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Found 737 Skills
Check whether a tenant's DEPLOYED Sumsub config actually satisfies a regulation/policy document — tracing each requirement to where it is collected, scored, and ENFORCED, and flagging "collected-but-not-enforced" gaps. TRIGGER when the user has a regulation/policy/requirements doc (PDF or text) and wants to verify the live config matches it, audit a client's setup against compliance rules, "does my config satisfy this regulation", "check conformance / gap analysis", or close the loop after configuring with the create-* skills. SKIP for building config (sumsub-create-*) or for generating a config plan from a regulation (sumsub-analyze-regulation). For pure hygiene linting with no regulation, run this skill's bundled lint_config.py sub-pass directly.
Verify and release Three.js browser games. Combines playtest QA, automated bot playtests, mobile/responsive checks, production builds, preview verification, static-hosting base paths, debug gating, bundle review, screenshots, visual test harness decisions, packaged canvas-pixel inspection with measured metrics, console checks, and release risk reports.
Creates, audits, and consolidates Agent Skills that follow the Agent Skills open standard, and hands back a drafted or repaired skill with the review checklist for its branch applied. Use for "create a skill", "draft a SKILL.md", "package this expertise as a skill", "why does this skill never trigger", "audit this SKILL.md", "improve this skill", or merging overlapping skills into fewer deeper modules. Covers frontmatter, descriptions that trigger, progressive disclosure, completion criteria, and bundled scripts.
Test AI/LLM features that ship in your product. Covers prompt regression testing, response quality evaluation, tool-call validation, hallucination and RAG grounding checks, nondeterministic-output strategies, red-team/safety scans, eval frameworks, and agent-as-target injection (indirect injection via tool output / RAG / scan reports, self-propagating payloads, data exfiltration via an agent) plus a bundled detector for untrusted content. Use when: "test our LLM feature," "prompt regression test," "eval framework," "hallucination test," "RAG grounding," "nondeterministic output," "AI feature testing," "red-team our chatbot," "indirect prompt injection," "agent reading untrusted tool output," "production AI quality." Not for: using AI to generate your own test code — use ai-test-generation. Not for: classifying CI failures with AI — use ai-bug-triage. Not for: EU AI Act / GDPR conformity of an AI feature — use compliance-testing. Not for: canary/flag rollout of an AI feature — use testing-in-production. Related: ai-test-generation, ai-qa-review, api-testing, compliance-testing, security-testing, risk-based-testing, test-data-management.
AWS-curated copy-paste prompts for AI coding agents (MVP scaffolding, RAG chatbot with Claude on Bedrock, security baseline evaluation, cost anomaly detection, GPU quota requests, EKS deployment, Well-Architected review, etc.) plus downloadable installable agents (Multi-Account Transition Advisor, Bill Shock Preventer, Service Quota Agent, Bedrock Model Availability Agent, AWS DB Advisor). Use when the user asks for a prompt to do X on AWS, wants an installable agent for multi-account / cost monitoring / quota management / Bedrock model availability / database selection, or asks how to use AWS prompts. For migration intent (GCP to AWS, OpenAI/Gemini to Bedrock), route to the migration-to-aws skill. Do not use for: factual AWS Activate / programs / credits questions, learn articles, sample architectures, or for prompts that are not in the bundled `references/prompt-library/` tree.
AWS Startups reference content — Activate FAQ, credits guide, programs, partner offers, sample architectures, and hundreds of learn articles spanning generative AI, cloud architecture, cost optimization, security, fundraising, go-to-market, and real-world startup case studies. Use when the user asks factual questions about AWS Activate (eligibility, credits, programs, providers), wants a sample architecture or solution guide, or needs an AWS-curated learn article on a specific startup topic. For copy-paste AI prompts (RAG chatbot, MVP scaffold, security baseline, GPU quota, etc.), see the prompt-library-for-startups skill. Do not use for: account-specific lookups (credits balance, Activate membership status, application status), real-time event listings beyond the events stub, or content not present in the bundled `references/` tree.
Create FAIR-minded reproducibility bundles for materials simulations by collecting input/output file inventories, hashes, units, engine versions, structure identifiers, provenance, and NOMAD/OPTIMADE/Materials Project friendly metadata. Use before publishing, sharing, archiving, or handing simulation results to another agent.
Build an evidence-based competitive pricing strategy for ecommerce products. Use when a seller asks how to position a price against competitors, set regular and promotional prices, protect contribution margin, design bundles or price tiers, respond to competitor moves, or coordinate prices across Amazon, Shopify, TikTok Shop, Walmart, eBay, or other channels. Do not use for automated repricing implementation or claims of a mathematically proven optimal price without sufficient data.
Create, generate, refine, or critique bold playful app icons using a text-only visual system with measurable composition rules, compact palettes, mascot and dimensional style recipes, originality safeguards, and small-size quality checks. Use for app-icon concept development, production-ready image prompts, icon reviews, visual iteration, and iOS or Android handoff when no reference images should be bundled or required.
Create a COMPLETE, render-safe brand kit for ANY brand under brand/<id>/ — design.md + the editorial engine (editorial/) + an engine-agnostic voice lock + outlined logos + palette-driven static & dynamic backgrounds + device mockups + stickers + a brand board & sheet + a brand.json manifest. The kit is consumed by /use-brand, which turns it into any deliverable — website, slide deck, PDF, social/OG cards, marketing copy, dev tokens, or a video (handed to /make-video). Two modes - GENERATE from scratch via an interactive discovery flow + a multi-direction inspiration board the user picks in the browser, or IMPORT an existing brand by crawling its portal. Self-contained - every generator reads bundled templates in $SKILL_DIR/assets/, never a reference kit. Trigger - /make-brand.
Stand up your own fastCRW API server — single binary, Docker, or docker-compose with a bundled search-backend sidecar. Use when the user wants to run crw locally or on their own infra, configure renderers/proxies/ auth/LLM extraction, or understand the embedded vs proxy MCP modes.
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.