Results for “pip”

Design or repair a CI/CD pipeline with well-ordered parallel stages, lockfile-keyed caching, quality gates, and build-once artifact promotion.

Bash Pipeline Analysis

This skill should be used when the user asks to "fix pipelines", "fix CI", "check staging pipelines", "fix failing workflows", "fix failing actions", or wants to find and fix failing GitHub Actions workflows on the staging branch of the babysitter repo.

Guides configuring Turborepo for JavaScript/TypeScript monorepos, covering task pipelines, caching, filtering, CI optimization, and package structure.

Query, filter, transform, and aggregate JSON data using jq, with practical patterns for shell pipelines and CLI integration.

Orchestrates AI/ML development workflows covering LLM applications, RAG systems, AI agents, ML pipelines, and observability.

Guides database design, implementation, optimization, migration, pipeline development, and operations across SQL and NoSQL platforms.

Tracks leads, manages pipelines, automates outreach, and handles follow-ups to help close deals.

Guides database design, implementation, optimization, migration, pipeline development, quality, and operations across SQL and NoSQL platforms.

Query, filter, and transform JSON with expert jq patterns, including aggregation, string formatting, and shell pipeline integration.

Guides database design, implementation, optimization, migrations, data pipelines, and operations across SQL and NoSQL platforms.

Master orchestrator for the content update pipeline. Takes a published URL and produces an updated draft with side-by-side diff for editor review.

Orchestrate the complete post-first-draft polishing pipeline for an academic LaTeX paper by invoking five existing skills in fixed order: (1) paper-polish, (2) paper-self-revise, (3) paper-style, (4) paper-polish again, (5) reference-verify. Trigger when user says "paper pipeline" / "paper-pipeline" / "论文流水线" / "全流程打磨" / "一条龙打磨" / "初稿打磨" / "full polish pipeline" / "run the whole pipeline", or wants the entire post-draft polishing sequence run on a paper folder. Use this skill whenever the user asks for several paper-finishing steps (polish + revise + style + reference check) on one manuscript in one go, even if they don't name every individual skill.

ML pipeline design — data versioning, experiment tracking, deployment patterns, drift monitoring. Use when building an ML pipeline from data to deployment, setting up MLOps tooling (DVC, MLflow, model registry), choosing deployment patterns (shadow, canary, A/B), or designing monitoring for drift and degradation.

Manage Heroku pipelines and review apps with stage-aware guardrails. Use when the agent needs to inspect or configure Heroku pipelines, connect apps to stages, promote slugs between stages, enable review apps, or reason about `app.json` behavior in Heroku review workflows.

Configure and optimize Turborepo monorepo build systems with task pipelines, caching, filtering, and CI integration.

Diagnoses pipeline failures, schema validation errors, ffmpeg crashes, and API errors, then attempts safe automatic recovery.

Runs a data augmentation pipeline on a given input and reports pass/fail per transform, diagnosing failures against known issues.

Build sales playbooks, define pipeline stages, and optimize conversion rates with structured processes and lead scoring.

Configures GitHub Actions CI/CD pipelines for Flutter and backend monorepos, including testing, building, and deployment workflows.

Interact with GitLab via helper functions for merge requests, issues, pipelines, and code review comments.

Query, filter, transform, and aggregate JSON data using jq, with practical patterns for shell pipelines and CLI integration.

Scaffold CI/CD quality pipeline with test execution. Use when the user says "lets setup CI pipeline" or "I want to create quality gates"

Install cuOpt for Python, C, or REST server via pip, conda, or Docker, and verify the installation.

Run Claude Code autonomously in loops, from simple sequential pipelines to multi-agent DAG orchestration.

Guides database design, implementation, optimization, migrations, data pipelines, and operations for SQL, NoSQL, and modern data platforms.

Installs and configures Apache Airflow via pip or Docker, with guidance on constraints, requirements, and deployment options.

Runs a complete testing pipeline covering full test suites, automated and manual tests, and logs execution metadata for the /evolve pipeline.

Guides visual style selection, asset pipeline choices, and animation workflows for game development.

Combines multiple pipe-format blocks from conversation context into one unified output, handling deduplication, source attribution, and confidence upgrades.

Orchestrates Python data pipelines with Prefect flows, tasks, retries, caching, parallel execution, and deployments to work pools.

Query, filter, transform, and aggregate JSON data using jq, with practical patterns for shell pipelines and integration with CLI tools.

Patterns for debugging and extending the AegisNex GitHub Actions CI pipeline. Covers common failure modes, encoding issues, dependency problems, and how to add new CI steps.

Full research pipeline: Workflow 1 (idea discovery) → implementation → Workflow 2 (auto review loop). Goes from a broad research direction all the way to a submission-ready paper. Use when user says "全流程", "full pipeline", "从找idea到投稿", "end-to-end research", or wants the complete autonomous research lifecycle.

Reproduce a bug as a failing regression test, fix until green, review, and commit via a delegated pipeline.

Fork, sanitize, and package private projects for safe public release through a three-stage pipeline.