Results for “espec”

Use for Vercel cost and performance optimization on deployed projects, especially Next.js, SvelteKit, Nuxt, and limited Astro apps. Collect Vercel metrics, usage, project config, and code scan results first; investigate only metric-backed candidates; produce ranked recommendations grounded in verified files and version-aware Vercel/framework docs. Trigger for Vercel bill reduction, slow or expensive routes, caching opportunities, Function Invocations, Build Minutes, Fast Data Transfer, Core Web Vitals, Bot Management, Fluid compute, or cost breakdown requests.

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Best practices for agents managing PostHog skills via the MCP `llma-skill-*` tools — how to discover, read, create, update, and refactor skills efficiently, especially large skills with many bundled files. Use whenever you are about to call any `llma-skill-*` tool, asked to author or edit a shared skill, or troubleshoot why a skill write was rejected. Pairs with `skills-store` (which covers the raw tool surface) by adding the decision-tree, efficiency, and pitfall guidance.

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Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

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Guides exploration of $autocapture events captured by posthog-js to understand user interactions, find CSS selectors (especially data-attr attributes), evaluate selector uniqueness, query matching clicks ad-hoc, and create actions. Use when the user asks about autocapture data, wants to find what users are clicking, needs to build actions from click events, asks about elements_chain, wants to build a trend or funnel filtered by clicks or other autocapture interactions, asks which properties autocapture sends, or asks how to filter $autocapture events. Only applies to projects using posthog-js autocapture.

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Turns untargeted LC-MS/MS features (m/z, RT, MS/MS) into confidence-stratified metabolite annotations using spectral-library matching (matchms), in-silico tools (SIRIUS/CSI:FingerID, MetFrag) and molecular networking, and assigns a defensible MSI/Schymanski confidence level to each. Use when naming detected features, scoring MS/MS against a reference library, running SIRIUS, or deciding what confidence level an evidence set actually supports. For upstream feature extraction see metabolomics/xcms-preprocessing and metabolomics/msdial-preprocessing; for downstream enrichment that must respect these levels see metabolomics/pathway-mapping; for lipid-specific structural annotation see metabolomics/lipidomics.

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Find or inspect Unity GameObjects, especially objects the user currently selected in the Hierarchy. Use for details, components, tags, layers, or name/path searches.

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Use when users need bioinformatics analysis on the NCPGR cluster, especially when converting analysis requests into local software choices, resource plans, and LSF job scripts.

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Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

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Estratega de Inteligencia de Dominio de Andru.ia. Analiza el nicho específico de un proyecto para inyectar conocimientos, regulaciones y estándares únicos del sector. Actívalo tras definir el nicho.

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Advogado criminalista especializado em Maria da Penha, violencia domestica, feminicidio, direito penal brasileiro, medidas protetivas, inquerito policial e acao penal.

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Implements SwiftUI Views from Figma designs using Figma MCP tools (figma:get_design_context, figma:get_screenshot, figma:get_variable_defs, figma:get_metadata). Splits large designs into appropriately-sized components, respects existing codebase conventions, and adds previews for each component. Use when implementing SwiftUI from Figma design URLs (e.g., figma.com/design/...), converting designs to code, or building iOS UI from Figma mockups. Do NOT call Figma MCP tools directly without reading this skill first.

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Create EcoSIM Fortran namelist files and workable EcoSIM run folders for AmeriFlux site runs from site-specific grid, plant management, climate forcing, and greenhouse-gas inputs. Use when preparing or updating an EcoSIM `.namelist`, run folder, runfolder, run directory, or executable-ready site case for AmeriFlux or FLUXNET sites, especially after generating `*_ecosim_grid.nc`, `*_ecosim_climate_<first>-<last>.nc`, and `*_pft_mgmt.nc` inputs.

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Extract AmeriFlux BASE-BADM/BIF crop management records into EcoSIM-editable plant-management and soil-management Excel workbooks that can be converted to EcoSIM NetCDF files. Use when asked to derive EcoSIM planting, harvest, fertilizer, or tillage management inputs from AMF *_BIF_*.xlsx or BIF CSV files, especially for crop sites where management details live in GRP_DM_* records and DM_COMMENT fields.

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Create a detailed, phased implementation plan with documentation discovery. Use when asked to plan a feature, task, or multi-step implementation — especially before executing with do.

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Execute a phased implementation plan using subagents. Use when asked to execute, run, or carry out a plan — especially one created by make-plan.

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Responde dimensão, proporção, área segura, tipografia mínima e contagem de slides por plataforma. Use quando o usuário perguntar "qual o tamanho", "que dimensão", "quantos slides", "área segura", "cabe texto onde", "especificação do formato", ou quando outra skill precisar validar medidas. Fonte única desses números.

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Compõe a peça final no Figma sobre os ativos gerados — texto, marca, layout e grid. Camada OPCIONAL: use quando houver Figma conectado e o time precisar do arquivo editável. Dispara em "montar no Figma", "compor a peça", "colocar o texto na imagem", "aplicar a marca", "arquivo editável". Sem Figma, entrega especificação de composição.

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Traduz copy aprovada em conceito visual — ideia central, hierarquia, sistema de peças e especificação de ativos. Use quando o usuário disser "como fica visualmente", "conceito da campanha", "direção de arte", "qual a ideia da peça", "transformar a copy em criativo", ou antes de montar qualquer coisa no Figma. É a ponte entre pwdev-copy e a produção.

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Revisa e melhora copy existente através de 7 passes focados (clareza, voz, e daí, prove, especificidade, emoção, risco zero) somados à detecção determinística de padrões de escrita de IA. Use quando o usuário disser "revisar copy", "melhorar esse texto", "revisão", "está parecendo IA", "polir", "dar uma olhada nesse texto", "feedback de copy", ou logo após qualquer skill copy-* gerar um rascunho. Não reescreve do zero — aprimora preservando a mensagem central.

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Genera o actualiza una especificación SDD (spec.md) para HagamosTech. Úsala cuando haya que definir una nueva funcionalidad o vertical antes de tocar código, entrevistando al usuario y produciendo requisitos funcionales en notación EARS. Trigger: crear/actualizar spec, nuevo requisito, /spec.

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Run an extremely strict maintainability review for abstraction quality, giant files, and spaghetti-condition growth. Use for a thermo-nuclear code quality review, thermonuclear review, deep code quality audit, or especially harsh maintainability review.

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COMPLETE BUG INVESTIGATION WORKFLOW — Combines screenshot + log reading into a full triage pipeline. USE FOR: any bug report that has both visual symptoms AND runtime errors, especially CompositePanel / ChildPanel mount failures, screen spec wiring breaks, or battle scene UI crashes. This is the master debugging workflow that orchestrates cocos-screenshot and cocos-log-reader together.

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Idiomatic Go - package and interface design, error wrapping, table-driven tests, generics, the modern standard library (slices/maps/cmp/errors.Join), current syntax, and logging discipline. Use when writing, reviewing, or refactoring any Go code, especially code drifting toward Java/Spring shapes (deep layer trees, generic repositories, heavy frameworks) - even if the user never says "idiomatic". Distilled from spf13/go-skills and adapted to this repo.

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Build, validate, and troubleshoot deep links for Codex, Cursor, VS Code, Visual Studio, and similar tools. Use when users ask for clickable links (especially in Slack) that open threads, files, folders, or app settings.

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