Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms.
Score 70/100
Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms.
Score 70/100
Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing…
Score 70/100
Use when the user provides a text file (PDF, DOCX, MD, TXT) written in Spanish that was generated by AI and needs to be rewritten to sound naturally human-written, for research…
Score 70/100
Use when the user provides a text file (PDF, DOCX, MD, TXT) written in Spanish that was generated by AI and needs to be rewritten to sound naturally human-written, for research…
Score 70/100
Use when the user provides a text file (PDF, DOCX, MD, TXT) written in Spanish that was generated by AI and needs to be rewritten to sound naturally human-written, for research…
Score 70/100
Use when the user provides a text file (PDF, DOCX, MD, TXT) written in Spanish that was generated by AI and needs to be rewritten to sound naturally human-written, for research…
Score 70/100
Используется для глубокой редактуры и «очеловечивания» уже написанного машинного текста академической направленности, снимая паттерны ИИ с сохранением исходного смысла.
Score 70/100
Detect and rewrite AI-like Chinese text with a practical workflow for scoring, humanization, academic AIGC reduction, and style conversion.
Score 70/100
Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy).
Score 70/100
Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy).
Score 70/100
Identify command-and-control beaconing patterns in network traffic by applying statistical frequency analysis,
Score 70/100
Gracefully pause mid-session — writes a handoff note (current hypothesis, next planned step, mid-edit files, uncommitted work strategy) to .hv/handoff/.md so /hv-resume in…
Score 70/100
Throwaway feasibility experiment on a dedicated git branch — answers a specific question without polluting main or the backlog.
Score 70/100
Brainstorm a project's vision and break it into milestones — Socratic discovery, web research, deliberate challenge, then write MILESTONES.md and per-milestone detail files.
Score 70/100
Hydrological modelling expert who develops, maintains, and critically reviews forecast models within SAPPHIRE.
Score 70/100
Assess overall hype levels across AI topics by comparing lab researcher enthusiasm against critic skepticism.
Score 70/100
Benchmark command-line programs with statistical rigor using Hyperfine. Performs warmup runs, detects outliers, exports results in JSON/CSV/Markdown, and supports parameterized…
Score 70/100
Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g.,…
Score 70/100
LLM-driven hypothesis generation/testing on tabular data. Three methods: HypoGeniC (data-driven), HypoRefine (literature+data), Union.
Score 70/100
Write testable product hypotheses with clear success metrics, baselines, targets, and timeframes. Produces a structured hypothesis statement, supporting evidence, a validation…
Score 70/100
Когда не знаешь почему что-то происходит — выдвигает 4-6 конкурирующих объяснений и систематически убивает ложные через kill-тесты и confidence scores.
Score 70/100
Structured code debugging through hypothesis formation and falsification planning. Use when diagnosing bugs, unexpected behaviour, or system failures where the root cause is…
Score 70/100
Manages hypothesis lifecycle, enforces validation criteria, time budgets, and confidence scoring rules.
Score 70/100
Investigate build failures, test errors, runtime crashes, or unexpected behavior through systematic minimal reproduction, multi-hypothesis testing, and evidence-based…
Score 70/100
Identify, structure, and catalog testable hypotheses from pilot signals and strategic inputs. Use when transforming unstructured idea lists or pilot objectives into a formal…
Score 70/100
Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose…
Score 70/100
Generate testable hypotheses. Formulate from observations, design experiments, explore competing explanations, develop predictions, propose mechanisms, for scientific inquiry…
Score 70/100
Evaluate, propose, or critique a scientific hypothesis or testable claim using the lab's type-aware gating pipeline.
Score 70/100
Custom Hypothesis strategy patterns for property-based testing. Activated when designing test data generators or property tests.
Score 70/100
Guide selection and interpretation of statistical hypothesis tests. Use when: (1) Choosing appropriate test for research data, (2) Checking assumptions before analysis, (3)…
Score 70/100
Take any claim and design + execute a complete research protocol to test it. Apply scientific method automatically: design study, gather data, run analysis, provide verdict with…
Score 70/100
Retrieve and update company hypotheses in Primr. Use when the user asks what is already known, wants to validate a claim, or wants to persist a research finding.
Score 70/100
Comprehensive guide to writing testable product hypotheses that drive learning and prevent building the wrong things
Score 70/100
Applies "what if" thinking to explore alternative scenarios, test assumptions, understand causal relationships, and prepare for uncertainty.
Score 70/100
Automatically score growth experiments using the ICE framework (Impact × Confidence × Ease). Use when the user creates a new experiment, mentions scoring or prioritization, or…
Score 70/100
Generate and rank research ideas given a broad direction. Use when user says \"\u627eidea\", \"brainstorm ideas\", \"generate research ideas\", \"what can we work on\", or wants…
Score 70/100
Workflow 1: Full idea discovery pipeline. Orchestrates research-lit \u2192 idea-creator \u2192 novelty-check \u2192 research-review to go from a broad research direction to…
Score 70/100
Timeboxed divergent ideation that outputs ranked options plus day-one experiments.
Score 70/100
Five-phase pipeline (triage → clarify → research → PRD → plan) that turns a raw idea into four linked files: clarifying questions, deep research, a PRD with non-goals and metrics,…
Score 70/100
Advanced product idea validation through comprehensive market research, competitive analysis, demand verification, technical feasibility assessment, and monetization potential…
Score 70/100
Identify the Ideal Customer Profile (ICP) from research data with demographics, behaviors, JTBD, and needs.
Score 70/100
Process and manipulate images using ImageMagick. Supports resizing, format conversion, batch processing, and retrieving image metadata.
Score 70/100
Development guidelines for Quantum Skincare's Python FastAPI image processor microservice. Covers FastAPI patterns, Perfect Corp API integration, MediaPipe FaceMesh validation,…
Score 70/100
Generate renderable, scientific-style SVG graphics directly from natural-language requirements (no image models).
Score 70/100
Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index. Use for accessing large-scale radiology (CT, MR, PET) and pathology datasets for AI…
Score 70/100
Implement a research paper as an interactive marimo notebook together with the user. Start by understanding what the user wants to explore, fetch the paper via alphaxiv, then…
Score 70/100
Guides you through implementing a research paper step-by-step from scratch. Use when asked to implement a paper, code up a paper, reproduce research results, or build a model from…
Score 70/100
Implements a GitHub user story from planning through PR creation, with research, codebase analysis, and structured commits.
Score 70/100
Use when building, creating, or adding functionality. Triggers: "implement X", "build Y", "add feature Z", "create X", "start a new project", "Would be great to...", "I want…
Score 70/100
Strategic guidance for operationalizing machine learning models from experimentation to production. Covers experiment tracking (MLflow, Weights & Biases), model registry and…
Score 70/100
Build network traffic baselines from NetFlow/IPFIX data using Python pandas for statistical analysis, z-score
Score 70/100
Use when rewriting or refreshing an existing page that's underperforming. The agent fetches the URL, analyzes the current content, researches the SERP, and rewrites using the full…
Score 70/100
Research-backed prompting techniques for improved AI response quality (+45-115% improvement). Use when optimizing prompts, enhancing agent instructions, or when maximum response…
Score 70/100
Comprehensive incident root cause analysis skill for distributed systems. Analyzes logs, metrics, and traces to identify cascading failures, resource contention, and root causes…
Score 70/100
Research-driven investigation skill for validating solutions and exploring documentation. Never ask questions you can answer yourself through research.
Score 70/100
Induct research sources into a research repository. Point at an issue, a single file, a directory of papers, or a URI and the skill reads, annotates, and files structured…
Score 70/100
Ability to analyse, design, optimise, and improve systems that integrate people, processes, technology, and resources to meet defined performance, quality, cost, and safety…
Score 70/100
Deep domain research and expertise synthesis across industries, combining academic research, market intelligence, and practitioner knowledge
Score 70/100
Systematic research protocol for discovering novel AI-native software businesses in the synthetic workforce era.
Score 70/100