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CI/CD Pipeline Builder

ci-cd-pipeline-builder

alirezarezvani/claude-skills

Automatically generate pragmatic CI/CD pipelines from detected stack signals, recommending lint/test/build/deploy stages, caching/matrix strategies, and validating commands before deployment for repeatable automation.

Autonomous Claude Loops

autonomous-loops

affaan-m/everything-claude-code

Patterns and architectures for autonomous Claude Code loops, ranging from sequential pipelines to RFC-driven multi-agent DAG orchestration, helping you build hands-off development workflows, CI/CD-style pipelines, and quality-gated iterations.

Advanced LLM Evaluation

advanced-evaluation

sickn33/antigravity-awesome-skills

Provides production-grade patterns for using LLMs as judges, covering direct scoring, pairwise comparison, rubrics, bias mitigation, and metric guidance to build automated evaluation pipelines and ensure reliable quality assessment.

Practical Async Pipelines

sickn33/antigravity-awesome-skills

Showcases TaskEither wrappers and combinators from fp-ts to replace nested try/catch with flat async pipelines for fetch-based APIs, letting TypeScript services keep failure context while chaining dependent operations.

Functional Pipeline Reference

sickn33/antigravity-awesome-skills

Provides a concise fp-ts reference for using `pipe` to transform values immediately or `flow` to compose reusable data pipelines, with examples covering Option and Array chains.

fp-ts Type Reference

sickn33/antigravity-awesome-skills

Quick reference for fp-ts developers to pick between Option, Either, Task, TaskEither, and TaskOption based on async or error-prone scenarios, plus handy imports and pattern snippets for pipelines and matches.

AI Workflow Builder

SamurAIGPT/Generative-Media-Skills

Build, run, and visualize multi-step AI generation workflows via muapi.ai. Translate natural language intents into runnable node graphs, discover or edit existing pipelines, and execute them interactively or through the CLI with automated monitoring.

LLM Project Methodology

project-development

sickn33/antigravity-awesome-skills

Guides planning and validating LLM-focused projects, from task-model fit evaluation to staged pipelines, agent structures, and cost-aware estimation so teams iterate safely before automating.

Product Analytics Playbook

analytics-product

sickn33/antigravity-awesome-skills

Guides teams through product analytics with PostHog/Mixpanel pipelines, essential events, activation funnels, cohort retention, and north star dashboards so you can instrument tracking, run experiments, and measure growth.

Daily Voice Multimodal Pipeline

sickn33/antigravity-awesome-skills

Pipecat via Daily helps agents orchestrate real-time voice and multimodal AI pipelines, combining STT, LLMs, TTS, vision, and transport layers while managing context, tools, and low-latency delivery across cloud platforms.

LLM Ops Production

sickn33/antigravity-awesome-skills

Guides production-grade LLM operations by combining RAG pipelines, embeddings, vector databases, fine-tuning, prompt engineering, cost control, evals, caching, streaming, and agent orchestration.

Structured Output Extraction

llm-structured-output

sickn33/antigravity-awesome-skills

Teaches how to steer OpenAI, Anthropic, Google, and local LLMs into emitting validated JSON/enums by defining strict schemas, prompting for data extraction, handling validation failures, and building retry/logging pipelines.

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