「pipeline」の検索結果

Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.

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。

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

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。

Layer-by-layer remediation loop using adversarial audits, targeted fixes, and fresh-run verification enforcement

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。

Provision hosting targets, configure domains/environments, integrate deployment pipeline, and verify staging 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。

Configure CI/CD stages, secrets model, and service-aware pipeline strategy with execution verification gate

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。

Cross-session progress tracking, pattern extraction, and session resumption. Gives agents memory across sessions using markdown files in `.memory/pipeline/progress/`. Subsumes self-improving-agent — handles both implementation tracking AND experiential learning in one skill. Workflows invoke specific protocols by name.

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。

Methodology for writing complete, unambiguous IA, BE, and FE specification documents in the CFSA pipeline. Covers completeness testing, progressive section writing, cross-reference checking, and ambiguity gate application.

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。

Execute per-layer adversarial audit/remediation loop, persist fixes metadata, and manage fresh-run advancement

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。

Document templates for all pipeline output documents — specs, indexes, reports, and strategy docs. Use when any workflow needs to produce a structured document.

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。

Orchestrate IA shard authoring via design and deepen passes, with pipeline-state-driven shard selection and ambiguity 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。

Validate shard load/dependencies, create deep-dive skeletons, update ledger assignments, and generate pipeline tracker

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。

Design direction interview methodology — SUPERSEDED. The `impeccable` skill's `/impeccable teach` command now handles design direction discovery with a more comprehensive, multi-round interview that writes PRODUCT.md and DESIGN.md. This file is kept for pipeline backward compatibility — all new design work should use `/impeccable teach` instead.

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。

Introduce genuinely new scope into the pipeline by classifying change type and cascading updates through downstream layers

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。

Utility — fill the surface stack map in tech-stack.md and provision skills using intelligent resolution. Called by pipeline commands when tech stack info 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。

Apply the confirmed design direction to all visual surfaces. This skill now bridges the pipeline's placeholder system with the `impeccable` skill's PRODUCT.md and DESIGN.md files. If `{{DESIGN_DIRECTION}}` still appears as a literal placeholder, run `/impeccable teach` to establish design context.

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。

Per-screen design spec generator for AI design tools (Stitch / Figma AI / Claude artifacts). Consumes per-feature PRDs from kta-prd-pipeline. Emits tool-agnostic markdown specs. Triggers — design spec, AI design prompt, screen mockup brief, Figma AI input, Stitch prompt, design system tokens, post-PRD design phase, generate design specs, design brief, mockup spec. DOES NOT generate Compose code, Kotlin code, or @Preview stubs.

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。

Per-screen design spec generator for AI design tools (Stitch / Figma AI / Codex artifacts). Consumes per-feature PRDs from kta-prd-pipeline. Emits tool-agnostic markdown specs. Triggers — design spec, AI design prompt, screen mockup brief, Figma AI input, Stitch prompt, design system tokens, post-PRD design phase, generate design specs, design brief, mockup spec. DOES NOT generate Compose code, Kotlin code, or @Preview stubs.

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 graded `trial_result` JSONL outputs from the eval pipeline, including reliability and custom slicing.

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 Dagster — dagster data orchestration platform management. Covers asset management, pipeline runs, sensor and schedule status, IO manager configuration, partition management, and resource health. Use when checking asset materialization status, investigating run failures, managing schedules/sensors, or analyzing Dagster deployments.

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 Coveo — coveo enterprise search platform management including sources, indexes, query pipelines, machine learning models, usage analytics, and security providers. Covers indexing health, query performance, ML model status, content freshness, and license utilization.

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 Close Crm — close CRM management including leads, contacts, opportunities, activities, sequences, smart views, and custom fields. Covers pipeline velocity, calling metrics, email outreach performance, sequence engagement, and team productivity analysis.

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 Aws Proton — aWS Proton service and environment template management. Covers environment templates, service templates, service instances, pipeline management, component inspection, and template sync configuration. Use when managing Proton environments, deploying services from templates, inspecting provisioned resources, or auditing template versions.

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 Airbyte — airbyte data integration platform management. Covers connection status monitoring, sync job tracking, source and destination health, schema change detection, workspace management, and connector upgrades. Use when checking sync status, investigating job failures, managing Airbyte connections, or auditing data pipeline configurations.

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 Auth0 — auth0 identity platform management for tenant configuration, application setup, connection analysis, rule and action review, user management, and log inspection. Covers universal login, social connections, enterprise federation, and Auth0 Actions pipelines. Read this skill before any Auth0 operations — it enforces discovery-first patterns and strict read-only safety rules.

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。