Implement secure JWT (JSON Web Token) authentication in Node.js applications with access/refresh tokens and role-based access control

Deploy containerized web applications to any Linux server using Kamal 2. Use when users need to deploy, configure, debug, or manage Kamal deployments including initial setup, configuration of deploy.yml, deployment workflows, rollbacks, managing accessories (databases, Redis, Litestream), troubleshooting deployment issues, CI/CD integration, multi-environment setups, or understanding Kamal commands and best practices. Also use when working with Kamal Proxy, Docker-based deployments, zero-downtime deploys, or 37signals deployment tooling.

Remove a future phase from roadmap and renumber subsequent phases. Triggers include "remove phase", "remove phase".

LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.

LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.

Control LaunchDarkly feature flag targeting including toggling flags on/off, percentage rollouts, targeting rules, individual targets, and copying flag configurations between environments. Use when the user wants to change who sees a flag, roll out to a percentage, add targeting rules, or promote config between environments.

When the user wants to create, plan, or optimize a lead magnet for email capture or lead generation. Also use when the user mentions "lead magnet," "gated content," "content upgrade," "downloadable," "ebook," "cheat sheet," "checklist," "template download," "opt-in," "freebie," "PDF download," "resource library," "content offer," "email capture content," "Notion template," "spreadsheet template," or "what should I give away for emails." Use this for planning what to create and how to distribute it. For interactive tools as lead magnets, see free-tools. For writing the actual content, see copywriting. For the email sequence after capture, see emails.

Autonomous technical lead. Takes commander's intent and drives a project to completion through an OODA loop over implementation, refactoring, review, and bug-hunting skills. Has broad authority — creates tickets, commits, invokes any skill — and only escalates via andon cord for irreversible actions, public releases, or genuinely blocking decisions. User acts as product owner; skill acts as tech lead.

Senior Legal Counsel with 20+ years experience in corporate law. Use for legal advice, contract drafting, compliance checks, data protection (GDPR/CCPA), employment law, or risk assessment. Auto-triggers penalty warnings and statute citations. Adapts to the user's jurisdiction by loading the matching reference (e.g. UK / English & Welsh law, persona Alex) from references/.

Plan and manage cash flow to ensure adequate liquidity while minimizing opportunity cost of excess cash. Use when the user asks about cash flow forecasting, CD or bond laddering, liquidity tiers, income smoothing for variable earners, or sweep strategies. Also trigger when users mention 'T-bill ladder', 'where to park cash', 'irregular income budgeting', 'freelancer cash management', 'lumpy expenses', 'liquidity ratio', 'how much cash to hold', or ask how to plan for large upcoming expenses.

Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications.

Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications.

Use when comparing two or more code implementations against a spec or requirements doc. Triggers on "which repo is better", "compare these implementations", "evaluate both solutions", "rank these codebases", or "judge which approach wins". Also covers choosing between competing PRs or vendor submissions solving the same problem. Does NOT review a single codebase for quality — use code review skills instead. Does NOT evaluate strategy docs — use strategy-review. Requires a spec file and 2+ repo paths.

Audits whether test results can be trusted: flakiness, isolation, real external dependencies, time/random/order dependency, and shared state. Use when auditing test trustworthiness.

Generates seed data from ORM schemas or entity definitions to any target format. Use when populating databases for development.

This skill should be used when the user asks to "check for logging issues", "analyze security logging", "find missing audit logs", "check for log injection", "audit monitoring configuration", or mentions "logging", "audit trail", "log injection", "monitoring", or "alerting" in a security context. Maps to OWASP Top 10 2021 A09: Security Logging and Monitoring Failures.

Use when creating, updating, or verifying a local macOS WidgetKit widget, especially desktop widgets with a native black dashboard visual system, reliable local install/run workflow, app-group snapshot/cache internals, timeline reloads, and real desktop screenshot proof.

Unified macro intelligence feed — reads 7 sources, classifies events, scores sentiment, generates AI insights, exposes signals via HTTP API

State-space model with O(n) complexity vs Transformers' O(n²). 5× faster inference, million-token sequences, no KV cache. Selective SSM with hardware-aware design. Mamba-1 (d_state=16) and Mamba-2 (d_state=128, multi-head). Models 130M-2.8B on HuggingFace.

State-space model with O(n) complexity vs Transformers' O(n²). 5× faster inference, million-token sequences, no KV cache. Selective SSM with hardware-aware design. Mamba-1 (d_state=16) and Mamba-2 (d_state=128, multi-head). Models 130M-2.8B on HuggingFace.

Guides CI/CD pipeline architecture, security hardening, and deployment strategies for GitHub Actions. Use when designing workflows, securing supply chains, optimizing build performance, configuring deployments, managing infrastructure as code pipelines, or setting up pipeline observability.

Plan, scaffold, and render Manim Community Edition explainer videos for math, algorithms, technical concepts, and data stories.

Use when a Mantle DeFi task needs discovery, venue comparison, or execution-ready planning with verified contracts, preflight evidence, and an external handoff.

Manual test planning, writing, reviewing, executing, and maintaining test cases. Use when: user asks to write test cases, create a test plan, run manual tests, review test coverage, update tests after feature changes, or asks 'how should I test this'. Also trigger after implementing features that change system behavior — per CLAUDE.md, updating the manual test plan is mandatory. Covers API/backend, frontend, pipeline/workflow, AI/LLM, and infrastructure testing patterns.

Official integration patterns for Mapbox Maps SDK on iOS. Covers installation, adding markers, user location, custom data, styles, camera control, and featureset interactions. Based on official Mapbox documentation.

Performance optimization patterns for Mapbox GL JS web applications. Covers initialization waterfalls, bundle size, rendering performance, memory management, and web optimization. Prioritized by impact on user experience.

This skill should be used when the user asks to "calculate TAM", "determine SAM", "estimate SOM", "size the market", "calculate market opportunity", "what's the total addressable market", or requests market sizing analysis for a startup or business opportunity.

Market structure analysis with Wyckoff, SMC/ICT, Al Brooks, and classical price action — outputs structured trade scripts with levels, entry, stop, R:R. Use when the user wants real technical analysis on a ticker (e.g. "market structure analysis on NVDA", "Wyckoff phase for BTC", "where's the order block on SOL", "SMC analysis").

When the user needs marketing ideas, inspiration, or strategies for their SaaS or software product. Also use when the user asks for 'marketing ideas,' 'growth ideas,' 'how to market,' 'marketing strategies,' 'marketing tactics,' 'ways to promote,' or 'ideas to grow.' This skill provides 140 proven marketing approaches organized by category.

When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' or 'consumer behavior.' This skill provides 70+ mental models organized for marketing application.

Render a mindmap JSON outline into Obsidian MarkMind Rich format. Use this skill after generating a mindmap outline (via generate-mindmap or any other source) to convert it into a .md file ready for the Obsidian MarkMind plugin. TRIGGER WHEN: the user says 'markmind', 'render to markmind', or needs MarkMind Rich output from an existing mindmap JSON structure. DO NOT TRIGGER WHEN: the user wants an interactive HTML mindmap (use forcegraph-exporter) or a plain text outline.

Implement MCP server authentication with OAuth Dynamic Client Registration (RFC 7591), Authorization Server Metadata Discovery (RFC 8414), and per-agent credential support. Use when building admin UIs that let users connect to third-party MCP servers using OAuth (Linear, Sentry, Granola), bearer tokens (Render, custom APIs), or API keys. Covers metadata discovery, client registration, PKCE authorization, token exchange, token refresh, tool sync, and credential storage patterns.

This skill should be used when the user asks to "secure Notion MCP", "protect OAuth token", "MCP security best practices", "prevent token exposure", "credential management", or needs guidance on securing Notion MCP integration. Covers credential storage, validation, and security considerations.

On-chain USDC lottery on Base with daily drawings. Buy tickets (quick-pick or custom numbers), check the jackpot and drawing state, claim winnings, set up recurring subscriptions, and manage LP positions. Trigger on "megapot", "lottery ticket", "jackpot", "quick pick", or "did I win".

Knowledge graph orchestration layer with entity extraction, natural language query parsing, deduplication (>85% similarity), and cross-reference boosting. Unifies search results ranked by recency, relevance, and authority. Use when designing memory retrieval, building entity graphs, or optimizing knowledge graph queries.

Use when a user needs help triaging dbt-core to Fusion migration errors. Runs dbt-autofix first, then classifies remaining errors into actionable categories (auto-fixable, guided fixes, needs input, blocked).

Configures and automates MikroTik RouterOS routers through the terminal, command line interface, .rsc imports, /system script repository, Scheduler, Netwatch, firewall, NAT, DHCP, DNS, bridge, VLAN, routing, VPN, device-mode, backup/export, and RouterOS scripting. Use this skill whenever the user mentions MikroTik, Mikrotik, RouterOS, WinBox terminal, router CLI, router scripts, .rsc files, or configuring MikroTik services from the command line.

Conventions for creating and managing development workflow tasks.Use 1) when asked to create a mise task, 2) when adding a tasks to node package file, pnpm, bun, 3) when creating or modifying a script, 4) to encapsulate a complex workflow or chain of commands.

Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform

Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform

Write modern, high-performance C# code using records, pattern matching, value objects, async/await, Span<T>/Memory<T>, and best-practice API design patterns. Emphasizes functional-style programming with C# 12+ features. Use when writing new C# code or refactoring existing code, designing public APIs for libraries or services, optimizing performance-critical code paths, or building async/await-heavy applications.

Modnet/MSS context for module-era Plaited agents. Use when generating or evaluating Bun workspace modules that export modules, mapping MSS semantics onto module behavior, or designing A2A-facing node capability surfaces without widening the minimal core.

Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.

Master Kubernetes observability, monitoring with Prometheus, logging, metrics, and distributed tracing. Learn to implement comprehensive monitoring strategies.

Uses Agent SDK to deploy 3 parallel agents for client onboarding -- workflow auditor, tech stack mapper, and strategy drafter. Real consulting workflow that produces a complete client assessment.

Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.

Converts multi-user workflow markdown into a self-contained Playwright test project with per-persona authentication, multi-context test patterns, and CI workflow. Use when the user says "convert multi-user workflows to playwright", "translate multi-user workflows to CI", or "generate multi-user playwright tests".

Generate, edit, and compose images using Google's Gemini 3 Pro Image model (Nano Banana Pro). Use this skill when the user asks to create images, generate visuals, edit photos, compose multiple images, create logos, thumbnails, infographics, product shots, or any image generation task. Supports text-to-image, image editing, multi-image composition (up to 14 images), iterative refinement, aspect ratio control, and Google Search-grounded image generation for real-time data visualization.

Provides comprehensive code review capability for NestJS applications, analyzing controllers, services, modules, guards, interceptors, pipes, dependency injection, and database integration patterns. Use when reviewing NestJS code changes, before merging pull requests, after implementing new features, or for architecture validation. Triggers on "review NestJS code", "NestJS code review", "check my NestJS controller/service".

Use when designing OCI networks, troubleshooting connectivity, optimizing egress costs, or configuring VCN security. Covers Service Gateway cost savings, VCN CIDR immutability, Security List vs NSG tradeoffs, VCN peering limitations, and Load Balancer subnet requirements.

Select the next backlog task and drive it through isolated implementation, review, docs, verification, and publish gates from a git-branchless detached HEAD. Use when "next task", "work the backlog", "pick the next issue", "do the next thing", or "start the next task".

Advanced patterns for production Next.js web chatbots built with AI SDK 6 + ai-elements. Covers tool calling with human-in-the-loop (HITL) approval, PostgreSQL session persistence, GDPR consent gating, SQL-first search, per-tool UI rendering, popup widget embedding, message feedback, follow-up suggestions, scope enforcement, and evals. Use when building a customer support bot, conversational interface, or any web chatbot needing tool approval, database sessions, or custom tool output components. Not a scaffolding tool — use `/ai-app` to scaffold from scratch, `/ai-sdk-6` for general SDK questions, `/ai-elements` for chat UI components, `/vercel:chat-sdk` for multi-platform (Slack/Teams/Discord) bots.

Primary research skill — use when the user asks to research, search, explore, find, trace, investigate, or understand code. Triggers include "find X", "where is Y defined?", "explore this dir", "trace definitions", "find usages", "how does X work?", "who calls Z?", "search for X", "research this library", "find PRs", "what package does X?", "understand this flow", "investigate this bug", "what changed?", or any code exploration/discovery need — local or external. Uses Octocode MCP tools directly (preferred). Falls back to gh CLI or Linux tools when MCP is unavailable.

Compile LaTeX papers to PDF with automatic error detection, chktex style checking, and citation/reference validation. Runs the full pdflatex + bibtex pipeline. Use when the user wants to compile a paper, fix compilation errors, or debug LaTeX.

Guides writing effective rebuttals after receiving peer review feedback. Covers review diagnosis (score-driven color-coding), response strategy (champion identification, common-theme consolidation), tactical writing (18 rules), and counterintuitive rebuttal principles. Use when: user received reviewer scores/comments, needs to write a rebuttal or author response, wants to respond to specific criticism (e.g. 'limited novelty', 'missing baselines'), mentions 'rebuttal', 'reviewer comments', 'author response', or 'respond to reviewers'. Do NOT use for pre-submission self-review (use paper-review instead).

Parallel execution patterns for cognitive reasoning tasks. Use when independent sub-problems can be solved simultaneously, multiple solution approaches need exploration, ensemble confidence is required, or time permits depth without sequential constraints. Integrates with ToT, BoT, HE, and AT for accelerated reasoning with fan-out/fan-in, MCTS-style search, and MoA aggregation patterns.

Create a Partnership & BD Execution Pack (partner thesis, target list + scoring, outreach kit, scalable offer + negotiation guardrails, and launch plan). Use for partnerships, business development (BD), strategic partnerships, channel partners, platform/integration partnerships, and partner outreach. Category: Sales & GTM.

Expert partnership marketing guidance for building and scaling partner programs, co-marketing campaigns, and channel ecosystems. Use when developing partner strategy, creating co-marketing content, designing partner tiers, building affiliate programs, positioning in integration marketplaces, enabling channel partners, planning joint webinars, or structuring revenue sharing. Use for technology partnerships, reseller programs, strategic alliances, and partner relationship management.

PCB Layout Engineer role -- physical board layout, component placement, routing, stackup definition, impedance control, and DRC validation for hardware projects.

Optimize Node.js application performance with caching, clustering, profiling, and monitoring techniques

Transform into 31 specialized AI personalities on demand - from Dev (coding) to Chef Marco (cooking) to Dr. Med (medical). Switch mid-conversation, create custom personas. Token-efficient, loads only active persona.

Check Figma designs against PatternFly v6 standards for colors, typography, spacing, and component usage. Use when validating a design before handoff, auditing existing mockups for compliance, or reviewing design token usage. Requires Figma MCP.

Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, or monitoring production AI systems with real-time insights.

Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, or monitoring production AI systems with real-time insights.

Implement, review, or improve photo picking, camera capture, and media handling in iOS apps using PhotoKit and AVFoundation. Use when working with PhotosPicker, PHPickerViewController, camera capture sessions (AVCaptureSession), photo library access, image loading and display, video recording, or media permissions. Also use when selecting photos from the library, taking pictures, recording video, processing images, or handling photo/camera privacy permissions in Swift apps.

Generates PHPUnit tests in PHP. Covers assertions, data providers, mocking, and test doubles. Use when user mentions "PHPUnit", "TestCase", "assertEquals", "PHP test". Triggers on: "PHPUnit", "TestCase PHP", "assertEquals PHP", "PHP unit test".

Generate production-ready React/Next.js components for Platxa platform. Creates Server/Client components, forms, data tables, and UI primitives following App Router patterns, TypeScript best practices, and Tailwind/Shadcn styling.

Use this skill when upgrading or migrating an Android project from any legacy Google Play Billing Library (PBL) version to the latest stable version of PBL.

End-to-end, API, and responsive testing for web applications using Playwright with TypeScript. Use when asked to write, run, debug, or maintain Playwright (@playwright/test) TypeScript tests for UI behavior, form submissions, user flows, API validation, responsive design, or visual regression. Covers browser automation, network interception, mocking, Page Object Model, fixtures, and parallel execution.

Guide for creating and managing Claude Code plugins. Use when creating a new plugin, adding plugin components (commands, agents, skills, hooks, MCP servers), or validating plugin structure and configuration.

Pre-release code review - runs lint/type checks, then launches 4 parallel review agents (cleanliness, design, efficiency, side-effect gating) to analyze the diff, synthesizes a unified report, and fixes with approval. Use before committing, pushing, or releasing changes. Triggers on "review code", "check before commit", "cleanup before release", "review changes", "is this ready to ship", "polish before release", "simplify".

Create and configure surveys in PostHog through guided conversation. Use this skill when a user wants to create a survey, collect user feedback, run NPS/CSAT/CES/PMF surveys, gather product feedback, or understand user sentiment. The skill guides Product Managers through survey design by matching their goals to proven templates (or creating custom surveys), then configuring targeting and scheduling before creating via PostHog MCP tools.

Expert PR and media relations guidance for earned media, press coverage, and reputation building. Use when writing press releases, crafting media pitches, developing journalist relationships, planning embargo strategies, managing crisis communication, placing thought leadership, building analyst relations, submitting award applications, or measuring PR coverage. Use for media outreach, press kits, speaking opportunities, and earned media strategy.

When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' 'monetization,' 'how much should I charge,' 'my pricing is wrong,' 'pricing page,' 'annual vs monthly,' 'per seat pricing,' or 'should I offer a free plan.' Use this whenever someone is figuring out what to charge or how to structure their plans. For in-app upgrade screens, see paywalls.

When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' or 'monetization.' This skill covers pricing research, tier structure, and packaging strategy.

When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' 'monetization,' 'how much should I charge,' 'my pricing is wrong,' 'pricing page,' 'annual vs monthly,' 'per seat pricing,' or 'should I offer a free plan.' Use this whenever someone is figuring out what to charge or how to structure their plans. For in-app upgrade screens, see paywall-upgrade-cro.

Guides for configuring Prisma with different database providers (PostgreSQL, MySQL, SQLite, MongoDB, etc.). Use when setting up a new project, changing databases, or troubleshooting connection issues. Triggers on "configure postgres", "connect to mysql", "setup mongodb", "sqlite setup".

Reference skill for Zoom Probe SDK. Use after routing to a preflight workflow when testing browser compatibility, media permissions, audio or video diagnostics, and network readiness before users join.

Expert product analytics strategist for SaaS and digital products. Use when designing product metrics frameworks, funnel analysis, cohort retention, feature adoption tracking, A/B testing, experimentation design, data instrumentation, or product dashboards. Covers AARRR, HEART, behavioral analytics, and impact measurement.

Create a Product-Led Sales Motion Pack (PQL/PQA definition, usage-signal spec + routing/SLA, sales outreach playbook, instrumentation plan, and pilot/scale plan). Use for product-led sales, sales-assist, PLG-to-sales handoffs, and converting self-serve usage into sales opportunities. Category: Sales & GTM.

Expert product strategist for vision, strategy, and market positioning. Use when defining product vision, assessing product-market fit, sizing market opportunities (TAM/SAM/SOM), competitive positioning, or choosing between build/buy/partner. Covers business model design, monetization strategy, platform decisions, and strategic roadmap planning.

Plan and drive safe old-to-new project or repository migrations with phase-based outputs, risk controls, and migration artifacts. Use when a user needs to: (1) audit an inherited or undocumented project before migration, (2) compare old and new repositories across tooling, architecture, routing, state, request, styling, CI/CD, or release flow, (3) produce migration deliverables such as audits, maps, diff matrices, plans, pilot scopes, adapter plans, risk lists, or verification checklists, (4) execute or update a specific migration phase such as intake, audit, map, diff, plan, pilot, execute, verify, or cleanup.

Expert skill for prompt engineering and task routing/orchestration. Covers secure prompt construction, injection prevention, multi-step task orchestration, and LLM output validation for JARVIS AI assistant.

This skill enriches vague prompts with targeted research and clarification before execution. Should be used when a prompt is determined to be vague and requires systematic research, question generation, and execution guidance. TRIGGER WHEN: the UserPromptSubmit hook flags a prompt as vague and the agent needs to research, generate clarifying questions, and wrap the prompt in an evaluation block. DO NOT TRIGGER WHEN: the prompt is already specific, or the user is invoking a slash command (the hook bypasses those via the /, #, @, ! prefixes).

Strengthen a raw user prompt into an execution-ready instruction set for Codex or another AI agent. Use when the user wants to improve an existing prompt, build a reusable prompting framework, wrap the current request with better structure, add clearer tool rules, or create a hook that upgrades prompts before execution.

Use this skill to generate a Midnight Network DApp spec brief through an adaptive Q&A. The output is a concise brief (not a full spec) intended as input to a downstream spec / planning skill such as /superpowers:brainstorming or /sdd:specify. Triggers on "generate midnight dapp spec", "improve midnight dapp prompt", "midnight dapp brief", "midnight dapp prompt", or /prompt-rewriter:midnight-dapp-spec.

Expert sales proposal and pricing presentation strategist. Use when writing proposals, executive summaries, ROI business cases, pricing presentations, SOWs (Statement of Work), RFP responses, or competitive positioning documents. Covers proposal structure, terms positioning, design formatting, follow-up strategy, and win-rate optimization.

Implement, review, or debug push notifications in iOS/macOS apps — local notifications, remote (APNs) notifications, rich notifications, notification actions, silent pushes, and notification service/content extensions. Use when working with UNUserNotificationCenter, registering for remote notifications, handling notification payloads, setting up notification categories and actions, creating rich notification content, or debugging notification delivery. Also use when working with alerts, badges, sounds, background pushes, or user notification permissions in Swift apps.

Write and audit Python code comments using antirez's 9-type taxonomy. Two modes - write (add/improve comments in code) and audit (classify and assess existing comments with structured report). Applies systematic comment classification with Python-specific mapping (docstrings, inline comments, type hints). TRIGGER WHEN: users request comment improvements, docstring additions, comment quality reviews, or documentation audits DO NOT TRIGGER WHEN: the task is outside the specific scope of this component.

Expert Quarterly Business Review facilitation for maximizing customer value and strategic alignment. Use when designing QBR programs, preparing executive presentations, demonstrating ROI and value realization, conducting strategic account planning, aligning product roadmaps, identifying risks and opportunities, facilitating business reviews, or automating QBR processes. Use for EBR preparation, success metrics presentation, renewal preparation, and stakeholder engagement.

High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.

High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.

High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.

Stage 2 code quality review. Triggers: 'quality review', 'check code quality', or /review stage 2. Requires spec-review to have passed first. Checks SOLID, DRY, security, and test quality. Do NOT use for spec compliance — use spec-review instead.

React component discipline: pure components, minimal state, effects as escape hatches. Invoke whenever task involves any interaction with React code — writing, reviewing, refactoring, debugging, or understanding JSX, hooks, component architecture, state management, or performance optimization.

Analyzes logs efficiently through targeted search and iterative refinement. Use when investigating errors, debugging incidents, or analyzing patterns in application logs.