symmetric-dogfooding
Bidirectional integration validation where two repositories validate each other before release. TRIGGERS - symmetric dogfooding, bidirectional testing, cross-repo validation, reciprocal testing, polyrepo integration.
adaptive-wfo-epoch
Adaptive epoch selection for Walk-Forward Optimization. TRIGGERS - WFO epoch, epoch selection, WFE optimization, overfitting epochs.
backtesting-py-oracle
backtesting.py configuration for SQL oracle validation and range bar pattern backtesting. Use when running backtesting.py against ClickHouse SQL results, configuring Backtest() constructor, handling overlapping trades, multi-position mode, rolling quantile NaN handling, trade sorting, or oracle gate validation. TRIGGERS - backtesting.py, Backtest(), hedging, exclusive_orders, multi-position, overlapping trades, oracle validation, SQL vs Python, trade comparison, entry price mismatch, signal count mismatch, rolling quantile NaN, ExitTime sort, stats._trades, gen600_strategy, champion_strategy, gen300_strategy, barrier setup.
evolutionary-metric-ranking
Multi-objective evolutionary optimization for per-metric percentile cutoffs and intersection-based config selection. TRIGGERS - ranking optimization, cutoff search, metric intersection, Optuna cutoffs, evolutionary search, percentile ranking, multi-objective ranking, config selection, survivor analysis, binding metrics, Pareto frontier cutoffs.
ignore
Manage global ignore patterns for lint-relative-paths. TRIGGERS - statusline ignore, add ignore pattern, lint ignore, path lint exclude.
session-info
Get current Claude Code session UUID and registry info. TRIGGERS - current session, session uuid, session id, what session, which session.
settings-and-tuning
Configure TTS voices, speed, timeouts, queue depth, and bot settings. TRIGGERS - configure tts, change voice, tts speed, queue depth, tts timeout, bot config, tune settings, adjust parameters.
voice-quality-audition
Audition Kokoro TTS voices to compare quality and grade. TRIGGERS - audition voices, kokoro voices, voice comparison, tts voice, voice quality, compare voices.
agent-reach
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nblm
Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.
nonlinear-solvers
Select and configure nonlinear solvers for f(x)=0 or min F(x). Use for Newton methods, quasi-Newton (BFGS, L-BFGS), Broyden, Anderson acceleration, diagnosing convergence issues, choosing line search vs trust region, and analyzing Jacobian quality.
convergence-study
Spatial and temporal convergence analysis with Richardson extrapolation and Grid Convergence Index (GCI) for solution verification
differentiation-schemes
Select and apply numerical differentiation schemes for PDE/ODE discretization. Use when choosing finite difference/volume/spectral schemes, building stencils, handling boundaries, estimating truncation error, or analyzing dispersion and dissipation.
linear-solvers
Select and configure linear solvers for systems Ax=b in dense and sparse problems. Use when choosing direct vs iterative methods, diagnosing convergence issues, estimating conditioning, selecting preconditioners, or debugging stagnation in GMRES/CG/BiCGSTAB.
mesh-generation
Plan and evaluate mesh generation for numerical simulations. Use when choosing grid resolution, checking aspect ratios/skewness, estimating mesh quality constraints, or planning adaptive mesh refinement for PDE discretization.
numerical-integration
Select and configure time integration methods for ODE/PDE simulations. Use when choosing explicit/implicit schemes, setting error tolerances, adapting time steps, diagnosing integration accuracy, planning IMEX splitting, or handling stiff/non-stiff coupled systems.
numerical-stability
Analyze and enforce numerical stability for time-dependent PDE simulations. Use when selecting time steps, choosing explicit/implicit schemes, diagnosing numerical blow-up, checking CFL/Fourier criteria, von Neumann analysis, matrix conditioning, or detecting stiffness in advection/diffusion/reaction problems.
time-stepping
Plan and control time-step policies for simulations. Use when coupling CFL/physics limits with adaptive stepping, ramping initial transients, scheduling outputs/checkpoints, or planning restart strategies for long runs.
slurm-job-script-generator
Generate SLURM `sbatch` job scripts and sanity-check HPC resource requests (nodes, tasks, CPUs, memory, GPUs) for simulation runs. Use when preparing submission scripts, deciding MPI vs MPI+OpenMP layouts, standardizing `#SBATCH` directives, or debugging job launch configuration (`sbatch`/`srun`).
ontology-explorer
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ontology-mapper
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ontology-validator
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parameter-optimization
Explore and optimize simulation parameters via design of experiments (DOE), sensitivity analysis, and optimizer selection. Use for calibration, uncertainty studies, parameter sweeps, LHS sampling, Sobol analysis, surrogate modeling, or Bayesian optimization setup.
performance-profiling
Identify computational bottlenecks, analyze scaling behavior, estimate memory requirements, and receive optimization recommendations for any computational simulation. Use when simulations are slow, investigating parallel efficiency, planning resource allocation, or seeking performance improvements through timing analysis, scaling studies, memory profiling, or bottleneck detection.
post-processing
Extract, analyze, and visualize simulation output data. Use for field extraction, time series analysis, line profiles, statistical summaries, derived quantity computation, result comparison to references, and automated report generation from simulation results.
simulation-orchestrator
Orchestrate multi-simulation campaigns including parameter sweeps, batch jobs, and result aggregation. Use for running parameter studies, managing simulation batches, tracking job status, combining results from multiple runs, or automating simulation workflows.
simulation-validator
Validate simulations before, during, and after execution. Use for pre-flight checks, runtime monitoring, post-run validation, diagnosing failed simulations, checking convergence, detecting NaN/Inf, or verifying mass/energy conservation.
mastering-langgraph
Build stateful AI agents and agentic workflows with LangGraph in Python. Covers tool-using agents with LLM-tool loops, branching workflows, conversation memory, human-in-the-loop oversight, and production monitoring. Use when - (1) building agents that use tools and loop until task complete, (2) creating multi-step workflows with conditional branches, (3) adding persistence/memory across turns with checkpointers, (4) implementing human approval with interrupt(), (5) debugging via time-travel or LangSmith. Covers StateGraph, nodes, edges, add_conditional_edges, MessagesState, thread_id, Command objects, and ToolMessage handling. Examples include chatbots, calculator agents, and structured workflows.
api-documentation
Document REST APIs with OpenAPI/Swagger specifications, endpoint documentation, authentication, error handling, and SDK guides. Use for API reference docs, Swagger specs, and client library documentation. Triggers: api docs, openapi, swagger, endpoint documentation, rest api, api reference, sdk documentation, api specification, document api, api endpoints, request response examples, schema documentation, openapi 3.1, redoc, stoplight, postman collection, api explorer, interactive docs, api contract, api schema, swagger ui, authentication flows, rate limits.
prompt-engineering
Designs and optimizes prompts for large language models including system prompts, agent signals, and few-shot examples. Covers instruction design, prompt security, chain-of-thought reasoning, and in-context learning for orchestrated AI agents. Trigger keywords: prompt, LLM, GPT, Claude, AI, system prompt, user prompt, few-shot, chain of thought, CoT, in-context learning, prompt template, prompt injection, jailbreak prevention, agent signal, agent instruction, agent orchestration, reasoning, instruction tuning.
api-design
Designs RESTful APIs, GraphQL schemas, and RPC interfaces following best practices for consistency, usability, and scalability. Trigger keywords: api design, REST, RESTful, REST API, GraphQL, GraphQL schema, gRPC, OpenAPI, Swagger, endpoint, route, resource, CRUD, HTTP method, GET, POST, PUT, PATCH, DELETE, status code, pagination, filtering, sorting, versioning, HATEOAS, API versioning, schema design, RPC, service design.
threat-model
Threat modeling methodologies (STRIDE, DREAD, PASTA, attack trees) for secure architecture design. Use when planning new systems, reviewing architecture security, identifying threats, or assessing risk. Triggers: threat modeling, threat model, STRIDE, DREAD, attack tree, attack surface, trust boundary, data flow diagram, DFD, threat analysis, risk assessment, adversary, threat actor, threat vector, mitigation, security architecture, attack scenario, vulnerability assessment, security posture, defense in depth.
code-migration
Strategies and patterns for safe code migrations and upgrades. Use when upgrading frameworks, migrating between technologies, handling deprecations, or planning incremental migrations. Triggers: migration, migrate, upgrade, version upgrade, breaking change, deprecation, codemod, codemods, AST transformation, jscodeshift, ts-morph, framework migration, database migration, schema migration, legacy code, modernize, modernization, refactoring, feature flags, rollback, strangler fig, blue-green deployment, canary release, shadow mode, parallel run.
caching
Comprehensive caching strategies and patterns for performance optimization. Use when implementing cache layers, cache invalidation, TTL policies, or distributed caching. Covers Redis/Memcached patterns, CDN caching, database query caching, ML model caching, and eviction policies. Triggers: cache, caching, Redis, Memcached, CDN, TTL, invalidation, eviction, LRU, LFU, FIFO, write-through, write-behind, cache-aside, read-through, cache stampede, distributed cache, local cache, memoization, query cache, result cache, edge cache, browser cache, HTTP cache.
debugging
Systematically diagnoses and resolves software bugs, test failures, data quality issues, and performance problems using various debugging techniques and tools. Trigger keywords: debug, bug, error, exception, crash, issue, troubleshoot, fix, stack trace, diagnosis, diagnose, investigate, root cause, why, failing, broken, not working, unexpected, flaky, intermittent, regression, performance degradation.
feature-flags
Feature flag patterns for controlled rollouts, A/B testing, kill switches, and runtime configuration. Use when implementing feature toggles, feature flags, gradual rollouts, canary releases, percentage rollouts, dark launches, user targeting, A/B tests, experiments, circuit breakers, emergency kill switches, model switching, or infrastructure flags.
fluxcd
GitOps continuous delivery toolkit for Kubernetes with Flux CD. Use when implementing GitOps workflows, declarative deployments, Helm chart automation, Kustomize overlays, image update automation, multi-tenancy, or Git-based continuous delivery. Triggers: flux, fluxcd, gitops, kustomization, helmrelease, gitrepository, helmrepository, imagerepository, imagepolicy, image automation, source controller, continuous delivery, kubernetes deployment automation, helm automation, kustomize automation, git sync, declarative deployment.
python
Python language expertise for writing idiomatic, production-quality Python code. Covers web frameworks (FastAPI, Django, Flask), data processing (pandas, numpy, dask), ML patterns (sklearn, pytorch), async programming, type hints, testing with pytest, packaging (pip, uv, poetry), linting (ruff, mypy, black), and PEP 8 standards. Use for any Python development including data engineering and machine learning workflows. Triggers: python, py, pip, uv, poetry, virtualenv, pytest, pydantic, fastapi, django, flask, pandas, numpy, dataclass, type hints, asyncio, mypy, ruff, black, sklearn, pytorch, tensorflow, jupyter, pipenv, conda.
rate-limiting
API rate limiting and quota management implementation. Use when implementing request throttling, API quotas, backpressure handling, or protection against abuse. Keywords: rate limiting, rate limit, throttle, throttling, token bucket, leaky bucket, sliding window, fixed window, quota, 429, too many requests, DDoS, abuse prevention, API quota, burst, Redis rate limiting, distributed rate limiting, API gateway, per-user limits, per-IP limits, concurrent requests, request limiting.
react
Modern React development patterns including components, hooks, state management, routing, forms, and UI architecture. Covers React 19+, React Router v7, Jotai atoms, server components, accessibility, performance optimization, and testing. Use for building React applications with client-side routing, global state, component composition, and async data loading. Triggers: react, jsx, tsx, component, hook, useState, useEffect, useContext, useReducer, useMemo, useCallback, useRef, props, state, render, virtual DOM, reconciliation, single page application, spa, react-router, jotai, vite, bun, Next.js, Remix, client-side routing, server components, accessibility, a11y, ARIA, performance, code splitting, lazy loading, Suspense, error boundaries, form validation, UI components, design system, composition patterns.
database-design
Designs database schemas, data models, relationships, indexes, and migrations for relational, NoSQL, time-series, and warehouse databases. Covers normalization, denormalization, ETL optimization, event sourcing, star schema, and performance tuning. Trigger keywords: schema, table, column, migration, ERD, normalize, denormalize, index, foreign key, primary key, constraint, relationship, SQL, DDL, data model, database design, data warehouse, star schema, snowflake schema, time-series, event sourcing, dimension table, fact table, ETL, data pipeline, OLAP, OLTP.
data-visualization
Creates effective data visualizations, charts, dashboards, and reports across analytics, infrastructure monitoring, and ML domains. Covers library selection, UX design, and accessibility. Trigger keywords: chart, graph, plot, dashboard, report, visualization, matplotlib, plotly, d3, seaborn, grafana, tableau, superset, metabase, KPI, metric, analytics, histogram, heatmap, time-series, scatter, bar-chart.
data-validation
Data validation patterns including schema validation, input sanitization, output encoding, and type coercion. Use when implementing validate, validation, schema, form validation, API validation, JSON Schema, Zod, Pydantic, Joi, Yup, sanitize, sanitization, XSS prevention, injection prevention, escape, encode, whitelist, constraint checking, invariant validation, data pipeline validation, ML feature validation, or custom validators.
crossplane
Cloud-native infrastructure management with Crossplane using Kubernetes APIs. Build internal platform APIs for self-service infrastructure provisioning. Use when implementing infrastructure as code, platform engineering, composite resources, XRDs, compositions, claims, provider configuration, or multi-cloud provisioning. Triggers: crossplane, XRD, composition, claim, provider, managed resource, composite resource, infrastructure API, platform engineering, platform API, infrastructure abstraction, self-service infrastructure, kubernetes infrastructure, cloud control plane.
concurrency
Comprehensive concurrency and parallelism patterns for multi-threaded and async programming. Use when implementing async/await, parallel processing, thread safety, worker pools, or debugging race conditions and deadlocks. Triggers: async, await, thread, mutex, lock, semaphore, channel, actor, parallel, concurrent, race condition, deadlock, livelock, atomic, futures, promises, tokio, asyncio, goroutine, spawn, Arc, Mutex, RwLock, mpsc, select, join, worker pool, queue, synchronization, critical section, context switch.
ci-cd
Designs and implements CI/CD pipelines for automated testing, building, deployment, and security scanning across multiple platforms. Covers pipeline optimization, test integration, artifact management, and release automation.
background-jobs
Background job processing patterns including job queues, scheduled jobs, worker pools, and retry strategies. Use when implementing async processing, job queues, workers, task queues, async tasks, delayed jobs, recurring jobs, scheduled tasks, ETL pipelines, data processing, ML training jobs, Celery, Bull, Sidekiq, Resque, cron jobs, retry logic, dead letter queues, DLQ, at-least-once delivery, exactly-once delivery, job monitoring, or worker management.
auth
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argocd
GitOps continuous delivery with Argo CD for Kubernetes deployments. Use when implementing declarative GitOps workflows, application sync/rollback, multi-cluster deployments, progressive delivery, or CD automation. Triggers: argocd, argo cd, gitops, application, sync, rollback, app of apps, applicationset, declarative, continuous delivery, CD, deployment automation, kubernetes deployment, multi-cluster, canary deployment, blue-green.
accessibility
Web accessibility patterns, WCAG compliance, and inclusive design. Use when implementing accessible UI, keyboard navigation, screen reader support, focus management, semantic HTML, or auditing for compliance. Triggers: accessibility, a11y, WCAG, ARIA, screen reader, keyboard navigation, focus, tab order, tabindex, alt text, color contrast, semantic HTML, landmark, role, aria-label, aria-labelledby, aria-describedby, aria-live, aria-expanded, aria-selected, aria-hidden, focus trap, roving tabindex, skip link, assistive technology.
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