agxntsix-research-loggerAI research pipeline with automatic SQLite logging and Langfuse tracing
Install via ClawdBot CLI:
clawdbot install aiwithabidi/agxntsix-research-loggerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://www.linkedin.com/in/mohammad-ali-abidiAudited Apr 18, 2026 · audit v1.0
Generated Mar 22, 2026
Researchers and students can use this skill to systematically log literature searches, track sources, and organize findings by topic or project. It helps maintain a searchable database of references and insights, ensuring no valuable information is lost during long-term studies.
Business analysts and marketing teams can automate competitive research by logging search results on industry trends, products, and competitors. The SQLite storage allows for easy retrieval and analysis of historical data to inform strategic decisions.
AI developers and data scientists can trace and log research queries related to model development, such as comparing algorithms or tools. Langfuse integration provides detailed tracing for debugging and optimizing AI pipelines.
Writers and journalists can log research on topics for articles or reports, tagging entries by project for easy access. This streamlines fact-checking and ensures all sources are documented in a centralized database.
Legal professionals can use this skill to log searches on regulations, case law, or compliance standards, organizing results by case or topic. It aids in maintaining audit trails and retrieving past research efficiently.
Offer this skill as part of a cloud-based research platform with enhanced features like collaborative logging, advanced analytics, and premium API access. Revenue is generated through monthly or annual subscriptions for individuals and teams.
Sell custom licenses to large organizations for integration into their internal research workflows, with added support, security features, and scalability. This targets industries like consulting or academia with high-volume research needs.
Provide a free basic version with limited logging and search capabilities, then monetize through paid add-ons such as extended Langfuse tracing, advanced SQLite analytics, or priority support. This attracts a broad user base while upselling to power users.
💬 Integration Tip
Ensure PERPLEXITY_API_KEY is set for search functionality, and configure Langfuse keys optionally for enhanced tracing; use simple Python scripts as shown for quick setup.
Scored Apr 19, 2026
Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.
Local search/indexing CLI (BM25 + vectors + rerank) with MCP mode.
Use when designing database schemas, writing migrations, optimizing SQL queries, fixing N+1 problems, creating indexes, setting up PostgreSQL, configuring EF Core, implementing caching, partitioning tables, or any database performance question.
Connect to Supabase for database operations, vector search, and storage. Use for storing data, running SQL queries, similarity search with pgvector, and managing tables. Triggers on requests involving databases, vector stores, embeddings, or Supabase specifically.
Use SQLite correctly with proper concurrency, pragmas, and type handling.
Write correct MySQL queries avoiding common pitfalls with character sets, indexes, and locking.