Results for “receipts”

Points to the standalone module steuer-assistent: a local, offline-first receipt worksheet for German employee income-related expenses (Werbungskosten) -- record, sum to the cent, private ZIP export. Use this skill when Werbungskosten receipts should be prepared in a structured way -- with a clear boundary: not tax advice, no deductibility check, no creation or submission of a tax return (that happens via ELSTER or approved software).

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Design text extraction for forms, invoices, and quizzes using regex, rules that match text patterns. Check extraction confidence and send uncertain items to an LLM for review, with guidance on testing and tracking processing costs.

• Extracting quiz questions, choices, and answers
• Designing extraction for forms and invoices
• Choosing between regex and an LLM

Set up human approval for agent-drafted messages to customers or partners. Bind decisions to exact text and destinations, record delivery evidence, and prevent outdated approvals or competing workers from triggering unintended sends.

• Require approval before sending customer replies
• Keep an audit trail of approved text and delivery
• Prevent old approvals from releasing revised drafts

Access paid APIs using Machine Payments Protocol (MPP), a protocol for request payments. The skill checks payment requirements, selects a compatible wallet or client, submits payment, and helps inspect the API response and receipt.

• Paying for an API request that returns HTTP 402
• Choosing a client for a payment method
• Finding paid services and setting spending controls

Helps implement document processing in TypeScript with Azure, extracting text, tables, invoice fields, and receipt details. Covers ready-made models, custom model training, document classification, authentication, and waiting for analysis results.

• Extracting text and tables from PDFs
• Reading invoice and receipt fields
• Training models for specialized documents

Build Java applications that extract text, tables, and fields from documents using Azure AI Document Intelligence. Covers ready-made models for invoices and receipts, custom model creation, document classification, authentication, and error handling.

• Extract text and tables from PDFs
• Read invoice and receipt fields
• Build models for custom document formats

Store and retrieve execution output, model responses, reports, and operation receipts in YYLO Ledger. Choose storage and retention settings, attach provenance describing the source, and verify immutable evidence using record identifiers and content digests.

• Preserving test reports and execution output
• Recording AI responses with their source information
• Storing operational plans and contracts as evidence

Learn how to check Claude Code tool calls against a policy and create digitally signed execution records. This walkthrough covers setup, offline verification, tamper demonstrations, and CI/CD integration before adopting the protect-mcp runtime plugin.

• Evaluate signed audit records before adopting runtime hooks
• Demonstrate offline verification and tamper detection
• Verify agent execution records in CI/CD

Compare a Chinese company's US depositary receipts, Hong Kong shares, and mainland shares after adjusting for exchange rates and share ratios. Analyze pricing gaps, valuation differences, and delisting risks to support research into its different listings.

• Compare A-share and H-share pricing gaps
• Measure ADR premiums against Hong Kong shares
• Review US delisting risks and Hong Kong listing alternatives

Create signed records for consequential agent actions such as deployments, deletions, and payments. Decide which actions need evidence, record the agent, action, target, and policy, then verify the resulting certificate offline to detect later changes.

• Creating signed records for production deployments
• Preserving evidence of deletions and payments
• Recording access grants for later review

Design how an AI agent edits its own working conversation history, choosing what to retain, rewrite, or remove. Covers safeguards, capacity monitoring, recovery after overflow, and the computing cost of changing earlier context.

• Designing agents that edit their own conversation history
• Preserving exact values during long tasks
• Recovering from context overflow

Guides agents through sending human decision requests and updates using registered recipients. It covers concise briefs, delivery checks, duplicate prevention, and linking replies to the correct work so that delivery receipts are kept distinct from human decisions.

• Sending a decision request with clear options
• Reporting an outcome that needs no action
• Investigating a failed or uncertain delivery

Handle payments for paid APIs and agent services through the onchainos CLI. The skill covers quoting charges, confirming payment details, submitting payments, reading receipts, and managing payment channels that support multiple requests.

• Pay for an API request that returns HTTP 402
• Review payment options before approving a charge
• Top up or close a payment channel

Design and build demos where agents pay for HTTP resources within approved budgets and expiry dates. Combines x402 request payments with delegated wallet permissions, covering payment checks, spending records, revocation, and dispute evidence.

• Build a paid API demo with an agent spending cap
• Design recurring payments with scoped wallet permissions
• Record signed receipts for payment disputes

Design a GenLayer review workflow for agents acting on a blockchain. Define evaluation criteria, evidence formats, decision outputs, and the connection needed to turn review decisions into restrictions or revocation of delegated authority.

• Define review criteria for delegated agents
• Structure action logs, receipts, and spending evidence
• Design decisions to continue, warn, constrain, or revoke

Build stablecoin transfers where the amount sent equals the amount received using LI.FI Intents. The skill covers quotes, token approval, escrow deposits, and order tracking for transfers within or across supported blockchains.

• Building a stablecoin swap interface with equal input and output amounts
• Adding cross-chain USDC or USDT transfers
• Implementing quotes, approvals, and escrow orders in a backend

Automatically organizes invoices and receipts for tax preparation by reading messy files, extracting key information, renaming them consistently, and sorting them into logical folders. Turns hours of manual bookkeeping into minutes of automated organization.

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[omh] Audio, video, or screenshot to process: user-sent media - audio, video, YouTube links, screenshots, receipts, OCR, meeting recordings, transcripts, timestamps, and clip summaries, gated for source, permission, and hallucination risk. Use when the user says: media-input-operator, media input operator, media input, audio transcription, audio transcript, transcribe audio, transcribe this audio, meeting recording.

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[omh] Buzz community agent setup or relay trouble: connect and operate Hermes as a native Buzz community agent, deliver local media with verified relay receipts, or diagnose a self-hosted Buzz relay without inventing transport evidence. Aliases: omh-buzz. Use when the user says: connect Hermes to Buzz, Buzz community agent, Buzz gateway setup, Buzz media attachment, Buzz relay self-hosting, Buzz connection diagnostics, 버즈 커뮤니티 연결, Buzz 메시지 첨부.

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Extract text, tables, and structured data from documents using Azure Document Intelligence (@azure-rest/ai-document-intelligence). Use when processing invoices, receipts, IDs, forms, or building custom document models.

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Azure AI Document Intelligence SDK for Java (com.azure:azure-ai-documentintelligence). Use for extracting text, tables, key-value pairs from documents, receipts, invoices, IDs, or building custom document models. Triggers: "document intelligence java", "form recognizer java", "extract text from PDF java", "OCR document java", "analyze invoice receipt java", "custom document model java", "document classification java".

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Build real-time chat applications with Azure Communication Services Chat Java SDK. Use when implementing chat threads, messaging, participants, read receipts, typing notifications, or real-time chat features.

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Use when the user asks to "plan an influencer campaign", "build a campaign blueprint", "track or close a creator campaign", or "record a late campaign correction"; produces the plan and, when requested, a non-canonical evidence tracker with scoped identity, publication, reconciliation, close, and reopen receipts. Not for individual creator briefs — use brief-generator; not for overall product launches without creators — use launch-tier-planner; not for sending, publishing, amplifying, or paying — use the owning execution workflow. 达人营销策划/种草方案/活动追踪与关账

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Establish a repeatable local Attio development loop with sanitized fixtures, a non-production workspace, explicit mutation switches, and cleanup receipts. Use when iterating on Attio mappings or API behavior. Trigger with "Attio local development", "Attio dev loop", or "test Attio locally".

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