Results for “pe”

Reserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node clusters for large-scale training.

Disciplined diagnosis loop for hard bugs and performance regressions. Reproduce → minimise → hypothesise → instrument → fix → regression-test. Use when user says "diagnose this" / "debug this", reports a bug, says something is broken/throwing/failing, or describes a performance regression.

Deep research using Perplexity Sonar models via AIsa API. Provides synthesized answers with citations. Supports 4 models from fast to exhaustive deep research. Use when: the user needs web search, research, source discovery, or content extraction.

Disciplined diagnosis loop for hard bugs and performance regressions. Reproduce → minimise → hypothesise → instrument → fix → regression-test. Use when user says "diagnose this" / "debug this", reports a bug, says something is broken/throwing/failing, or describes a performance regression.

Modern React patterns and principles. Hooks, composition, performance, TypeScript best practices.

Modern React patterns and principles. Hooks, composition, performance, TypeScript best practices.

Guide users building a personal CRM from simple files to structured database.

The instruction to profile before optimizing survives because intuition about

Perform an HTTP POST with JSON body and return the response

副官记忆仓自动同步 — 运行 perception.py --once 完成 git pull + 感知引擎 + push

Cross-channel campaign performance analysis with blended CAC and budget recommendations

Deep research on a prospect company using WebSearch for outreach personalization

LLM Wiki — persistent markdown knowledge base that compounds across sessions (Karpathy model)

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

Shopify Admin & Storefront GraphQL APIs via curl. Products, orders, customers, inventory, metafields.

Redige acao reivindicatoria — o proprietario nao-possuidor reivindica a coisa de quem injustamente a possui ou detem (CC 1.228), com presuncao de propriedade plena e exclusiva (CC 1.231) e possibilidade de reivindicar de terceiro apos cancelamento do registro inexato (CC 1.247 par. unico), distinguindo a PETITORIA (fundada no dominio/titulo registrado) da POSSESSORIA (fundada na posse), respeitada a vedacao de alegar dominio na pendencia da possessoria (CPC 557). Use quando o operador disser acao reivindicatoria, reaver imovel, sou dono mas estao na posse, petitoria, ou reivindicar propriedade.

Publication Specialist - Writing, Review, Pre-registration & Quality Assurance Light VS applied: Avoids template-based writing + audience-specific message design Absorbed G3 (Peer Review Strategist), G4 (Pre-registration Composer), F1-F3 (Quality functions) capabilities Use when: writing abstracts, creating summaries, peer review response, pre-registration, reporting checklists, reproducibility Triggers: abstract, plain language, press release, summary, communication, peer review, revision, pre-registration, OSF, PRISMA, CONSORT, reproducibility

Review GitHub PRs and GitLab MRs with structured analysis including blast radius, security scanning, test coverage delta, breaking change detection, and performance impact.

Provides professional, employee-centered HR guidance and templates for hiring, onboarding, PTO, performance management, employee relations, and offboarding, with a strong emphasis on compliance and legal disclaimers.

Optimize content for AI Overviews, ChatGPT, Perplexity, and other AI search systems by improving GEO, AI citations, llms.txt readiness, crawler accessibility, and passage-level citability.

Review code for AEM Edge Delivery Services projects, validating code quality, performance, accessibility, and adherence to EDS best practices during self-review or pull request review.

Evaluates Power BI data model architecture, relationships, storage modes, and performance to identify optimization opportunities and ensure adherence to best practices.

Learn to combine DeFi protocols safely: Uniswap V4 hooks, Aave flash loans, ERC-4626 vaults, Aerodrome on Base, GMX/Pendle on Arbitrum, and dominant DEX per L2.

Automate Google Search Console tasks including search performance analysis, URL inspection, sitemap management, and indexing status checks via Composio's Rube MCP toolkit.

Orchestrates the full academic research pipeline from exploration to final manuscript, coordinating research, writing, integrity verification, peer review, revision, and finalization stages with user confirmation checkpoints.

Rapidly classify malware samples against known family signatures using YARA rules, covering rule writing, scanning, and integration with analysis pipelines.

Elevate from a low-privilege user account to root access on a compromised Linux system by exploiting misconfigurations, vulnerable services, kernel exploits, and weak permissions.

Tests Android inter-process communication (IPC) through intents for vulnerabilities including intent injection, unauthorized component access, broadcast sniffing, pending intent hijacking, and content provider data leakage.

Simulate an insider threat or post-breach attacker to identify lateral movement paths, privilege escalation vectors, and sensitive data exposure within a corporate network.

Orchestrates multi-stage attack-path planning and execution across reconnaissance, initial access, privilege escalation, lateral movement, and impact assessment for authorized penetration testing.

End-to-end firmware and IoT penetration testing pipeline following OWASP FSTM methodology. Extracts, emulates, and exploits router, camera, and smart-home firmware using binwalk, EMBA, Firmadyne, and AFL++.

Optimizes Lightning Web Components for slow initial load, heavy rerenders, large-list rendering, payload reduction, and lazy instantiation choices such as lwc:if, tabs, or dynamic components.

Applies Brazil's LGPD framework to assess data processing legal bases, align with ANPD expectations, and classify personal data for privacy compliance.

Optimize content to be cited by AI search systems and LLMs, including AI Overviews, ChatGPT, Perplexity, Claude, and Gemini, through structure, authority, and presence improvements.

Runs a structured code review using four parallel subagents covering style, correctness, security, and performance, then synthesizes findings by severity and gives an approve/needs-changes recommendation.

Embody the voice and methodology of AI researcher Fei-Fei Li to enhance technical content with data-centric and human-centered perspectives.