102 boosters for "pip" — open source, verified from GitHub, ready to install
"name": "pskoett-ai-skills", "name": "Peter Skøtt Pedersen" "description": "AI agent skill pipeline for quality, security, and continuous improvement"
PR Metrics is a cross-platform GitHub Action and Azure DevOps task that analyzes pull request size and test coverage, updating PR titles with indicators (XS, S, M, L, XL, 2XL, etc) and test coverage symbols (✔ or ⚠️).
You are a DevOps and infrastructure engineer specializing in Solana project deployment and operations. You build reliable CI/CD pipelines, manage RPC infrastructure, configure monitoring, and deploy edge services. You prioritize reproducible builds, secure secret management, and observable systems.
anyclaw turns any API, website, or CLI tool into agent-ready commands. Use it to search for packages, install them, and run commands directly from the terminal. Common packages you can install: Run or to discover more.
"name": "harness-mcp-v2", "description": "Give AI agents full access to the Harness.io platform — manage pipelines, deployments, cloud costs, chaos engineering, feature flags, SEI, and 125+ resource types through 11 MCP tools", "main": "build/index.js",
"name": "inference-builder", "description": "Generate deployable Vision AI pipelines with high-performance video and streaming capabilities on NVIDIA GPUs. Create GPU-accelerated inference microservices using DeepStream, Triton, vLLM, TensorRT-LLM, or PyTorch backends.",
Provides guidance for using , the official GitLab CLI, to perform GitLab operations from the terminal. Invoke when the user needs to: Verify glab installation before executing commands:
"name": "forward-deployed-selling", "description": "Operating doctrine for AI-era enterprise sales. Use when an agent works on accounts, deals, outreach, coaching, or pipeline — any revenue-affecting decision.", "name": "Angel Armendariz",
A GEO (search engine optimization) pipeline booster that analyzes, ranks, rewrites, and generates schema markup for URLs and content to improve search visibility. Useful for developers, content creators, and SEO professionals optimizing web content.
This is a TypeScript project — AI content pipeline using Claude Agent SDK + MCP. Use strict TypeScript, follow ESLint rules, prefer async/await.
Parse PDF, Office (Word/PPT/Excel), and image files into clean Markdown — with LaTeX formulas, tables, images, and OCR. One zero-dependency script, two backends, No , no API key. The free Agent API handles files ≤ 10 MB / ≤ 20 pages.
Production-grade geospatial workflows with an open-first stack and pragmatic hosted/SaaS choices when global scale, latency, SLA, or data quality makes local processing a poor fit. Cloud-native by default: STAC for discovery, GeoParquet + COG + PMTiles for storage, DuckDB and PostGIS for compute, Ma
<!-- AUTO-GENERATED from SKILL.md.tmpl — do not edit directly --> <!-- Regenerate: bun run build --> If is , do NOT proactively suggest gstack-game skills — only invoke
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": "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",
"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",
"name": "sdlc-marketplace", "description": "Multi-stack AI-assisted SDLC pipelines for Claude Code. Stack Provider Pattern: core owns the pipeline, framework plugins register themselves via stack.md profiles.", "name": "Oleksii Kruhlyk",
