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Vibers Human Code Review

vibers-code-review

sickn33/antigravity-awesome-skills

Vibers provides a human code review workflow for AI-generated GitHub projects; add the collaborator, GitHub Action, and commit guidance to receive spec- and security-focused feedback plus follow-up PR fixes.

Pitch Deck Intelligence

analyze-pitch-deck

davepoon/buildwithclaude

Evaluates pitch decks slide by slide, benchmarking against the 11-slide VC template, scoring every section, flagging common killer patterns, and benchmarking versus famous decks for actionable fundraising feedback.

Analyzing Windows LNK Files Artifacts

analyzing-windows-lnk-files-for-artifacts

mukul975/Anthropic-Cybersecurity-Skills

This comprehensive guide provides a detailed workflow for parsing Windows LNK shortcut files in a digital forensics context. It extracts critical artifacts including target paths, timestamps (creation, access, modification), volume serial numbers, and machine identifiers. It is essential for reconstructing user file access history, tracking accessed files on network shares, and building robust forensic timelines.

OpenVLA-OFT Robotics Tuning

fine-tuning-openvla-oft

Orchestra-Research/AI-Research-SKILLs

Guides fine-tuning and evaluation of OpenVLA-OFT/OFT+ for robot action generation, covering LoRA adaptation, continuous action heads, FiLM conditioning, and LIBERO/ALOHA benchmarks plus deployment considerations.

GEO Delta Report

zubair-trabzada/geo-seo-claude

Generates monthly progress summaries for GEO agency clients by comparing baseline and current audits, highlighting score gains, crawler access, and action-item status to prove value in retention discussions.

Hard Predict Future

hard-predict-future

davepoon/buildwithclaude

A foresight agent that runs a rigorous 12-step pipeline combining Claude’s qualitative intelligence with Python’s deterministic arithmetic to analyze high-stakes future scenarios, infer reasonable horizons, and surface quantitative signals for prediction requests.

Secure Conduit for OT Remote Access

implementing-conduit-security-for-ot-remote-access

mukul975/Anthropic-Cybersecurity-Skills

This guide details implementing an IEC 62443 compliant conduit architecture for secure remote access into Operational Technology (OT) environments. It mandates the use of jump servers, MFA gateways, session recording, and approval workflows within a DMZ to strictly control vendor and engineer access, eliminating direct VPN connections to critical ICS assets.

Merge Winning Agent Results

alirezarezvani/claude-skills

This command merges the results of the highest-ranked agent from a specified or latest session into the base branch. It automates the finalization of a development cycle by ensuring a clean and traceable history. Functionality includes merging the winner's branch, archiving all losing agents' commits using Git tags, and cleaning up temporary worktrees.

Claude Plugin Builder

public-plugin-builder

davepoon/buildwithclaude

Guides users through a structured 23-step interview to design, generate, and deploy Claude plugins across claude.ai and Claude Code, handling activation prompts, platform quirks, and GitHub pushes.

Foresight Activation Guide

soft-predict-future

davepoon/buildwithclaude

Soft Predict Future is a structured foresight engine that triggers whenever the user asks about future outcomes or scenarios. It enforces a nine-step analytical pipeline (validation, signal collection, scoring, driver extraction, etc.), highlights required searches and inputs, and directs the user to web-enabled reasoning for predictive analysis.

Startup Screening Assistant

soft-screening-startup

davepoon/buildwithclaude

Guides analysts through soft-mode startup screening by extracting company profiles, scoring eight VC dimensions, applying four investor lenses, and delivering a PASS/DECLINE verdict with a concise memo.

Head-to-Head Coding Agent Evaluation

affaan-m/everything-claude-code

A lightweight CLI tool for systematically comparing various coding AI agents (such as Claude Code, Aider, and Codex) head-to-head. It measures crucial metrics—pass rate, API cost, execution time, and consistency—on reproducible tasks defined via YAML manifests. Use this to objectively select the best agent for your codebase or to validate model updates before production deployment.

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