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Apply Refactoring Guru Rules

refactoring-guru

ciembor/agent-rules-books

This skill applies Refactoring.Guru-inspired rules for diagnosing code smells and selecting appropriate refactoring techniques. It helps preserve behavior while avoiding uncontrolled redesign. Before making design or code decisions, read the mini rules first. Use the full guide only as a deeper reference when needed. It ensures targeted cleanup without over-engineering.

Style-Pack Video Application

taste-application

Generate and cut videos against a distilled style pack: plan takes, generate with fal, apply measured LUT grading, edit at cadence, weave footage, composite overlays, mint 3D props, and verify results numerically.

Technical Discovery and Design Planning

tech-leads-club/agent-skills

TLC Discover transforms unshaped ideas into verdicts and design documents covering decisions, flows, and contracts. It helps teams research problems, understand feasibility, and decide whether to build before planning how. This tool prevents premature solution proposals and ensures concrete values for decisions, creating a plan anyone can follow without attending the original discussion.

Legal Risk Assessment Framework

legal-risk-assessment

lawve-ai/awesome-legal-skills

This skill helps legal teams evaluate and classify legal risks using a severity and likelihood matrix. It calculates risk scores to determine appropriate actions, from monitoring low risks to escalating critical issues to senior counsel. Useful for contract review, deal exposure analysis, and compliance management.

French Case Law Research

recherche-jurisprudence

lawve-ai/awesome-legal-skills

Search and cite French and European case law and statutes using LibreJustice MCP tools. Supports queries on court decisions (Cour de cassation, Conseil d'État, courts of appeal, etc.), extraction of quotable excerpts, verification of authority, and analysis of judicial trends.

Systems Engineering Theory Analysis

jse-tju-theory-analysis

brycewang-stanford/Awesome-Journal-Skills

Skill for designing and auditing theoretical results (propositions, theorems, equilibria, stability) for the Journal of Systems Engineering, ensuring formal results explain system mechanisms rather than merely containing formulas.

Systems Engineering Manuscript Validation Design

jse-tju-validation

brycewang-stanford/Awesome-Journal-Skills

A skill for designing evidence and validation strategies for academic manuscripts submitted to the Journal of Systems Engineering. It covers standards for numerical experiments, simulations, real data, case studies, and empirical research, ensuring claims are supported by appropriate evidence rather than generic robustness checks.

Automated Test Gap Audit

github/awesome-copilot

This skill performs a read-only audit to identify missing, weak, or stale test coverage in codebases. It analyzes full repositories or specific scopes like PRs, features, and APIs to recommend concrete test cases. It prioritizes high-risk areas and ensures behavior is properly covered without executing tests or performing security reviews.

AI Project Diagnosis and Planning

00-andruia-consultant

sickn33/agentic-awesome-skills

This skill acts as an AI Solutions Architect to diagnose and plan AI projects. It analyzes existing code or constraints for new projects, proposes existing skills, and generates implementation plans and task backlogs in Spanish. It helps define technical roadmaps and expert squads for both new and evolving projects.

Process Deliberation Queue Frames

sickn33/agentic-awesome-skills

Drain acc's open and waiting brain_frames checkpointed by headless runs, submit proposals via acc_act(runtime="continue"), and record predictions for Work Model calibration.

ACC Goal Solve Routing

sickn33/agentic-awesome-skills

Routes a goal through ACC's scored-memory loop, deliberates returned brain frames, submits proposals via continue, and closes outcomes honestly.

AI Agent Tool Builder

agent-tool-builder

sickn33/agentic-awesome-skills

This skill focuses on designing tools for AI agents to interact with the real world effectively. It covers schema design, JSON Schema best practices, error handling, and validation. It also addresses description writing for LLMs and the emerging MCP standard. Proper tool design prevents hallucinations and ensures safety. Includes Python SDK examples for function calling.

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