'functions' 검색 결과

Route business questions to relevant executive advisor roles, coordinate discussions across multiple functions, and combine their findings into clear agreements, disagreements, and action items. Record decisions and flag approved decisions that are due for review.

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• Comparing fundraising with spending cuts
• Reviewing decisions across several business functions
• Clarifying conflicting advisor opinions

Create or modify Handsontable cell renderers, functions that control cell appearance. It guides safe text and HTML handling, accessible cell attributes, content placement, and caching choices for expensive rendering work during scrolling and redraws.

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• Creating a custom cell renderer
• Reviewing safe text and HTML display
• Investigating row height changes after rendering

Create or modify Handsontable cell validators, functions that check whether input values are valid. Covers empty values, asynchronous callbacks that return validation results, access to cell settings, validator registration, and pitfalls involving dropdown behavior and corrected values.

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• Creating a custom cell validation rule
• Reviewing empty values and asynchronous validation
• Checking dropdown validation in never-selected cells

Write and debug code for further training large language models with TRL. Match training methods to dataset formats, configure supervised or preference-based training, and set up reward functions through Python or the command line.

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• Training a language model on example responses
• Training with preferred and rejected response pairs
• Debugging GRPO reward functions and batch settings

Guides reinforcement learning, where models learn from rewards, using torchforge and PyTorch. Covers reward design, custom loss functions, and distributed training so researchers can experiment with algorithms while keeping infrastructure concerns separate.

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• Train mathematical reasoning models with GRPO
• Experiment with custom loss functions
• Scale training across multiple GPUs or nodes

Audit PHP and other source code by listing calls to known dangerous functions, checking for enumeration gaps, and examining input paths and safeguards. Store risk assessments and verdicts in a searchable audit ledger.

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• Security reviews of PHP apps and WordPress plugins
• Checking for missed calls to known dangerous functions
• Tracing external input to risky operations

Create and maintain code comments, API specifications, documentation sites, and user guides. Apply consistent formats, document parameters and errors, validate code examples, and report which parts of the code have been documented.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add explanations to public functions and classes
• Create API specifications and reference pages
• Build a documentation site

Write and debug code for further training large language models with TRL. Match training methods to dataset formats, configure supervised or preference-based training, and set up reward functions through Python or the command line.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Training a language model on example responses
• Training with preferred and rejected response pairs
• Debugging GRPO reward functions and batch settings

Create reference documentation directly from source code for public functions, classes, command-line commands, and endpoints. Organize parameters, defaults, return values, errors, and runnable examples, then check that the documentation matches the implementation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Writing reference docs for a public module
• Documenting command-line arguments and defaults
• Adding minimal usage examples for an API

Find where code lives, understand how it works, and trace connections between functions using a repository index. Results include file locations and line numbers to help plan edits and assess which other code a change could affect.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understanding an unfamiliar codebase
• Finding where a behavior is implemented
• Checking the impact of renaming a function

Find where code lives, understand how it works, and trace connections between functions using a repository index. Results include file locations and line numbers to help plan edits and assess which other code a change could affect.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understanding an unfamiliar codebase
• Finding where a behavior is implemented
• Checking the impact of renaming a function

Set up login, user management, and access rules in a Convex app. The skill connects the chosen authentication provider, links signed-in identities to app users when needed, and protects backend functions with identity and permission checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding login to a new Convex app
• Connecting an existing authentication provider
• Linking signed-in identities to app user records

Review code in a convex/ directory for security, access control, input and output validation, performance, and schema design. Receive findings grouped by severity, with explanations of each issue and suggested fixes before release.

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• Reviewing Convex functions before release
• Checking authentication and resource access controls
• Finding inefficient queries and missing validation

Add recurring jobs to a Convex app by scheduling internal functions in convex/crons.ts. The skill guides interval selection, keeps each run small and safe to repeat, and checks that the schedule appears in the dashboard.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add recurring jobs to a Convex app
• Choose intervals for scheduled internal functions
• Make recurring handlers safe to run again

Write and review Go tests using patterns suited to functions, file operations, and terminal interfaces. Cover multiple scenarios, check state changes, and compare rendered output with saved expected results while keeping slow integration tests separately skippable.

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• Testing Go functions and parsers across multiple cases
• Checking file operations in temporary directories
• Testing Bubbletea state changes and interactions

Build Native SDK app logic in TypeScript using explicit state, messages, and update functions. Explains the supported language subset, compiler diagnostics, module organization, and tests for logic that compiles directly into native code.

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• Designing state and messages for a new app
• Fixing unsupported TypeScript constructs
• Splitting app logic into modules

Build dashboard panels in vanilla TypeScript with resizing, saved layout state, loading indicators, and retry controls. Examples also show how to wrap existing data-fetching functions with caching and temporary request pauses after repeated failures.

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• Building dashboard panels in vanilla TypeScript
• Saving panel sizes across page reloads
• Adding retry controls to failed data requests

Build dashboard panels in plain TypeScript with automatic retries, saved panel settings, and clear error states. Keep panel-specific helper functions in the same file to make each component easier to understand and maintain.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a panel that retries failed data requests
• Save panel dimensions and expanded or collapsed state
• Keep time and status formatting helpers beside panel code

Build sidebars and widgets that receive data updates from their caller. This skill uses a single shared module instance, separate creation and update functions, and stored references to page elements for partial updates.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a sidebar that updates frequently
• Display data supplied by an external controller
• Update selected page elements without rebuilding the whole widget

Investigate Python failures in a sandbox, an isolated execution environment, by capturing partial logs, testing functions separately, and checking output files one at a time. Use the findings to identify failing steps and rebuild a working script.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate failures with missing or incomplete output
• Isolate a failing function in a large script
• Verify multiple generated files one at a time

Build a graph of functions and calls across multiple programming languages to investigate entry points, paths to sensitive operations, and potential impact. Use the results to prioritize security reviews and connect external findings with source code.

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• Tracing call paths from entry points to sensitive functions
• Prioritizing code for a security audit
• Connecting calls across language and RPC boundaries

Create Mermaid diagrams from code relationships parsed by Trailmark. Visualize function calls, class inheritance, module dependencies, class members, complexity hotspots, and paths from inputs to sensitive functions, with adjustable focus, depth, and layout.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Mapping function calls around a selected function
• Visualizing class inheritance and members
• Drawing module dependency maps

Inspect DWARF, the debug information stored with compiled code, to find functions and types, check structural integrity, and clarify specification details. Also helps write parsing tools using libraries such as pyelftools, libdwarf, or gimli.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding functions and types in debug information
• Checking DWARF structural integrity
• Comparing debug-information quality metrics

Assess AWS, Azure, and GCP environments by identifying identities, permissions, and paths to broader access or data exposure. Covers cloud storage, secrets, cross-account trust, and CI/CD, the automated systems used to build and deploy software.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning an AWS, Azure, or GCP security assessment
• Tracing privilege escalation from current permissions
• Reviewing CI/CD credentials and OIDC trust settings