Results for “domain-extraction”

Advanced web search via Tavily through AIsa API. Supports search depth, topic filtering (general/news/finance), time ranges, domain inclusion/exclusion, and LLM-generated answers. Use when: the user needs web search, research, source discovery, or content extraction.

Distill learnings from a completed repo analysis into reusable knowledge base entries in ~/.copilot/context/. Use after finishing a repo-analysis to make the learnings persistent and searchable.

Extract parties, obligations, restrictions, permitted disclosures, and expiry dates from non-disclosure agreements.

Extract a DDD-style ubiquitous language glossary from the current conversation, flagging ambiguities and proposing canonical terms. Saves to UBIQUITOUS_LANGUAGE.md. Use when user wants to define domain terms, build a glossary, harden terminology, create a ubiquitous language, or mentions "domain model" or "DDD".

Extract property, unit, tenant, lease dates, rents, deposits, and occupancy fields from rent rolls.

Extracts a public-safe brand and offer profile for paid advertising from an authorized website and operator input.

Maintains a project's domain vocabulary and records architecturally-significant decisions as they're made — a CONTEXT.md glossary and gated ADRs, not passive documentation read once. Use when terminology conflicts or turns fuzzy, when making a decision that's hard to reverse/surprising/a real trade-off, or when a stated domain rule doesn't match what the code actually does.

Extracts tokens, typography, spacing, component states, assets, layout, responsive rules, and interactions from a UI reference.

Identifies recurring patterns across three or more domains to extract universal principles and apply them to new contexts.

Grilling session that challenges your plan against the existing domain model, sharpens terminology, and updates documentation (CONTEXT.md, ADRs) inline as decisions crystallise. Use when user wants to stress-test a plan against their project's language and documented decisions.

Extract structured fields from modello f24 documents.

Extract clean article content — title, author, date, and body text — from PDFs, Word docs, and web pages.

Extract structured fields from rechnung documents.

Extract brand identity from a website URL — voice, colors, typography, imagery, values, and target audience — into a structured brand-profile.json. The profile feeds downstream skills (seo-content-writer, email-composer, frontend-design, pro-deck-builder, cross-platform-audit) for brand-consistent output. Use when the user says brand DNA, brand profile, extract brand, analyze brand, brand voice, brand identity, brand colors, or brand style guide.

Extract property, owner, legal description, liens, mortgages, easements, and tax status from title search reports.

Extract text from PDFs and scanned documents. Use web_extract for remote URLs, pymupdf for local text-based PDFs, marker-pdf for OCR/scanned docs. For DOCX use python-docx, for PPTX see the powerpoint skill.

Fetch a published article from a URL and extract its title, headings, body content, and metadata into a markdown file the update pipeline can audit.

Add a new knowledge domain to your existing system. Derives domain-specific configuration through conversation, generates domain folders, templates, and vocabulary while preserving and connecting to your existing architecture.

Stress-tests a plan against the project's domain model and documented decisions, sharpening terminology and updating DOMAIN.md and ADRs inline as decisions crystallize.

Extract self-contained static HTML from a built web application or React components by inlining CSS and images.

Crawl a live website, extract its design system, brand surface, and page inventory, and save the snapshot under stardust/current/ for downstream redesign or migration.

Extract structured data from documents using AI-powered field extraction.

Extract employee, employer, earnings, deductions, tax, and net pay from Spanish or Latin American payroll slips.

Extract text from PDFs/scans (pymupdf, marker-pdf).

Build and sharpen a project's domain model. Use when the user wants to pin down domain terminology or a ubiquitous language, record an architectural decision, or when another skill needs to maintain the domain model.

Extract structured fields from 1099-nec documents.

Extract structured fields from p60 documents.

Extract structured fields from pit 11 documents.

Identifies recurring patterns across three or more domains to extract universal principles and apply them to new problems.

Extract paginated customer reviews from Trustpilot for any company domain, with optional filters for star rating, language, verification status, company replies, date period, keyword search, and reviewer country.

Extract typed JSON from public website pages using a schema.