「iste」の検索結果

Validate CWICR data quality and estimate inputs. Check for errors, inconsistencies, outliers, and missing data.

日本語の概要は準備中です。原文の説明を表示しています。

Generative design for construction: text-to-BIM concepts, option generation, and AI-assisted design iteration with cost and carbon feedback. Use when exploring early design options with AI.

日本語の概要は準備中です。原文の説明を表示しています。

Converts bank, credit card and brokerage statement PDFs, invoices and vendor price lists into clean CSV or Excel, then proves the extraction is complete and correct - opening balance plus transactions equals closing balance, every running balance chains, page totals, row counts and summary totals all tie, signs and decimal separators are consistent. Handles digital PDFs with word-position column bands and detects scanned PDFs that need OCR first. Use it whenever the user wants to convert a bank statement PDF to Excel or CSV, extract transactions from a statement, turn a PDF table into a spreadsheet, import statements into QuickBooks or Xero, or says the converted statement does not balance, rows are missing, or signs look wrong, even if they do not ask for a proof. Never reads amounts off the page image when a text layer exists, and never fixes a failed tie-out by guessing.

日本語の概要は準備中です。原文の説明を表示しています。

Create structured podcast episodes. Segment timing, debate points, hot takes, listener questions, ad break placement.

日本語の概要は準備中です。原文の説明を表示しています。

Audits business spreadsheet models (.xlsx, .xlsm, or Google Sheets exported to .xlsx) for structural integrity errors and explains each fix -- budgets, forecasts, pricing models, commission calculators, FP&A packs, ops trackers, not only banking models. A bundled openpyxl script finds hardcoded numbers inside formulas, typed values pasted over formulas, inconsistent formulas across a row or column,

日本語の概要は準備中です。原文の説明を表示しています。

Create standardized UTM tracking for all campaigns. Ensure consistent naming conventions across team and generate tracking reports.

日本語の概要は準備中です。原文の説明を表示しています。

Implement proven sales methodologies (MEDDIC, BANT, Sandler, Challenger, SPIN) across your team. Generate framework-specific questions, score deals, train reps, and enforce consistent qualification. Use when implementing or optimizing sales processes.

日本語の概要は準備中です。原文の説明を表示しています。

Get a local business found on Google -- audit and optimize the Google Business Profile, local pack ranking factors, review velocity, NAP consistency across directories, and location pages. For businesses whose customers search "near me," this outranks everything else in marketing.

日本語の概要は準備中です。原文の説明を表示しています。

Cowork-style cleanup of a messy folder or shared drive -- classifies every file, proposes a target structure, renames to a consistent convention, deduplicates, and writes an index. Use on Downloads, Desktop, client folders, or team shared drives.

日本語の概要は準備中です。原文の説明を表示しています。

Turn a process walkthrough -- meeting transcript, screen-recording transcript, rough notes, or a folder of scattered how-to docs -- into a clean standard operating procedure: numbered steps, roles, decision points, exceptions, and a consistent template across your whole SOP library.

日本語の概要は準備中です。原文の説明を表示しています。

Convert a light-only site or app to a real dark mode -- semantic token mapping, elevation-based surfaces, recalibrated shadows and imagery -- not a naive inversion. Handles Tailwind, CSS variables, and styled-components, plus the toggle, persistence, and no-flash boot.

日本語の概要は準備中です。原文の説明を表示しています。

Use to test whether an AI agent, prompt, or skill actually works before or after it ships — build a small eval set, score runs, and catch regressions when the prompt or model changes. Trigger when the user asks whether a prompt is good, wants to compare models or versions, sees inconsistent agent output, or is about to put an agent in front of customers.

日本語の概要は準備中です。原文の説明を表示しています。

Generate a complete, premium design system from a brand brief or an existing site — color tokens, type scale, spacing/radius/elevation, motion language, and component specs — exported as Tailwind config, CSS variables, and a usage doc. Built to look editorial and human-crafted, not template-generated. Use when starting a new product/site, unifying an inconsistent UI, or codifying a brand into reusable tokens.

日本語の概要は準備中です。原文の説明を表示しています。

Scan documents and slides for off-brand colors, fonts, and logos. Validate against brand guidelines and suggest corrections.

日本語の概要は準備中です。原文の説明を表示しています。

Runs small and midsize business bookkeeping operations - categorizes bank and card transactions to a chart of accounts, reconciles a bank or card statement against the ledger, works a month-end close checklist, and produces a close package for the accountant. Works from QuickBooks Online, Xero, bank CSV/OFX, or Mercury exports, and from the Xero, QuickBooks, or Mercury connectors when present. Use it whenever the user says "reconcile", "bank rec", "categorize transactions", "month end close", "close the books", "books don't match the bank", "reconciliation is off by", "uncategorized expenses", or shares a QuickBooks or Xero export or a bank statement CSV, even if they do not name the task. Never plugs a difference; every unreconciled dollar is explained or listed.

日本語の概要は準備中です。原文の説明を表示しています。

Unity Catalog metric views: define, create, query, and manage governed business metrics in YAML. Use when building standardized KPIs, revenue metrics, order analytics, or any reusable business metrics that need consistent definitions across teams and tools.

日本語の概要は準備中です。原文の説明を表示しています。

Use when a manuscript needs a copy-edit for consistency and non-native English clarity. Flags abbreviation, US/UK spelling, en-dash range, P/p, hyphenation, number-style and unit-spacing issues, then polishes style only. AI-tell removal is /humanize.

日本語の概要は準備中です。原文の説明を表示しています。

Use when clinical data may contain PHI and must be de-identified before any LLM-assisted analysis. A local Python script (no network or AI calls) detects identifiers with regex and heuristics in 12 country locale packs, with interactive terminal review.

日本語の概要は準備中です。原文の説明を表示しています。

Improves a voice profile by learning from manual edits. Use after editing generated text to refine registers and close voice drift over time.

日本語の概要は準備中です。原文の説明を表示しています。

Extracts a user's writing voice from text samples via SICO comparative analysis. Use when building a voice profile for consistent generation.

日本語の概要は準備中です。原文の説明を表示しています。

Generates text in a learned writing voice. Use when drafting content that must match a specific author's style profile extracted by voice-extract.

日本語の概要は準備中です。原文の説明を表示しています。

Applies an ASD-STE100-derived register to operator and procedural text. Use when writing runbooks or steps. Do not use for docstrings, ADRs, or rationale.

日本語の概要は準備中です。原文の説明を表示しています。

Extracts writing style patterns from exemplar text into a reusable profile. Use when creating a style guide or learning a specific author's voice.

日本語の概要は準備中です。原文の説明を表示しています。

Makes agent reasoning visible, surfaces tradeoffs, and fades help so humans build judgment. Use when reviewing or learning from agent-written code.

日本語の概要は準備中です。原文の説明を表示しています。