'code generation' 검색 결과

Prepare .NET projects for Native AOT, compilation before execution, and trimming, which removes unused code. Use build warnings to guide type annotations, reflection changes, and source-generated JSON serialization, then check all target frameworks.

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• Preparing a .NET project for Native AOT
• Resolving IL warnings from trimming analysis
• Adding annotations to reflection code

Guide bug bounty work from target research and vulnerability hunting through validation and reporting. Compare authenticated users, investigate related weaknesses, and organize reproducible evidence of practical impact before preparing a submission.

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• Planning research for an authorized bug bounty target
• Comparing API access between two test accounts
• Reviewing source code for security weaknesses

Guide bug bounty work from asset discovery to validation and reporting, while resolving local locations of security tools, wordlists, and cloned projects. It covers web and AI security testing with an emphasis on demonstrated impact.

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• Locate installed security tools and wordlists
• Plan reconnaissance within a program's scope
• Investigate related weaknesses and their combined impact

Guides authorized security assessments with Metasploit, from scanning and vulnerability testing to payload generation, code used during a test, and post-exploitation investigation. It also covers session management and recording evidence of findings.

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• Checking vulnerabilities in an authorized test environment
• Finding modules for a specific CVE
• Reviewing system information after a test compromise

Work with PDFs to extract text, tables, and images, combine or split documents, rotate pages, and create new files. The guide also covers forms, watermarks, password protection, and OCR, which recognizes text in scanned pages.

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• Extracting PDF tables into Excel
• Combining documents or saving selected pages
• Recognizing text in scanned PDFs

Review and strengthen security in claude-flow v3 by addressing dependency risks, password hashing, credential generation, input validation, file paths, and command execution. It also guides threat modeling and tests for security-critical code.

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• Reviewing security boundaries and potential threats
• Updating dependencies and checking audit results
• Revising password hashing and credential generation

Create whiteboard diagrams, comparison images, logos, and social media visuals from text using Gemini 3 Pro Image. The skill helps turn requirements into detailed prompts, choose a resolution, and save generated images.

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• Summarize tutorial content as a whiteboard diagram
• Explore logo and icon design options
• Create a visual comparison of products or services

Audit changed code by tracing execution paths and matching them to existing tests. Show coverage gaps and test quality, then generate tests for high-priority gaps using the project's current framework, helpers, and naming conventions.

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• Find missing tests before shipping a PR
• Check coverage of error handling and guard clauses
• Generate tests using existing project conventions

Maintain Tika's registry of metadata keys, the names used for document attributes. Guides regeneration after key changes, checks generated files against code, applies naming rules, and finds outdated references after renaming.

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• Adding a Tika metadata key
• Renaming keys and finding outdated references
• Investigating metadata schema test failures

Explore research ideas through conversation, question assumptions, and connect approaches from different fields. Develop a broad set of possibilities, then assess promising directions and outline next steps such as pilot experiments or literature searches.

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• Exploring directions for an early research project
• Finding connections across scientific disciplines
• Questioning assumptions when research feels stuck

Create scientific diagrams from written descriptions using Nano Banana Pro. Gemini 3 Pro reviews accuracy, labels, and layout, triggering regeneration when scores fall below the chosen document threshold, up to the iteration limit.

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• Creating neural network architecture diagrams for papers
• Illustrating biological signaling pathways
• Preparing study participant flowcharts

Write and debug nvMolKit Python code for processing large molecule batches on GPUs. Covers molecular fingerprints, compact representations of molecular features, plus similarity calculations, 3D conformer generation, optimization, clustering, and molecular searches using RDKit objects.

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• Calculate fingerprints and similarities for large molecule libraries
• Generate and optimize batches of molecular conformers
• Cluster conformers by differences in their 3D structures

Golang OpenAPI/Swagger documentation with swaggo/swag — annotation comments (@Summary, @Param, @Success, @Router, @Security), swag init code generation, framework integrations (gin, echo, fiber, chi, net/http), security definitions (Bearer/JWT, OAuth2, API key), and struct tags (swaggertype, enums, example, swaggerignore). Apply when adding or maintaining Swagger/OpenAPI docs in a Go project, or when the codebase imports github.com/swaggo/swag, github.com/swaggo/gin-swagger, github.com/swaggo/echo-swagger, github.com/swaggo/http-swagger, or github.com/swaggo/files.

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Golang CLI command tree library using spf13/cobra — cobra.Command, RunE vs Run, PersistentPreRunE hook chain, Args validators (NoArgs, ExactArgs, MatchAll, custom), persistent vs local flags, command groups, ValidArgsFunction, RegisterFlagCompletionFunc, ShellCompDirective, usage/help template customization, man-page and markdown doc generation, and testing with SetArgs/SetOut/SetErr. Apply when using or adopting spf13/cobra, or when the codebase imports `github.com/spf13/cobra`. For configuration layering alongside cobra, see the `samber/cc-skills-golang@golang-spf13-viper` skill. For general CLI architecture (project layout, exit codes, signal handling, I/O patterns), see `samber/cc-skills-golang@golang-cli`.

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AWS SDK for JavaScript v3 development patterns. Use when writing JavaScript or TypeScript code that uses AWS services via @aws-sdk/* packages (aws-sdk-js-v3), or when asked about schemas, runtime validation, serialization, or code generation in the context of the JS/TS AWS SDK.

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Provides verified corrections for IAM behaviors that AI agents frequently get wrong — policy evaluation edge cases, trust policy gotchas, STS session limits, Organizations quirks, and SAML/MFA specifics. Also provides structured workflows for IAM role management and baseline policy generation from application source code or a Terraform plan JSON. Covers condition operator safety (ForAnyValue/ForAllValues with Null checks), bucket policy deny patterns (VPC endpoint restrictions, org paths), confused deputy protection, and service role creation for AWS services (Glue, CloudTrail, Lambda, ECS, etc.) with aws:SourceAccount/aws:SourceArn trust conditions. Applies when creating IAM roles, writing IAM or bucket policies, generating policies from application source code or a Terraform plan JSON, working with STS, Organizations, or condition operators, or any task needing a service or execution role. Does not cover non-IAM authorization like Cognito user-pool policies or app-level RBAC.

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Use Figma webhooks to trigger automatic Anima code generation on design changes. Use when building event-driven design-to-code pipelines, auto-generating components when Figma files change, or integrating design updates into CI. Trigger with: "anima webhook", "figma webhook", "anima auto-generate on change".

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Optimize Anima API costs through caching, incremental generation, and tier selection. Use when managing Anima API usage, reducing unnecessary code generations, or right-sizing your Anima plan for team size. Trigger with: "anima cost", "anima pricing", "anima budget", "anima API usage".

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Convention discovery and rule generation from codebase analysis. Scans project structure, builds search indexes, identifies patterns, and generates enforceable rules.

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Multi-dimensional code assessment across security, quality, performance, and maintainability with confidence-gated reporting (>=80%) and Router Contract generation.

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Create visual concepts, image-generation prompts, and optional AI-generated images for product hero images, marketing creatives, social posts, ads, ecommerce PDP visuals, and general visual design tasks. Use when the user asks for visual strategy, image prompt writing, product/marketing image direction, or direct text-to-image generation. In Codex environments use the built-in imagegen tool; elsewhere use the bundled script backed by the apiz CLI.

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Codex-native Amazon PPC setup workflow using Kunze's broader ecosystem-driven strategy. Use when the user wants LaunchFast-driven bulk-sheet generation with broad and phrase coverage, gap analysis, and a campaign package written to disk.

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Hreflang and international SEO audit, validation, and generation. Detects common mistakes, validates language/region codes, and generates correct hreflang implementations. Use when user says "hreflang", "i18n SEO", "international SEO", "multi-language", "multi-region", or "language tags".

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Audit a repo's agent context — CLAUDE.md files, codebase docs, skills, and tool/MCP designs — against Anthropic's Claude 5 context-engineering guidance ("unhobbling": Anthropic cut ~80% of Claude Code's system prompt with no eval loss). Finds overconstraint, conflicting instructions, redundancy, stale facts, and missing "unknown knowns"; produces a scored findings report with concrete rewrites, then applies approved fixes. Use when someone says "audit my CLAUDE.md", "context audit", "unhobble this repo", "review our agent docs/skills/tools", or after upgrading to Claude 5-generation models.

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