Help manage the recruiting pipeline from sourcing through offer acceptance.

Synthesize user research from interviews, surveys, and feedback into structured insights. Use when you have a pile of interview notes, survey responses, or support tickets to make sense of, need to extract themes and rank findings by frequency and impact, or want to turn raw feedback into roadmap recommendations.

Reference skill for Zoom AI Services Scribe. Use after routing to a transcription workflow when handling uploaded or stored media, Build-platform JWT auth, fast mode transcription, batch jobs, or transcript pipeline design.

Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for single-cell analysis.

Find leads matching criteria and bulk-add them to an Apollo outreach sequence. Handles enrichment, contact creation, deduplication, and enrollment in one flow.

Combines search results from multiple sources into coherent, deduplicated answers with source attribution. Handles confidence scoring based on freshness and authority, and summarizes large result sets effectively.

Identify 3-5 potential customer segments with demographics, JTBD, and product fit analysis. Use when exploring market segments, identifying target audiences, evaluating new markets, or learning how to segment a market.

Segment users from feedback data based on behavior, JTBD, and needs. Identifies at least 3 distinct user segments. Use when segmenting a user base, analyzing diverse user feedback, or building a segmentation model.

Define and design a product metrics dashboard with key metrics, data sources, visualization types, and alert thresholds. Use when creating a metrics dashboard, defining KPIs, setting up product analytics, or building a data monitoring plan.

Maintain a free-form scratchpad of decisions, extracted values, and open questions so context pruning doesn't lose anything you still need.

Development workflows for the playwright-cli repository. Use when the user asks about rolling dependencies, releasing, or other repo maintenance tasks.

Performs high-density targeted extraction across 10+ videos to map semantic landscapes, consensus, and controversies.

Transforms raw metrics and analysis into visual charts and published, shareable HTML reports using Google Cloud Storage.

Deconstructs high-performing or viral videos to extract actionable creative insights from metadata and transcript.

Use when you need to ask questions about a codebase or understand code using a knowledge graph

Launch the interactive web dashboard to visualize a codebase's knowledge graph

Analyze a codebase to produce an interactive knowledge graph for understanding architecture, components, and relationships

Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying reranking, and evaluating retrieval quality. Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, context augmentation, similarity search, or embedding-based indexing.

Real DCF (Discounted Cash Flow) model creation for equity valuation. Retrieves financial data from SEC filings and analyst reports, builds comprehensive cash flow projections with proper WACC calculations, performs sensitivity analysis, and outputs professional Excel models with executive summaries. Use when users need to value a company using DCF methodology, request intrinsic value analysis, or ask for detailed financial modeling with growth projections and terminal value calculations.

Build macroeconomic and rates dashboards combining macro indicators, yield curves, inflation breakevens, and swap rates. Use when monitoring macro conditions, analyzing yield curve shape, decomposing real vs nominal rates, assessing policy rate expectations, or evaluating financial conditions.

REST API server and MCP protocol integration

Chunking, embeddings, and RAG pipeline integration

Plugin architecture, registration, and trait patterns

Search topic or arXiv paper ID: $ARGUMENTS

Search query: $ARGUMENTS

Search and progressively read open-access academic papers through DeepXiv. Use when the user wants layered paper access, section-level reading, trending papers, or DeepXiv-backed literature retrieval.

End-to-end autonomous research workflow for: **$ARGUMENTS**

Refine and concretize: **$ARGUMENTS**

State-space model with O(n) complexity vs Transformers' O(n²). 5× faster inference, million-token sequences, no KV cache. Selective SSM with hardware-aware design. Mamba-1 (d_state=16) and Mamba-2 (d_state=128, multi-head). Models 130M-2.8B on HuggingFace.

RNN+Transformer hybrid with O(n) inference. Linear time, infinite context, no KV cache. Train like GPT (parallel), infer like RNN (sequential). Linux Foundation AI project. Production at Windows, Office, NeMo. RWKV-7 (March 2025). Models up to 14B parameters.

Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.

Trains large language models (2B-462B parameters) using NVIDIA Megatron-Core with advanced parallelism strategies. Use when training models >1B parameters, need maximum GPU efficiency (47% MFU on H100), or require tensor/pipeline/sequence/context/expert parallelism. Production-ready framework used for Nemotron, LLaMA, DeepSeek.

Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.

Provides guidance for experiment tracking with SwanLab. Use when you need open-source run tracking, local or self-hosted dashboards, and lightweight media logging for ML workflows.

Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source

Analyze Chromium-based browser artifacts using Hindsight to extract browsing history, downloads, cookies, cached

'Analyzes malicious VBA macros embedded in Microsoft Office documents (Word, Excel, PowerPoint) to identify download

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

Use Sysinternals Autoruns to systematically identify and analyze malware persistence mechanisms across registry

Parse Office 365 Unified Audit Logs via Microsoft Graph API to detect email forwarding rule creation, inbox delegation,

'Identifies and unpacks UPX-packed and other packed malware samples to expose the original executable code for

Monitor and analyze ransomware group data leak sites (DLS) to track victim postings, extract threat intelligence

Identify ransomware network indicators including C2 beaconing patterns, TOR exit node connections, data exfiltration

Investigate supply chain attack artifacts including trojanized software updates, compromised build pipelines,

'Parses and analyzes the Windows Amcache.hve registry hive to extract evidence of program execution, application

Parse Windows Prefetch files using the windowsprefetch Python library to reconstruct application execution history,

Extract and analyze Windows Registry hives to uncover user activity, installed software, autostart entries, and

'Automates the enrichment of raw indicators of compromise with multi-source threat intelligence context using

Extract and catalog attack patterns from cyber threat intelligence reports into a structured STIX-based library

'Builds an automated malware submission and analysis pipeline that collects suspicious files from endpoints and