83 boosters for "pipeline" — open source, verified from GitHub, ready to install
If no interval is specified, the default interval is 10 minutes. The loop stops automatically when any of the following occur: 1. Maximum iteration count (100) is reached
"name": "kipi-system", "description": "Founder OS — strategy, execution, relationships, content, daily routines", "author": { "name": "Assaf Kipnis", "email": "assafkip@gmail.com" },
"version": "0.3.48", "description": "Emerge — policy-driven crystallization flywheel for Claude Code: exec patterns promote to stable pipelines, PreToolUse enforcement, optional remote runner", "command": "python3",
Two tiers: hooks handle automatic context flow (surfacing, extraction, compaction survival). MCP tools handle explicit recall, write, and lifecycle operations. Three instances for neural inference. The wrapper defaults to . All three models auto-download via if no server is running (Metal on Appl
"name": "espalier-engineering", "description": "Train your AI coders the way you'd train a vine — discover your codebase's actual patterns, then encode them as rules, skills, agents, hooks, and a guided pipeline so generated code lands inside your conventions on the first try, not the fifth", "homep
Thin CLI wrapper around PaperBanana (a.k.a. PaperVizAgent), a multi-agent figure-generation pipeline for academic papers. The skill provides exactly one script: . It feeds
"description": "Production-ready Claude Code configuration with role-based workflows (PM→Lead→Designer→Dev→QA), safety hooks, 44 commands, 19 skills, 8 agents, 43 rules, 23 hook scripts, auto-learning pipeline, hook profiles, and multi-language coding standards", "name": "xiaobei930", "url": "https:
"description": "Automatic token optimization for structured data using TOON format. Reduces Claude API token usage by 60%+ on JSON, CSV, and YAML data through transparent PostToolUse hook interception.", "name": "PCIRCLE AI" "homepage": "https://github.com/PCIRCLE-AI/toonify-mcp",
"name": "orchestrator", "description": "Autonomous Development Orchestrator - Transform ideas into production-ready applications through multi-agent pipeline. Spec → Plan → Tasks → 100% Working App.", "repository": "https://github.com/devsforge/orchestrator",
"name": "encode-toolkit", "description": "20 ENCODE API tools + 47 expert skills for genomics research. Search experiments, download files with MD5 verification, run pipelines, and cross-reference 14 databases.", "name": "Dr. Alex M. Mawla, PhD",
Self-configuring content creation pipeline. Creates SEO & GEO-optimized content matched to your project and brand voice, then validates with geo-lint until clean. For project-specific rules (components, file naming, categories), the skill
"description": "Smart command safety filter for Claude Code — parses shell pipelines and evaluates per-command safety rules to auto-approve safe commands and block dangerous ones",
Cocode is a Windsurf rules booster that provides guidelines for writing and editing Pipelex pipelines, covering file naming, structure, and best practices for code repository analysis workflows.
Cocode provides GitHub Copilot users with comprehensive coding standards and best practices guidance, covering type hints, Pydantic models, documentation, and error handling to enforce consistent code quality across teams.
"description": "Token-efficient vibe-coding pipeline with hard guardrails: brainstorm, plan, isolate, exec, verify, review, integrate. Halts on 'Expected' mismatches instead of committing bad work.", "subagent-orchestration", "skills": "./skills/",
"name": "enterprise-team", "displayName": "Enterprise Team - Hire a Whole Company", "description": "Complete virtual company with 76 specialized AI agents across Engineering, Product, Infrastructure, Data, Security, Marketing, Sales, Finance, Legal, and People. Pipeline modes (Full/Sprint/Micro), De
"name": "cre-skills", "description": "112 institutional-grade CRE skills covering ~97% of commercial real estate workflow steps. Deal screening, underwriting, structuring, due diligence, capital markets, market research, asset management, leasing, investor relations, development, disposition, sourci
"$schema": "https://plugins.claude.ai/schema/marketplace.json", "description": "Browser automation and AI agent skills for Notte. Run real cloud or local browsers, scrape JavaScript-rendered pages with Pydantic-typed output, drive multi-step workflows behind auth and captchas, and deploy any browser
"name": "claude-local-docs", "version": "1.0.23", "description": "Local-first Context7 alternative — indexes JS/TS dependency docs with a 4-stage RAG pipeline (vector + BM25 + RRF + cross-encoder reranking). Uses TEI Docker containers for GPU-accelerated embeddings and reranking.",
"name": "claude-kit", "description": "Configuration factory for Claude Code — 16 skills, 7 agents, 15 stacks, 6 hooks, audit scoring (0-10), and practices pipeline. Bootstrap, sync, audit any project.", "name": "Luis Eiman",
Automates configuration of container image registries (ghcr.io, Docker Hub, Harbor) with vulnerability scanning, image signing, and retention policies for secure CI/CD pipelines. Essential for DevOps engineers and platform teams managing containerized applications at scale.
A multi-agent orchestration system that designs team compositions, manages shared context, and resolves conflicts to drive complex development tasks toward completion. Ideal for teams needing coordinated AI agents across multiple phases of development workflows.
An ML engineer agent that handles end-to-end production ML workflows including model serving, feature engineering, A/B testing, and monitoring for TensorFlow/PyTorch deployments. Ideal for teams building scalable ML systems who need guidance on MLOps best practices and production readiness.
A versatile AI agent that provides expert guidance across data engineering, machine learning, MLOps, and generative AI workflows—ideal for developers building production ML systems, data pipelines, and AI applications.
