'processor' 검색 결과

Design document processing pipelines for extraction and routing. TRIGGERS - Use when user needs help with ai-document-processor related tasks.

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Build AI audio processing pipelines. TRIGGERS - Use when user needs help with ai-audio-processor related tasks.

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Build AI batch processing systems for scale. TRIGGERS - Use when user needs help with ai-batch-processor related tasks.

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Convert an existing find-XXXX SKILL.md into a preprocessor Python script, updating configs/<GAMEVER>.yaml and removing the old SKILL.md. Covers xref-string-based and LLM_DECOMPILE-based discovery patterns.

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Create a new find-XXXX preprocessor Python script from scratch (no existing SKILL.md), add configs/<GAMEVER>.yaml skill and symbol entries. Covers xref-string-based and LLM_DECOMPILE-based discovery patterns. Use when a GitHub issue or user instruction specifies a new function to find.

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Helps contributors develop and fix Airflow’s Java SDK for JVM tasks. Explains public API boundaries, JAR packaging, Python coordination, communication schema updates, and the test commands used to validate changes.

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• Adding features or fixing bugs in the Java SDK
• Reviewing public API and internal implementation boundaries
• Investigating JAR discovery and JVM startup failures

Create breadboard layout diagrams with HTML5 Canvas to show electronic components and wire connections. Use the skill for LED circuits, 555 timers, and 6502 computer projects, with component references, labels, and color-coded wiring.

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• Plan component placement for an LED circuit
• Draw a breadboard layout for a 555 timer
• Visualize wiring for a 6502 computer

Deploy and configure Snort 3 to detect suspicious network traffic. Create custom detection rules, tune community rules to reduce false alerts, test them against captured traffic, and forward alerts to a central security monitoring platform.

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• Deploy intrusion detection at network boundaries
• Write rules for organization-specific threats
• Reduce noisy or false alerts

Turns sales and stock data into a reorder plan with quantities, costs, and estimated stockout dates. Prepares supplier purchase orders, email drafts, and accounting memos for later invoice checks, while flagging slow stock and requiring approval before sending.

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• Estimate stockout dates and reorder quantities
• Prepare purchase orders and supplier email drafts
• Keep accounting memos for future invoice checks

Process vendor bills, assign accounting categories, check cash forecasts, and prepare a payment run for approval. Separate approvals for recording bills and paying them help owners review both the accounting entries and the proposed spending.

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• Process a backlog of vendor bills
• Check available cash before paying bills
• Prepare this week's payment list

Prepare accountant review materials from closed books: US quarterly estimated tax calculations or year-end contractor payment lists. The output records assumptions, flags missing W-9 forms containing taxpayer details, and highlights payment processor records that need review.

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• Preparing quarterly estimates from closed books
• Compiling contractor payment lists for 1099 preparation
• Finding missing W-9 forms and taxpayer details

Coordinate month-end reconciliation, owner sign-off, and a 30/60/90-day cash forecast based on closed books. Combine the results into a reporting packet with financial explanations and open items, with approval required before external delivery.

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• Reconcile monthly books against payment data
• Explain changes in revenue and margin
• Refresh cash forecasts using closed-month figures

Process vendor bills from email, PDFs, or photos into proposed accounting entries and a payment plan. Checks duplicates, assigns accounts and jobs, matches purchase and receiving records, and requires separate approval for ledger entries and payments.

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• Organize accumulated email, PDF, and photographed bills
• Check duplicate invoices and purchase discrepancies
• Assign expenses to accounts and jobs

Finds the base image needed to create a custom GKE node image. It translates requirements such as GKE version, operating system, processor architecture, accelerators, and sandbox settings into a matching image name.

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• Finding a base image for custom GKE nodes
• Looking up images for GPU or TPU configurations
• Matching images to COS, Ubuntu, ARM64, or X86_64

Explore computer architecture and circuit design settings by repeatedly running programs, measuring results, and adjusting parameters. Compare configurations against a baseline, respect design constraints, and receive a report with the best configuration found and the search history.

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• Tune cache sizes and processor settings
• Reduce circuit area while meeting timing constraints
• Compare compiler flags for runtime or code size

Explore hardware and electronic design configurations by repeatedly running programs, measuring results, and adjusting parameters. Track constraints and every trial, then report the best configuration found within the time and iteration limits.

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• Tuning cache sizes and processor configuration
• Reducing circuit area while meeting timing constraints
• Comparing compiler flags for runtime or code size

Optimize and troubleshoot MNN's Hexagon DSP backend, which runs computation on a dedicated processor. The workflow uses device measurements to identify bottlenecks, compare v79 and v81 architectures, verify correctness, and investigate crashes or memory usage.

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• Finding bottlenecks in Hexagon operators
• Checking changes on v79 and v81 devices
• Investigating cDSP crashes and device disconnects

Diagnose errors and incorrect inference results in MNN's QNN backend for Qualcomm HTP processors. Compare intermediate calculation data against CPU results to locate the first faulty operator, distinguish bugs from precision limits, and guide operator support and performance fixes.

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• Investigate QNN runtime and model conversion errors
• Find the first operator producing incorrect results
• Distinguish implementation bugs from numerical precision limits

Review a data processing agreement against internal review standards, using the appropriate criteria for your company's role. Receive a clause-by-clause memo with risks, proposed edits, fallback positions, and inconsistencies with privacy policy commitments.

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• Reviewing a customer's data processing agreement
• Checking a vendor's data protection terms
• Finding conflicts with privacy policy commitments

Review SaaS subscription terms against your team's standards, covering renewals, price increases, data export, and service availability commitments. Examine AI training rights and liability, with findings rated for both legal risk and business impact.

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• Checking renewal dates and cancellation deadlines
• Reviewing price increases and data export terms
• Examining AI training rights and liability limits

Convert, resize, and compress videos and images, including batches of files. Combine steps such as scaling and compression, specify output formats and quality settings, and check that the resulting files match the requested parameters.

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• Convert AVI videos to MP4
• Batch-convert PNG images to JPG
• Resize and compress videos for sharing

Add a white, twinkling dotted trail that follows the mouse behind website content. The skill guides WebGPU rendering, which uses the graphics processor, with static backgrounds for unsupported devices and accessibility preferences.

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• Add a mouse-following trail to a hero section
• Create an interactive contact section background
• Keep a static background on touch devices

Assess file upload and import features for weaknesses in file checks and processing. The skill covers extension and content-type bypasses, unsafe image and document handling, archive extraction flaws, and evidence needed to confirm execution or browser-side impact.

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• Testing avatar and attachment uploads
• Checking Office document and ZIP imports
• Assessing image and video processing

Prepare research papers for RAG, a method that supplies retrieved documents to AI. Download PDFs, extract and split text, and build a local searchable database, with parallel processing for document batches.

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• Build a RAG document collection from selected research papers
• Download and extract text from batches of paper PDFs
• Create a local vector database without paid embedding APIs