ANALYTICS-PRODUCT — Decida com Dados
Analytics de produto — PostHog, Mixpanel, eventos, funnels, cohorts, retencao, north star metric, OKRs e dashboards de produto.
Biomedical literature mining using PubMed/MEDLINE for systematic review support
--- name: pubmed-literature-miner description: Biomedical literature mining using PubMed/MEDLINE for systematic review support allowed-tools: - Bash - Read - Write - Edit - Glob - Grep - WebFetch metadata: specialization: scientific-discovery domain: science category: literature-knowledge phase: 6 graph: domains: [domain:scientific-discovery] specializations: [specialization:scientific-research-methods] skillAreas: [skill-area:data-analysis, skill-area:statistical-analysis, skill-area:deep-web-research] workflows: [workflow:experiment-design, workflow:peer-review-cycle] roles: [role:research-engineer, role:computational-scientist] --- # PubMed Literature Miner ## Purpose Provides biomedical literature mining capabilities using PubMed/MEDLINE for systematic review support and PICO framework analysis. ## Capabilities - MeSH term-based search - PICO element extraction - Abstract screening automation - Citation deduplication - PRISMA flow diagram data generation - Full-text retrieval coordination ## Usage Guidelines 1. **MeSH Terms**: Use controlled vocabulary for precise searches 2. **PICO Framework**: Structure searches around population, intervention, comparison, outcome 3. **Screening**: Apply inclusion/exclusion criteria systematically 4. **PRISMA Compliance**: Generate required flow diagram data ## Tools/Libraries - Biopython - PyMed - NCBI E-utilities--- name: pubmed-literature-miner description: Biomedical literature mining using PubMed/MEDLINE for systematic review support allowed-tools: - Bash - Read - Write - Edit - Glob - Grep - WebFetch metadata: specialization: scientific-discovery domain: science category: literature-knowledge phase: 6 graph: domains: [domain:scientific-discovery] specializations: [specialization:scientific-research-methods] skillAreas: [skill-area:data-analysis, skill-area:statistical-analysis, skill-area:deep-web-research] workflows: [workflow:experiment-design, workflow:peer-review-cycle] roles: [role:research-engineer, role:computational-scientist] --- # PubMed Literature Miner ## Purpose Provides biomedical literature mining capabilities using PubMed/MEDLINE for systematic review support and PICO framework analysis. ## Capabilities - MeSH term-based search - PICO element extraction - Abstract screening automation - Citation deduplication - PRISMA flow diagram data generation - Full-text retrieval coordination ## Usage Guidelines 1. **MeSH Terms**: Use controlled vocabulary for precise searches 2. **PICO Framework**: Structure searches around population, intervention, comparison, outcome 3. **Screening**: Apply inclusion/exclusion criteria systematically 4. **PRISMA Compliance**: Generate required flow diagram data ## Tools/Libraries - Biopython - PyMed - NCBI E-utilities
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.