Results for “filter”

Filter rows of a Datagrok DataFrame via the datagrok_exec tool through the Filters panel — by range, equals/contains/in-set, multi-value, boolean, free-text row expressions, or substructure (SMILES / SMARTS / molblock). Also covers clearing, inverting, the show-only-filtered vs destructive-drop split, and the filter event lifecycle (onRowsFiltering / onFilterChanged / onRowsFiltered). Use whenever the user says "filter", "show only", "hide rows where", "narrow to subset", "find rows that", "contains", "substructure search", "categorical filter", "range filter", "invert", "clear the filter", "clear filters", "drop rows", or asks for the filtered subset as a new table. Does NOT cover selection (separate skill) or generic DataFrame cloning (datagrok-df-and-columns).

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Automate Dnsfilter operations through Rube MCP and Composio by discovering available tools, checking the account connection, and executing requests using current input requirements. Includes guidance for bulk operations and retrieving complete results.

• Find available tools for a Dnsfilter task
• Check the Dnsfilter account connection
• Execute requests using current input requirements

Automate Dnsfilter operations through Rube MCP and Composio by discovering available tools, checking the account connection, and executing requests using current input requirements. Includes guidance for bulk operations and retrieving complete results.

• Find available tools for a Dnsfilter task
• Check the Dnsfilter account connection
• Execute requests using current input requirements

Design and implement adaptive filters using DSP System Toolbox System objects. Use when working with adaptive filtering, system identification, noise cancellation, echo cancellation, active noise control (ANC), channel equalization, inverse system identification, or adaptive prediction. Covers dsp.LMSFilter, dsp.RLSFilter, dsp.FilteredXLMSFilter, dsp.FrequencyDomainAdaptiveFilter, dsp.AffineProjectionFilter, dsp.BlockLMSFilter, dsp.AdaptiveLatticeFilter, dsp.FastTransversalFilter, maxstep(), and algorithm selection for adaptive filtering problems. Replaces deprecated adaptfilt.* objects (removed R2020a).

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Analyzes sensor configurations and creates inertial fusion filters in MATLAB Navigation Toolbox. Manages filter selection (imufilter, ahrsfilter, complementaryFilter, insfilterMARG, insfilterAsync, insfilterNonholonomic, insfilterErrorState, insEKF, insCF), construction, tuning, and fusion loops. Use when fusing IMU/AHRS/INS/GPS+IMU data, estimating orientation or pose, or choosing a filter. Do NOT use for vision-only SLAM, Simulink fusion, or IMU simulation.

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Design or repair lookup filters that constrain a child lookup using fields from the parent record (or a sibling record on the same object). Triggers: 'limit lookup based on another field', 'cross-object lookup filter', 'lookup filter $Source vs $User', 'lookupFilter block in field-meta.xml', 'booleanFilter with three filterItems', 'picker still shows every record after deploy', 'lookup filter error message not translated'. NOT for choosing lookup vs master-detail - use admin/lookup-and-relationship-design. NOT for duplicate matching rule criteria - use admin/duplicate-management. NOT for the rest of the CustomField element set - use admin/custom-field-creation.

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Check single-cell RNA-seq data quality, filter low-quality cells using median absolute deviation, a measure of spread, and compare plots before and after filtering. Outputs include filtered data and the original dataset with quality annotations.

• Assess single-cell RNA-seq data quality
• Filter low-quality cells and rarely detected genes
• Compare quality plots before and after filtering

Medicinal chemistry filters for compound triage. Apply drug-likeness rules (Lipinski rule of five, Veber, Oprea, CNS, lead-like, rule of three), structural alert catalogs (PAINS a/b/c, NIBR screening-deck severity, Brenk, BMS, Glaxo, Dundee, ChEMBL common alerts), ZINC-15 percentile complexity metrics (Bertz, SAscore, QED, Whitlock, Barone), chemical-group detection, Lilly demerits, and the medchem query language (MATCHRULE, HASALERT, HASPROP, HASGROUP) for filtering a library at scale. Also trigger on medchem, `import medchem as mc`, RuleFilters, NIBRFilters, CommonAlertsFilters, NamedCatalogs, QueryFilter, PAINS filtering, or structural alerts.

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Use this skill when building analytics dashboards with nuxt-ui-tools as a package consumer. Covers schema and view functions (defineDashboardSchema, defineDashboardView) that take their context as typed params, useDashboard with a getter that rebuilds on input change, typed injection (useDashboardView, injectDashboard, InferDashboard, InferDashboardView), filters declared inline with the f builder and synced with the URL, memory, or an external store (one value per key across views), headless filters, filter controls and the shipped UI (UiDashboardPage, UiDashboardFilters, UiDashboardFilter, UiDashboardViewTabs) with slot overrides, remote paginated pickers and remoteTableOptions, staged queries (essential / background / deferred) with select and dependent requires, lazy enabled conditions on views, queries, and filters (blocks of disabled queries hidden, grids closing up), derived values, views (tabs), query-scoped filters, number formats (presets, Intl options, useDashboardFormat), and the dashboard blocks (stats with trends, goals, and comparisons, stat groups, gauges, unovis charts with highlights, value labels, and totals, lists with progress rings, bars, funnel, alerts, activity feeds, sortable tables, custom widgets) with their automatic loading, error, empty, and refresh states, card menus, header and footer actions, row actions, drill-down and selected state, card tabs, split cards, comparison periods, auto-refresh, and data freshness.

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Develop Rust filters for RTK through tests written before implementation. Use real command output as test inputs, check output snapshots and unexpected inputs, verify a minimum reduction target, and complete formatting, linting, and test checks before finishing.

• Adding a new RTK command filter
• Checking filtered output against saved snapshots
• Testing empty, malformed, or ANSI-colored input

Manage how context, the text supplied to an AI, is compressed with RTK filters. Preview compression on real prompts, validate and install filter files, and inspect filter loading diagnostics.

• Preview compression on real prompts
• Validate and install RTK filter files
• Inspect filter loading diagnostics

Build intermediary servers for authorized security exercises, separating public traffic from the command server used by the test team. It covers simple forwarding, request filtering with nginx or Apache, TLS certificates, and validation against the exercise’s traffic profile.

• Separating public infrastructure from an exercise command server
• Filtering exercise traffic against a defined profile
• Adding TLS certificates to a redirector

Find Airtable records by combining conditions such as assignee, date, number, or attachment type. The skill guides the agent in choosing comparisons that match each field type and building a single filter for the requested records.

• Find records by assignee and status
• List records dated within the past week
• Find records with image attachments

Extract product list from any e-commerce category page, search results page, or keyword search with filters. Returns paginated product arrays with URL, name, price, currency, image, rating, review count per item. Supports URL input, keyword search, and site-scoped search with filters: price range, brand, category, minimum rating, in-stock only, and sort order. Works on Amazon, eBay, Walmart, Shopify collections, WooCommerce shops, Google Shopping, and any public product listing page. Use when: category listing, product search results, ecommerce search, search for products, filter products by price, list products from a site, price range filter, brand filter, keyword search with filters, scrape product list, product catalog extraction, get all products from category, bulk product URLs, product list scraping, category page scraper, search results scraper, multi-page product extraction.

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Design and validate digital filters in MATLAB. Use when cleaning up noisy signals, removing interference, filtering signals, designing FIR/IIR filters (lowpass/highpass/bandpass/bandstop/notch), or comparing filters in Filter Analyzer.

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Design and implement real-time audio processing chains using Audio Toolbox streaming objects. Use when building frame-based audio processing loops, multiband filters, dynamic range control, parametric EQ, level metering, loudness metering, SPL metering, octave-band analysis, sample rate conversion, frequency-domain filtering (long impulse responses, custom filter banks), or audio chains in Simulink. Covers visualization (visualize method), interactive tuning (parameterTuner), MIDI control, and Audio Toolbox Simulink blocks. Use when the user says "real-time audio", "streaming audio", "audio filter", "compressor", "equalizer", "level meter", "loudness meter", "SPL meter", "octave bands", "crossover filter", "audio chain", "MIDI control", "convolution reverb", "impulse response streaming", "frequency-domain filter", or asks to process audio frame-by-frame.

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Security-first SOP for multi-tenant RAG systems. Activate when a calling agent is building, reviewing, or debugging any retrieval pipeline whose vector store is shared across more than one user, organisation, workspace, customer, or permission scope. Encodes the single non-negotiable rule — **filter at the vector store query, never after retrieval / never after rerank** — together with the per-vendor query-time filter APIs (Pinecone namespaces + `$eq`/`$in`, Weaviate `multiTenancyConfig` + tenant handle, Qdrant `is_tenant` payload index + `Filter.must`, Chroma `where`, pgvector RLS), and the cross-framework adapters (LlamaIndex `MetadataFilters`, LangChain `filter=` dict). Frame the work as preventing CVE-2024-41892 / EchoLeak / Slack-AI-class cross-tenant leakage, not as "adding a filter for relevance".

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Guide to quality filtering raw VCF files before computing summary stats (Ts/Tv ratio, variant counts, AF distributions). Covers detecting raw VCFs via FILTER column and QUAL inspection, QUAL-based filtering with bcftools, Ts/Tv interpretation, and when NOT to filter. Read before any variant-level QC task. See bcftools-variant-manipulation for advanced filters, gatk-variant-calling for caller config, samtools-bam-processing for upstream alignment QC.

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Use when filtering Django querysets - FilterSet, custom filters, Django REST Framework integration, explicit fields

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Design custom action/filter hooks emitted by a plugin: action vs filter semantics, prefixed names, docblocks, parameter stability, *_ref_array forwarding, and deprecated hook migration. Use when adding, reviewing, evolving, or deprecating a public hook surface. Triggers on do_action, apply_filters, apply_filters_deprecated, do_action_deprecated, apply_filters_ref_array, do_action_ref_array, did_action, did_filter, or hook @since docblocks.

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Locate CBaseEntity_EmitSoundFilter_SoundName in CS2 server.dll / libserver.so via IDA Pro MCP and emit a fresh, minimal-unique signature or offset for the local gamedata entry "CBaseEntity_EmitSoundFilter_SoundName" (symbol CBaseEntity_EmitSoundFilter_SoundName). The gamedata consumer stores a BYTE SIGNATURE for this entry - ALWAYS emit the func schema (func_sig), never vfunc fields. The function may be virtual; locating it via the owning class vtable (RTTI) is a fine strategy, but once found, read its head bytes and emit func_sig. Locate via cross-references, distinctive constants/strings, callers of related symbols, or vtable slots; verify by decompilation before committing. Trigger: CBaseEntity_EmitSoundFilter_SoundName, CBaseEntity_EmitSoundFilter_SoundName

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Review JavaScript loops and replace suitable ones with standard array and object methods. Make transformations, filtering, and aggregation easier to understand, with practical explanations and browser checks to confirm that changes preserve the intended behavior.

• Refactoring manual loops into array methods
• Clarifying data transformation, filtering, and aggregation
• Reviewing object transformations and deep copying

Create Gmail filters that automatically label, star, or categorize incoming messages. Check existing labels, create a label when needed, define a filter, and verify its settings to organize recurring email.

• Automatically label incoming receipts
• Keep mail from a specified sender out of the inbox
• Check existing labels and configured filters

Build fuzzy search that filters candidates and sorts them by relevance. Use saved match scores, search across multiple object fields, adjust acceptance thresholds, and connect ranking results to TanStack Table filtering and sorting.

• Sort search results by relevance
• Search names and email addresses together
• Adjust which fuzzy matches are accepted