Results for “pattern-matching”
11 skills
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mukul975 performing-malware-triage-with-yara
Rapidly classify malware samples against known family signatures using YARA rules, covering rule writing, scanning, and integration with analysis pipelines.
24.6k · bundle
k-dense-ai matchms
Process and analyze mass spectrometry data: import spectra from MGF, mzML, MSP, and JSON formats; apply 40+ filters for metadata harmonization and peak cleaning; compute spectral similarities (cosine, modified cosine) for compound identification; build reproducible processing pipelines.
30.2k · bundle
lingxling matchms
Process and analyze mass spectrometry data with the Matchms Python library, including importing spectra, filtering peaks, calculating similarity scores, and building reproducible analytical workflows.
253 · bundle
affaan-m prisma-patterns
Provides production patterns and non-obvious traps for Prisma ORM in TypeScript backends, covering schema design, query optimization, transactions, pagination, and common pitfalls.
226k
affaan-m mysql-patterns
Provides MySQL and MariaDB schema, query, indexing, transaction, replication, and connection-pool patterns for production backends.
226k
affaan-m postgres-patterns
Quick reference for PostgreSQL best practices covering query optimization, schema design, indexing, Row Level Security, and connection pooling.
226k
sakamoto-family-smile postgres-patterns
Quick reference for PostgreSQL best practices covering indexing, schema design, query optimization, and security defaults.
0
heath-gtm pattern-analyst
Your won/lost/churn pattern analyst. Connect a CRM plus a product-analytics tool, then turn retrospective data into forward-looking action. Three modes. (1) WON, win pattern recognition that feeds your ICP and lookalike search. (2) LOST, loss pattern plus competitive intel that feeds a messaging refresh. (3) CHURN, churn theme extraction plus predictive scoring (which active accounts look like recent churners?). Trigger on "why are we winning?", "why are we losing?", "closed-lost autopsy", "churn patterns", "competitive intel rollup", "who do we lose to most?", "show me lookalike candidates to {winning customer}", "predictive churn", "which active accounts look like churners?", or any portfolio-level pattern recognition.
0
sakamoto-family-smile mysql-patterns
Provides MySQL and MariaDB schema, query, indexing, transaction, replication, and connection-pool patterns for production backends.
0
browserbase company-research
Discovers and researches companies matching an ideal customer profile, using Browserbase Search API and a Plan→Research→Synthesize pattern to produce scored reports and CSV exports.
3.6k · bundle