Use when after generating a peak table from XCMS peakTable() output in an untargeted LC-MS metabolomics workflow, if your experimental design includes quality control (QC) samples…
Use when when you have extracted peak tables from multiple independent LC/HRMS analysis batches (each with retention time and m/z values) and need to align peaks across batches to…
Use when a task asks to create, maintain, inspect, or apply a PEEK-style context map, orientation cache, reusable context map, or bounded memory for repeated work over the same…
Structured manuscript/grant review with checklist-based evaluation. Use when writing formal peer reviews with specific criteria methodology assessment, statistical validi — from…
Structured manuscript/grant review with checklist-based evaluation. Use when writing formal peer reviews with specific criteria methodology assessment, statistical validi — from…
Systematic peer review toolkit. Evaluate methodology, statistics, design, reproducibility, ethics, figure integrity, reporting standards, for manuscript and grant review — from…
Systematic peer review toolkit. Evaluate methodology, statistics, design, reproducibility, ethics, figure integrity, reporting standards, for manuscript and grant review — from…
Structured peer review of manuscripts and grants. 7-stage evaluation: initial assessment, section review, statistical rigor, reproducibility, figure integrity, ethics, writing.
Use when reviewing an assembled paper draft for ML or computational biology venues. Covers persona calibration (overworked, not-nice senior reviewer), 5-step process (first-pass…
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1 — from…
Prompt Engineering Instructional Language (PEIL) - generates optimised system prompts for AI agents and LLMs.
Fetch and report Peloton cycling workout statistics. Use when the user wants to see their Peloton workout data, weekly cycling stats, ride history, or performance metrics.
Hardware-agnostic quantum ML framework with automatic differentiation. Use when training quantum circuits via gradients, building hybrid quantum-classical models, or need — from…
Hardware-agnostic quantum ML framework with automatic differentiation. Use when training quantum circuits via gradients, building hybrid quantum-classical models, or need — from…
Cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry.
Hardware-agnostic quantum ML framework with automatic differentiation. Use when training quantum circuits via gradients, building hybrid quantum-classical models, or need — from…
Hardware-agnostic quantum ML framework with automatic differentiation. Use when training quantum circuits via gradients, building hybrid quantum-classical models, or need — from…
Core implementation skill for PennyLane-first hybrid quantum neural network models.
Penrose is an open-source platform that creates beautiful mathematical and scientific diagrams from plain text notation.
Research LinkedIn professional profiles and public business-contact data, including email/phone lookup, people search, and YouTube channel business-email discovery.
Person lookup, identity verification, background research, and people finder tools. Use when the user mentions: people search, person lookup, find person, background check,…
Use when packaging an IEEE PerCom sensing artifact and dataset for reproducibility and any badging (IEEE Open Research Objects / Results Reproduced, IEEE DataPort or Zenodo…
Use when drafting an IEEE PerCom rebuttal after being invited following the initial reviews, covering the bounded single-round reply that answers explicit reviewer questions,…
Use when designing or auditing IEEE PerCom empirical evaluations, covering real human subjects, leave-one-subject-out / cross-subject evaluation, F1 and event-level metrics on…
Use when reasoning about how an IEEE PerCom research submission is evaluated, covering double-blind review, the three-TPC-member model, the early-rejection stage, the single-round…
Use when auditing an IEEE PerCom research-track submission for HotCRP readiness, covering the mandatory paper-registration step, the IEEEtran 9+1 two-column page budget,…
Long-context MoE training guidance for Megatron Bridge. Covers CP sizing, selective recompute, dispatcher choices, and practical patterns from DSV3, Qwen3, and Qwen3-Next — from…
Practical guidance for training MoE VLMs in Megatron Bridge. Compares FSDP and 3D-parallel approaches, using rounded lessons from Qwen3-VL, Qwen3-Next, and other multimod — from…
Code instrumentation for timing workloads. Two scenarios: (1) Training loop — inject manual timing to report per-iteration latency, throughput (samples/sec), and data load time.
Realizar una evaluación de Validación de Sistemas Informatizados (CSV) siguiendo la metodología GAMP 5.
Performance benchmarking expertise for shell tools, covering benchmark design, statistical analysis (min/max/mean/median/stddev), performance targets (<100ms, >90% hit rate),…
Use when you have a pretrained model with documented performance on a bounded input domain (e.g., molecules ≤19 heavy atoms, sequences <1000 bp) and you need to establish whether…
Analyze a specific performance regression against a defined baseline and workload using profiles, benchmarks, traces, logs, or reproducible experiments, covering algorithms, I/O,…
Estimate causal effects from existing data. Use when fitting or interpreting DiD, ITS, synthetic control, regression discontinuity, or other treatment-effect analyses, including…
Automate network traffic analysis using tshark and pyshark for protocol statistics, suspicious flow detection,
How Brock produces PerformOS website builds — research, legal, strategy, markdown deliverables. NEVER deploys. NEVER pushes Vercel or GitHub.
Archivado web permanente de URLs — preservar contenido web para research y referencias académicas.
Design a lesson that embeds PERMA wellbeing elements alongside academic learning objectives. Use when planning lessons that intentionally support both content mastery and student…
Use when after running PERMANOVA on distance matrices derived from FT-ICR MS metabolite peak intensities or other high-dimensional compositional data, when p-values indicate…
Use when you have normalized peak intensities or abundance matrices from mass spectrometry (e.
Perform AI-powered web searches using a Perplexica instance. Returns a synthesized answer with cited sources.
Web search and research using Perplexity AI. Use when user says "search", "find", "look up", "ask", "research", or "what's the latest" for generic queries.
Deep search via Perplexity API. Three modes: search (quick facts), reason (complex analysis), research (in-depth reports). Returns AI-grounded answers with citations.
Use Perplexity API for web-grounded AI search and research. Use when user needs up-to-date information, multi-step reasoning with web citations, exhaustive research with — from…
Use Perplexity API for web-grounded AI search and research. Use when user needs up-to-date information, multi-step reasoning with web citations, exhaustive research with — from…
Web search and research using Perplexity AI. Use when user says "search", "find", "look up", "ask", "research", or "what's the latest" for generic queries.
Execute Perplexity multi-turn research sessions and batch query pipelines. Use when conducting in-depth investigations, generating research briefs, or processing multiple related…
Deep research using Perplexity AI. Comprehensive reports with citations and analysis.
Paid research assistant with real-time web search. Use when user asks "what's the latest", "current pricing for", "recent news about", "search the web for", "fact check this",…
Système de recherche externe via Perplexity Pro (human-in-the-loop). Détecte le besoin de recherche, génère des prompts optimisés, indique si Deep Research est recommandé.
Use when conducting web research with Perplexity API - covers authentication, search strategies, structured output generation, and integration patterns for Claude-interpretable…
Complex research requiring deeper analysis, multi-step reasoning, and sophisticated source evaluation for technical, academic, or specialized domain queries needing expert-level…
Highest level of research and reasoning capabilities for complex decision-making with significant consequences, strategic planning, technical architecture decisions,…
Use Perplexity API for web-grounded AI search. Use when user needs up-to-date information with source citations, factual queries about current events, or research-style answers.
AI-powered web search and research using the Perplexity API (Sonar models). Performs deep web research with citations, fact-checking, competitive analysis, market research, and…
Search the web using Perplexity's Search API for ranked, real-time web results with advanced filtering.
Queries Perplexity AI via sonar/sonar-pro/sonar-deep-research/sonar-reasoning-pro models. Use when conducting cited web research, deep technical reports, or complex reasoning…
Leverage Perplexity CLI for web research, deep reasoning, and independent validation. Use when you need current/external knowledge, want a second opinion before decisions, or want…
Perform web searches via Perplexity WebUI using Playwright automation. Extract answers, sources, and citations for research tasks.
Generates a structured biographical research plan for a specific person, listing the public-record sources to check, the biographical questions to answer, and the verification…