Claude Skills by aicodedecode

Analyze suspicious files safely with static and dynamic techniques to determine capability, indicators, and defensive mitigations.

Using managed Postgres on PaaS platforms — provisioning, connecting, backups, and limits — vendor-neutral patterns.

Using managed Redis on PaaS platforms — caching, eviction, persistence, and sizing — vendor-neutral patterns.

Train new and practicing managers in 1:1s, hiring, delegation, performance management, and team rituals.

Markdown authoring and processing — flavors, linting, conversion, and docs pipelines — use when writing or transforming Markdown.

Conduct market research — sizing, segmentation, competitor analysis, surveys, and actionable market intelligence.

Analyze marketing performance — attribution, funnel analysis, cohort reports, dashboards, and data-driven recommendations.

Build marketing automation — nurture sequences, behavioral triggers, lead lifecycle workflows, and personalization at scale.

Run marketing operations — martech stack, data hygiene, campaign processes, budgeting, and scalable marketing infrastructure.

Generate complete marketing plans — situation analysis, objectives, strategy, tactics, budgets, and measurement frameworks.

Predict sports match outcomes with statistical models: Elo, Poisson, expected goals, features, and proper evaluation. Use when building data-driven sports forecasts — not for gambling advice.

Choosing and combining characterization techniques — diffraction, microscopy, spectroscopy, and thermal methods — to fully describe a material.

Design and build Model Context Protocol servers: tools, resources, prompts, transports, and security. Use when exposing APIs, data, or capabilities to AI assistants via MCP.

Integrate with the Model Context Protocol — its primitives (tools, resources, prompts), transports, auth, and debugging. Use when connecting agents to external data and capabilities through this open protocol.

Accessing Postgres via the open Model Context Protocol — setup, tools, and secure querying patterns.

Build a flexible weekly meal plan with an AI assistant: start from your preferences and constraints, get a 7-day plan with a grocery list, batch-cook smartly, and use up leftovers. Use for weekly cooking, saving money on food, or eating better without rigidity.

Mechanical property measurement — tensile, hardness, fracture, and fatigue testing with proper specimen and data practice.

Reverse-engineer how language models think — features, circuits, and neurons — to explain and audit their behavior.

Medical imaging fundamentals — modalities, DICOM handling, visualization, and quantitative image analysis.

Use AI for meeting notes — automated summaries, action item extraction, and turning meetings into searchable knowledge.

Make meetings fewer, shorter, and better: agenda design, facilitation, async alternatives, and meeting audits. Use when calendars are full of low-value meetings or you're redesigning team collaboration norms.

Prepare for any meeting in minutes: build a 5-minute brief (purpose, people, your goal, questions, materials), research attendees, and capture decisions and action items afterward. Use when someone asks to prep for a meeting, has a big call coming up, or wants a debrief after one.

Search agent memory effectively: recall prior decisions, facts, and context across conversations. Use when an agent needs to remember what was learned before.

Operate the merchant side of a delivery platform — onboarding, menu management, order handling, payouts, and performance.

Metagenomic analysis — taxonomic profiling, assembly, binning, and functional annotation of microbiomes.

Writing reproducible Methods sections — detail calibration, reporting standards, and the reproducibility checklist.

Plan and execute organization-wide MFA adoption — phishing-resistant methods, enrollment, exceptions, and measurement.

Architect micro-frontends: module federation, single-spa, routing, shared dependencies, and team autonomy patterns. Use for large apps split across teams.

16S and microbiome data analysis — denoising, diversity, differential abundance, and compositional methods.

Light microscopy fundamentals — brightfield, fluorescence, confocal, image acquisition, and quantitative analysis.

Design and operate microservices: decomposition, inter-service communication, data ownership, and operational maturity. Use when decomposing systems or reviewing service architectures.

Master Microsoft 365: Outlook, OneDrive, Teams, Word/Excel/PowerPoint, and OneNote at power-user level. Use when working in Microsoft's ecosystem and wanting speed and collaboration mastery.

Use mind mapping effectively: brainstorming, planning, studying, and visual thinking. Use when ideas need spatial organization or linear notes aren't capturing connections.

Build with Mistral AI's models — efficient open and commercial models with strong multilingual and code performance.

MLOps guidance — experiment tracking, model registry, feature stores, training pipelines, deployment, and monitoring.

Design native-feeling mobile apps with platform guidelines, gestures, navigation patterns, and thumb-zone UX.

Operate mobile apps — release management, crash monitoring, phased rollouts, push coordination, and app store ops.

Run serverless GPUs with Modal — deploy models, batch jobs, and agents on demand without managing infrastructure.

Understand the Model Context Protocol deeply — architecture, lifecycle, primitives, security model, and ecosystem patterns. Use when evaluating MCP for your stack or designing protocol-level integrations.

MongoDB modeling, aggregation pipelines, and operations — use when designing schemas or tuning Mongo queries.

Deploying services from a monorepo to PaaS — selective builds, shared code, and per-service pipelines.

Run effective monorepos: workspace layout, task orchestration, versioning, CI scaling, and code sharing. Use when setting up or managing monorepos.

Monte Carlo simulation done well — sampling, variance reduction, MCMC diagnostics, and honest uncertainty quantification.

Design purposeful motion and animation with timing, easing, choreography, and implementation specs.

Write Move modules for Aptos and Sui: resources, abilities, object model, entry functions, unit testing, and package publishing. Use when building on Move-based chains.

Build with MosaicML's MPT models — open models with long-context training and commercial-friendly licensing.

Structural and functional MRI preprocessing — bias correction, skull-stripping, registration, and QC with fMRIPrep-style pipelines.

Design multi-agent systems — communication topologies, coordination protocols, shared state, consensus, and failure handling across agents. Use when one agent isn't enough and you need several to collaborate reliably.

Multiple sequence alignment — tool choice, alignment QC, trimming, and downstream-ready alignments.

MySQL and MariaDB expertise — InnoDB tuning, replication, and query patterns — use when building on or fixing MySQL.