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llm-fmt - Token optimization for structured data
Data & AI
Converts JSON, YAML, XML, and CSV data into token-efficient formats like TSV, TOON, and YAML, reducing token usage by 30-70% for LLM inputs. Supports filtering by paths, limiting nesting depth, and truncating arrays to fit context windows. Useful for minimizing token consumption when feeding structured data to language models.
High-Intent Signal Generator
Data & AI
Generate 5 high-intent signal campaigns from a company URL with full playbook, AI Ark + Apollo filters, and email + LinkedIn scripts.
Connect Data
Data & AI
Guided wizard to connect a new dataset. Walks users through selecting connection type, configuring credentials, validating connection, and profiling schema.
Automated Data Preprocessing Pipeline
Data & AI
Automate data cleaning, transformation, and validation for ML tasks. Generates and executes robust ETL pipelines with quality reports and performance metrics.
ResearchClaw Autonomous Research Pipeline
Data & AI
Run the ResearchClaw 23-stage autonomous research pipeline from literature review to final paper export.
SONA Learning Optimizer
Data & AI
Self-optimizing agent with SONA adaptive learning, LoRA fine-tuning, and EWC++ memory preservation.
QIIME2 Amplicon Workflow
Data & AI
QIIME2 command-line workflow for 16S/ITS amplicon analysis. Alternative to DADA2/phyloseq R workflow with built-in provenance tracking.
Confusion Matrix Generator
Data & AI
Automates confusion matrix generation for ML training, including code and configurations.
bioRxiv Database Search
Data & AI
Python tooling over the keyless bioRxiv API to search and retrieve life-sciences preprints by keyword, author, date range, and category.
Optical Flow with Imgaug
Data & AI
Optical flow and motion detection using Imgaug. Use Imgaug for video analysis and motion tracking.
PostgreSQL Relational Database
Data & AI
Models relational data, writes optimized queries, and manages PostgreSQL databases with indexes, views, and CTEs.
Lead Scoring
Data & AI
Build and apply lead scoring models combining firmographic fit, behavioral signals, and intent data for sales prioritization.