LLM Mart Basic
@llm-mart · Joined Jun 2026
UI/UX 设计
UI/UX 专业设计(PDLC 集成层,依赖 ui-ux-pro-max)
Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have quest
Builds Python components using the compone framework for type-safe HTML/XML/RSS generation. Use when working with compone, creating Python components, generating markup in Python, or building framework-agnostic component libraries.
Use this when working in a project with devenv.nix, or when devenv.sh development environment setup, services, dependencies, or Nix packages are relevant.
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
Analyze Hacker News thread sentiment from a provided HN thread URL.
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
Write clean, readable Pythonic code. Use this skill any time you write or change a Python file.
Predict protein 3D structures with AlphaFold2 via ColabFold — MMseqs2-accelerated MSAs, monomer and AlphaFold2-Multimer complex folding, and confidence-based validation (pLDDT, pTM/ipTM, PAE). Use when folding a protein sequence or complex from FASTA, generating a predicted struc
Build, slice, concatenate, read, and write AnnData annotated data matrices (obs, var, X, layers, obsm, uns) — the scverse data STRUCTURE, not an analysis pipeline. Use when creating or wrangling .h5ad/zarr files, managing cell and gene annotations, concatenating batches, or handl
Infer gene regulatory networks (GRNs) from expression matrices using arboreto's scalable GRNBoost2 and GENIE3 tree-ensemble algorithms with Dask-distributed computation. Use when analyzing bulk or single-cell RNA-seq transcriptomics to map transcription-factor-to-target-gene regu
Manipulate biological sequences, parse FASTA/GenBank/PDB files, run phylogenetics, and access NCBI/PubMed programmatically via Biopython (Bio.SeqIO, Bio.Entrez, Bio.PDB, Bio.Blast). Use when scripting custom bioinformatics pipelines, batch-processing sequence files, automating BL
Query 40+ bioinformatics web services through one consistent Python API with bioservices (UniProt, KEGG, ChEMBL, Reactome, Ensembl, NCBI and more). Use when a workflow must hit multiple databases together, map identifiers across services, or run cross-database analyses — for quic
Runs NCBI BLAST+ 2.17.0 sequence searches from the command line: makeblastdb (with -parse_seqids), blastn/blastp/blastx/tblastn with tabular -outfmt 6/7 for parsing, correct -task choice (megablast vs blastn vs blastn-short), -taxids/-negative_taxids taxonomic scoping, and -mt_mo
Co-fold biomolecular complexes with Boltz-2, an open AlphaFold3-style model — predict protein + ligand (SMILES/CCD), protein + nucleic-acid, and multi-chain structures in one pass, with binding-affinity prediction. Use when folding a protein together with a small-molecule ligand,
Predict genome-wide functional genomics tracks from DNA sequence with Borzoi (Linder 2025) — a sequence-to-function model outputting RNA-seq, CAGE, ATAC, and ChIP coverage across long context, used to score non-coding and regulatory variant effects. Use when predicting functional
Query the CZ CELLxGENE Census (200M+ cells) programmatically via cellxgene-census and TileDB-SOMA, slicing expression by tissue, disease, or cell type and returning AnnData. Use when pulling reference single-cell RNA-seq data from the largest curated public atlas, running populat
Predict biomolecular complexes with Chai-1, an open AlphaFold3-style model that folds multi-entity assemblies (proteins, ligands, nucleic acids) from a single typed FASTA — strong on antibody–antigen and protein–ligand complexes, with optional MSA and restraint inputs. Use when p
Build and analyze genome-scale constraint-based metabolic models with COBRApy — flux balance analysis (FBA), flux variability analysis (FVA), gene and reaction knockouts, flux sampling, and SBML model I/O. Use when simulating metabolic networks, predicting growth or knockout phen
/check-async
check-async
Analyze Python async code for correctness, patterns, and potential issues.
/run-profiler
run-profiler
Profile Python code for performance bottlenecks using cProfile, memory_profiler, or py-spy.
/api-review
api-review
Evaluate public API surfaces against guidelines and exemplars.
/architecture-review
architecture-review
Principal-level architecture assessment against ADRs and design patterns.
/bug-review
bug-review
Systematic bug detection with language-specific expertise.
/full-review
full-review
Run a detailed review that picks its dimensions from what the codebase and diff contain.
/harden
harden
Active security hardening of the existing codebase, with a report and concrete proposals to apply.
/makefile-review
makefile-review
Audit Makefiles for best practices and portability.
/math-review
math-review
Intensive mathematical analysis for numerical stability and correctness.
/performance-review
performance-review
Static-analysis hot-spot review for time and space complexity.
/refine-code
refine-code
Analyze code quality across 6 dimensions (duplication, algorithms, clean code, architecture, errors, style) and apply fixes.
/rust-review
rust-review
Expert-level Rust audits for safety and correctness.
/shell-review
shell-review
Audit shell scripts for correctness, safety, and portability.
/skill-history
skill-history
View recent skill executions with full context and error details.
/skill-review
skill-review
Analyze skill execution metrics and identify unstable or underperforming skills.
/test-review
test-review
Evaluate and upgrade test suites with TDD/BDD rigor.
/control-desktop
control-desktop
Run a computer use task on the desktop via Claude's vision and action API
/acp
Acp
Stage changes, generate conventional commit message, commit, and push to current branch. One-shot git add-commit-push.
/commit-msg
Commit msg
Draft a Conventional Commit message for staged changes. Analyzes diffs, classifies change type, and formats scope/body.
/create-tag
Create tag
Create git release tags from merged PRs or version args. Pushes a v-prefixed tag to trigger the release pipeline, then confirms the run started.
Make any song you can imagine
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15 views 0 likesCurated, verified Agent Skills powered by ModelStudio.
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28 views 0 likesDeterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.
31 views 0 likesDeterministic spec-orchestration for local LLMs in the pi coding agent — drives prompts through refine→research→grill→compose→critique, with bundled web/docs/fe…
20 views 0 likesNative Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chro…
32 views 0 likesAgent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.
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16 views 0 likesProduction-grade MCP server for MikroTik RouterOS with secure AI-native network automation.
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