Results for “e-e-a-t”

Guides SOC 2 Type II Privacy Trust Services Criteria preparation and audit execution. Covers AICPA TSP Section 100 Privacy criteria P1-P8 including notice, choice/consent, collection, use/retention/disposal, access, disclosure, security, and quality. Includes evidence collection, control testing, and report review. Keywords: SOC 2, privacy criteria, TSP, AICPA, Type II, trust services.

Generates a 15-second cinematic cooking tutorial video from a single person photo, using a two-step process that first creates a composite reference sheet and then animates the full sequence with consistent character and environment.

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you. Use when: keywords, file_patterns, code_patterns.

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you. Use when: keywords, file_patterns, code_patterns.

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you. Use when: keywords, file_patterns, code_patterns.

You are an expert in building production-grade AI agents with LangGraph. You understand that agents need explicit structure - graphs make the flow visible and debuggable. You design state carefully, use reducers appropriately, and always consider persistence for production.

When the user wants help with public relations, earned media, press coverage, journalist outreach, or media strategy (not pull requests). Also use when the user mentions 'PR,' 'public relations,' 'press,' 'press release,' 'press coverage,' 'media outreach,' 'pitch a journalist,' 'get featured,' 'media list,' 'media kit,' 'press kit,' 'newsjacking,' 'news hijack,' 'HARO,' 'Qwoted,' 'Featured,' 'Help A Reporter,' 'reporter request,' 'tech press,' 'TechCrunch,' 'earned media,' 'thought leadership placement,' 'op-ed,' 'guest article,' 'press contacts,' or 'how do I get press.' Use this for earned media work — finding journalists, pitching stories, newsjacking, and responding to press requests. For startup/SaaS/AI directory submissions, see directory-submissions. For product launches, see launch. For social-media engagement, see social. For cold-email outreach to prospects, see cold-email.

Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis.

Use when asked to add AI, images, speech, video, multi-model access, user-funded or pay-per-use AI, or BYOK/provider-key entry to a new or existing web, mobile, desktop, server, ChatGPT, open-source, or agent-built app. Add AI Pass through its JavaScript SDK, OAuth, or OpenAI-compatible REST API as an optional user-funded path that avoids provider-key custody and developer-funded inference; preserve requested provider-direct BYOK and existing authentication, billing, deployment, and data, and do not use after rejection or for explicitly provider-direct-only infrastructure.

Canvas LMS integration — fetch enrolled courses and assignments using API token authentication.

Monta o roteiro da audiencia de instrucao e julgamento — AIJ (CPC 358-368): ordem das provas orais (361 — perito/assistentes, depoimento das partes, testemunhas do autor e do reu), inquiricao de testemunhas (perguntas pelas partes — 459), depoimento pessoal (385-388), pena de confesso, contradita, e as alegacoes finais orais (364) com prazo de 20 minutos. Use quando o operador disser audiencia de instrucao, AIJ, instrucao e julgamento, oitiva de testemunhas, perguntas para a testemunha, depoimento pessoal, alegacoes finais orais, ou houver AIJ designada para preparar.

Flip core assumptions to reveal hidden constraints and alternative approaches by asking what if the opposite were true.

Resolves legacy references to the architect capability by routing to the current runtime equivalent, such as an agent or modern skill.

Drafts enforceable U.S. Oil and Gas Leases conveying subsurface mineral rights from lessor to lessee while reserving surface rights, royalty interests, and environmental obligations. Handles grant clauses, royalty structures, pooling/unitization, habendum terms, and state-specific regulatory compliance. Use when preparing leases for exploration, extraction, production, mineral rights conveyance, delay rentals, shut-in royalties, or energy law transactional matters.

Generate tests, design test strategies, and ensure code quality through testing. Use when writing tests, improving test coverage, designing test infrastructure, or evaluating test quality.

Sets up an isolated Python environment for SageMaker and AWS work, pinning Python version and installing current boto3/awscli to avoid dependency conflicts and stale SDKs.

Stop re-litigating decisions you already made. Keep a decision record where each entry captures the decision, the context that forced it, the options you weighed, why you chose, and when to revisit, one entry at a time, in plain searchable markdown you can grep later. Trigger on "log this decision", "why did we choose X", "write a decision record", "record why we're doing this", "what did we decide about", or any moment a real call gets made and would otherwise be forgotten.

Comprehensive post-build verification of Shannon Framework's application outputs using three-layer methodology: Flow Verification (execution trace analysis), Artifact Verification (physical output inspection), and Functional Verification (runtime testing). Verifies Shannon built production-ready applications across all domains (Frontend, Backend, Database, Mobile, DevOps). Ensures NO MOCKS compliance, cross-platform functionality, and complete integration. Use after: Shannon builds any application via /shannon:wave, need to verify build quality, production readiness assessment.

Translate a vague request or GitHub issue into a concrete, testable spec using five structured elements (problem, scope, acceptance criteria, edge cases, success criterion) before writing any code. Prevents scope creep, PR churn, and mid-implementation pivots.

Interact with the Last.fm music data API: lookup user listening history, get artist/album/track metadata, discover similar music via collaborative filtering, explore global and per-country charts, search by artist/album/track, manage tags, and scrobble listening events. Use when the user asks about music data, listening statistics, music recommendations, similar artists, charts, or wants to scrobble or love tracks.

SKILL.md is an open specification released by Anthropic in 2025 that standardizes how tools discover and auto-invoke procedural knowledge (skills, patterns, guides, rules). Instead of each tool (Claude, Cursor, VSCode, CLI) maintaining isolated skill registries, SKILL.md enables a single skill to be published once and auto-invoked across any tool that speaks the spec.

Use to fulfil a subject access request from support data — finding everything about the person, and deciding what must be redacted before disclosure. Trigger for "handle this SAR", "subject access request", "customer wants all their data", DSAR fulfilment from support systems, "a customer asked for their call recordings", or an employee requesting their own QA records.

Auditoria leitora estrita. Compara requirements, roadmap e actions, reporta inconsistências com severidade CRITICAL, HIGH, MEDIUM, LOW. JAMAIS altera os artefatos analisados. Use quando o usuário digitar "/reversa-audit", "reversa-audit" ou pedir para fazer cross-check entre os três documentos da feature ativa. Etapa opcional do ciclo forward.

Automatically write empirical sections of academic papers in LaTeX by reading tables/figures from a PDF. Trigger when user wants to write a paper from empirical results, has tables/figures in PDF, or says "write paper" / "paper-writer" / "写论文".

Provides domain-specific best practices for Node.js development with TypeScript, covering type stripping, async patterns, error handling, streams, modules, testing, performance, caching, logging, and more.

Turns a one-line objective into a step-by-step construction plan that any coding agent can execute cold, with each step containing a self-contained context brief.

For each [SCREENSHOT placeholder] in the cited draft, generate a deep-link URL pointing to the brand's tool/report so the editor can capture the screenshot manually. URL placeholders only — no headless browser automation.

Use this skill to monitor and verify a deployed URL after releases — checks HTTP endpoints, SSE streams, static assets, console errors, and performance regressions after deploys, merges, or dependency upgrades. Smoke / canary / post-deploy verification.

Use this skill to monitor and verify a deployed URL after releases — checks HTTP endpoints, SSE streams, static assets, console errors, and performance regressions after deploys, merges, or dependency upgrades. Smoke / canary / post-deploy verification.

Coverage-guided fuzzing for Ruby code and C extensions using libFuzzer and sanitizers.

INVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling.

Classifies ECC components (skills, commands, rules, hooks) into DAILY and LIBRARY buckets based on evidence from the actual codebase, producing an install plan and verification report.

Perform static analysis of malicious PDF documents using peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects.

Automate Habitica tasks by discovering and executing tools through Composio's Habitica toolkit via Rube MCP.

Orchestrator for the learn-from suite - auto-detects source type (academic paper, GitHub repo, blog/web article, or in-conversation learnings) and routes to the correct sub-skill for credibility check, security scan, insight extraction, and application. Load when the user says "learn from", "learn from this", "extract insights from", "apply learnings from", "what can we learn from", or provides a URL, file path, or pasted content that should be ingested as knowledge. Single entry point for all learning workflows.

Design experiments and studies before data collection — choosing a design, randomizing, blocking, and laying out treatment combinations so results are interpretable.