bioinformatics
213
string-database
Query STRING API for protein-protein interactions (59M proteins, 20B interactions). Network analysis, GO/KEGG enrichment, interaction discovery, 5000+ species, for systems biology.
ai4protein
research
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bioinformatics
213
brenda-database
Access BRENDA enzyme database via SOAP API. Retrieve kinetic parameters (Km, kcat), reaction equations, organism data, and substrate-specific enzyme information for biochemical research and metabolic pathway analysis.
ai4protein
research
bioinformatics
213
alphafold-database
Access AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.
ai4protein
research
computational-chemistry
213
rdkit
Cheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA), fingerprints, substructure search, 2D/3D generation, similarity, reactions. For standard workflows with simpler interface, use datamol (wrapper around RDKit). Use rdkit for advanced control, custom sanitization, specialized algorithms.
ai4protein
research
computational-chemistry
213
fda-database
Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.
ai4protein
research
computational-chemistry
213
chembl-database
Query ChEMBL bioactive molecules and drug discovery data. Search compounds by structure/properties, retrieve bioactivity data (IC50, Ki), find inhibitors, perform SAR studies, for medicinal chemistry.
ai4protein
research
scientific-computing
213
biopython
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation.
ai4protein
research
ide-plugins
213
lean4
Use when editing .lean files, debugging Lean 4 builds (type mismatch, sorry, failed to synthesize instance, axiom warnings, lake build errors), searching mathlib for lemmas, formalizing mathematics in Lean, or learning Lean 4 concepts. Also trigger when the user asks for help with Lean 4, mathlib, or lakefile. Do NOT trigger for Coq/Rocq, Agda, Isabelle, HOL4, Mizar, Idris, Megalodon, or other non-Lean theorem provers.
cameronfreer
tools
code-quality
212
rust-blockchain-dev
Rust and blockchain development conventions including formatting (inline string interpolation), imports organization, checked arithmetic, error handling, unsafe code patterns, and documentation. Use for any Rust code or blockchain project work.
liuchengxu
testing-security
data-analysis
212
summarise-notebook-folder
Read through all experiment notebooks in a folder and write a summary README.
tradingstrategy-ai
data-ai
machine-learning
212
convert-to-optimiser
Convert a backtesting notebook into a parameter optimisation notebook using the bundled transformation mapping to choose searchable parameters and rewrite the notebook.
tradingstrategy-ai
data-ai
backend
212
create-next-rest-framework-api
Set up and implement type-safe Next.js APIs with next-rest-framework. Use when creating or refactoring App Router or Pages Router docs endpoints, REST routes, RPC routes, JSON or form-data handlers, middleware chains, typed outputs with TypedNextResponse, OpenAPI customization, or next-rest-framework CLI generation and validation workflows.
blomqma
development
ecommerce-development
212
build-vault-universe
Update a notebook's cross-chain vault universe to the top 10 vaults by one-year return using the helper script output.
tradingstrategy-ai
development
automation-tools
212
convert-to-backtest
Convert an optimiser or grid search notebook into a standalone backtest notebook using the bundled helper script and mapping guidance.
tradingstrategy-ai
tools
productivity-tools
211
model-tracking-protocol
MANDATORY tracking protocol for multi-model validation. Creates structured tracking tables BEFORE launching models, tracks progress during execution, and ensures complete results presentation. Use when running 2+ external AI models in parallel. Trigger keywords - "multi-model", "parallel review", "external models", "consensus", "model tracking".
MadAppGang
tools
debugging
211
debugger-detective
⚡ Debugging skill. Best for: 'why is X broken', 'find bug source', 'root cause analysis', 'trace error', 'debug issue'. Uses claudemem AST with context command for efficient call chain analysis.
MadAppGang
tools
sales-marketing
211
ab-testing-patterns
A/B testing methodology for cold email optimization
MadAppGang
business
productivity-tools
211
task-external-models
Quick-reference for using external AI models with Task tool. CRITICAL - PROXY_MODE is NOT a Task parameter - it goes in the PROMPT. Use when confused about "Task tool external model", "PROXY_MODE parameter", "how to specify external model", "Task doesn't have model parameter", "only accepts sonnet/opus/haiku", or "minimax/grok/gemini with Task". Trigger keywords - "Task tool parameter", "PROXY_MODE not working", "external model Task", "external LLM", "claudish directly", "claudish with Task", "model parameter missing".
MadAppGang
tools
machine-learning
211
multi-model-validation
Run multiple AI models in parallel for 3-5x speedup with ENFORCED performance statistics tracking. Use when validating with Grok, Gemini, GPT-5, DeepSeek, MiniMax, Kimi, GLM, or Claudish proxy for code review, consensus analysis, or multi-expert validation. NEW in v3.2.0 - Direct API prefixes (mmax/, kimi/, glm/) for cost savings. Includes dynamic model discovery via `claudish --top-models` and `claudish --free`, session-based workspaces, and Pattern 7-8 for tracking model performance. Trigger keywords - "grok", "gemini", "gpt-5", "deepseek", "minimax", "kimi", "glm", "claudish", "multiple models", "parallel review", "external AI", "consensus", "multi-model", "model performance", "statistics", "free models".
MadAppGang
data-ai
llm-ai
211
claudish-usage
CRITICAL - Guide for using Claudish CLI ONLY through sub-agents to run Claude Code with OpenRouter models (Grok, GPT-5, Gemini, MiniMax). NEVER run Claudish directly in main context unless user explicitly requests it. Use when user mentions external AI models, Claudish, OpenRouter, or alternative models. Includes mandatory sub-agent delegation patterns, agent selection guide, file-based instructions, and strict rules to prevent context window pollution.
MadAppGang
data-ai