Claude Skills by aicodedecode

Realtime subscriptions with PocketBase — live updates, presence patterns, and scaling — use for collaborative or live UI features.

Distribute podcasts effectively — directories, RSS feeds, show notes SEO, clips, and cross-promotion.

Market through podcasts — launching shows, guest booking, promotion, and measuring podcast ROI.

Free, open AI APIs via Pollinations — text, image, and audio generation with minimal setup.

Polymer fundamentals — molecular weight, polymerization methods, thermal transitions, and mechanical behavior of plastics and elastomers.

Coach the Pomodoro Technique properly: interval design, task sizing, interruption handling, and adapting cycles to real work. Use when building focused work habits or fighting distraction and procrastination.

Design and build a standout professional portfolio with case studies, project curation, and presentation.

Build CSS pipelines with PostCSS: autoprefixer, nesting, custom plugins, and integration with bundlers. Use when processing CSS in modern build setups.

Deep PostgreSQL know-how — indexing, tuning, JSONB, and administration — use when working with or troubleshooting Postgres.

Professional PowerShell: cmdlets, pipeline patterns, modules, remoting, and Windows automation. Use when writing, reviewing, or structuring PowerShell scripts and modules.

Run public relations — media outreach, press releases, thought leadership, and crisis communications.

Design compelling slide decks with narrative structure, visual clarity, and delivery-ready polish.

Develop pricing strategy — research, models, packaging, testing, and communicating price changes.

Design for print with color management, bleeds, paper selection, prepress, and production specs.

Prisma ORM guidance — schema design, migrations, query optimization, relations, and production operations.

Prisma ORM mastery — schema design, migrations, and query optimization — use when building with Prisma.

Implement product analytics — event tracking, funnels, retention, experimentation, and data-informed decisions.

Do product marketing — positioning, messaging, launches, sales enablement, and competitive intelligence.

Prometheus guidance — metrics design, PromQL, alerting rules, exporters, recording rules, and operations.

Assemble a promotion packet with scope evidence, stakeholder support, and level-criteria mapping.

Act as a dedicated prompt engineer — audit existing prompts, diagnose failure modes, rewrite for reliability, and build prompt test suites. Use when you need a systematic review of prompts already in production.

Team-level guidance for prompt engineering — standards, review processes, prompt libraries, versioning, and rollout practices. Use when standardizing how an organization writes and maintains prompts.

Prompt engineering guidance — system prompts, few-shot, chain-of-thought, structured output, and evaluation-driven iteration.

Craft effective prompts — instruction design, few-shot examples, structured outputs, chain-of-thought, and iterative prompt refinement. Use when a model's responses need to be more reliable, specific, or correctly formatted.

Defend LLM systems against prompt injection — attack taxonomy, input handling, output validation, and layered mitigations. Use when building LLM features that process untrusted input. Defensive only.

Convert text briefs and ideas into structured design concepts with direction, specs, and production plans.

Take AI-generated UI into production: code review, hardening, accessibility, performance, and design-system integration. Use after generating UI with AI tools.

Designing grant proposal figures — conceptual models, preliminary-data displays, and schematics that sell the science.

Predicting protein structures with AlphaFold/ESMFold — setup, confidence assessment, and honest interpretation.

Mass-spectrometry proteomics — experimental design, data processing, quantification, and functional interpretation.

Version-controlled lab protocols — writing, reviewing, versioning, and change control for SOPs.

Psychological measurement — scale construction, factor analysis, IRT, and evaluating reliability and validity.

Measuring psychotherapy effectiveness — outcome instruments, reliable change, and benchmarking clinical significance.

Designing publication-quality scientific figures — layout, typography, data-ink, and journal-ready export.

Browser automation with Puppeteer — Chrome DevTools Protocol control, scraping, and PDF generation — use for scripted Chrome workflows.

Run collaborative purple-team exercises where offense and defense work together to validate and improve detection coverage.

Design push notification strategy — opt-in flows, segmentation, timing, personalization, and retention-driving messaging.

Engineer push notification systems — architecture, delivery, personalization, and cross-platform best practices.

Build excellent Progressive Web Apps: manifests, service workers, offline strategy, installability, and app-like UX. Use when building or reviewing PWAs.

Build Progressive Web Apps: manifests, service workers, offline strategies, installability, and push. Use for app-like web experiences.

Build type-safe AI agents with typed agent frameworks — structured outputs via data models, dependency injection, tool validation, and testable agent code. Use when agent reliability matters and you want types enforcing contracts.

Idiomatic Python: project layout, packaging, type hints, testing, async, and performance. Use when writing, reviewing, or structuring Python projects.

PyTorch guidance — tensors, autograd, training loops, DataLoader, distributed training, and production inference.

Plan software testing systematically — test strategy, risk-based prioritization, test case design, automation decisions, and defect triage. Use when deciding what to test and how before writing a single test.

Generate and customize QR codes with error correction, styling, and scan-reliability best practices.

Analyze qualitative data rigorously — coding, thematic analysis, grounded theory, and trustworthy interpretation. Use when working with interviews, open-ended responses, or observational data.

Quantize models for efficient inference — precision formats, calibration, accuracy validation, and hardware considerations. Use when models are too big, slow, or expensive to serve at full precision.

Build with Qwen's code models — strong open code generation, completion, and agentic coding capabilities.

Build with Alibaba's Qwen models — strong open-weight multilingual models from small to frontier scale.

Professional R: tidyverse workflows, vectorization, packaging, R Markdown reporting, and Shiny apps. Use when writing, reviewing, or structuring R code for analysis or production.