「pip」の検索結果

Use when your human partner has explicitly opted into exploratory or feasibility mode - a compute-heavy simulation, an unproven pipeline, an unbenchmarked solver, an untested cluster job - or when whether the work can run at all is still unknown, when a plan's largest configuration has never been executed, when a memory or wall-clock ceiling is estimated rather than measured, or when someone proposes pre-registering over runs that have never happened

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Create n8n workflow for daily task assignment from PTO engineer to foreman via Telegram bot with status reporting.

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。

Security review checklist for construction software systems. Use when building integrations, APIs, data pipelines, or dashboards for construction 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。

Build n8n pipeline for automated cost estimation from Revit/IFC using DDC CWICR database and LLM classification.

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。

Automate construction data workflows. Build ETL pipelines and DAG workflows for recurring tasks.

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。

Automated pipeline for retraining ML models with new construction data. Monitor model drift, trigger retraining, and validate model performance.

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。

Create Apache Airflow DAGs for construction data pipelines. Orchestrate ETL, validation, and reporting 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。

Automate construction data processing using LLM (ChatGPT, Claude, LLaMA). Generate Python/Pandas scripts, extract data from documents, and create automated pipelines without deep programming knowledge.

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。

Develop and deploy Lakeflow Jobs on Databricks via DABs, Python SDK, or the CLI. Use when creating data engineering jobs with notebooks, Python wheels, SQL, dbt, or pipelines. Invoke BEFORE starting implementation.

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。

Comprehensive guide to Spark Structured Streaming for production workloads. Use when building streaming pipelines, working with Kafka ingestion, implementing Real-Time Mode (RTM), configuring triggers (processingTime, availableNow), handling stateful operations with watermarks, optimizing checkpoints, performing stream-stream or stream-static joins, writing to multiple sinks, or tuning streaming cost and performance.

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。

Create, configure, validate, deploy, run, and manage Declarative Automation Bundles (DABs, formerly Databricks Asset Bundles). Use when working with Databricks resources via DABs including dashboards, jobs, pipelines, alerts, volumes, and apps.

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Migrate Databricks workloads from classic compute to serverless compute. Use when migrating notebooks, jobs, pipelines, or Scala JARs (`spark_jar_task`) from classic clusters to serverless, checking if existing code is serverless-compatible, or writing new serverless-compatible code. Provides concrete fixes for the serverless Spark Connect architecture and guides the full migration. Not for classic DBR version upgrades or cluster configuration changes within classic compute.

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。

Weighted pipeline forecast by probability. Historical accuracy tracking, commit vs best-case scenarios, deal slippage patterns.

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。

Cleans up CRM data from HubSpot, Salesforce, Pipedrive, Zoho, Close, Attio, or any CRM CSV export. Finds duplicate contacts and companies with fuzzy matching (not just exact email), normalizes emails, phones to E.164, names, domains, states, and countries, flags stale, invalid, role, and test records, finds broken contact-company associations, and produces a reviewable merge plan plus import-ready files without touching the live CRM. Use this skill whenever the user wants to dedupe, find or merge duplicate contacts, merge companies or accounts, clean up a CRM, prep a CRM migration or re-import, or says the CRM export is a mess. Also use it when they mention only one symptom, like "the same person is in here three times", "half our leads are junk", or "our company records don't match".

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Python package creation and PyPI distribution via pyproject.toml and entry points. Use when publishing a package or setting up build configuration.

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。

Autonomous orchestrator for manifest work items through the development lifecycle. Use when running egregore to process a backlog automatically.

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。

Generates a Mermaid sequence diagram showing how data moves between components. Use when tracing request flows or documenting data transformation 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。

Generates a Mermaid workflow diagram showing process steps, decisions, and state transitions. Use when documenting CI/CD pipelines or lifecycle processes.

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。

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

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。

Orchestrates the QUALITY pipeline stage for egregore work items, running code review, unbloat, and test updates. Use when running quality checks before a PR.

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 drafting a medical research manuscript or any IMRAD section. Runs an 8-phase pipeline from outline to submission-ready draft for original articles, AI validation studies, case reports, meta-analyses, technical notes and more. Checking a draft is /self-review.

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 a paper needs publication-ready figures or a visual abstract. Makes ROC, forest, calibration, Kaplan-Meier and Bland-Altman plots, CONSORT/STARD/PRISMA flow diagrams, confusion matrices, pipeline diagrams and journal visual abstracts, checking the journal's AI-image policy first.

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。

Operate the Fengshenbang-LM Fengshen package for pipelines, model families, data/training utilities, examples, and conversion planning.

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 FlashRAG for retrieval-augmented generation research workflows: config/data validation, retrieval and index building, generation/refinement components, RAG pipelines/method reproduction, evaluation, and WebUI setup.

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。