Results for “structure”

Runs a structured quality control audit on codebases, covering tests, imports, static analysis, type checking, smoke tests, UI verification, file consistency, and documentation, producing a PASS/WARN/FAIL report.

Runs a structured code review using four parallel subagents covering style, correctness, security, and performance, then synthesizes findings by severity and gives an approve/needs-changes recommendation.

Runs a structured multi-agent deliberation: four specialist agents write independent position papers, two cross-examiners debate them, and the orchestrator synthesizes a final recommendation with implementation plan and risk register.

Analyzes content quality and E-E-A-T signals, scores readability, keyword use, structure, and AI citation readiness, and flags thin or outdated content.

Translates Google Stitch HTML/Tailwind designs into production-ready Flutter/Dart code, mapping structure, styles, and components to Material 3 and Atomic Design.

Implements a complete observability stack with Prometheus metrics, Grafana dashboards, Jaeger distributed tracing, and structured logging, including heartbeat-based absence detection for scheduled jobs on Google Cloud.

Analyze and optimize content for visibility in AI Overviews, ChatGPT, Perplexity, and other AI search systems by evaluating citability, structure, authority, and technical accessibility.

Conduct a structured interview about a feature or topic to gather requirements and produce a specification. This skill should be used when users want to think through a feature, clarify requirements, or create an implementation plan before coding.

Use when creating or editing a macOS LaunchAgent for a recurring or scheduled script. Covers plist structure, PATH resolution, multiple trigger times, the reload workflow, and which behaviors launchd already handles so they don't need to be rebuilt.

Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.

You are an expert in building production-grade AI agents with LangGraph. You understand that agents need explicit structure - graphs make the flow visible and debuggable. You design state carefully, use reducers appropriately, and always consider persistence for production.

Build or upgrade web forms to production quality: accessible structure, schema-driven validation, client↔server parity. Use when "improve this form", "form validation", "accessible form", "multi-step form", "form error handling", or "the form UX is bad".

Running a no-API on-page SEO audit of a URL or set of pages — title/meta tags, headings, schema.org structured data, internal links, image alts, canonicals, and Core Web Vitals pointers — using existing fetch/browser tools.

Custom board bringup for Zephyr RTOS using Hardware Model v2 (HWMv2). Covers directory structure, board.yml metadata, core configuration files (Kconfig, defconfig, CMake), and revision management. Trigger when creating new board definitions or porting Zephyr to custom hardware.

Structured data + RAG. NL2SQL hybrid patterns (text-to-SQL then execute vs embed rows), table embedding strategies (row-level, schema-level, hybrid), semantic layer integration (Cube, dbt metrics), LangChain SQLDatabaseChain, LlamaIndex PandasQueryEngine, safe SQL execution (read-only, sandboxed), schema-aware retrieval. Full PostgreSQL + pgvector hybrid code. USE WHEN: user mentions "tabular RAG", "NL2SQL", "text to SQL", "RAG on tables", "database RAG", "SQL RAG", "semantic layer", "structured data RAG" DO NOT USE FOR: unstructured doc RAG - use `rag-architecture`; metadata filtering only - use `self-querying-retriever`; KG retrieval - use `graph-rag`

Fetch any X/Twitter post as clean LLM-friendly JSON, converting x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics.

Generates a structured HTML prep file for the next working day by pulling calendar data via WorkIQ, classifying meetings, detecting conflicts, finding learning and deep-work slots, and providing productivity recommendations.

Guide a team through writing a structured, blameless post-mortem after a production incident, covering timeline reconstruction, root cause analysis, impact quantification, and action item generation.

Scrapes tweets from X (Twitter) by search query, user handle, or direct URL, returning structured data including text, author info, engagement metrics, media, and hashtags.

Collects tweets from an X (Twitter) user profile timeline by handle, supporting tweets, replies, or media-only modes, and returns structured data with engagement metrics and pagination.

Analyze Amazon competitor listings by ASIN to produce structured competitive intelligence and strategic opportunity points for your own go-to-market.

Discovers key contacts across industries, roles, and social platforms via the BrowserAct API, extracting structured profile data for lead generation and outreach.

Write scientific manuscripts in full paragraphs using IMRAD structure, with citations (APA/AMA/Vancouver), figures/tables, and reporting guidelines (CONSORT/STROBE/PRISMA) for research papers and journal submissions.

Builds a structured SOC incident response playbook for ransomware attacks covering detection, containment, eradication, and recovery phases with specific SIEM queries, isolation procedures, and decision trees.

Optimizes content for AI search systems like AI Overviews, ChatGPT, and Perplexity by analyzing citability, structure, authority, and technical accessibility, and producing a GEO analysis report.

Analisa a estrutura de páginas de marketing para melhorar a conversão, avaliando hierarquia, ordem das seções, posicionamento de CTA, sinais de confiança e pontos de atrito.

Implementa e valida dados estruturados schema.org em JSON-LD — Organization, Article, FAQPage, Product, BreadcrumbList. Use quando o usuário disser "schema", "dados estruturados", "JSON-LD", "rich snippet", "FAQ schema", "schema.org".

Takes pre-computed differential expression results from DESeq2, edgeR, limma, or PyDESeq2 and produces a structured, publication-ready summary with ranked gene lists, biological themes, and key observations.

Runs a structured interview that stress-tests a plan against the project's domain model, sharpens terminology, and updates CONTEXT.md and ADRs inline as decisions are made.

Monitors Drata compliance posture by querying the Drata public API for control status, evidence collection, personnel compliance, and asset inventory, then produces a structured audit-readiness report.

结构化业务数据分析：附件读取与口径核验、定向筛选、规则/阈值判定、指标异动归因、漏斗/留存/实验分析、经营复盘及可审计报告。当用户提供 Excel、CSV、PDF、图片或多份业务材料，要求查数、判异常、解释变化、比较方案或形成行动建议时使用。Use for evidence-grounded analysis of structured business data, including filtering, rule checks, reconciliation, diagnostics, experiments, and decision reports.

Apache ORC columnar storage format reference. File structure with stripes and indexes, schema types with evolution rules, compression codecs (ZLIB/SNAPPY/ZSTD), orc-tools CLI, Python/Java writer APIs, Hive ACID transactions, Spark integration, and performance tuning with bloom filters.

Generate a pull request title and well-structured markdown summary from the commits on the current branch. Use when the user wants to create or draft a PR description, asks for a PR summary, or says "suggest PR".

Use when the user mentions a daily note, asks to add a task to today's daily todos, or reads or writes any file under ~/Notes/Daily Notes/. Covers location, section structure, and what each section is used for.

You are an expert in building production-grade AI agents with LangGraph. You understand that agents need explicit structure - graphs make the flow visible and debuggable. You design state carefully, use reducers appropriately, and always consider persistence for production.

Optimizes form completion rates for lead capture, contact, demo request, application, survey, and checkout forms through structured audits and A/B test recommendations.