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Minimalist Pricing Guide

slavingia/skills

Guides entrepreneurs through minimalist pricing, helping them choose cost-based or value-based models, set an initial price, plan pricing tiers, and calculate how many customers they need to reach financial independence.

Minimalist Idea Validation

slavingia/skills

Validate business ideas with Sahil Lavingia’s Minimalist Entrepreneur playbook by selling a manual version, defining precise users, testing processes without code, and gauging if customers will pay before building.

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.

Multi-Tenant SaaS Architecture Design

saas-multi-tenant

sickn33/antigravity-awesome-skills

This guide provides comprehensive patterns for designing and implementing secure multi-tenant SaaS applications using shared databases. It covers critical techniques like Row-Level Security (RLS) in PostgreSQL, implementing tenant-aware middleware in TypeScript (Express/Fastify), and enforcing data scoping at the ORM level (Prisma/Drizzle). Learn how to prevent data leakage and manage tenant isolation across shared schemas.

TDD Workflow Principles

sickn33/antigravity-awesome-skills

Summarizes the Test-Driven Development workflow with RED/GREEN/REFACTOR phases, the AAA pattern, prioritization cues, anti-patterns, and AI-augmented agent roles to guide implementation.

Reviewer Ablation Planner

ablation-planner

wanshuiyin/Auto-claude-code-research-in-sleep

Guides ML teams through reviewer-style ablation planning, covering context gathering, structured experiment design, feasibility checks, and compute-aware sequencing before implementation.

UEFI Bootkit Persistence Analysis

analyzing-uefi-bootkit-persistence

mukul975/Anthropic-Cybersecurity-Skills

Analyzes UEFI bootkit persistence mechanisms across firmware implants, ESP tampering, and Secure Boot bypass techniques to guide firmware integrity audits, ESP inspection, and malware investigations.

Canary File Ransomware Monitoring

deploying-decoy-files-for-ransomware-detection

mukul975/Anthropic-Cybersecurity-Skills

Deploys decoy canary files across sensitive shares and endpoints, monitors them with watchdog or FIM tools, and triggers immediate alerts when ransomware touches or modifies the bait, enabling low-noise detection and response validation.

Design System Toolkit

affaan-m/everything-claude-code

Generates cohesive design systems, audits visual consistency, and checks for AI-generated slop in styling-heavy projects by extracting tokens, scoring UI dimensions, and flagging problematic patterns.

Ransomware Entropy Behavior Defense

detecting-ransomware-encryption-behavior

mukul975/Anthropic-Cybersecurity-Skills

Real-time detection pipeline that watches entropy spikes, file system I/O, and behavioral heuristics to flag ransomware-style encryption routines before they propagate and to help trigger containment actions.

Serverless Injection Defense

detecting-serverless-function-injection

mukul975/Anthropic-Cybersecurity-Skills

Detects and prevents injection attacks targeting serverless functions by combining static analysis, event mapping, runtime behavior monitoring, and IAM auditing so SOCs can spot poisoned triggers, malicious layers, and privilege escalations across Lambda, Azure, and GCP environments.

Experiment Plan Deployment and Execution

experiment-bridge

wanshuiyin/Auto-claude-code-research-in-sleep

This skill acts as a crucial bridge, automating the transition from a conceptual experiment plan to fully deployed and executable code. It parses structured experiment roadmaps, implements necessary training/evaluation scripts, manages dependencies, and deploys the experiment setup to GPU environments. It ensures reproducibility through mandatory code review and structured result collection.

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