'rop' 검색 결과

Develop and update MicroPython apps on an already provisioned Cardputer-Adv. Add apps to its launcher, transfer individual changed files without reflashing, inspect serial logs, and run a single command through the device’s interactive Python console.

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• Add a small app to the device launcher
• Transfer a changed Python file without reflashing
• Watch device logs while checking behavior

Test whether API users can read or change fields beyond their permissions. Examine responses for sensitive data, inject extra request fields to check unauthorized updates, and use explicit lists of allowed fields to guide fixes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check API responses for excessive sensitive data
• Test whether added request fields allow unauthorized updates
• Compare field access across user privilege levels

Extend the amount of text a language model can process at once. Compares RoPE, YaRN, ALiBi, and position interpolation, with implementation examples, additional training guidance, and memory optimization approaches for long document processing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extend an existing model to handle longer inputs
• Compare methods for representing token positions
• Plan additional training with long documents

Review proposal responses for missing requirements, compare competing products, and plan proof-of-concept trials that test customer needs. Supports technical sales work from requirement discovery and demo preparation through evaluation scorecards and technical proposals.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking proposal responses for missing requirements
• Comparing product features against competitors
• Preparing a demo around customer priorities

Automate Google Analytics administration through its Admin API. Manage accounts, properties, data streams, custom dimensions for additional analysis fields, event settings, and product links, with guidance on authentication and official client libraries.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• List accessible accounts and properties
• Create properties and configure data retention
• Manage custom dimensions and key events

Strengthen existing tests with fast-check by checking properties across generated inputs. Find bugs that example tests miss and reduce failing inputs to small, reproducible cases. Property testing is available; the other listed workflows remain planned.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking parser behavior across generated inputs
• Testing serialization and deserialization round trips
• Finding pure functions covered only by example tests

Create image prompts that show a single prop against a plain white background. Translates physical details into product photography instructions covering accurate proportions, complete framing, suitable viewing angles, and soft studio lighting.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn a prop description into a white-background image prompt
• Specify materials, colors, and wear marks
• Choose overhead views for paper props

Find and read files across personal, team, and shared Dropbox folders. Download documents, upload new files, create sharing links, and organize files, with approval required before changes are made.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find documents in team and shared folders
• Read and download stored files
• Upload reports and create sharing links

Draft structured RFCs, proposals for gathering feedback before a major decision. Organize background, weighted criteria, alternatives, costs, and a recommendation so stakeholders can compare choices and understand the reasons for the proposed direction.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Proposing a database migration
• Reviewing changes to team workflows
• Comparing tools or vendors

Refresh the current snapshot of official Anthropic documentation while keeping the baseline unchanged. Use the returned preview to check differences against that baseline, then access a separate command for the full detailed comparison.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Refreshing a saved copy of official documentation
• Updating the current version while keeping a baseline
• Previewing changes before a detailed comparison

Create a daily briefing combining changes in official Anthropic documentation with guide updates and CC CLI releases from the last 24 hours. Review added, removed, or modified sections alongside links to the original sources.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking daily changes in official Anthropic documentation
• Reviewing guide updates and CC CLI releases from the last 24 hours
• Reading documentation and release updates in one briefing

Fetch official documentation from Anthropic and save local snapshots through an MCP tool. Initialize both baseline and current copies, then report the section count and storage path so later refreshes can be compared against the baseline.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Saving an initial local copy of official documentation
• Establishing a baseline for later document comparisons
• Checking the section count and snapshot location

Configure and troubleshoot custom build logic in MSBuild. Check hooks, import order, control properties, and NuGet package layouts to explain why extension files are missing, skipped, or replaced, including paths for specific target frameworks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating MSBuild extensions that fail to load
• Controlling the order of imported extension files
• Checking NuGet build extension package layouts

Prepare architecture proposals before implementation so the team can agree on a direction. Organize evidence, technical choices, effects on existing work, risks, and the first release’s scope into a document with clear recommendations and decision owners.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Proposing a major architecture change
• Replanning milestones after a foundation change
• Comparing technical options before seeking approval

Turn a financial economics research idea into a structured, 12-part empirical proposal. It outlines hypotheses, matching data sources, methods for testing causal effects, illustrative results tables, and robustness checks, while examining the study’s contribution.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting a financial economics research proposal
• Finding Chinese and international data sources
• Planning tests of causal effects

Review whether a proposal, specification, or design decision addresses the right problem and follows from its goals and constraints. Receive prioritized findings with supporting evidence, confidence, and concrete alternatives or questions that would resolve each concern.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking whether a proposal addresses the real problem
• Testing a specification against its goals and constraints
• Comparing alternatives and long-term maintenance costs

Turn an accepted feature proposal into an implementation specification grounded in existing code. Define scope, explain design decisions, track unresolved questions, and document migration steps and tests, with implementation tasks added when the work is approved for building.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn an accepted proposal into an implementation specification
• Record design choices and unresolved questions
• Plan migration stages and test coverage

Write Python tests with Hypothesis that generate varied inputs and check properties, rules that should always hold. Discover edge cases, reduce failures to simpler examples, and save failing inputs for replay alongside conventional tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding edge cases in parsers and input handling
• Checking mathematical properties across many inputs
• Testing data encoding and decoding round trips

Install and configure Anthropic Claude SDK authentication for Python and TypeScript. Use when setting up a new Claude API integration, configuring API keys, or initializing the Anthropic SDK in your project. Trigger with phrases like "install anthropic", "setup claude api", "anthropic auth", "configure anthropic API key", "claude sdk setup".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Make a crop or livestock insurance claim after drought, flood, pests, disease or hail: report it in time, record the loss properly, and follow up or appeal if the payout is too low or refused. Use when someone says 'my crop failed, how do I claim', 'the insurance company rejected my crop claim', 'what proof do I need for a crop loss', or 'how do weather-index insurance payouts work'. Produces a claim timeline, an evidence checklist, a loss record, a notification message, and an appeal plan.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Convert English-language properties in PROPERTIES.md (produced by the Fizz skill) into Solidity assertions inside the existing fuzz harness, then flip their checkboxes. Trigger on "fizz-convert", "convert properties", "implement properties from PROPERTIES.md", "convert PROPERTIES.md to Solidity".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens). SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Automatically infer formal correctness properties from Verilog/SystemVerilog RTL code and generate SystemVerilog Assertions (SVA). Identifies control-flow invariants (mutual exclusion, valid-ready handshakes, pipeline ordering, safety properties), liveness expectations, and temporal properties. Use when working with RTL designs that need formal property generation, when adding assertions to existing RTL, or when users ask to infer properties, generate assertions, or create formal specifications from hardware designs.

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Generate test cases using metamorphic testing by applying transformations based on metamorphic properties. Use when you need to expand test suites, test programs without oracles, validate mathematical or algorithmic properties, or detect subtle bugs through input-output relationships. The skill takes a program, original test cases, and metamorphic properties as input, generates new test cases by applying transformations, executes tests, verifies outputs satisfy properties, reports violations and anomalies, and outputs an expanded test suite with property coverage summary. Supports multiple programming languages and property types.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.