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Reviewed skills for Claude, Codex, Gemini, Cursor and OpenCode. Read every file before you install.
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Check reference SDK implementations using btca ask
Data structure selection, pub/sub patterns, Lua scripting, pipelining, and cluster topology strategies.
Search past reasoning for relevant decisions and approaches
Chunking strategies, embedding model selection, hybrid search, reranking, eval metrics
Code quality checks, formatting, and metrics via qlty CLI
Pyxel retro game engine patterns - pixel art, game loops, sprite/tilemap, MML audio, resource management, and web deployment
Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.
Property-based testing (PBT) patterns with fast-check (JS/TS), Hypothesis (Python), and gopter (Go). Generate random inputs, define invariants, shrink failures to minimal cases. Adapted from Trail of Bits. Use when testing pure functions, parsers, serializers, state machines, or any code where example-based tests miss edge cases.
PromQL queries, alerting rules, recording rules, Grafana dashboard JSON, SLO
Example template for project-specific skill files covering architecture, patterns, testing, and deployment.
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
Structured plan file generation for large tasks -- phased planning, completion tracking, and decision documentation
Planning agent that creates implementation plans and handoffs from conversation context
Unit-aware computation with Pint - convert units, dimensional analysis, unit arithmetic
Phase-gated commit workflow for clean git history -- implement, review, test, commit per phase
Persistent planning system with 3 markdown files (PLAN.md, PROGRESS.md, CONTEXT.md). Use when starting large features, multi-session work, or complex refactoring. Auto-tracks commits in PROGRESS.md.
Load testing with k6/Artillery, response time thresholds, memory leak detection, N+1 query detection, and CI integration.
Ethical security testing methodology - 5-phase pipeline, OWASP checklist, proof levels, structured findings
Mobil uygulama paywall strateji rehberi. 14 kategori benchmark database, 4 paywall modeli, trial optimizasyonu, placement mapping, pricing psychology, regional pricing (PPP) ve Apple/Google compliance checklist.
AI-powered paywall optimizasyon. Sektore gore otomatik analiz, A/B test senaryolari, churn prediction sinyalleri, push notification stratejileri, agresif satis teknikleri ve RevenueCat Experiments entegrasyonu. paywall-strategy, revenuecat-patterns ve subscription-pricing skill'lerinin ustune insa eder.
OIDC flows, PKCE implementation, token refresh strategies, social login integration, and secure session management.
Use this skill when context compression is imminent, when resuming a session, or when preserving critical decisions across long tasks. Provides a durable notepad that survives compaction and lets any agent pick up exactly where the previous context left off.
Search library documentation and code examples via Nia
n8n otomasyon workflow'lari. Webhook, cron trigger, API entegrasyon, CI/CD otomasyon.
Mutation testing ile test suite kalitesini olc. Stryker, mutmut, go-mutesting destegi.
Fast codebase search via WarpGrep (20x faster than grep)
Fast file editing via Morph Apply API (10,500 tokens/sec, 98% accuracy)
Document modeling, aggregation pipeline, indexing strategy, change streams, and multi-document transactions.
MCP server registry, auto-discovery, configuration, custom server development guide
Research-to-implement pipeline chaining 5 MCP tools with graceful degradation
Problem-solving strategies for open sets in topology
Problem-solving strategies for connectedness in topology
Problem-solving strategies for compactness in topology
Problem-solving with Rudin's Real and Complex Analysis textbook
Problem-solving strategies for limits in real analysis
Problem-solving strategies for convergence in real analysis
Problem-solving strategies for continuity in real analysis
Problem-solving strategies for gradient methods in optimization
Problem-solving strategies for convex optimization in optimization
Problem-solving strategies for constrained optimization in optimization
Problem-solving strategies for second order odes in odes pdes
Problem-solving strategies for first order odes in odes pdes
Problem-solving strategies for boundary value problems in odes pdes
Problem-solving strategies for root finding in numerical methods
Problem-solving strategies for interpolation in numerical methods
Problem-solving strategies for sigma algebras in measure theory
Problem-solving strategies for lebesgue measure in measure theory
Problem-solving strategies for integration theory in measure theory
Problem-solving strategies for propositional logic in mathematical logic
Opinionated Bayesian modeling workflow with PyMC and ArviZ. Contains critical guardrails (nutpie sampler, prior/posterior predictive checks, LOO-PIT calibration, prior sensitivity checks, 94% HDI, non-centered parameterizations, reproducible seeds) that agents won't apply unprompted — always consult before writing Bayesian model code. Trigger on: building probabilistic/Bayesian models, prior elicitation, MCMC inference, convergence diagnostics (divergences, R-hat, ESS), model comparison (LOO-CV, ELPD, stacking weights), hierarchical/multilevel models, count regressions, logistic regression with uncertainty, prior sensitivity analysis, reporting Bayesian results, or mentions of PyMC, ArviZ, InferenceData, credible intervals, posterior distributions, shrinkage, uncertainty quantification. Also trigger for model comparison, diagnosing sampling problems, choosing priors, or presenting stats to non-technical audiences.
Audit code and dependencies for security vulnerabilities. Use when reviewing PRs, checking dependencies, preparing for deployment, or when user mentions security, vulnerabilities, or audit.
OPS on-demand: This skill should be used when the user asks to "release the plugin", "publish ops…
Process PDF files - extract text, create PDFs, merge documents. Use when user asks to read PDF, create PDF, or work with PDF files.
Build MCP (Model Context Protocol) servers that give Claude new capabilities. Use when user wants to create an MCP server, add tools to Claude, or integrate external services.
Perform thorough code reviews with security, performance, and maintainability analysis. Use when user asks to review code, check for bugs, or audit a codebase.
Audit and rewrite content to remove AI writing patterns ("AI-isms"). Use this skill when asked to "remove AI-isms," "clean up AI writing," "edit writing for AI patterns," "audit writing for AI tells," or "make this sound less like AI." Supports a detection-only mode that flags patterns without rewriting.
Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), for research papers and journal submissions.
Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs with verified citations in multiple citation styles (APA, Nature, Vancouver, etc.).
Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.