Use Databasement when an MCP-compatible agent needs to schedule database backups, supervise restore jobs, enforce retention policy, and react to backup failures across supported…
Use when a task needs the judgment of an orthodontist — classifying a malocclusion, running a space analysis to decide extraction vs non-extraction, timing growth-modification…
Use when you have preprocessed (smoothed and baseline-corrected) 2D-GCxGC-MS chromatograms from multiple samples and need to align their peak positions to a common reference…
Use when you have a table of detected chromatographic peaks (e.g., from CentWave peak detection in xcms) and need to isolate a single target m/z (e.g., m/z 304.1131 for a…
SaaS pricing intelligence for email marketing tools (web hosting and domains planned). Query current prices, compare tools, and find hidden costs.
Guides agents through privacy, retention, and deletion workflows in data systems. Use when handling personal data, retention limits, deletion requests, legal holds, or data…
Use when after running retention-order prediction experiments on a test or held-out evaluation dataset.
Actually remember and use what you read — an active-reading system that beats the highlight-and-forget cycle.
Use when you have training LC-HRMS chromatograms (rt × m/z matrix format) from which you have already extracted peak candidates using smoothing and gradient-descent peak…
Activate when: a founder wants customers to bring customers; 'how do we get referrals / word of mouth', designing a referral program, improving virality; loops, incentives,…
Retention Science integration. Manage data, records, and automate workflows. Use when the user wants to interact with Retention Science data.
Structure a retention analysis, churn investigation, or engagement deep-dive for any product team. Use when asked to analyse user retention, investigate churn, measure DA — from…
Structure a retention analysis, churn investigation, or engagement deep-dive for any product team. Use when asked to analyse user retention, investigate churn, measure DA — from…
Cohort analysis and retention optimization framework. Identifies retention drivers and churn factors.
Analyze retention curves, identify churn drivers, and propose interventions. Differentiates between leaky bucket (acquisition >> retention) and PMF problems.
Analyze cohort retention, diagnose retention drops, identify at-risk segments, and recommend intervention strategies.
Internationales Handelsrecht: Einbehalt und Aufrechnung im internationalen Kaufvertrag. Zurückbehaltungsrecht (CISG Art.
Quarterly (or pressure-driven) ILM retention audit — scope the heaviest policies, gather requirement vs query pattern, propose reductions through the change register.
Retention Calculator - Auto-activating skill for Data Analytics. Triggers on: retention calculator, retention calculator Part of the Data Analytics skill category.
Diagnose a general product retention cohort or curve and turn it into decisions by validating cohort eligibility, value events, observation windows, metric type, censoring,…
Cohort retention analysis — triangle chart construction, curve shape analysis for PMF detection (flattening/declining/rising), layer cake chart, PMF-driven priority shifting, 5…
Diagnose why short-video retention drops and suggest practical fixes. Use when views start but audience leaves early.
Help users improve retention and engagement metrics. Use when someone is dealing with churn, optimizing activation flows, building habit-forming products, or trying to increase…
Manages retention exception workflows including request-approval processes, duration limits, periodic review cycles, documentation requirements, and audit trail maintenance.
Use when after combining multiple EI or MS2 mass spectral libraries and you have access to NIST RI reference files (ri.dat and USER.DBU) and need to assign experimental retention…
Use when processing raw GC-MS data in NetCDF format where peaks have been detected but lack standardized retention indices.
Use when you have a compiled EI or MS2 library object (from read_lib or c() combination of multiple sources) and a local NIST library installation with accessible ri.dat and…
Articulate a day 1 / day 7 / day 30 retention loop for a Sui product. Use when the user wants to define retention, stickiness, or engagement loop.
Design retention and engagement loops that bring users back. Use when asked to improve retention, design an engagement/habit loop, fix a leaky retention curve, or build a…
Use when designing product-led retention — habit formation, trigger-action-reward, network vs single-user loops. Triggers on 'why don't users come back', 'design a habit loop'.
Develop retention strategies to reduce churn and increase customer lifetime value
Keep and re-engage existing customers, which is usually cheaper and more valuable than acquiring new ones.
Internationales Handelsrecht: Eigentumsvorbehalt (EV) im internationalen Handel. Einfacher, erweiterter und verlängerter Eigentumsvorbehalt, Wirksamkeit nach ausländischem…
When the user wants to reduce churn, improve user engagement, or increase lifetime value. Also use when the user mentions "retention", "churn", "users leaving", "engagement",…
Reduce churn and improve retention through cohort analysis, at-risk user identification, win-back campaigns, and customer success strategies.
Reduce churn and improve retention through cohort analysis, at-risk user identification, win-back campaigns, and customer success strategies.
Reduce churn and improve retention through cohort analysis, at-risk user identification, win-back campaigns, and customer success strategies.
Design a retention playbook for Autostay — churn signal detection, engagement triggers, win-back campaigns, and lifecycle communication plans.
Berliner Start-up-HR: Retention-Risk-Map: Kündigungsrisiko, Schlüsselpersonen, Gehaltsband, Konflikte, Entwicklung und zulässige Datengrundlage.
Comparing configured backup retention and cadence against contracted retention windows and RPO (recovery point objective) targets: the two distinct retention gap types…
Use when legacy prompts or older framework flows reference `retention-specialist` and you need the modern runtime to resolve that capability cleanly.
Designs churn prevention flows, payment recovery sequences, referral programs, and free tool strategies for customer retention and growth loops.
When the user wants to reduce churn, improve customer retention, or plan lifecycle marketing. Also use when the user mentions "retention," "churn," "customer lifecycle," "churn…
Use when after applying AbundanceSimilarityParam (with threshold ≥0.7 and log2 transform) to retention-time-based feature groups from SimilarRtimeParam, when you need to examine…
Use when you have MS2 fragmentation spectra from multiple samples (in .mgf, .mzML, or .mzXML format) and want to compare them despite poor feature overlap, strong RT shifts…
Use when when processing multiple LC-MS samples with varying scan numbers or retention-time drift, before constructing composite mass tracks for peak detection.
Use when after mass tracks have been aligned across samples into a MassGrid structure and retention time calibration dictionaries (rt_cal_dict) have been computed for eac — from…
Use when after feature m/z grouping and pairwise alignment detection have identified candidate feature pairs, and anchor points have been selected to establish retention time…
Use when after sample alignment step in untargeted LC-MS workflows, particularly when processing multi-sample cohorts with QC samples interspersed throughout the sequence.
Use when you have raw GC-MS output in CSV format (with columns: Component.RT, Base.Peak.MZ, Component.Area, Compound.Name, Match.Factor, File.
Use when you have raw GC-MS output from Agilent Unknowns Analysis (a .CSV with columns Component.RT, Base.Peak.MZ, Component.Area, Compound.Name, Match.Factor, File.
Use when after peak detection has been completed on individual LC-MS samples and you have a collection of detected peaks with m/z, retention time, and intensity values from each…
Use when after anchor selection and RT mapping spline construction, when you have a fitted metabCombiner object with pre-aligned feature pair candidates and need to tune the…
Use when after chromatographic peak detection on preprocessed LC-MS data when you have an xcms result object (XcmsExperiment or xcmsSet) with detected peaks and need to collapse…
Use when after mass track construction and before composite map building, when you need to align retention times across multiple LC-MS samples.
Use when after mass track extraction and alignment across samples, when preparing to detect elution peaks on composite mass tracks.
Use when after matching mass-to-charge ratios to a compound database (e.g., KEGG) and assigning adduct/fragment types, when you have an annotated feature table with retention…
Use when you have multiple LC-MS runs with the same set of targets (compounds) and observe or expect retention time drift or jitter between runs.
Use when you have detected multiple LC-MS features (m/z peaks) across a chromatogram and need to distinguish true chemical relationships (isotopes differing by 1.003 Da, adducts…
Use when when you have detected multiple features from non-targeted mass spectrometry and need to group them by putative compound origin.