Results for “pe”

Build production-grade stateful AI agents using LangGraph, covering graph construction, state management, persistence, and human-in-the-loop patterns.

Debug local web or Electron apps interactively using a persistent Playwright session with js_repl, enabling fast iterative UI debugging and visual QA.

Perform language and framework-specific security best-practice reviews, write secure-by-default code, and generate prioritized vulnerability reports with suggested fixes.

Provides canonical patterns for MSBuild item groups: Include/Remove/Update semantics, item metadata, batching with %(Metadata), transforms, per-item filtering, and cross-product batching pitfalls.

Generate personalized status briefings by pulling from configured data sources like GitHub, email, Teams, and Slack, then synthesizing updates in your own communication style.

Creates and maintains a personal context portfolio of structured markdown files describing identity, role, team, tools, communication style, and preferences.

Builds production-ready frontend pages with premium UI design, cinematic animations, AI-generated media assets, persuasive copywriting, and generative art.

Automate AI video generation workflows: browse avatars and templates, generate personalized videos, track processing status, and retrieve shareable URLs via the Composio MCP integration.

Deploy and serve AI/ML models on Modal's serverless cloud platform with on-demand GPUs, autoscaling containers, persistent storage, and scheduled jobs.

Perform exact symbolic mathematics in Python — algebra, calculus, equation solving, symbolic linear algebra, and code generation via lambdify or LaTeX.

Enumerate Active Directory service accounts, request Kerberos TGS tickets, and crack them offline to assess password strength and privilege escalation paths.

Perform Kerberoasting attacks using Impacket's GetUserSPNs to extract and crack Kerberos TGS tickets for Active Directory service accounts.

Analyze network packet captures (PCAP/PCAPNG) using Wireshark, tshark, tcpdump, and Python to reconstruct communications, extract files, and identify malicious traffic.

Audits Docker host and daemon configuration against the CIS Docker Benchmark, generating compliance reports with pass/fail/warn results and remediation steps.

Discover and inventory ICS/OT assets using Claroty xDome, including passive monitoring, active queries, and integration with CMDB tools.

Analyze WSDL definitions and test SOAP endpoints for XML injection, XXE, WS-Security bypass, and SOAPAction spoofing.

Prioritizes and remediates endpoint vulnerabilities by importing scan results, applying patches via WSUS/SCCM/Intune, making configuration changes, and validating fixes.

Investigate AWS account compromises by querying CloudTrail logs to reconstruct attacker activity, identify compromised credentials, and analyze API call patterns.

Enumerate Active Directory relationships and identify attack paths from compromised users to Domain Admin using BloodHound and SharpHound.

Automates the full lifecycle of SSL/TLS certificates—requesting, issuing, deploying, monitoring, renewing, and revoking—using Python and ACME protocol tools.

Perform causal interventions on PyTorch models using pyvene's declarative framework for causal tracing, activation patching, and interchange intervention training.

Finds exploitable vulnerabilities in codebases through a structured multi-phase audit covering recon, hunting, validation, and reporting.

Sets up persistent memory for AI agents on an OpenClaw gateway by installing a plugin that records observations and injects context into system prompts.

Checks cloud sync status for claude-mem memories and performs first-time setup by collecting credentials, migrating legacy configuration, and restarting the worker.

Search and retrieve past work from claude-mem's persistent cross-session memory database using a three-layer workflow: search, timeline, and fetch.

Diagnoses why someone knows what to do but doesn't do it, using Adlerian psychology to identify root causes like procrastination, perfectionism, or avoidance.

Performs deterministic, LLM-first SEO audits for websites, blog posts, and GitHub repositories, producing prioritized, confidence-labeled fixes.

Provides Kelvin Garr's fixed AICA brand identity and Next.js 14 implementation guide for building his personal sites and AICA-branded projects.

Designs, reviews, and troubleshoots Salesforce Flows from an admin perspective, covering flow type selection, bulkification, fault handling, and error diagnosis.

Maps FHIR R4 clinical resources (Patient, Observation, Condition, CarePlan, CodeableConcept) to Salesforce Health Cloud objects, including prerequisite configuration and cardinality handling.

Trains machine learning models on genomic interval data from BED files, including region embeddings, single-cell ATAC-seq analysis, and consensus peak building.

Performs constraint-based metabolic modeling with COBRApy: FBA, FVA, gene knockouts, flux sampling, and SBML model handling for systems biology and metabolic engineering.

Process and analyze mass spectrometry data with the Matchms Python library, including importing spectra, filtering peaks, calculating similarity scores, and building reproducible analytical workflows.

Define el protocolo de mentor senior para LEND.AI: gestiona el perfil del usuario, enseña conceptos con voz rioplatense y actualiza la documentación del proyecto.

Provides comprehensive guidance for performing symbolic mathematics with SymPy, including algebra, calculus, equation solving, linear algebra, physics calculations, and code generation.

Provides expert-level guidance for Rust 1.75+ development, covering async programming, advanced type system features, performance optimization, and production-ready systems programming.