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Agent Eval Benchmarking

affaan-m/everything-claude-code

Agent Eval Benchmarking orchestrates repeatable CLI comparisons of coding agents like Claude Code, Aider, and Codex, collecting pass rate, cost, time, and consistency metrics on your repository tasks so you can pick the right assistant with data.

Design and Build MCP Servers

build-mcp-server

anthropics/claude-plugins-official

This guide assists developers in designing and architecting Model Context Protocol (MCP) servers that integrate deeply with LLMs like Claude. It is not a coding skill, but a comprehensive consultation process that guides users through use case interrogation, determines the optimal deployment model (e.g., Remote HTTP, MCPB), and selects the appropriate tool-design pattern for seamless, robust integration.

Windows Shell Reliability Patterns

windows-shell-reliability

sickn33/antigravity-awesome-skills

Documented guidelines for running PowerShell and CMD commands reliably on Windows, covering encoding handling, path quoting, cmdlet substitutions, dotnet CLI best practices, environment variables, long paths, and troubleshooting common shell errors.

Blueprint Construction Planner

sickn33/antigravity-awesome-skills

Blueprint turns a single objective into an executable, multi-step construction plan tailored for coding agents and multi-session teams, complete with context briefs, review gates, dependency awareness, and installable via `/blueprint <project> <objective>`.

Phase-Gated Debugging Protocol

phase-gated-debugging

sickn33/antigravity-awesome-skills

This skill enforces a rigorous, 5-phase debugging protocol (Reproduce, Isolate, Root Cause, Fix, Verify) for AI coding agents. It forces a disciplined approach, preventing agents from guessing fixes or making premature edits. Use this when debugging complex, intermittent, or hard-to-isolate bugs to ensure the root cause is fully confirmed before any code changes are applied, maximizing debugging accuracy.

Gradio: Build Interactive ML UIs

hugging-face-gradio

sickn33/antigravity-awesome-skills

Gradio is a powerful Python library designed for building and sharing machine learning demo applications and user interfaces (UIs). It allows developers to quickly create interactive web prototypes, from simple interfaces to complex chat interfaces, streamlining the process of demonstrating ML models without needing extensive front-end coding knowledge. It supports advanced features like custom layouts and streaming outputs.

Automated Agent Compliance Measurement

affaan-m/everything-claude-code

This tool meticulously measures whether AI coding agents adhere to predefined skills, rules, or architectural guidelines. It automatically generates expected behavioral sequences and runs scenarios with varying prompt strictness. It deeply analyzes tool call traces, classifies behaviors using LLMs, and generates detailed compliance reports, ensuring robust quality control and adherence to defined workflows.

Spec-Driven Development Pipeline

spec-driven-develop

zhu1090093659/spec_driven_develop

A standardized, multi-phase workflow designed for initiating large-scale, complex software tasks (e.g., migration, overhaul, refactoring). This process ensures that all necessary planning, project analysis, risk assessment, and task decomposition are completed *before* any actual coding begins. It guides users through intent confirmation, deep codebase analysis, and creating a detailed, trackable development plan.

Jira Integration Helper

jira-integration

affaan-m/everything-claude-code

Provides MCP and REST-based Jira integrations to fetch, analyze, update, comment, transition, and link tickets directly from an AI coding workflow, helping developers surface requirements, track progress, and automate Jira interactions.

Go Safety Practices

samber/cc-skills-golang

Defensive Go coding guidance that highlights nil traps, map/slice aliasing, numeric conversions, defer misuse, and other runtime pitfalls so engineers can prevent panics, silent corruption, and resource leaks during implementation or review.

Go Security Audit Playbook

golang-security

samber/cc-skills-golang

Guidance for Go security engineers covering injection, cryptography, filesystem, network, secrets, memory safety, and logging so audits or coding efforts stay defense-in-depth aware.

Spec Driven Development

spec-driven-development

addyosmani/agent-skills

Creates a structured spec before coding, covering objectives, commands, structure, style, tests, boundaries, and success criteria so teams surface assumptions and validate each phase before implementation.

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