Results for “structure”

Collaborates with users to design structured development plans broken into testable commits, with research and clarification steps.

Analyzes file systems to find duplicates, suggest folder structures, and automate cleanup tasks with user approval.

Serve LLMs and VLMs with structured outputs, prefix caching, and high throughput using RadixAttention.

Turns websites into CLI commands, reusing an existing Chrome login session for browser-backed data extraction and structured output.

Adds, fixes, and optimizes schema.org structured data (JSON-LD) for rich results, including validation and implementation guidance.

Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.

Select and configure a structured discussion protocol matched to the purpose, topic, and group readiness. Use when planning classroom discussions, Socratic seminars, or structured debate.

Layout component for building page structures with header, content, footer, and sider. Invoke when user needs to implement page layouts, sidebars, or application structure in Naive UI.

Project Tracking — Structured Active Project Files

Design, optimize, and communicate SaaS pricing — tier structure, value metrics, pricing pages, and price increase strategy.

Implement schema.org structured data markup to help search engines understand content and enable rich results in search.

Configures monitoring systems, implements structured logging pipelines, creates Prometheus/Grafana dashboards, defines alerting rules, and instruments distributed tracing.

Design and evaluate programmatic SEO strategies for creating SEO-driven pages at scale using templates and structured data.

Use when evaluating the free energy (kcal/mol) of an RNA secondary structure, calculating co-folding energies for two RNA strands, or analyzing consensus structures from multiple sequence alignments.

Analyze engineering delivery throughput, hiring funnel health, team structure, and production discipline for startup VPEs and founders.

Organizes files and folders by analyzing structure, finding duplicates, and proposing logical groupings, with user approval before any changes.

Detects, validates, and generates Schema.org structured data, preferring JSON-LD, with guidance on supported types and common errors.

Enforces system design, project structure, dependency management, error handling, testing, and documentation standards at principal-engineer level.

Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library

Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library

Trigger: REST API, GraphQL schemas, HTTP methods, RFC 7807, endpoint structure, API contracts. Scope: API schema design, error models, request/response structures. Boundary: Excludes client-side visual layouts.

Working effectively with JSON data structures.

The entire workflow structure to follow during development.

Extract structured fields from p45 documents.

Extract structured fields from p60 documents.

Extract structured fields from 1098 documents.

Extract structured fields from p11d documents.

Extract structured fields from ct600 documents.

Extract structured fields from sa100 documents.

Extract structured fields from vat100 documents.

Extract structured fields from factura documents.

Extract structured fields from facture documents.

Extract structured fields from rechnung documents.

Extract structured fields from seikyusho documents.

Send Structured Feedback to the Framework Maintainers

Access the RCSB Protein Data Bank (PDB) for EXPERIMENTALLY determined 3D structures (X-ray, cryo-EM, NMR) of proteins and nucleic acids — searching by text, sequence, or structure similarity and downloading coordinates in PDB/mmCIF format with metadata. Use when retrieving a structure by PDB ID, running sequence or structure similarity searches, or obtaining experimental coordinates for structural biology and drug discovery; for AI-PREDICTED structures of proteins lacking experimental data prefer alterlab-alphafold-db, and for protein sequences, annotations, or accession ID mapping prefer alterlab-uniprot instead. Part of the AlterLab Academic Skills suite.