Results for “pe”

Create and scaffold plugin directories for Codex with a required `.codex-plugin/plugin.json`, optional plugin folders/files, valid manifest defaults, and personal-marketplace entries by default. Use when Codex needs to create a new personal plugin, add optional plugin structure, generate or update marketplace entries for plugin ordering and availability metadata, or update an existing local plugin during development with the CLI-driven cachebuster and reinstall flow.

Audit agent skills, plugins, prompts, manifests, scripts, dependencies, and bundled assets for provenance, prompt-injection, permission, execution, exfiltration, persistence, and update risk. Use when evaluating a third-party skill before installing, enabling, updating, publishing, or distributing it; reviewing an untrusted SKILL.md, agent configuration, MCP integration, archive, or repository; comparing a package with a known-good version; or investigating unexpected tool, network, credential, or filesystem behavior.

Use to build a defensible cost per contact and cost to serve by driver, channel or customer segment, for automation business cases and budget decisions. Trigger for "what does a ticket cost us", "cost per contact", "what would automating this save", "cost to serve by segment", building a business case for a bot or a process change, or a savings claim that looks too good.

Optimize MATLAB design files for GPU Coder to generate faster CUDA code. Iteratively profiles, rewrites, and benchmarks until performance targets are met or diagnostics are resolved. Use when asked to: optimize for GPU Coder, improve GPU codegen performance, profile generated GPU/CUDA code, profile GPU MEX, fix gpuPerformanceAnalyzer diagnostics, speed up GPU MEX, reduce GPU memory transfers, improve kernel parallelism, rewrite MATLAB for CUDA, or run gpuPerformanceAnalyzer.

Generate operational runbooks from a service name — deployment, incident response, maintenance, and rollback workflows. Templated structure customizable per environment.

Provides patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.

Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend.

Configures Python projects with modern tooling (uv, ruff, ty) for new projects, scripts, or migrations from legacy tools.

Identify and exploit insecure deserialization vulnerabilities in Java, PHP, Python, and .NET applications during authorized penetration tests.

Enumerate AWS resources and identify misconfigurations using ScoutSuite to generate interactive security reports.

Perform efficient pandas DataFrame operations for data analysis, manipulation, and transformation with production-grade patterns.

Authorized assessment of federated identity systems covering SAML, OIDC, and OAuth2 flows, SSO misconfigurations, and token confusion issues.

Strengthen interfaces against edge cases, errors, internationalization issues, and real-world usage scenarios that break idealized designs.

Identify opportunities to add moments of joy, personality, and unexpected polish that transform functional interfaces into delightful experiences.

Optimizes personal and business banking by assessing scenarios, structuring accounts, eliminating fees, and maximizing interest rates.

Deploy and scale Python AI/ML workloads on Modal's serverless cloud, including GPU compute, web endpoints, scheduled jobs, and persistent storage.

Provides detailed, structured image descriptions covering objects, people, colors, text, and scene context, with an overview and interpretation.

Send WhatsApp messages to other people or search and sync WhatsApp history via the wacli CLI, used only on explicit request.

Deploy, monitor, and manage Azure services with battle-tested patterns covering cost, security, networking, performance, monitoring, IaC, and identity.

Provides expert guidance for building modern C++20/23 applications, covering template metaprogramming, memory optimization, concurrency, and build tooling.

Maintains a working memory file for AI agents, tracking active goals, completed tasks, performance metrics, blockers, and key decisions across sessions.

Performs astronomical data analysis with astropy: coordinate transformations, unit conversions, FITS file handling, cosmological calculations, time systems, tables, and WCS.

Runs independent AI CLI reviewers over phase plans and merges their feedback into a REVIEWS.md file.

Checks for GSD updates via npm, shows the changelog between installed and latest versions, and performs a clean reinstall after user confirmation.

Embody the voice and teaching style of Zen master Dogen, using paradox and concrete imagery to answer questions and guide reflection.

Embody Plato's voice and methodology to engage in dialectical, ascending philosophical dialogue using allegories and the Theory of Forms.

Embody the voice and methodology of comedian Ali Wong, applying her explicit, strategic honesty and signature techniques to any topic.

Emulates Andrew Ng's teaching style to explain AI and machine learning concepts with structured, practical guidance.

Embody the voice and methodology of Confucius to analyze situations through virtue, relationships, and self-cultivation, offering sage-like guidance.

Embody the contemplative voice of Ibn Arabi to explore metaphysical questions, paradoxes, and spiritual transformation through his core concepts.

Performs financial ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction for strategic decision-making.

Performs mutations on plyr.fm such as uploading, deleting, and liking tracks using the CLI, while the MCP server remains read-only.

Quantize LLMs to 8/4/3/2/1-bit precision without calibration data, using multiple backends and HuggingFace/vLLM integration.

Visualize training metrics, debug models with histograms, compare experiments, visualize model graphs, and profile performance with TensorBoard.

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.

Master enterprise-grade Scala development with functional programming, distributed systems, and big data processing. Expert in Apache Pekko, Akka, Spark, ZIO/Cats Effect, and reactive architectures.