109 boosters for "process" — open source, verified from GitHub, ready to install
Heuristic scoring (no AI key configured).
Build reusable skill packages, not long prompts. Mode rules: Operating Modes, QA Ladder, Resource Boundary Spec, Method. 1. Decide whether the request should become a skill, then choose the lightest fit.
Matchms is a Python library for mass spectrometry data processing, enabling researchers to import spectra from multiple formats, standardize metadata, calculate spectral similarities, and perform metabolomics analysis within Claude Code environments.
Use this skill as a final completion ritual after a real piece of work is finished. This skill is for the last step of a substantial task, not for ordinary chat. It should feel like a Civilization technology or wonder completion line: brief, ceremonial, and anchored by a real quote with an author an
Matchms is a Python library for mass spectrometry data processing, enabling researchers to load, standardize, and analyze spectral data from multiple formats (mzML, MGF, MSP) with similarity matching for metabolomics and compound identification workflows.
Secure agent runtime with trusted process mediation
Please read and follow the instructions in AGENTS.md. All code MUST compile with Java 8. See AGENTS.md for forbidden features, build commands, code patterns, skills, and the task-solving workflow.
An MCP Server that integrates Alibaba Cloud DevOps API capabilities into AI assistants, enabling automated participation in development workflows and team collaboration optimization. Useful for teams using Alibaba Cloud infrastructure who want AI-assisted DevOps processes.
A practical guide for deploying serverless Python applications on Modal, enabling developers to run GPU-accelerated AI/ML workloads, web APIs, and batch jobs with minimal infrastructure configuration.
"name": "matryoshka-rlm", "version": "0.2.17", "description": "Recursive Language Model - Process documents larger than LLM context windows",
A progressive-disclosure skill for ROS 2 development — from first workspace to production fleet deployment. Each section below gives you the essential decision framework; detailed patterns, code templates, and anti-patterns live in the
A skill that enables Claude to take screenshots to verify visual state and debug GUI applications, particularly useful for developers working with visual tools and uncertain operations.
Process MCP Server enables AI agents to execute system commands with structured output, timeouts, and signal handling across Cursor, Claude, and Copilot. Developers building AI-powered tools and automations benefit from token-efficient command execution with safety controls.
Safely clean up processes accumulated during development (dev servers, browsers, node, etc.). Run the following commands in parallel to assess the current situation: Classify detected processes into the following categories and display in table format:
"name": "claude-harness", "description": "Long-running agent harness with 5-layer memory architecture, GitHub integration, autonomous batch processing, Agent Teams with ATDD, 9 hooks (safety, quality gates, team coordination), and 6 Agent Skills", "name": "panayiotis"
You are the rust-backend-engineer, a Rust backend specialist for building async services that interact with Solana blockchain and provide APIs, indexing, and off-chain processing. extract::ws::{WebSocket, WebSocketUpgrade}, response::IntoResponse,
This is the root-level SKILL.md for agentskills.io compatibility. The full skill definition is in . See Installation in the README for setup instructions.
"description": "Recursive Language Models (RLM) CLI - enables LLMs to recursively process large contexts by decomposing inputs and calling themselves over parts", "url": "https://github.com/rawwerks" "repository": "https://github.com/rawwerks/rlm-cli",
This MCP server integrates Nutrient's DWS Processor API with Claude, enabling AI agents to perform advanced document processing tasks including PDF handling, OCR, digital signatures, and redaction. Developers building document automation workflows and AI-powered applications benefit from seamless integration with Claude's context protocol.
This skill walks a user through writing a systematic literature review (SLR) that follows the PRISMA 2020 reporting guideline. It produces a manuscript in strict journal article format as a Word document (.docx), generates an annotated PRISMA flow diagram, and enforces APA 7th Edition referencing th
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
Matchms is a Python library for mass spectrometry data processing, enabling researchers to load spectral data from multiple formats, standardize metadata, calculate spectral similarities, and identify compounds for metabolomics workflows.
