Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
All
Switches the active Salesforce org (default target-org) using the Salesforce CLI. Use whenever someone wants to change which org CLI commands run against — whether they say "switch org", "change default org", "set my org to", "use alias", "point to", or describe wanting to work against a specific org, scratch org, sandbox, or production.
Source, vet and contract the suppliers a venue does not include — caterers, AV and production suppliers, security firms, insurance brokers, swag and print. Covers the venue-exclusivity check that precedes any evaluation, one identical brief per category, sourcing posture and quote-comparison depth, contract red flags and the certificate-of-insurance ask, ordering lead times, delivery buffers, and day-of coordination. Use whenever the user mentions finding a caterer, comparing supplier quotes, briefing an AV or security supplier, ordering swag or T-shirts, or reading a vendor contract before signing — even if they never say "vendor". Refuses to invent supplier prices. Do NOT use to write the AV technical spec — use samber/dev-event-organizer-skills@event-production instead.
Run a startup pitch contest or demo day inside a technical event—the pre-event application and selection funnel, the pitch format and the time it costs, the rubric dimensions an investor judge actually scores, the conflict of interest of a judge who may invest in the company just ranked, and a prize the winner can use—introductions, committed slots or equity-free cash. Use whenever the user mentions a pitch competition or demo day, opening applications for startups, picking a slate, briefing an investor jury, pitch time limits, or what the winner gets—even if they never say “pitch contest.” Routes securities and contest-law questions to counsel. Do NOT use for projects built during the event—use samber/dev-event-organizer-skills@hackathon-judging instead.
Configure Grafana OSS — provisions dashboards from YAML, sets up data sources (Prometheus / Loki / Tempo / Pyroscope), writes dashboard JSON with template variables, builds panel queries, assigns built-in roles (Viewer / Editor / Admin / GrafanaAdmin), mints service-account tokens, edits grafana.ini server config, creates annotations, installs plugins via provisioning, and validates each step with a health-check curl. Use when building dashboards, configuring data sources, setting up provisioning YAML, picking a panel type, writing template variables, managing users and roles, configuring SMTP/OAuth in grafana.ini, creating annotations via API, troubleshooting why a provisioned dashboard isn't showing up, or running Grafana OSS locally — even when the user says "set up a Prometheus data source", "provision dashboards from git", "make a service account", or "configure SSO in OSS" without saying "Grafana OSS".
Define product positioning by mapping competitive alternatives, unique attributes, and best-fit customers to the right market category. Use when the user mentions "positioning", "competitive alternatives", "how to position", "market category", "positioning canvas", "repositioning", "category creation", "what category are we in", or "why prospects dont get what we do". Also trigger when launching a new product, entering a crowded market, or diagnosing why prospects dont grasp the product's value. Covers the positioning canvas and team workshops. For customer jobs analysis, see jobs-to-be-done. For go-to-market, see crossing-the-chasm.
Amazon Aurora PostgreSQL — creates, modifies, and advises on Aurora PostgreSQL clusters specifically (PostgreSQL-compatible engine, Aurora serverless, express configuration, pgvector, Babelfish). Trigger for Aurora PostgreSQL cluster operations, express-configuration quick-start, ACU sizing, I/O-Optimized storage, commitment pricing, or PostgreSQL upgrade planning. For Aurora MySQL, use amazon-aurora-mysql instead. Contains safety guardrails, express-first routing, and response templates that override defaults.
Expert Django backend development guidance. Use when creating Django models, views, serializers, or APIs; debugging ORM queries or migrations; optimizing database performance; implementing authentication; writing tests; or working with Django REST Framework. Follows Django best practices and modern patterns.
ALWAYS USE THIS SKILL to assign permission sets to org users. Assign one or more permission sets to org users using the sf org assign permset command. TRIGGER when the user asks to assign, grant, give, add, or apply permission sets to users, admins, specific orgs, or specific users. Supports granting permissions, giving access, and adding permission sets to default admin or specific users via --on-behalf-of. DO NOT TRIGGER for listing permission sets or checking user permissions.
Engineer the technical AV production of a technical event once the format and session grid are fixed: capture tiers from a single smartphone to multi-camera vision mixing, signal-path architecture separating room display from recorded output and crew monitor, redundancy against named recorded-audio failure modes, AV crew roles, the written technical spec handed to venue sourcing, the Media budget line, rehearsal, and the publication pipeline. Use whenever the user mentions conference AV, recording or livestreaming talks, cameras, microphones, an AV supplier brief, or a backup plan for a technical failure — even if they never say "production". Do NOT use to decide whether to run hybrid or virtual at all — use samber/dev-event-organizer-skills@event-format-selection instead.
Recruit and organize the volunteer workforce that staffs one edition of a technical event - roster sizing built bottom-up from the posts the schedule needs standing, role definitions with real fit criteria, shift plans with arrival buffers, sign-up and confirmation, the briefing including the code-of-conduct escalation script, a named replacement protocol holding coverage, and recognition for the people who showed up. Use whenever the user mentions how many volunteers an event needs, recruiting or signing up volunteers, volunteer roles or a shift schedule, briefing volunteers, or a volunteer who does not turn up - even if they never say "volunteers". Do NOT use for volunteer care and retention - use samber/dev-event-organizer-skills@event-volunteer-experience instead.
Design the general-attendee on-site journey for a technical event - check-in desk and badge pickup, the badge's privacy and scanning posture, wayfinding and signage, the quiet room and other facilities, meal and dietary mechanics, the help path, first-time-attendee orientation, and a walkthrough audit of the finished design. Use whenever asked how to run conference check-in, whether to put a QR code on a badge, where the quiet room goes, how to sign a venue so people find rooms, how to hand out dietary-restricted meals, what a help desk should cover, or how a first-timer finds their feet. Starts at the door. Do NOT use for registration or no-show mechanics - use samber/dev-event-organizer-skills@event-no-show-management; speakers, sponsors and volunteers have their own journey skills.
Run the speaker-side experience from the moment a speaker confirms through to the thank-you after their talk—collecting bio, headshot, A/V needs and travel details against a deadline ladder, a single named point of contact, the pre-event briefing and slide deadline, tech check and green room, documented recording consent and its per-format opt-out asymmetry, and post-event follow-up. Use whenever the user mentions what to send an accepted speaker, a green room, speaker travel or hotel, a tech check, recording consent, a speakers' dinner, or a first-time speaker's care—even if they never say “speaker experience.” Do NOT use before acceptance (samber/dev-event-organizer-skills@event-speaker-cold-outreach) or for dry runs and talk feedback (samber/dev-event-organizer-skills@event-speaker-coaching).
Provisions, scales, and operates Amazon EC2 virtual-machine workloads: instance-type selection (Graviton/Arm64, burstable T credits, GPU, instance store vs EBS), launch templates, Auto Scaling groups (scaling policies, instance refresh, mixed instances, Spot, warm pools, lifecycle hooks), IMDSv2, placement groups, Elastic IPs, AMI lifecycle, and Systems Manager fleet operations (Session Manager, Run Command, Patch Manager). Applies to EC2 instance and fleet questions, InsufficientInstanceCapacity, CPU-credit/surplus charges, IMDSv2 401s, instances stuck in Pending:Wait, ASG not replacing unhealthy instances, status-check failures, SSH refused/timed out, or instances missing as SSM managed nodes. For a single secure instance launch, the launching-ec2-instance-with-best-practices skill is more appropriate; for instance profiles, see setting-up-ec2-instance-profiles; for Image Builder, see amazon-ec2-image-builder. Does NOT cover Lambda, ECS/Fargate, EKS, VPC/ALB/NLB design, or IAM policy authoring.
Design the rubric and the scoring process for judging projects built during a hackathon - evaluation criteria and their weights, the scoring scale, judge coverage and the allocation arithmetic that fits the judging window, cross-judge score normalization, tie-breaking, sponsor and judge conflict-of-interest handling, judge recruitment and briefing, and results announcement including a contested result. Use whenever the user mentions a hackathon judging rubric, criteria weights, how many judges a team count needs, briefing a jury, a sponsor judging its own challenge track, or tie-break and dispute rules - even if they never say "judging". Do NOT use for prize amounts and payout law - use samber/dev-event-organizer-skills@hackathon-cash-prize instead.
Brainstorm product ideas, explore problem spaces, and challenge assumptions as a thinking partner. Use when exploring a new opportunity, generating solutions to a product problem, stress-testing an idea, or when a PM needs to think out loud with a sharp sparring partner before converging on a direction.
Retrieve, query, and identify relevant Cloud Monitoring metric descriptors on Google Cloud for a service or resource (such as Compute Engine, Spanner, BigQuery, Cloud Run, Cloud SQL, Pub/Sub, Cloud Storage, etc.). Use when asked to find, list, search, or discover GCP metric types, names, kind/value schemas, or descriptors.
Decide which accessibility and inclusion provisions a technical event commits to—the physical, sensory, dietary, economic and digital-access set, at what depth, sized for whom, funded from where—plus the public declaration of it and the data-handling posture for accommodation requests. Use whenever asked what accessibility a conference should offer, whether to caption talks, whether to run a quiet room, childcare or travel grants, whether to staff an identifiable inclusion team, how to write an accessibility page, or how to answer an accommodation request, even if the user never says “accessibility.” Decides the bar, not delivery. Do NOT use for the code of conduct—use samber/dev-event-organizer-skills@event-code-of-conduct. Not legal advice; access duties vary by jurisdiction.
DEPRECATED - this skill is unmaintained. Use the official Angular skills at https://github.com/angular/skills instead. Implement dependency injection in Angular v20+ using inject(), injection tokens, and provider configuration. Use for service architecture, providing dependencies at different levels, creating injectable tokens, and managing singleton vs scoped services. Triggers on service creation, configuring providers, using injection tokens, or understanding DI hierarchy.
Use this skill when users need to create Custom Lightning Types (CLTs) for Einstein Agent actions or structured input/output schemas. Trigger when users mention CLT, Custom Lightning Types, JSON schemas for agents, type definitions, lightning__objectType, or editor/renderer configurations. For widget renditions that combine a CLT with a Widget bundle, use the platform-lightning-type-widget-coordinate orchestrator instead. This is complex - always use this skill for CLT work.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback. Use when evaluating academic or scientific work — papers, proposals, methods sections, or evidence quality — against a repeatable rubric.
YouTube thumbnail design with specific dimensions, contrast rules, and mobile preview optimization. Covers safe zones, text placement, face expression psychology, and A/B testing. Use for: YouTube thumbnails, video cover images, click-through optimization. Triggers: youtube thumbnail, thumbnail design, video thumbnail, click through rate, ctr optimization, youtube cover, video cover image, thumbnail maker, thumbnail tips, youtube design, video preview image
Use local administrative licensing data (LOCALDATA) to look up the operating, temporarily closed, or permanently closed status, license date (time in business), closure date, business type, and address of local businesses (208 licensed categories, including restaurants, cafes, lodging, pharmacies, beauty salons, and academies). Search by business name + city/county/district. No authentication key required.
Structured competitive analysis with feature matrices, SWOT, positioning maps, and UX review. Covers research frameworks, pricing comparison, review mining, and visual deliverables. Use for: market research, competitive intelligence, investor decks, product strategy, sales enablement. Triggers: competitor analysis, competitive analysis, competitor teardown, market research, competitive intelligence, swot analysis, competitor comparison, market landscape, competitor review, competitive landscape, feature comparison, market positioning
Generate and edit videos with Alibaba HappyHorse 1.0 models via inference.sh CLI. Models: HappyHorse T2V, I2V, R2V, Video Edit. Capabilities: text-to-video, image-to-video, reference-to-video, video editing with natural language, character preservation, 720P/1080P, up to 15 seconds. Use for: physically realistic video, video editing, character-consistent content, product demos, social media. Triggers: happyhorse, happy horse, alibaba video, happyhorse 1.0, dashscope video, alibaba happyhorse, video editing ai, ai video editor
Landing page conversion optimization with layout rules, hero section design, and CTA psychology. Covers above-the-fold formula, social proof placement, mobile design, and F-pattern reading. Use for: startup landing pages, product pages, SaaS marketing, conversion optimization. Triggers: landing page, hero section, above the fold, conversion optimization, landing page design, CTA button, hero image, landing page layout, SaaS landing page, product page design, conversion rate, landing page best practices
Synthesize speech from text with Qwen TTS models. TRIGGER when: user wants to convert text to speech, create voiceovers, generate audio narration, read text aloud, build TTS applications, mentions speech synthesis/voice generation/audio output from text, or explicitly invokes this skill by name (e.g. use qianwen-audio-tts). DO NOT TRIGGER when: user wants speech recognition/ASR, text generation without audio, non-Qwen audio tasks
Product Hunt launch optimization with specific specs, timing, and gallery strategy. Covers taglines, gallery images, maker comments, and launch day tactics. Use for: product launches, startup launches, side project launches, Product Hunt optimization. Triggers: product hunt, ph launch, product hunt launch, launch strategy, product launch, startup launch, product hunt tips, product hunt gallery, ph optimization, launch day, product hunt maker
Film and video storyboarding with shot vocabulary, continuity rules, and panel layout. Covers shot types, camera angles, movement, the 180-degree rule, and annotation format. Use for: video planning, film pre-production, ad storyboards, music video planning, animation. Triggers: storyboard, storyboarding, shot list, film planning, video planning, pre-production, shot composition, camera angles, scene planning, visual script, animatic, storyboard panels, video storyboard
Search the National Tax Service's published list of high-value, habitual tax delinquents via the public search on nts.go.kr. Match corporate and individual lists by business or corporate name and list published delinquency details (total amount owed, tax type, delinquency summary, etc.). No authentication key required. In 돌쇠, follow-up actions are also performed through the official interface.
Apply foundational design principles: affordances, signifiers, constraints, feedback, and conceptual models. Use when the user mentions "why is this confusing", "affordance", "error prevention", "discoverability", "human-centered design", "mental model", "mapping", "seven stages of action", "users keep making mistakes", "this is unintuitive", or "people cant figure out how to use it". Also trigger when reducing product complexity or feature creep. Covers the gulfs of execution and evaluation. For usability scoring, see ux-heuristics. For iOS-specific patterns, see ios-hig-design.
Builds security-focused full-stack web applications by implementing integrated frontend and backend components with layered security at every level. Covers the complete stack from database to UI, enforcing auth, input validation, output encoding, and parameterized queries across all layers. Use when implementing features across frontend and backend, building REST APIs with corresponding UI, connecting frontend components to backend endpoints, creating end-to-end data flows from database to UI, or implementing CRUD operations with UI forms. Distinct from frontend-only, backend-only, or API-only skills in that it simultaneously addresses all three perspectives—Frontend, Backend, and Security—within a single implementation workflow. Invoke for full-stack feature work, web app development, authenticated API routes with views, microservices, real-time features, monorepo architecture, or technology selection decisions.
Configures monitoring systems, implements structured logging pipelines, creates Prometheus/Grafana dashboards, defines alerting rules and instruments distributed tracing. Implements Prometheus/Grafana stacks, conducts load testing, performs application profiling and plans infrastructure capacity. Use when setting up application monitoring, adding observability to services, debugging production issues with logs/metrics/traces, running load tests with k6 or Artillery, profiling CPU/memory bottlenecks or forecasting capacity needs.
Write, run, and analyze structured test suites for Agentforce agents — functional AND security. TRIGGER when: user writes or modifies test spec YAML (AiEvaluationDefinition); runs sf agent test create, run, run-eval, or results commands; asks about test coverage strategy, metric selection, or custom evaluations; interprets test results or diagnoses test failures; asks about batch testing, regression suites, or CI/CD test integration; requests security testing, OWASP LLM Top 10, red-teaming, penetration testing, prompt-injection tests, a security grade, or a vulnerability assessment of an agent. DO NOT TRIGGER when: user creates, modifies, previews, or debugs .agent files (use agentforce-generate); deploys or publishes agents; writes Agent Script code; uses sf agent preview for development iteration; analyzes production session traces (use agentforce-observe); performs a static safety review of .agent file content (use agentforce-generate Section 15).
Generate images with Pruna P-Image models via inference.sh CLI. Models: P-Image, P-Image-LoRA, P-Image-Edit, P-Image-Edit-LoRA. Capabilities: text-to-image, image editing, LoRA styles, multi-image compositing, fast inference. Pruna optimizes models for speed without quality loss. Triggers: pruna, p-image, pruna image, fast image generation, optimized flux, pruna ai, p image, fast ai image, economic image generation, cheap image generation
Use when the user asks about WordPress codebases (plugins, themes, block themes, Gutenberg blocks, WP core checkouts) and you need to quickly classify the repo and route to the correct workflow/skill (blocks, theme.json, REST API, WP-CLI, performance, security, testing, release packaging).
Analyze production Agentforce agent behavior using session traces and Data Cloud, and manage Agent Health Monitoring (AHM) alerts. TRIGGER when: user queries STDM session data or Data Cloud trace records; investigates production agent failures, regressions, or performance issues; asks about session traces, conversation logs, or agent metrics; wants to reproduce a reported production issue in preview; runs findSessions or trace analysis queries; creates, lists, updates, or deletes an AHM data alert on an agent metric (escalation rate, deflection, etc.); asks why an alert is not firing or wants to check whether alerts have fired (notification counts, or the per-alert Incidents view). DO NOT TRIGGER when: user creates, modifies, or debugs .agent files during development (use agentforce-generate); writes or runs test specs (use agentforce-test); uses sf agent preview for local development iteration; deploys or publishes agents.
Writes, refactors, and evaluates prompts for LLMs — generating optimized prompt templates, structured output schemas, evaluation rubrics, and test suites. Use when designing prompts for new LLM applications, refactoring existing prompts for better accuracy or token efficiency, implementing chain-of-thought or few-shot learning, creating system prompts with personas and guardrails, building JSON/function-calling schemas, or developing prompt evaluation frameworks to measure and improve model performance.
Software Mansion's best practices for production React Native and Expo apps on the New Architecture. MUST USE before writing, reviewing, or debugging ANY code in a React Native or Expo project. If the working directory contains a package.json with react-native, expo, or expo-router as a dependency, this skill applies. Trigger on: any code task in a React Native/Expo project, 'React Native', 'Expo', 'New Architecture', 'Reanimated', 'Gesture Handler', 'react-native-svg', 'ExecuTorch', 'react-native-audio-api', 'react-native-enriched-html', 'Worklet', 'Fabric', 'TurboModule', 'WebGPU', 'react-native-wgpu', 'TypeGPU', 'GPU shader', 'WGSL', 'svg', 'animation', 'gesture', 'audio', 'rich text', 'AI model', 'multithreading', 'chart', 'vector', 'image filter', 'shared value', 'useSharedValue', 'runOnJS', 'scheduleOnRN', 'thread', 'worklet', 'Bundle Mode', or any question involving UI, graphics, native modules, or React Native threading and animation behavior. Also use when a more specific sub-skill matches.
Find and explore Windows desktop APIs. Use when building features that need platform capabilities — camera, file access, notifications, UI controls, AI/ML, sensors, networking, etc. Discovers the right API for a task and retrieves full type details (methods, properties, events, enumeration values).
Talk to customers without leading them using Mom Test rules: discuss their life not your idea, ask about specifics in the past, and talk less. Use when the user mentions "customer interviews", "validate my idea", "users say they want it but don't buy", "leading questions", "The Mom Test", "customer feedback bias", or "interview script". Also trigger when preparing user-research questions, interpreting ambiguous feedback, or designing customer discovery that avoids false positives. Covers commitment and advancement, avoiding compliments, and extracting signal from noise. For product-market fit, see jobs-to-be-done. For rapid prototype testing, see design-sprint.
Control Android devices and emulators from inside Orca over adb, with the live device view in Orca's emulator pane. Use when driving an adb-connected emulator or phone on Windows, Linux, or macOS: booting AVDs, taps, swipes, typing, hardware buttons, rotation, app install and launch, runtime permissions, the accessibility tree, and logcat. For an iOS simulator use the iOS emulator skill; build the APK with Gradle first.
Queries S3 object metadata, tracks bucket activity, audits object changes, searches annotations, and analyzes storage metrics using S3 Metadata system tables (journal, inventory, annotation) and S3 Storage Lens tables via Athena SQL. Applies when counting objects, finding recent uploads or deletions, identifying who wrote to a prefix, breaking down storage classes, finding objects by tag, searching annotation content, analyzing storage lens metrics, or enabling S3 Metadata tracking. Prefers system tables over raw S3 APIs (list-objects-v2, head-object) at scale. Trigger phrases: bucket activity, object count, who uploaded, track deletions, storage class breakdown, find by tag, search annotations, storage lens metrics, audit bucket changes.
Guides migration, provisioning, search, log analytics, trace analytics, and Agentic AI Assistant workflows for Amazon OpenSearch Service and Serverless across six capabilities — migration (Solr/ES/self-managed into AOS/AOSS, schema/query translation, sizing, cutover); provisioning (domain + AOSS lifecycle, upgrades, FGAC, monitoring); search (vector / semantic / hybrid / RAG with Bedrock); log analytics (PPL, OSI, anomaly detection, Dashboards); trace analytics (OTel spans, service maps, Data Prepper); ai-assistant (natural language data exploration, incident investigation, root cause analysis). Triggers on OpenSearch, AOS, AOSS, Elasticsearch, Solr, vector/k-NN/semantic/hybrid search, RAG, log analytics, PPL, trace analytics, ISM, FAISS, HNSW, Migration Assistant, UltraWarm, OR1, query my data, analyze logs, investigate errors, root cause analysis.
Pre-deployment verification checklist. Use when about to ship a release, deploying a change with database migrations or feature flags, verifying CI status and approvals before going to production, or documenting rollback triggers ahead of time.
Use when someone asks for a new Hairline figure, or runs /hairline-create with an idea. Draws one isometric line figure that answers the pointer, in the style and on the engine of @lucasmarkes/hairline, and hands it over as a single self-contained HTML file.
Trigger on mention of GKE cluster autoscaler, node autoscaling, node pool auto-creation / node auto-provisioning. Provides guidance on enabling and optimizing cluster autoscaler, best practices, and troubleshooting issues such as nodes not scaling up or down, zonal stockouts, or capacity buffers. Do not use for ComputeClass-specific YAML generation or priority configuration (defer to gke-compute-classes skill).
UWP-to-WinUI 3 migration reference. Maps legacy UWP APIs to correct Windows App SDK equivalents with before/after code snippets. Covers namespace changes, threading (CoreDispatcher to DispatcherQueue), windowing (CoreWindow to AppWindow), dialogs, pickers, sharing, printing, background tasks, and the most common Copilot code generation mistakes.
Scrape web pages using Scrapling with HTTP requests, stealth browsers, JavaScript rendering, browser actions, API response capture, concurrent spiders, and adaptive parsing. Use when asked to scrape, crawl, or extract data from websites; web_fetch fails; the site has anti-bot protections; write Python code to scrape/crawl; or write spiders.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.