metinduraktr-44
- 342 skills
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- ▌ Creative Portfolio Resume · metinduraktr-44Balance visual design with ATS compatibility for creative roles. Use when the user is in design, art, writing, marketing creative, or any visual/creative field and needs a resume that looks distinctive but still parses.
- ▌ Offer Comparison Analyzer · metinduraktr-44Compare multiple job offers side-by-side with total compensation analysis. Use when the user has multiple offers and wants to compare salary, equity, benefits, or total comp.
- ▌ Postgresql Optimization · metinduraktr-44PostgreSQL database optimization workflow for query tuning, indexing strategies, performance analysis, and production database management.
- ▌ Context Architecture · metinduraktr-44Audit a codebase and bind every claim it makes about itself to a mechanism that fails when the claim stops being true, so it is legible to people and AI agents. Applies Context Architecture's nine principles: make structure say what the system does, place AGENTS.md at boundaries, codify conventions, and bind every claim the repo makes about itself to a mechanism (compiler, linter, automated tests, review) that fails when the claim stops being true. Works greenfield (a repo born legible) and brownfield (a repo restructured in steps). Use when an agent reimplements code that already exists, invents structure, follows stale or deleted docs, propagates a deprecated pattern, or resolves ambiguity at random, or when asked to make a repository "agent-ready", "AI-legible", or to add or fix AGENTS.md / CLAUDE.md files.
- ▌ Telegram Bot Builder · metinduraktr-44 bundleThis skill should be used when the user asks to "create a Telegram bot", "build a Telegram chatbot", "set up a Telegram webhook", "add inline keyboards to a bot", "handle Telegram callback queries", "implement Telegram payments", "send media via Telegram bot", "configure Telegram bot commands", "deploy a Telegram bot", or mentions the Telegram Bot API, telegram bot tokens, getUpdates, setWebhook, or bot frameworks like node-telegram-bot-api, grammy, python-telegram-bot, or aiogram. Provides comprehensive guidance for building production-ready Telegram bots with Node.js and Python.
- ▌ Mac Storage Cleaner · metinduraktr-44 bundleSafely reclaim disk space on a Mac — the trustworthy, transparent, reversible alternative to CleanMyMac and similar tools. Use whenever the user says their Mac disk or storage is full or nearly full, gets a "startup disk almost full" / low-storage warning, asks to free up space, clean/clear caches, remove junk, delete leftover files from apps they uninstalled, or find what's eating their disk — in any language (e.g. English "my mac is out of space", "free up disk", "clear caches", "what's taking up my storage"; Georgian "ქეში გაასუფთავე", "მეხსიერება გადამევსო", "ადგილი აღარ მაქვს"). Surveys usage first, auto-clears only pure caches, moves anything riskier to the Trash (restorable), asks before anything expensive, logs every deletion, and reports what was freed. Do NOT use for cloud storage, RAM/memory-pressure, or a single named app's own in-app cache button.
- ▌ Linkedin Profile Optimizer · metinduraktr-44Optimize a LinkedIn profile for searchability, recruiter visibility, and engagement. Use when the user mentions LinkedIn profile, headline, About section, recruiter visibility, or social hiring.
- ▌ Claude Code Sessions · metinduraktr-44Search, analyze, and manage Claude Code session history. Use when the user wants to find past sessions, check token usage, review tool breakdowns, resume previous work, or manage tasks across sessions. Provides 11 skills and a web dashboard.
- ▌ Portfolio Case Study Writer · metinduraktr-44Transform resume bullets into detailed portfolio case studies with context, action, and outcome. Use when the user mentions portfolio, case study, project write-up, or expanding a resume bullet into a longer narrative.
- ▌ Premium Web Design · metinduraktr-44Create premium, Awwwards-quality website designs as React (.jsx) components that look like they were built by a top-tier agency charging $50k+ per project. Use this skill whenever the user asks for a website, landing page, portfolio, or web component that should look expensive, premium, luxury, editorial, high-end, or agency-quality. Also trigger when the user mentions Awwwards, FWA, award-winning design, or references brands like Apple, Aesop, Bottega Veneta, Stripe, or any luxury/fashion/design-forward brand. Trigger when the user says things like "make it look professional", "make it look expensive", "I want it to look really good", "high quality design", "not generic", or expresses dissatisfaction with typical AI-generated website aesthetics. Do NOT trigger for dashboards, admin panels, internal tools, or functional UI where aesthetics are secondary to utility — the standard frontend-design skill handles those.
- ▌ Observability Engineer · metinduraktr-44Build production-ready monitoring, logging, and tracing systems. Implements comprehensive observability strategies, SLI/SLO management, and incident response workflows.
- ▌ Performance Optimizer · metinduraktr-44 bundleIdentifies and fixes performance bottlenecks in code, databases, and APIs. Measures before and after to prove improvements.
- ▌ Google Cloud Waf Security · metinduraktr-44Generates security-focused guidance for Google Cloud workloads based on the Google Cloud Well-Architected Framework (WAF). Use to evaluate a workload, identify security requirements, and provide actionable recommendations for IAM, network security, data protection, and operational security.
- ▌ Drizzle Orm Expert · metinduraktr-44Expert in Drizzle ORM for TypeScript — schema design, relational queries, migrations, and serverless database integration. Use when building type-safe database layers with Drizzle.
- ▌ Brightdata Local Search · metinduraktr-44Set up and run local web searches using Bright Data SERP API with the unfancy-search pipeline (query expansion, SERP retrieval, RRF reranking).
- ▌ Google Cloud Onboarding · metinduraktr-44 bundleGuides developers through their first steps on Google Cloud, covering account creation, billing setup, project management, CLI installation, and deploying a first resource.
- ▌ Python Testing Patterns · metinduraktr-44 bundleImplement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.
- ▌ PDF Fill Studio · metinduraktr-44Fill any PDF locally and place each value precisely in a visual editor. Use when the user wants to fill out a PDF form, enter data into a PDF, complete a tax/insurance/bank form, or position text on a flat/scanned PDF. Handles flat (field-less) PDFs, per-character (comb) fields, and native AcroForm fields; leaves the signature blank for the user to sign.
- ▌ Forecast Accuracy Review · metinduraktr-44Evaluate demand-forecast quality honestly - WMAPE, bias and Forecast Value Added against a naive benchmark over a rolling-origin backtest. Use when the user mentions forecast accuracy, MAPE, demand planning performance, tahmin doğruluğu, talep tahmini, or asks whether a forecasting process or tool is worth it. Differentiator - judges the process (value added vs doing nothing), not just the model.
- ▌ Bright Data Best Practices · metinduraktr-44 bundleBuild production-ready Bright Data integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web scraping, search, browser automation, and structured data extraction. Covers Web Unlocker API, SERP API, Web Scraper API, and Browser API (Scraping Browser).
- ▌ Progressive Web App · metinduraktr-44Build Progressive Web Apps (PWAs) with offline support, installability, and caching strategies. Trigger whenever the user mentions PWA, service workers, web app manifests, Workbox, 'add to home screen', or wants their web app to work offline, feel native, or be installable.
- ▌ Deep Research Notebooklm · metinduraktr-44 bundleDeep research skill powered by NotebookLM MCP. Conducts structured multi-source research (market analysis, competitive intel, trend analysis, prospect research) using Google NotebookLM as the research engine, then delivers formatted briefs and optional studio artifacts (slides, audio podcasts, videos, infographics, reports, mind maps).
- ▌ Kotlin Coroutines Expert · metinduraktr-44Expert patterns for Kotlin Coroutines and Flow, covering structured concurrency, error handling, and testing.
- ▌ Swift Concurrency Expert · metinduraktr-44 bundleReview and fix Swift concurrency issues such as actor isolation and Sendable violations.
- ▌ Gemini API Agent Platform · metinduraktr-44 bundleGuides the usage of the Gemini API on Agent Platform with the Google Gen AI SDK for enterprise AI applications. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like Live API, tools, multimedia generation, caching, and batch prediction.
- ▌ Tanstack Query Expert · metinduraktr-44Expert in TanStack Query (React Query) — asynchronous state management. Covers data fetching, stale time configuration, mutations, optimistic updates, and Next.js App Router (SSR) integration.
- ▌ Zod Validation Expert · metinduraktr-44Expert in Zod — TypeScript-first schema validation. Covers parsing, custom errors, refinements, type inference, and integration with React Hook Form, Next.js, and tRPC.
- ▌ Dependabot Review · metinduraktr-44Review and manage Dependabot PRs. Categorizes by risk, checks CI status, auto-merges safe updates, and reports issues. Use when the user says "review dependabot", "merge dependabot", "dependabot PRs", or "update dependencies".
- ▌ Linear Automation · metinduraktr-44Automate Linear tasks via Rube MCP (Composio): issues, projects, cycles, teams, labels. Always search tools first for current schemas.
- ▌ React State Management · metinduraktr-44Master modern React state management with Redux Toolkit, Zustand, Jotai, and React Query. Use when setting up global state, managing server state, or choosing between state management solutions.
- ▌ Google Cloud Waf Reliability · metinduraktr-44Generates reliability-focused guidance for Google Cloud workloads based on the Google Cloud Well-Architected Framework. Use to evaluate a workload, identify reliability requirements, and provide actionable recommendations for building resilient, highly available systems.
- ▌ Product Decision Agent · metinduraktr-44 bundle中文产品决策 Agent。用于中国大陆互联网产品、运营、增长、商业化、数据、项目推进和组织协作场景:产品规划、需求分析、PRD、需求优先级、排期、版本规划、Roadmap、MVP、灰度、上线、迭代、增长停滞、拉新、投放、渠道、裂变、CAC、LTV、ROI、留存、转化、DAU/MAU、GMV、漏斗、社区运营、内容供给、创作者、用户运营、活动运营、私域、会员、定价、指标异常、数据口径、埋点、A/B Test、用户反馈、客服/销售反馈、竞品冲击、资源不足、项目延期、需求反复、老板临时插需求、跨部门协作、团队冲突、OKR/KPI、目标拆解、复盘等。触发时像资深互联网产品负责人一样,先判断真实问题、当前阶段、核心阻塞、关键约束、相关方和证据充分性,再给出最值得执行的下一步。默认中文回答,不讲理论、不引用原文、不解释历史、不暴露后台方法来源。
- ▌ Chrome Extension Developer · metinduraktr-44Expert in building Chrome Extensions using Manifest V3. Covers background scripts, service workers, content scripts, and cross-context communication.
- ▌ React Component Performance · metinduraktr-44 bundleDiagnose slow React components and suggest targeted performance fixes.
- ▌ Sosyal Icerik · metinduraktr-44Instagram/LinkedIn/X için platform-özel içerik formatlama (TR pazarı). Kullanıcı "Instagram post", "carousel", "reel", "LinkedIn yazısı", "X flood", "sosyal medya içeriği" dediğinde veya bir metin platforma uyarlanacağında aktifleş. Örnek; "bu duyuruyu 3 platforma uyarla" → 3 format-doğru varyant, her biri kendi limit ve hook kuralıyla.
- ▌ Fiyat Izleme · metinduraktr-44Rakip e-ticaret ürün sayfalarından fiyat/stok/kampanya verisi toplar, önceki çekimle karşılaştırır, eşik aşımlarında uyarı üretir. Use when kullanıcı "fiyat izle", "rakip fiyatı", "fiyat değişti mi", "stok takibi" dediğinde; izleme listesine ürün eklerken; veya haftalik-izleme-loop koştuğunda PROAKTİF aktifleş.
- ▌ Google Cloud Waf Cost Optimization · metinduraktr-44Generates cost optimization guidance for Google Cloud workloads based on the Google Cloud Well-Architected Framework (WAF). Use to evaluate a workload, identify cost requirements and constraints, and provide actionable recommendations for building cost-efficient workloads on Google Cloud.
- ▌ Etkinlik Tarama · metinduraktr-44Kültür-etkinlik sahnesini haftalık tarar: kıyas kurum programları, biletleme platformları, kültür-sanat basını; sinyal çıkarır, kıyas tablosu kurar. Kullan: 'haftalık tarama', 'etkinlik taraması', 'kıyas kurumlar ne duyurdu', 'bilet fiyatlarını karşılaştır' dendiğinde veya haftalik-tarama-loop tetiklendiğinde. Örnek: 'Bu haftanın taramasını yap' → kaynak listesini gez, 5+ sinyal çıkar, kıyas tablosunu doldur.
- ▌ Google Cloud Networking Observability · metinduraktr-44 bundleInvestigates Google Cloud networking issues by analyzing logs, metrics, and diagnostics. Use when investigating VPC Flow Logs, NAT, firewall, or threat logs, querying latency and throughput metrics, or running Connectivity Tests for path diagnostics.
- ▌ Marka Metin Yazimi · metinduraktr-44Marka sesine sadık pazarlama metni yazımı ve ton rehberi yönetimi. "Marka sesi", "ton", "başlık yaz", "CTA", "ürün açıklaması", "kampanya metni" geçtiğinde veya marka-icerik-ajani post üretirken aktifleş; TON_REHBERI.md yoksa buradaki şablonu doldurt. Örnek; "yeni koleksiyon için 3 başlık" → ton rehberine bağlı 3 seçenek + 1'er satır gerekçe.
- ▌ Kampanya Analizi · metinduraktr-44Rakip e-ticaret kampanyalarını (indirim, kupon, sepet eşiği, kargo, paket) çözümler ve cevap stratejisi kurar. Use when kullanıcı "rakip kampanya", "indirim yaptı", "kupon dağıtıyor", "kampanyaya nasıl cevap verelim" dediğinde veya fiyat-izleme skill'i yeni kampanya sinyali ürettiğinde PROAKTİF aktifleş.
- ▌ Tahmin Kalite Olcumu · metinduraktr-44Bir tahmin çıktısının (maç/piyasa/olay tahmini, olasılık içeren analiz) kalitesini puanlamak, iki prompt versiyonunun çıktılarını karşılaştırmak veya 'bu tahmin ne kadar güvenilir / hangi versiyon daha iyi' sorusu geldiğinde kullan. Tetikleyiciler: 'tahmini puanla', 'kalite ölç', 'rubrik', 'kalibrasyon', 'vN mi vN+1 mi daha iyi'. Örnek: kullanıcı 'v3 ve v4 çıktılarını aynı maç için karşılaştır' derse bu skill iki çıktıyı da 4 eksende puanlar ve GEÇTİ/KALDI verir.
- ▌ Cobrapy · metinduraktr-44 bundleConstraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis.
- ▌ Datamol · metinduraktr-44 bundlePythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery: SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.
- ▌ Denario · metinduraktr-44 bundleMultiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
- ▌ Lamindb · metinduraktr-44 bundleThis skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
- ▌ Matchms · metinduraktr-44 bundleMass spectrometry analysis. Process mzML/MGF/MSP, spectral similarity (cosine, modified cosine), metadata harmonization, compound ID, for metabolomics and MS data processing.
- ▌ Medchem · metinduraktr-44 bundleMedicinal chemistry filters. Apply drug-likeness rules (Lipinski, Veber), PAINS filters, structural alerts, complexity metrics, for compound prioritization and library filtering.
- ▌ Molfeat · metinduraktr-44 bundleMolecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
- ▌ Pydicom · metinduraktr-44 bundlePython library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
- ▌ Seaborn · metinduraktr-44 bundleStatistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figures.
- ▌ Code Review · metinduraktr-44Perform code reviews following Sentry engineering practices. Use when reviewing pull requests, examining code changes, or providing feedback on code quality. Covers security, performance, testing, and design review.
- ▌ Cf Crawl · metinduraktr-44Crawl entire websites using Cloudflare Browser Rendering /crawl API. Initiates async crawl jobs, polls for completion, and saves results as markdown files. Useful for ingesting documentation sites, knowledge bases, or any web content into your project context. Requires CLOUDFLARE_ACCOUNT_ID and CLOUDFLARE_API_TOKEN environment variables.
- ▌ Planning · metinduraktr-44Create and manage persistent markdown planning files for structured task execution. Use when the user asks to "create a plan", "track progress", "start a research project", or when a task requires more than 5 tool calls and needs structured phase tracking to stay focused and avoid goal drift.
- ▌ Gepetto · metinduraktr-44 bundleCreates detailed, sectionized implementation plans through research, stakeholder interviews, and multi-LLM review. Use when planning features that need thorough pre-implementation analysis.
- ▌ LLM Ops · metinduraktr-44LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA para producao.
- ▌ Postgresql · metinduraktr-44Design a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features
- ▌ Using Neon · metinduraktr-44 bundleGuides and best practices for working with Neon Serverless Postgres. Covers getting started, local development with Neon, choosing a connection method, Neon features, authentication (@neondatabase/auth), PostgREST-style data API (@neondatabase/neon-js), Neon CLI, and Neon's Platform API/SDKs. Use for any Neon-related questions.
- ▌ Angular · metinduraktr-44 bundleModern Angular (v20+) expert with deep knowledge of Signals, Standalone Components, Zoneless applications, SSR/Hydration, and reactive patterns.
- ▌ Cpp Pro · metinduraktr-44 bundleWrite idiomatic C++ code with modern features, RAII, smart pointers, and STL algorithms. Handles templates, move semantics, and performance optimization.
- ▌ GRAPHQL · metinduraktr-44GraphQL gives clients exactly the data they need - no more, no less. One endpoint, typed schema, introspection. But the flexibility that makes it powerful also makes it dangerous. Without proper controls, clients can craft queries that bring down your server. This skill covers schema design, resolvers, DataLoader for N+1 prevention, federation for microservices, and client integration with Apollo/urql. Key insight: GraphQL is a contract. The schema is the API documentation. Design it carefully.
- ▌ PHP Pro · metinduraktr-44Write idiomatic PHP code with generators, iterators, SPL data structures, and modern OOP features. Use PROACTIVELY for high-performance PHP applications.
- ▌ Pocketbase Hooks · metinduraktr-44Server-side JavaScript hooks for PocketBase (pb_hooks). Use when writing custom routes, event hooks, cron jobs, sending emails, making HTTP requests, querying the database, or extending PocketBase with server-side logic. Covers the goja ES5 runtime, routing, middleware, all event hooks, DB queries, record operations, and global APIs.
- ▌ Kaizen · metinduraktr-44Guide for continuous improvement, error proofing, and standardization. Use this skill when the user wants to improve code quality, refactor, or discuss process improvements.
- ▌ Linear · metinduraktr-44Manage issues, projects & team workflows in Linear. Use when the user wants to read, create or updates tickets in Linear.
- ▌ Nowait Reasoning Optimizer · metinduraktr-44 bundleImplements the NOWAIT technique for efficient reasoning in R1-style LLMs. Use when optimizing inference of reasoning models (QwQ, DeepSeek-R1, Phi4-Reasoning, Qwen3, Kimi-VL, QvQ), reducing chain-of-thought token usage by 27-51% while preserving accuracy. Triggers on "optimize reasoning", "reduce thinking tokens", "efficient inference", "suppress reflection tokens", or when working with verbose CoT outputs.
- ▌ Railway Environment · metinduraktr-44Query, stage, and apply configuration changes for Railway environments. Use for ANY variable or env var operations, service configuration (source, build settings, deploy settings), lifecycle (delete service), and applying changes. Prefer over railway-status skill for any configuration or variable queries.
- ▌ Arboreto · metinduraktr-44 bundleInfer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.
- ▌ Deepchem · metinduraktr-44 bundleMolecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.
- ▌ Diffdock · metinduraktr-44 bundleDiffusion-based molecular docking. Predict protein-ligand binding poses from PDB/SMILES, confidence scores, virtual screening, for structure-based drug design. Not for affinity prediction.
- ▌ Fluidsim · metinduraktr-44 bundleFramework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.
- ▌ Histolab · metinduraktr-44 bundleDigital pathology image processing toolkit for whole slide images (WSI). Use this skill when working with histopathology slides, processing H&E or IHC stained tissue images, extracting tiles from gigapixel pathology images, detecting tissue regions, segmenting tissue masks, or preparing datasets for computational pathology deep learning pipelines. Applies to WSI formats (SVS, TIFF, NDPI), tile-based analysis, and histological image preprocessing workflows.
- ▌ Networkx · metinduraktr-44 bundleComprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.
- ▌ Pydeseq2 · metinduraktr-44 bundleDifferential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.
- ▌ Pyhealth · metinduraktr-44 bundleComprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).
- ▌ Sympy · metinduraktr-44 bundleUse this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rather than numerical approximations, or when working with mathematical formulas that contain variables and parameters.
- ▌ Create Pr · metinduraktr-44Create pull requests following Sentry conventions. Use when opening PRs, writing PR descriptions, or preparing changes for review. Follows Sentry's code review guidelines.
- ▌ Find Bugs · metinduraktr-44Find bugs, security vulnerabilities, and code quality issues in local branch changes. Use when asked to review changes, find bugs, security review, or audit code on the current branch.
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- ▌ Codex · metinduraktr-44 bundleUse when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.
- ▌ Pocketbase Sdk · metinduraktr-44JavaScript SDK usage for PocketBase client applications. Use when calling PocketBase from frontend or Node.js, authenticating users, subscribing to realtime events, uploading files, or working with the PocketBase JS/TS SDK. Covers CRUD, auth flows, authStore, realtime SSE, file handling, batch operations, and query syntax.
- ▌ Railway Templates · metinduraktr-44Search and deploy services from Railway's template marketplace. Use when user wants to add a service from a template, find templates for a specific use case, or deploy tools like Ghost, Strapi, n8n, Minio, Uptime Kuma, etc. For databases (Postgres, Redis, MySQL, MongoDB), prefer the railway-database skill.
- ▌ Biomni · metinduraktr-44 bundleAutonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis. Use this skill when conducting multi-step biomedical research including CRISPR screening design, single-cell RNA-seq analysis, ADMET prediction, GWAS interpretation, rare disease diagnosis, or lab protocol optimization. Leverages LLM reasoning with code execution and integrated biomedical databases.
- ▌ Flowio · metinduraktr-44 bundleParse FCS (Flow Cytometry Standard) files v2.0-3.1. Extract events as NumPy arrays, read metadata/channels, convert to CSV/DataFrame, for flow cytometry data preprocessing.
- ▌ Geniml · metinduraktr-44 bundleThis skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
- ▌ Pathml · metinduraktr-44 bundleComputational pathology toolkit for analyzing whole-slide images (WSI) and multiparametric imaging data. Use this skill when working with histopathology slides, H&E stained images, multiplex immunofluorescence (CODEX, Vectra), spatial proteomics, nucleus detection/segmentation, tissue graph construction, or training ML models on pathology data. Supports 160+ slide formats including Aperio SVS, NDPI, DICOM, OME-TIFF for digital pathology workflows.
- ▌ Plotly · metinduraktr-44 bundleInteractive scientific and statistical data visualization library for Python. Use when creating charts, plots, or visualizations including scatter plots, line charts, bar charts, heatmaps, 3D plots, geographic maps, statistical distributions, financial charts, and dashboards. Supports both quick visualizations (Plotly Express) and fine-grained customization (graph objects). Outputs interactive HTML or static images (PNG, PDF, SVG).
- ▌ Polars · metinduraktr-44 bundleFast DataFrame library (Apache Arrow). Select, filter, group_by, joins, lazy evaluation, CSV/Parquet I/O, expression API, for high-performance data analysis workflows.
- ▌ Qiskit · metinduraktr-44 bundleComprehensive quantum computing toolkit for building, optimizing, and executing quantum circuits. Use when working with quantum algorithms, simulations, or quantum hardware including (1) Building quantum circuits with gates and measurements, (2) Running quantum algorithms (VQE, QAOA, Grover), (3) Transpiling/optimizing circuits for hardware, (4) Executing on IBM Quantum or other providers, (5) Quantum chemistry and materials science, (6) Quantum machine learning, (7) Visualizing circuits and results, or (8) Any quantum computing development task.
- ▌ Scanpy · metinduraktr-44 bundleSingle-cell RNA-seq analysis. Load .h5ad/10X data, QC, normalization, PCA/UMAP/t-SNE, Leiden clustering, marker genes, cell type annotation, trajectory, for scRNA-seq analysis.
- ▌ Iterate Pr · metinduraktr-44Iterate on a PR until CI passes. Use when you need to fix CI failures, address review feedback, or continuously push fixes until all checks are green. Automates the feedback-fix-push-wait cycle.
- ▌ Crewai · metinduraktr-44Expert in CrewAI - the leading role-based multi-agent framework used by 60% of Fortune 500 companies. Covers agent design with roles and goals, task definition, crew orchestration, process types (sequential, hierarchical, parallel), memory systems, and flows for complex workflows. Essential for building collaborative AI agent teams. Use when: crewai, multi-agent team, agent roles, crew of agents, role-based agents.
- ▌ Gemini · metinduraktr-44 bundleUse when the user asks to run Gemini CLI for code review, plan review, or big context (>200k) processing. Ideal for comprehensive analysis requiring large context windows. Uses Gemini 3 Pro by default for state-of-the-art reasoning and coding.
- ▌ Convex · metinduraktr-44Convex reactive backend expert: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.
- ▌ Devil · metinduraktr-44 bundleReviews a product document (PRD, spec, design brief) BEFORE implementation to surface holes — undefined edge cases, missing states, policy gaps — by attacking what the document is SILENT about (things unwritten, and things written only for the happy path). Acts as a strict "sign-off manager," ruling Approve / Conditional / Reject and producing a polite, forwardable question list. Works for planners/PMs (self-review before sharing), engineers (blocking questions before coding), and designers (screen states with no mockup). Use whenever the user wants a spec/PRD/plan/brief checked for readiness or gaps, or says "review this spec", "find holes in this PRD", "poke holes in this", "is this plan good to build?", "can I start implementing this?", "what states/edge cases am I missing?", "what should I ask the PM before coding?", "run devil", or pastes/links a planning document and asks whether it's ready to act on. Do NOT use it to: write or draft a new spec, summarize or translate a document, estimate/break down tic
- ▌ Railway Deployment · metinduraktr-44Manage Railway deployments - view logs, redeploy, restart, or remove deployments. Use for deployment lifecycle (remove, stop, redeploy, restart), deployment visibility (list, status, history), and troubleshooting (logs, errors, failures, crashes). NOT for deleting services - use railway-environment skill with isDeleted for that.
- ▌ Adaptyv · metinduraktr-44 bundleCloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
- ▌ Anndata · metinduraktr-44 bundleThis skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.
- ▌ Astropy · metinduraktr-44 bundleComprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.
- ▌ Sora · metinduraktr-44 bundleUse when the user asks to generate, remix, poll, list, download, or delete Sora videos via OpenAI’s video API using the bundled CLI (`scripts/sora.py`), including requests like “generate AI video,” “Sora,” “video remix,” “download video/thumbnail/spritesheet,” and batch video generation; requires `OPENAI_API_KEY` and Sora API access.