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Claude Skills by Fmarzochi
github.com/Fmarzochi356 skills2 installs492 views
- Python TestingPython testing best practices using pytest including fixtures, parametrization, mocking, coverage analysis, async testing, and test organization. Use when writing or improving Python tests.Votes: 0GitHub stars: 61
- Search FirstResearch-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Systematizes the "search for existing solutions before implementing" approach. Use when starting new features or adding functionality.Votes: 0GitHub stars: 61
- Security ReviewUse this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.Votes: 0GitHub stars: 61
- Tdd WorkflowUse this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.Votes: 0GitHub stars: 61
- Verification LoopA comprehensive verification system for Kiro sessions.Votes: 0GitHub stars: 61
- Agent EvalHead-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metricsVotes: 0GitHub stars: 61
- Agent Harness ConstructionDesign and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.Votes: 0GitHub stars: 61
- Agent Introspection DebuggingStructured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.Votes: 0GitHub stars: 61
- Agent SortBuild an evidence-backed EGC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when EGC should be trimmed to what a project actually needs instead of loading the full bundle.Votes: 0GitHub stars: 61
- Agentic EngineeringOperate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.Votes: 0GitHub stars: 61
- Ai First EngineeringEngineering operating model for teams where AI agents generate a large share of implementation output.Votes: 0GitHub stars: 61
- Autonomous Agent HarnessTransform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.Votes: 0GitHub stars: 61
- Autonomous Lesson LearningAutonomous loop that learns while it runs: recalls stored lessons before each iteration, saves new lessons on failures and wins, and reinforces known lessons instead of repeating mistakes. Orchestrates continuous-agent-loop patterns with the egc-memory lesson tools.Votes: 0GitHub stars: 61
- Autonomous LoopsPatterns and architectures for autonomous AI coding loops: from simple sequential pipelines to RFC-driven multi-agent DAG systems.Votes: 0GitHub stars: 61
- Continuous Learning V2Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.Votes: 0GitHub stars: 61
- Continuous LearningAutomatically extract reusable patterns from AI coding sessions and save them as learned skills for future use.Votes: 0GitHub stars: 61
- Cost Aware Llm PipelineCost optimization patterns for LLM API usage: model routing by task complexity, budget tracking, retry logic, and prompt caching.Votes: 0GitHub stars: 61
- Deep ResearchMulti-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.Votes: 0GitHub stars: 61
- Exa SearchNeural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.Votes: 0GitHub stars: 61
- Fal Ai MediaUnified media generation via fal.ai MCP: image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.Votes: 0GitHub stars: 61
- Prompt OptimizerAnalyze raw prompts, identify intent and gaps, match EGC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only: never executes the task itself. TRIGGER when: user says "optimize prompt", "improve my prompt", "how to write a prompt for", "help me prompt", "rewrite this prompt", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: "优化prompt", "改进prompt", "怎么写prompt", "帮我优化这个指令". DO NOT TRIGGER when: user wants ...Votes: 0GitHub stars: 61
- Regex Vs Llm Structured TextDecision framework for choosing between regex and LLM when parsing structured text: start with regex, add LLM only for low-confidence edge cases.Votes: 0GitHub stars: 61
- Token Budget AdvisorOffers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: "token budget", "token count", "token usage", "token limit", "response length", "answer depth", "short version", "brief answer", "detailed answer", "exhaustive answer", "respuesta corta vs larga", "cuántos tokens", "ahorrar tokens", "responde al 50%", "dame la versión corta", "quiero contro...Votes: 0GitHub stars: 61
- Agent Architecture AuditFull-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature.Votes: 0GitHub stars: 61
- Agentic OsBuild persistent multi-agent operating systems on your AI coding tool. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases.Votes: 0GitHub stars: 61
- Android Clean ArchitectureClean Architecture patterns for Android and Kotlin Multiplatform projects: module structure, dependency rules, UseCases, Repositories, and data layer patterns.Votes: 0GitHub stars: 61
- Architecture Decision RecordsCapture architectural decisions made during AI coding sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.Votes: 0GitHub stars: 61
- BlueprintTurn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is comple...Votes: 0GitHub stars: 61
- Compose Multiplatform PatternsCompose Multiplatform and Jetpack Compose patterns for KMP projects: state management, navigation, theming, performance, and platform-specific UI.Votes: 0GitHub stars: 61
- Jpa PatternsJPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.Votes: 0GitHub stars: 61
- Liquid Glass DesigniOS 26 Liquid Glass design system: dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.Votes: 0GitHub stars: 61
- Carrier Relationship ManagementCodified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.Votes: 0GitHub stars: 61
- Customer Billing OpsOperate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe. Use when the user needs to help a customer, inspect subscription state, or manage revenue-impacting billing operations.Votes: 0GitHub stars: 61
- Energy ProcurementCodified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developi...Votes: 0GitHub stars: 61
- Finance Billing OpsEvidence-first revenue, pricing, refunds, team-billing, and billing-model truth workflow for EGC. Use when the user wants a sales snapshot, pricing comparison, duplicate-charge diagnosis, or code-backed billing reality instead of generic payments advice.Votes: 0GitHub stars: 61
- Inventory Demand PlanningCodified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.Votes: 0GitHub stars: 61
- Lead IntelligenceAI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.Votes: 0GitHub stars: 61
- Logistics Exception ManagementCodified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.Votes: 0GitHub stars: 61
- Nutrient Document ProcessingProcess, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.Votes: 0GitHub stars: 61
- Production SchedulingCodified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.Votes: 0GitHub stars: 61
- Quality NonconformanceCodified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling suppl...Votes: 0GitHub stars: 61
- Returns Reverse LogisticsCodified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.Votes: 0GitHub stars: 61
- Api DesignREST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.Votes: 0GitHub stars: 61
- Backend PatternsBackend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.Votes: 0GitHub stars: 61
- Clickhouse IoClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.Votes: 0GitHub stars: 61
- Database MigrationsDatabase migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).Votes: 0GitHub stars: 61
- Django CeleryDjango + Celery async task patterns: configuration, task design, beat scheduling, retries, canvas workflows, monitoring, and testing. Use when adding background jobs, scheduled tasks, or async processing to a Django app.Votes: 0GitHub stars: 61
- Django PatternsDjango architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.Votes: 0GitHub stars: 61
- Django SecurityDjango security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.Votes: 0GitHub stars: 61
- Dotnet PatternsIdiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications.Votes: 0GitHub stars: 61