Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration.
HarnessOps core、target repository、project repository を meta 的に眺め、発散的な改善案、構造的な違和感、逆張り仮説、未言語化のテーマを出すときに使う。ユーザーが「meta的な視点で改善案はある？」「発想を広げたい」「普通に眺めて違和感を出して」「まだ記録や評価はしないで」と頼んだときに使う。lab…
Use when you have a filtered set of conformers (100s–1000s) from ASE-ANI that each require independent quantum calculations via QUICK, and you have access to HPC resources with…
Academic Paper deck theme: LaTeX-paper feel on paper-white #fdfcf8 — all-serif type (Latin Modern Roman → Playfair Display fallback), ink-black body, link-blue #1a3a7a underlined…
Use when you have raw or processed HRMS/MS data from Q-Exactive, Agilent Q-TOF, Bruker Q-TOF, or SCIEX Q-TOF instruments in formats such as mzML, CSV peaklists, or vendor-specific…
Create HTML playgrounds with sliders, knobs, toggles, and live preview for tuning algorithm parameters, animation values, design tokens, layout dimensions, or any value that's…
Biennale Yellow — Solar yellow on warm parchment with deep indigo serif and atmospheric sun-glow gradients.
Cartesian — Quiet warm-neutral palette with classical Playfair serifs; tasteful and unhurried. Anything that should feel quiet, considered, and grown-up: investment theses, white…
Cobalt Grid — Electric cobalt italic serifs on a graph-paper canvas, anchored by stair-stepped pixel-glitch decorations and slim hairline rules.
Monochrome — Ivory ledger paper with all-black type; Lora serif headlines, Jost body, no color at all.
Pin & Paper — Yellow paper with safety-pin illustrations, ink-blue handwritten Caveat, paper-grain texture.
Stencil & Tablet — Bone paper with stencil-cut headlines and a six-color earth palette: archaeology meets brand.
Synthesize multi-source research (codebase, git history, Slack, web, MCPs) into readable HTML reports — concept explainers, weekly status reports, incident reports, technical…
Use when you need to confirm that a documented web service URL is live and reachable before attempting to submit analysis jobs, download results, or integrate the service into an…
Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional — from…
Track ML experiments with Trackio using Python logging, alerts, and CLI metric retrieval.
Use when working with HuggingFace datasets library — loading, processing, uploading. Triggers: load_dataset, hf datasets, dataset upload.
Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional — from…
Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and proj — from…
Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms.
Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms.
Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/ana — from…
5 humanities skills. Trigger: textual analysis, archival research, digital humanities, philosophy. Design: digital tools and qualitative methods for humanities scholarship.
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 re — from…
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 re — from…
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 re — from…
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 re — from…
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 re — from…
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 re — from…
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 re — from…
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 re — from…
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 re — from…
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 re — from…
Используется для глубокой редактуры и «очеловечивания» уже написанного машинного текста академической направленности, снимая паттерны ИИ с сохранением исходного смысла.
Detect and rewrite AI-like Chinese text with a practical workflow for scoring, humanization, academic AIGC reduction, and style conversion.
Humanize text that sounds too AI or too ChatGPT. Triggers: 'humanize this', 'make it less AI', 'sounds too ChatGPT', 'remove em dashes', 'de-AI writing'.
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 ac — from…
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 ac — from…
Hunt Host Header Injection — password reset poisoning → ATO, web cache poisoning via unkeyed Host/X-Forwarded-Host, routing-based SSRF (Host picks upstream → cloud…
Identify command-and-control beaconing patterns in network traffic by applying statistical frequency analysis,
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…
Throwaway feasibility experiment on a dedicated git branch — answers a specific question without polluting main or the backlog.
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.
Hydrological modelling expert who develops, maintains, and critically reviews forecast models within SAPPHIRE.
Assess overall hype levels across AI topics by comparing lab researcher enthusiasm against critic skepticism.
Run Codex pre-implementation research on a task. Use when the user invokes /hyperclaude:hyper-research, or when starting a non-trivial implementation and you want Codex's…
Benchmark command-line programs with statistical rigor using Hyperfine. Performs warmup runs, detects outliers, exports results in JSON/CSV/Markdown, and supports parameterized…
Use when when you have raw strain correlation scores (or similar overlap-based metrics) computed across genomic cluster family (GCF) and molecular family (MF) pairs of varying…
Check and compare software component versions on SageMaker HyperPod cluster nodes - NVIDIA drivers, CUDA toolkit, cuDNN, NCCL, EFA, AWS OFI NCCL, GDRCopy, MPI, Neuron SDK…
Route a natural-language research request to the right Hypo-Research workflow. Use this when the user is unsure whether they need check, review, read, search, ideation, project…
Ingest academic PDFs into structured read artifacts, render outlines, and extract heuristic evidence cards for methods, datasets, figures, and claims.
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 — from…
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 — from…
LLM-driven hypothesis generation/testing on tabular data. Three methods: HypoGeniC (data-driven), HypoRefine (literature+data), Union.
Manages the project's testable hypotheses — surfacing new ones, refining existing ones, updating status, reviewing the full set, and assessing hypothesis state based on evidence…
Write testable product hypotheses with clear success metrics, baselines, targets, and timeframes. Produces a structured hypothesis statement, supporting evidence, a validation…
Когда не знаешь почему что-то происходит — выдвигает 4-6 конкурирующих объяснений и систематически убивает ложные через kill-тесты и confidence scores.
Structured code debugging through hypothesis formation and falsification planning. Use when diagnosing bugs, unexpected behaviour, or system failures where the root cause is…
Manages hypothesis lifecycle, enforces validation criteria, time budgets, and confidence scoring rules.
Investigate build failures, test errors, runtime crashes, or unexpected behavior through systematic minimal reproduction, multi-hypothesis testing, and evidence-based…