Fetch hot finance news, unified trends, and prediction financial market data. Use when the user needs real-time financial news, trend reports from multiple finance sources (Weibo, Zhihu, WallstreetCN, etc.), or Polymarket finance market prediction data.

Fetch hot finance news, unified trends, and prediction financial market data. Use when the user needs real-time financial news, trend reports from multiple finance sources (Weibo, Zhihu, WallstreetCN, etc.), or Polymarket finance market prediction data.

Cross-cutting OmniStudio analysis skill for namespace detection, dependency visualization, and impact analysis across OmniScripts, FlexCards, Integration Procedures, and Data Mappers. Use this skill to detect which OmniStudio namespace an org uses, build directed dependency graphs, perform impact analysis, and generate Mermaid diagrams of component relationships. TRIGGER when: user asks about OmniStudio dependencies, wants namespace detection (Core vs vlocity_cmt vs vlocity_ins), needs impact analysis, requests dependency diagrams, or asks which components are affected by a change. DO NOT TRIGGER when: authoring OmniScripts (use building-omnistudio-omniscript), building FlexCards (use building-omnistudio-flexcard), creating Integration Procedures (use building-omnistudio-integration-procedure), or configuring Data Mappers (use building-omnistudio-datamapper).

Guideline for designing, implementing, and verifying secure APIs following OWASP API Security Top 10 (2023) best practices. Use when the user wants to: (1) review API code or design for security vulnerabilities, (2) design a secure REST, GraphQL, or gRPC API architecture, (3) implement API authentication and authorization (OAuth2, JWT, API keys, mTLS), (4) configure rate limiting, input validation, or CORS, (5) audit API endpoints for BOLA, BFLA, or mass assignment vulnerabilities, (6) create API security checklists or verification plans, (7) fix API security bugs or harden existing APIs, (8) set up API security testing (OWASP ZAP, Schemathesis, Burp Suite), or (9) handle any API security concern including SSRF prevention, resource consumption limits, business flow protection, API inventory management, and secure third-party API consumption.

Infer 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.

Use only when creating new registrable ML components that require Factory or Registry patterns.

Build and debug encrypted Solana applications with Arcium — data stays private during computation, no single party sees it. Use when writing Arcis circuits (#[encrypted], #[instruction]), wiring Anchor programs with init/queue_computation/callback flows, choosing Shared vs Mxe encrypted state, encrypting inputs with @arcium-hq/client (RescueCipher, x25519), or debugging ArgBuilder ordering, nonce, callback, or computation finalization failures. Covers dark pools, sealed-bid auctions, encrypted voting, hidden game state, confidential DeFi, secure randomness, and threshold signing. Also use for getting started with your first Arcium app.

When the user wants to audit or optimize an App Store or Google Play listing. Also use when the user mentions 'ASO audit,' 'app store optimization,' 'optimize my app listing,' 'improve app visibility,' 'app store ranking,' 'audit my listing,' 'why aren't people downloading my app,' 'improve my app conversion,' 'keyword optimization for app,' or 'compare my app to competitors.' Use when the user shares an App Store or Google Play URL and wants to improve it.

Pre-change blast-radius report for a symbol or file. Walks tree-sitting references, augments with a plain-text scan over non-parsed files (configs, plain docs), and clusters affected sites by feature (`_FEATURES.md`) or top-level package. Use when about to refactor, rename, or delete something in a repo you don't own — "what breaks if I change `validateUser`", "who calls this", "is this safe to remove", "where is this used", "blast radius", "impact analysis". This is the CONVERGENT pre-change risk skill — for "what is this repo?" use exploring-codebases; for "where is X?" use searching-codebases.

Manages MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data workloads and event processing. NOT for general MongoDB queries or Atlas cluster management. Requires MongoDB MCP Server with Atlas API credentials.

Audits deep link contracts and routing behavior. Use when validating supported routes, required parameters, and cold or warm start handling.

Use when adding Auth0 authentication to an iOS, macOS, tvOS, watchOS, or visionOS application — integrates the Auth0.swift SDK for native Apple platform authentication using Web Auth, CredentialsManager, and biometric protection.

Backend authentication and authorization patterns. JWT, OAuth2, session management, RBAC, and secure token handling.

Provides AWS CloudFormation patterns for CloudWatch monitoring, metrics, alarms, dashboards, logs, and observability. Use when creating CloudWatch metrics, alarms, dashboards, log groups, log subscriptions, anomaly detection, synthesized canaries, Application Signals, and implementing template structure with Parameters, Outputs, Mappings, Conditions, cross-stack references, and CloudWatch best practices for monitoring production infrastructure.

Generate/create/scaffold azure-pipelines.yml, stages, jobs, steps, or reusable templates.

Create a structured plan directory with Ralph Wiggum Loop integration for backend Django projects (PLAN.md, task files, and RALPH-PROMPT.md).

Formats plain text or markdown files with frontmatter, titles, summaries, headings, bold, lists, and code blocks. Use when user asks to "format markdown", "beautify article", "add formatting", or improve article layout. Outputs to {filename}-formatted.md.

Formats plain text or markdown files with frontmatter, titles, summaries, headings, bold, lists, and code blocks. Use when user asks to "format markdown", "beautify article", "add formatting", or improve article layout. Outputs to {filename}-formatted.md.

Formats plain text or markdown files with frontmatter, titles, summaries, headings, bold, lists, and code blocks. Use when user asks to "format markdown", "beautify article", "add formatting", or improve article layout. Outputs to {filename}-formatted.md.

AI SDK-based image generation using official OpenAI and Google APIs. Supports text-to-image, reference images, aspect ratios, and quality presets.

Production-grade Bash fundamentals - syntax, variables, control flow, functions

Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.

Create, update, or validate a PRD. Use when the user wants help producing, editing, or validating a PRD.

Generate or improve a company-specific marketplace-context skill by extracting knowledge from engineers and from the connected stack. BOOTSTRAP MODE - Triggers: "Create a marketplace context skill", "Set up marketplace personalisation for our stack", "Help me create a skill for our recsys", "Generate a marketplace context skill for [company]", "Bootstrap our recsys context" → Discovers surfaces / events / indexes / recipes / observability via MCPs, asks targeted questions, generates an initial skill with reference files. ITERATION MODE - Triggers: "Add context about [domain]", "The context skill needs more info about [topic]", "Update the marketplace context skill with [surfaces/events/indexes/recipes]", "Improve the [domain] section of the context skill" → Loads existing skill, asks targeted questions, appends/updates reference files. Use when engineers want Claude to understand their company's specific two-sided marketplace — the two sides, monetization model, surfaces, event taxonomy, index mappings, personalisation recipes, observability, KPIs, liquidity state, and known gotchas. The generated skill becomes the source of truth that every other /marketplace:* command loads before running.

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

Check product and brand names for conflicts across trademarks, domains, social handles, and package registries. Returns a risk level and Proceed/Modify/Abandon recommendation. Skip for name brainstorming, logo design, or trademark filings.

Amazon brand protection toolkit. Detect hijackers, counterfeits, and unauthorized sellers. Includes MAP violation monitoring, trademark abuse detection, complaint templates for Brand Registry, and test buy evidence collection guides. No API key required.

Web data extraction and discovery using the Bright Data JavaScript/TypeScript SDK (`@brightdata/sdk`). Use when the user is working in Node.js/TypeScript and asks to "scrape", "get data from", "extract", "search for", or "find" information from websites. Also use when the user mentions specific platforms like Amazon, LinkedIn, Instagram, Facebook, TikTok, YouTube, Reddit, Pinterest, ChatGPT, Perplexity, or DigiKey, or asks for "bulk data", "historical data", or "dataset" from JS. Covers scraping, SERP search, AI discovery, datasets, browser automation, and Scraper Studio. For Python, use brightdata-sdk; for the terminal CLI, use brightdata-cli.

This skill should be used when the user wants to build an "MCP app", add "interactive UI" or "widgets" to an MCP server, "render components in chat", build "MCP UI resources", make a tool that shows a "form", "picker", "dashboard" or "confirmation dialog" inline in the conversation, or mentions "apps SDK" in the context of MCP. Use AFTER the build-mcp-server skill has settled the deployment model, or when the user already knows they want UI widgets.

Instrument an existing codebase with LaunchDarkly config tracking. Walks the four-tier ladder (managed runner → provider package → custom extractor + trackMetricsOf → raw manual) and picks the lowest-ceremony option that still captures duration, tokens, and success/error.

Bun changes since training cutoff (latest: 1.3.10) — S3 client, built-in SQL/Redis, route-based HTTP server, CSS bundler, V8 compatibility. Load before working with Bun.

Partnership outreach, market research, competitor analysis, and proposal generation. Transform your AI agent into a strategic business development partner that identifies and cultivates growth opportunities.

Bybit AI Trading Skill — Trade on Bybit using natural language. Covers spot, derivatives, earn, and more. Works with Claude, ChatGPT, OpenClaw, and any AI assistant.

A skill to launch and interact with the Volcengine Redis MCP Server. This skill enables agents to manage Redis instances, databases, accounts, backups, and configurations using the MCP protocol. It connects to Volcengine via the provided credentials. Use this skill when the user needs to manage Volcengine Redis resources via MCP (e.g., list instances, query logs/keys, manage accounts/allowlists/backups/parameters).

Formats plain text or markdown files with frontmatter, titles, summaries, headings, bold, lists, and code blocks. Use when user asks to "format markdown", "beautify article", "add formatting", or improve article layout. Outputs to {filename}-formatted.md.

Structured code review using tiered persona agents, confidence-gated findings, and a merge/dedup pipeline. In interactive mode it applies safe, verified fixes and commits them when the working tree is clean (it never pushes); in mode:agent it reports only and the caller applies. Use when reviewing code changes before creating a PR.

Generate and critically evaluate grounded ideas about a topic. Use when asking what to improve, requesting idea generation, exploring surprising directions, or wanting the AI to proactively suggest strong options before brainstorming one in depth. Triggers on phrases like 'what should I improve', 'give me ideas', 'ideate on X', 'surprise me', 'what would you change', or any request for AI-generated suggestions rather than refining the user's own idea.

Autonomously draft and polish chapters through multi-skill editorial passes. Use when you have a complete outline and want to produce a polished first draft with iterative refinement.

Clerk changes since training cutoff (latest: 1.0.0) — Core 3 SDK, <Show> component, Clerk Elements, billing APIs, machine auth, Go/Python SDKs. Load before working with Clerk.

This skill should be used when the user asks to "create a justfile", "write just recipes", "configure just settings", "add just modules", "use just attributes", "set up task automation", mentions justfile, just command runner, or task automation with just.

# Cloud GPU Configurations Skill

Use when provisioning cloud resources, choosing between AWS services (Lambda vs ECS vs EKS), writing CDK/IaC, designing serverless or container architectures, configuring IAM/security groups, or optimizing cloud costs.

Use these skills when you need to troubleshoot slow queries, analyze system-level PromQL metrics, and identify structural performance issues like table fragmentation or missing unique indexes.

Competitive intelligence, market analysis, and strategic positioning for product differentiation.

Scaffold new components with stories, tests, and documentation following SOTA patterns and best practices

Content OS orchestrator - the master skill that produces ALL content types from one seed idea (forward mode) or splits long-form content into short-form pieces (backward mode). Invokes research, writing, quality review, and visual generation skills in a coordinated pipeline. Long-form content goes through full quality gates; short-form gets quick accuracy pass.

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Grounding an assistant in your app with assistant-ui copilots (@assistant-ui/react). Use when steering assistant behavior with useAssistantInstructions, feeding lazy app-state context via useAssistantContext({ getContext }), exposing rendered components with makeAssistantVisible(Component, { clickable, editable }), building two-way interactable state with useAssistantInteractable and Interactables(), or registering instructions and tools imperatively through useAui().modelContext().register({ getModelContext }). Reach for this when the assistant should read the current page, click or edit UI, or read and update component state through auto-generated update_{name} tools. For LLM tools and tool-call UI use the tools skill; for runtime and thread state use the runtime skill.

Configure-Price-Quote (CPQ) vertical skill for the Customware SPA. Defines patterns, minimum standards, layout patterns, lifecycle indicators, product configurator patterns, business rule templates, and mapping rules for transforming a DOMAIN.md into a CPQ-shaped application. Targeted at SMB customers (5-50 employees) migrating from spreadsheets and email-based quoting workflows. The prototype must feel dramatically better than Excel without feeling enterprise-overcomplicated. Patterns are defaults, not mandates — adapt them when the actual workflow deviates. Trigger signals: quoting, pricing, product configuration, calculators, guided intake forms, assessment tools, estimate builders, proposal workflows, eligibility checkers, any "fill in fields → calculate → produce a deliverable" pattern.

Use when writing or improving README files. Not all READMEs are the same — provides templates and guidance matched to your audience and project type.

Use when writing or improving README files. Not all READMEs are the same — provides templates and guidance matched to your audience and project type.

Designs multi-model AI research strategies across 9 research patterns for Claude Opus 4.6, Gemini 3.1 Pro Deep Research, and optionally GPT-5.2 Deep Research (with site restrictions and mid-session intervention) or GPT-5.2 Chat. Generates copy-pasteable prompts optimized per model with pattern-aware role assignment, a consolidation manifest for downstream synthesis, and a merge prompt for consolidating outputs. Accepts Research Request Specification from research-interviewer upstream. Triggers on "create research brief", "research plan", "multi-model research", "research prompts for Claude/Gemini/OpenAI", "design research strategy", "consolidate research outputs", "synthesize research results", "research best practices for...", "best practices for [technology]", "create a best practices guide for...", "research [technology] patterns", "document [technology] best practices", "compare X vs Y", "landscape of [domain]", "compliance requirements for [topic]", "ROI analysis for [decision]". Modes: DUAL (Claude+Gemini, default), FULL (3 models; GPT-5.2 Deep Research default), SINGLE (Claude only). 9 patterns: landscape_mapping, comparative_evaluation, implementation_pattern, best_practices, competitive_intelligence, market_research, user_research, economic_analysis, compliance_requirements. Outputs include consolidation manifest per consolidation-manifest-schema.md.

Create a new specification through an adaptive interview process with proactive recommendations and optional research. Use when user says "create spec", "new spec", "generate spec", or wants to start a specification document.

Guide users building apps, scripts, CI pipelines, or automations on top of the Cursor TypeScript SDK (`@cursor/sdk`). Use this skill whenever the user mentions integrating, installing, or writing code against the Cursor SDK; whenever they say `Agent.create`, `Agent.prompt`, `Agent.resume`, `agent.send`, `run.stream`, `CursorAgentError`, or `@cursor/sdk`; whenever they ask to run Cursor agents programmatically from a script, CI/CD pipeline, GitHub Action, backend service, or any other code that isn't the Cursor IDE itself; and whenever they want to pick between local and cloud runtime, configure MCP servers for an SDK agent, or handle streaming, cancellation, or errors from an SDK agent. Also trigger when a user is wiring Cursor into an automation, writing a bot that runs Cursor, or porting REST `/v1/agents` calls to the SDK, even if they don't explicitly name the package. Use this eagerly rather than answering from memory; the SDK surface evolves and this skill plus its references are the source of truth for the external package.

Generate statistical analysis code with 4-round review. Select appropriate statistical tests, interpret results, and produce analysis reports with p-values, effect sizes, and confidence intervals. Use when analyzing experimental data for a paper.

Apply Grey Haven database conventions - snake_case fields, multi-tenant with tenant_id and RLS, proper indexing, migrations for Drizzle (TypeScript) and SQLModel (Python). Use when designing schemas, writing database code, creating migrations, setting up RLS policies, or when user mentions 'database', 'schema', 'Drizzle', 'SQLModel', 'migration', 'RLS', 'tenant_id', 'snake_case', 'indexes', or 'foreign keys'.

Expert guidance for distributed training with DeepSpeed - ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8, 1-bit Adam, sparse attention

Expert guidance for distributed training with DeepSpeed - ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8, 1-bit Adam, sparse attention

Detect, suggest, and evaluate GoF design patterns in TypeScript/JavaScript codebases. Use when refactoring code, applying singleton/factory/observer/strategy patterns, reviewing pattern quality, or finding stack-native alternatives for React, Angular, NestJS, and Vue.

Universal visual quality skill for every Customware build. Encodes layout philosophy, hierarchy, restraint, rhythm, brand theming mechanics, the template contract, BrandMark rendering, archetype catalog, component recipes, and aesthetic anti-patterns. Read on every UI build. The first task agent (mitb-initial-agent) runs the vision pass once; this skill is the implementation contract that turns vision into a coherent app. Trigger signals: any UI build, improving visual quality, aesthetic balance, polished design, hierarchy, restraint, taste, component design, layout principles, premium feel, brand theming, template contract, light-mode default, BrandMark.

Remove AI writing patterns from prose. Use this skill when writing, drafting, editing, reviewing, or revising any text to eliminate predictable AI tells, slop, and formulaic patterns. Trigger this skill whenever the user asks to "deslop", "de-AI", "make it sound human," "remove AI patterns," "remove AI tropes," "clean up AI writing," fix "slop," "deslop" text, or review prose for authenticity. Also use when the user asks you to write or draft anything and wants it to sound natural rather than AI-generated. Common use cases include scientific writing (manuscripts, abstracts, cover letters, grant narratives, discussion sections, peer review responses), blog posts, newsletters, memos, reports, and any other substantial prose.

Guides development of Claude Code slash commands, including file format, YAML frontmatter fields, dynamic arguments ($ARGUMENTS, $1/$2), file references, bash execution, and command organization. Activates when the user asks to create a slash command, add a command, define command arguments, use command frontmatter, organize commands, create commands with file references, or needs guidance on command development best practices.

Laravel framework patterns for PHP applications including Eloquent ORM, migrations, routing, queues, and Blade templates. Use when building Laravel applications or working with Laravel projects.

Help users debug PostHog Error Tracking stack-trace symbolication for any supported platform — JavaScript/TypeScript web, React Native (Hermes), Android (Proguard / R8), or iOS / macOS (dSYM). The PostHog symbol-set lookup flow is universal across platforms; build-tool and artifact details live in per-platform references (JavaScript is fleshed out, others come as we encounter them). Use when stack frames stay minified or obfuscated after symbols are uploaded, PostHog symbol sets show last_used but frames are not readable, chunk IDs or dSYM UUIDs do not match, "Token not found" appears, uploaded source maps / dSYMs / Proguard mappings look empty, or bundler / symbol-upload configuration needs troubleshooting.

Generate container-based release pipelines that build once and promote immutable artifacts through environments (dev → staging → prod). Detects your stack, interviews for infrastructure choices, then outputs deterministic CI/CD files (Dockerfile, workflows, deployment manifests) that run without an LLM. Use when setting up deployment pipelines, containerizing an app, creating release workflows, or connecting CI to container-friendly infrastructure (Azure Container Apps, AWS Fargate, Google Cloud Run, Kubernetes, Dokku, Coolify, CapRover, etc.).

Searching internet for technical documentation using llms.txt standard, GitHub repositories via Repomix, and parallel exploration. Use when user needs: (1) Latest documentation for libraries/frameworks, (2) Documentation in llms.txt format, (3) GitHub repository analysis, (4) Documentation without direct llms.txt support, (5) Multiple documentation sources in parallel

Upload local documents to TianGong AI Unstructure `/mineru_with_images` API for fine-grained parsing and return only plain fulltext content. Use when a task needs document fulltext extraction with `return_txt=true`, strict file-type allowlist validation, API base URL/auth token from environment variables, and optional provider/model overrides.

API documentation with OpenAPI and developer portals

This skill should be used when the user asks to "create a PRD", "write an ADR", "create a design doc", "make a work plan", "create task files", or needs guidance on document templates, creation criteria, or determining which documents are required for a given change scope.

Guides the creation of a "Minimal Root" home directory using the XDG Base Directory specification and a Bare Git Repository. Manages config separation, secrets, and cross-platform syncing.

This skill should be used when the user asks to "create a diagram", "draw a flowchart", "make a swimlane diagram", "create WBS", "generate RACI matrix", "build network diagram", "create org chart", or mentions draw.io, diagrams.net, BPMN, UML, Gantt, PERT, or project management diagrams. Integrates with next-ai-draw-io MCP server for real-time diagram creation and editing.

Generate professional diagrams as valid draw.io XML files — flowcharts, architecture, C4 models, ER diagrams, sequence diagrams, mind maps, and swimlanes. Don't use for Excalidraw or Mermaid output, hand-drawn sketch styles, or slide decks/presentations.

Drizzle ORM for type-safe SQL with PostgreSQL, MySQL, and SQLite. Use when defining schemas, writing queries, managing relations, running migrations, or using drizzle-kit. Use for drizzle, orm, schema, query, migration, pgTable, relations, drizzle-kit, drizzle-zod.

Work with Dynatrace notebooks - create, modify, query, and analyze notebook JSON. Derives from the dt-app-dashboards skill with notebook-specific differences documented here.

DAVIS problem analysis including root cause identification, impact assessment, and correlation with other telemetry. Use when querying or investigating detected problems. Trigger: "active problems", "root cause analysis", "problem impact", "affected users", "list problems", "P-12345 details", "recurring problems", "problem history", "problem trending", "blast radius", "which entity caused the problem", "problems affecting Kubernetes", "problems by service". Do NOT use for explaining existing queries, product documentation questions, generic log searching, distributed tracing, or host-level resource monitoring.

This skill should be used when the user asks to "review code", "review my changes", "check effect patterns", "run effect review", "effect review", "review for effect best practices", or wants a comprehensive code review against Effect-TS conventions, branded types, observability, error handling, test coverage, and UI quality.

Rigor Setup skill for README-first deep learning repo reproduction. Use when the task is specifically to prepare a conservative conda-first environment, checkpoint and dataset path assumptions, cache location hints, and setup notes before any run on a README-documented repository. Do not use for repo scanning, full orchestration, paper interpretation, final run reporting, or generic environment setup that is not tied to a specific reproduction target.

Use when designing error hierarchies, implementing React error boundaries, adding retry logic or fallbacks, creating API error responses, integrating error tracking (Sentry), or improving user-facing error communication.

Search Europeana's 50M+ cultural heritage items from 4,000+ European museums, galleries, libraries, and archives. Use this skill whenever the user wants to find European art, manuscripts, photographs, maps, 3D objects, audio, or video from institutions like the Rijksmuseum, British Library, Louvre, or Gallica. Also triggers when searching for open-access European cultural heritage, IIIF resources, or cross-referencing European collections with other library catalogs.

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Event-driven architecture patterns with event sourcing, CQRS, and message-driven communication. Use when designing distributed systems, microservices communication, or systems requiring eventual consistency and scalability.

Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define Pydantic models, implement authentication flows, set up async SQLAlchemy database operations, add JWT authentication, build WebSocket endpoints, or generate OpenAPI documentation. Trigger terms: FastAPI, Pydantic, async Python, Python API, REST API Python, SQLAlchemy async, JWT authentication, OpenAPI, Swagger Python.

FastAPI changes since training cutoff (0.112-0.135.3) -- native SSE, yield streaming, strict_content_type, dependency scopes, Pydantic v1 dropped, Starlette 1.0, Pydantic 2.12 MISSING sentinel/exclude_if, security 401 fix. Load before working with FastAPI.

Runs Fastly Compute WASM binaries locally and serves as the authoritative reference for Compute platform internals. The fastlike source code is highly readable and covers the host ABI, caching and purging APIs, KV/config/secret store interfaces, rate limiting with counters and penalty boxes, ACL lookups, the full request lifecycle, backend fetch semantics, and a built-in per-request profiler with hostcall spans, backend waterfalls, native CPU samples, and optional deep metrics (body bytes, cache outcomes, header summaries, wasm heap curve). Use when working with Compute runtime internals or host calls, understanding how edge data stores behave at runtime, profiling local Compute apps, or testing WASM binaries locally. Prefer this skill over Viceroy for any non-Rust Compute work — its source code is easier to understand as a Fastly Compute API reference.

Manages OrchestKit learning system including feedback status, usage pattern tracking, and privacy/analytics consent. Supports pause/resume learning, data export, privacy policy display, and bug reporting. Tracks learned patterns and agent performance metrics. Use when reviewing learned patterns, pausing learning, or managing data consent.

Cloud-native SaaS architecture methodology extending Twelve-Factor with three additional factors (API First, Telemetry, Security). Use when planning SaaS tools, product software architecture, microservices design, PRPs/PRDs, or cloud-native application development; when the user says "fifteen factor", "12 factor", "SaaS architecture", "cloud-native design", "application architecture", "microservices best practices"; or when in a planning/architecture session. Do NOT use for greenfield monolith design without cloud-native constraints, internal tooling that will never ship as a service, or local-only scripts.

MANDATORY prerequisite — load this skill BEFORE every `generate_diagram` tool call. NEVER call `generate_diagram` directly without loading this skill first. Trigger whenever the user asks to create, generate, draw, render, sketch, or build a diagram — flowchart, architecture diagram, sequence diagram, ERD or entity-relationship diagram, state diagram or state machine, gantt chart, or timeline. Also trigger when the user mentions Mermaid syntax or wants a system architecture, decision tree, dependency graph, API call flow, auth handshake, schema, or pipeline visualized in FigJam. Routes to type-specific guidance, sets universal Mermaid constraints, and tells you when to use a different diagram type or skip the tool entirely (mindmaps, pie charts, class diagrams, etc.).

Production-grade file operations - permissions, find, archives, rsync

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Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, OpenAI fine-tuning, instruction tuning, RLHF, DPO, or quantizing and deploying fine-tuned models. Trigger terms include: LoRA, QLoRA, PEFT, finetuning, fine-tuning, adapter tuning, LLM training, model training, custom model.

Master HTTP clients, REST APIs, GraphQL integration, WebSockets, and JSON serialization in Flutter applications. Use when implementing API calls, handling network requests, parsing JSON, or working with real-time data.

Add, fix, audit, and maintain Flutter internationalization with gen-l10n, ARB files, AppLocalizations, flutter_localizations, intl formatting, plural/select messages, RTL support, locale-specific number/date formatting, and localization build errors. Use when asked to add l10n or i18n, translate Flutter UI text, configure l10n.yaml, manage ARB translations, migrate away from package:flutter_gen imports, or troubleshoot generated localization code.