owner, and amount are never touched.

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。

Drive Kortix itself from the terminal with the `kortix` CLI — preinstalled and pre-authenticated in every session sandbox. Use whenever a task means acting on THIS project's Kortix control plane rather than just editing files: manage secrets, list/spawn/watch/talk-to sessions, open or inspect change requests to land work on main, fire or manage triggers, set a reminder to check back on this task later (`kortix remind "…" --in 24h --every 1h`, when the project's `reminders` feature flag is on), call connectors, connect Slack, or read project info. This is a discovery stub — the full, always-current reference is served live via `kortix skills get kortix-system` and its reference files.

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。