Top Agent Skills

Simulates meiotic recombination to produce offspring genomes from parent pairs, modeling Mendelian segregation, de novo mutation, sex determination, trait inference, and clinical evaluation against a disease registry.

Operate the Unity Editor through MCP tools and resources, covering scene management, script editing, testing, and automation workflows.

Audit X Ads measurement, pixel, conversions API, campaign structure, targeting, creative, budgets, brand safety, and reporting for paid campaigns on X.

Analyze a single FASTA file (nucleotide or protein), compute sequence-level metrics (GC, ORFs, MW, pI, GRAVY, secondary-structure fractions) with Biopython, and write a Markdown report plus structured JSON for downstream chaining.

Predicts gene and transcript structure from a DNA sequence using the hosted Genomic Intelligence API, producing a report and JSON output.

Predicts tissue or cell-type gene expression (log TPM and TPM) from a TSS-centered DNA sequence using the hosted Genomic Intelligence G0 Expression model, conditioned on a free-text cell-type description.

Automates genome-wide association studies from genotype files to publication-ready results, running PLINK2 QC and REGENIE regression with Manhattan and QQ plots.

Searches UK Biobank's 12,000+ data fields and publications by natural language query, returning ranked field IDs and descriptions for research questions.

Annotates VCF variants using Ensembl VEP, ClinVar, and gnomAD, ranks them by predicted impact, and generates a reproducible report.

Opens a GitHub pull request targeting the main branch using the gh CLI and the repository's PR template, after verifying local checks pass.

Retrieves current weather conditions and forecasts for any location using free, keyless services.

Returns structured prediction-market data for Polymarket, Kalshi, Limitless, Opinion, Predict.Fun, dFlow, and UMA oracle via a local API, covering markets, cross-venue search, leaderboards, smart money, wallet analytics, identity clustering, and resolution status.

Performs deterministic image operations with Python Pillow: resizing, cropping, compositing, format conversion, watermarks, brightness/contrast adjustments, and web optimization.

Consolidates auto-memory files in ~/.claude/projects by auditing, planning, and executing a 4-phase cleanup with user approval.

Generate a structured specification document before writing implementation code, validating scope, drafting specs, and registering them in the project.

Generates a CONTEXT.md routing file for a specified project subdirectory, following the canonical anatomy and ensuring it meets size and content constraints.

Simulates a NeurIPS/SC/ICSE-style peer review with five reviewer personas (HPC, ML, Stats, Reproducibility, Devil's Advocate) that verify every claim against actual result data before submission.

Reference guide for evaluating LLM-generated translations between CUDA and OpenMP, covering memory model mapping, kernel launch patterns, shared memory, atomics, and common failure modes.

Recommends the best skill, agent, or command for a given task by classifying intent and scanning available tools.

Generates a structured post-task reflection capturing surprises, patterns, prompt improvements, and gotchas, writing it to a markdown file without modifying project rules.

Surface and clarify unknowns before prompting, log deviations during implementation, and verify understanding after, using HTML artifacts that pair prompts with outputs.

Guides test-driven development with a red-green-refactor loop, emphasizing behavior-focused tests and vertical slicing over horizontal test writing.

Writes or updates a HANDOFF.md file in the project root to capture goal, progress, and next steps for a fresh agent to continue in-progress work.

Synthesizes the current conversation and codebase context into a structured PRD and publishes it to the project issue tracker with a triage label.

Triage issues through a state machine driven by triage roles, including gathering context, recommending actions, and applying outcomes.

Provides nine skills for Nature-journal-family academic publishing, covering figure creation, prose polishing, manuscript writing, citation formatting, data availability statements, paper reading, reviewer responses, paper-to-PPT conversion, and academic search via an MCP server.

Runs a disciplined debugging loop for hard bugs and performance regressions, covering reproduction, hypothesis testing, instrumentation, fixing, and regression testing.

Builds a throwaway prototype to answer a design question, choosing between a runnable terminal app for logic/state questions or multiple UI variations switchable from one route.

Conducts autonomous multi-source research using a planner/executor architecture and an MCP server, with tools for deep research, quick search, report writing, and source retrieval.

Turns a spec or requirements into a detailed, bite-sized implementation plan with exact file paths, code, and test steps for engineers with no codebase context.

Runs Stanford's STORM pipeline to produce Wikipedia-quality research articles with citations, using Claude models and a search engine API.

Bootstraps the always-loaded rules layer for a new repository: writes a CLAUDE.md skeleton and a workflow.md model-notes rule, and optionally installs a native git pre-commit hook. Skips repos already rendered by the Loam Copier template.

Dispatch a code-reviewer subagent to catch issues before they cascade, with guidance on when to request review and how to act on feedback.

Creates and maintains persistent markdown planning files that survive session resets by hooking into Claude Code's lifecycle.

Guides implementing features and bug fixes test-first, enforcing the red-green-refactor cycle with mandatory failure verification.

Executes implementation plans by dispatching a fresh subagent per task and running two-stage reviews for spec compliance and code quality.

Designs Azure architectures and configures compute, storage, database, networking, identity, and security services.

Provides guidance and best practices for working with Argo CD, covering setup, configuration, deployment, operations, and troubleshooting.

Solves equations, factors expressions, and analyzes algebraic structures including matrices, vector spaces, and group theory.

Implements multi-level caching with strategies for invalidation, stampede prevention, and performance monitoring.

Manage agent skills from clawhub.com using the ClawHub CLI: search, install, update, list, and publish skill folders with version and changelog options.

Set up and use 1Password CLI (op) for signing in, reading, and injecting secrets, with a required tmux session to manage authentication.

Implements AI safety guardrails including input validation, output filtering, robustness testing, human oversight, and monitoring to prevent harmful outputs and ensure system reliability.

Schedules and runs recurring commands or scripts using cron expressions, with support for intervals, retries, locking, and logging.

Debug application issues with techniques for Python, JavaScript, performance profiling, production incidents, and network problems.

Design clean REST APIs with proper resource modeling, HTTP methods, pagination, versioning, and OpenAPI documentation.

Applies physical principles to model biological systems, including protein folding, membrane transport, molecular forces, and neural signaling.

Provides guidance and best practices for working with containerd, covering setup, configuration, deployment, and troubleshooting.

Provides expertise in containerization technology, covering container creation, orchestration integration, security hardening, and operational best practices for production workloads.

Provides expert-level guidance on implementing and applying app security concepts, including design, optimization, debugging, and best practices.

Analyzes biochemical processes, including enzyme kinetics, metabolic pathways, and biomolecule characterization, with practical techniques and examples.

Explains cell structure, organelles, signaling pathways, and cell cycle regulation for biology study and research.

Measures code quality, identifies code smells, and implements quality gates using static analysis and technical debt tracking.

Explains dense vector embeddings, their key concepts, common use cases, and best practices for semantic search and RAG applications.

Documents MariaDB-specific GRANT behavior, including privilege scope levels, implicit account creation, MariaDB-only privileges, roles, proxy grants, resource limits, and TLS options, to help write accurate GRANT statements.

Provides best practices for using MariaDB's built-in vector support for AI workloads, including SQL syntax for vector columns, indexes, distance functions, and RAG patterns.

Reference for MariaDB string functions: extraction, length, search, concatenation, modification, case, PCRE2 regex, formatting, and encoding, with common pitfalls and version notes.

Reference for MariaDB numeric and math functions, covering rounding, division, powers, logs, trigonometry, randomness, base conversion, checksums, and formatting, with guidance on exact-vs-approximate types and division-by-zero behavior.

Explains MariaDB Connector/R2DBC specifics for writing reactive Java code: URL scheme, placeholder binding, lazy execution, consume-once results, transactions, pooling, and error handling.

Explains MariaDB Connector/Node.js specifics: Promise vs Callback API, placeholders, BigInt handling, batch inserts, query streams, pooling, transactions, and prepared statements, for writing or reviewing Node.js code that uses the `mariadb` package.