Results for “pipe”

Use when orchestrating deployments across multiple services or instances, managing deployment pipelines, implementing rollback procedures, or coordinating multi-stage rollouts. This skill provides cross-company deployment patterns.

CRM integration patterns for Close CRM, HubSpot, and Salesforce. Use when: Close CRM, HubSpot, Salesforce, CRM API, lead sync, deal sync, activity logging, CRM webhook, pipeline automation, contact enrichment.

OMC agent catalog, available tools, team pipeline routing, commit protocol, and skills registry. Auto-loads when delegating to agents, using OMC tools, orchestrating teams, making commits, or invoking skills.

Develop custom Tekton Tasks and reusable pipeline components. Use when creating Tasks for Tekton Hub, building ClusterTasks, designing parameterized Task libraries, or packaging Tekton components for distribution.

Design and implement ML operations — model registry, serving patterns, deployment strategies (shadow/canary/blue-green), drift detection, feature stores, retraining triggers, and prediction monitoring. Use when asked to "deploy a model", "model registry", "MLflow", "feature store", "drift detection", "retrain trigger", "shadow mode", "model versioning", "serving infrastructure", or "ML pipeline". Do NOT use for: prompt engineering or RAG pipelines — see prompt-engineering and rag-architect skills. Do NOT use for: general API deployment without an ML component.

Build evaluation frameworks for agent systems, covering rubric design, test set creation, and automated evaluation pipelines.

Diagnoses Qdrant search quality issues by isolating causes like HNSW approximation, quantization, embedding model, or search pipeline problems.

Automate recruiting workflows in Lever ATS -- manage opportunities, job postings, requisitions, pipeline stages, and candidate tags through the Composio Lever integration.

Build and deploy bioinformatics workflows as serverless pipelines on the Latch platform using Python decorators, cloud data management, and GPU support.

Automates app maintenance by assessing health, prioritizing by staleness and debt, and running targeted fix pipelines that commit directly to main.

Sets up Git-based version control for data science projects, handling notebooks, datasets, and pipelines with DVC and nbstripout.

Build clean async pipelines with fp-ts TaskEither, replacing nested try/catch with composable error handling and real API examples.

Audits code quality against a shared contract, producing structured findings and blocking pipeline phases on critical issues without modifying code.

Manages a talent agency CRM pipeline for scouting, contracting, and tracking Indonesian creator-affiliate campaigns across TikTok, Instagram, and YouTube.

Coordinates multi-service releases, manages container registries, and sets up CI/CD pipelines across platforms.

Build clean async pipelines with fp-ts TaskEither, replacing nested try/catch blocks with composable error handling and real API examples.

Build clean async pipelines with fp-ts TaskEither, replacing nested try/catch with composable error handling, chaining, and parallel execution.

Build and release pipeline for the Pump SDK — tsup TypeScript builds, Cargo release profiles, semantic release with commitizen, npm publishing, linting, Makefile targets, Vercel deployment, and MCP server distribution.

Coordinate end-to-end deployments across Stripe, Supabase, and Vercel using the Composio CLI. Update pricing, apply database migrations, deploy frontend, verify changes, and announce releases from a single script.

Detect and triage infrastructure drift by comparing declared Terraform state against live cloud resources using scheduled pipelines and audit logs.

SENTINEL v2.0 — Quality Trader Convergence Scanner. Inverted pipeline: find ELITE/RELIABLE traders, see where they converge. When 5+ quality traders hold the same asset in the same direction, enter.

Write defensive Bash scripts for production automation, CI/CD pipelines, and system utilities with safe, portable, and testable patterns.

Use OpenMetadata SDK and APIs to build integrations, connectors, and automations. Use when querying metadata, creating custom properties, building ingestion pipelines, automating governance workflows, or integrating OpenMetadata with other systems.

Run standard single-cell RNA-seq analysis pipelines: QC, normalization, dimensionality reduction, clustering, differential expression, and visualization using Scanpy.

Process whole slide images for digital pathology: detect tissue, extract tiles, and prepare datasets for deep learning pipelines.

Write, optimize, and debug Apache Spark jobs for high-performance distributed data processing, ETL pipelines, and big data workloads.

Creates Dockerfiles, configures CI/CD pipelines, writes Kubernetes manifests, and generates Terraform/Pulumi infrastructure templates for deployment automation, GitOps, and incident response.

Convert books into supervised fine-tuning datasets and train style-transfer models that replicate an author's voice.

Validate multi-skill workflows by checking skill existence, inter-skill data contracts, JSON schema compatibility, file naming conventions, and handoff integrity.

Runs a fast quality gate that detects the project stack, performs static analysis, checks cross-layer consistency, and fixes issues between pipeline phases.

Guides production AI systems: RAG pipelines, embeddings, vector databases, fine-tuning, prompt engineering, cost estimation, quality evals, and caching.

Audita infraestrutura e pipeline em busca de vulnerabilidades, credenciais vazadas, IAM excessivo e exposição pública, com recomendações de hardening e classificação de severidade.

Guides production LLM operations: RAG pipelines, embeddings, vector databases, fine-tuning, prompt engineering, cost estimation, quality evals, and AI architectures.

age file encryption reference — the modern, simple alternative to GPG. Covers key generation, X25519 encryption, SSH key support, passphrase mode, pipe patterns, SOPS integration, YubiKey plugins, and security considerations. By Filippo Valsorda.

Program LM pipelines with DSPy — define Signatures (input/output fields), build Modules (ChainOfThought, ReAct, Predict), compose them into Programs, then optimize with Teleprompters (BootstrapFewShot, MIPRO, COPRO) to auto-improve prompts from examples.

Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, and visualization. Best for exploratory scRNA-seq analysis with established workflows. For...