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Your AI assesses academic papers, proposals, or reviews using a repeatable rubric. It scores clarity, methodology, evidence quality, and citations to provide structured feedback or compare multiple works.
Turn your research question into a structured search, screening, and synthesis of academic or technical literature. It manages protocols, inclusion criteria, and citation checks to build narrative, scoping, or systematic reviews.
Your AI finds and retrieves biomedical research articles from PubMed and NCBI databases. It builds precise queries using MeSH terms, PMIDs, publication types, and dates to get relevant abstracts and citations for your research.
Your AI conducts current-state research combining fresh public data and your local context. It integrates web search, multi-source synthesis, market analysis, and lead intelligence for fact-based comparisons and recommendations.
Your AI runs the gated Research-Plan-TDD-Review-Commit pipeline used by orch-* skills. It classifies task size, delegates phases to agents, and manages human approval gates for feature addition, fixes, changes, and refactors.
Your AI guides you through adding machine learning to codebases without ML. It covers problem framing, data readiness, architecture decoupling, and baseline model integration from start to baseline model.
Your AI produces market sizing, competitor analysis, investor due diligence, and industry intelligence with source attribution. It delivers decision-focused summaries that separate facts, inferences, and recommendations for business planning.
Browse, compare, and analyze live Itô basket and market data without trading. It indexes baskets, compares them to watchlists, creates market briefs, and drafts planning worksheets based on sourced data.
Your AI blocks finishing work until quality checks pass on learning logs, disk space, and rationalization patterns. It verifies file timestamps, disk usage, and transcript heuristics to enforce capture habits and prevent premature session closure.
Your AI delivers detailed research reports with citations from multiple web sources. It uses firecrawl and exa MCP tools to search, scrape, and synthesize information with source attribution for thorough evidence-backed answers.
Your AI captures small learned behaviors from sessions with confidence scoring and scopes them by project. It manages instincts, evolves them into skills or agents, and prevents cross-project contamination.
Your AI extracts reusable patterns from session ends using a stop-hook method. It saves learned skills from Claude Code sessions but is deprecated in favor of a more advanced learning system.