573 件 ・ 関連度順
概要と使いどころ
Analyzes CVE vulnerabilities in project dependencies with code path tracing and PoC generation for Burp Suite. Traces vulnerable code from user input to sink, assesses exploitability, and generates HTTP requests for testing.
日本語の概要は準備中です。原文の説明を表示しています。
Use when creating editable technical diagrams with draw.io / diagrams.net sources, including architecture diagrams, ERD, UML, sequence diagrams, flowcharts, ML model diagrams, official shape lookup, brand symbols, Graphviz auto-layout, codebase structure maps, .drawio validation, or draw.io CLI export fallback. Do not use for ordinary raster image generation, freehand sketches, interactive canvas/Three.js scenes, or decorative SVG animation. Chinese triggers include draw.io, diagrams.net, editable architecture diagrams, .drawio, ER diagrams, UML, sequence diagrams, auto layout, shape retrieval, code structure diagrams.
日本語の概要は準備中です。原文の説明を表示しています。
Guide for multi-experiment batch operations: QC screening, batch download, comparison, and report generation across many ENCODE experiments simultaneously. Use when users need to process 5+ experiments together, create experiment comparison tables, perform batch quality checks, or generate summary reports. Trigger on: batch analysis, multiple experiments, bulk processing, experiment comparison, batch QC, multi-sample, batch download, experiment table, summary report, collection analysis.
日本語の概要は準備中です。原文の説明を表示しています。
Creates context-aware git commits with smart pre-commit checks, submodule support, and conventional commit message generation. Use when user requests to commit changes, stage and commit, check in code, save work, save changes, push my code, finalize changes, add to git, create commits, run /commit command, or mentions "git commit", "commit message", "conventional commits", "stage files", "git add", or needs help with commits.
日本語の概要は準備中です。原文の説明を表示しています。
Generates Stitch screens from authored prompt files using MCP tools. Reads prompt sections, sends each to Stitch for generation, and fetches resulting images and code. Use when user mentions "generate in stitch", "create stitch screens", "run prompts in stitch", "send prompts to stitch", "generate screens from prompts", "fetch stitch images", or has prompt-v*.md files ready for generation. Requires Stitch MCP server.
日本語の概要は準備中です。原文の説明を表示しています。
Creates GitHub Pull Requests with existing PR detection, branch pushing, and intelligent title/body generation. Use when user requests to create pull request, open PR, update PR, push for review, ready for review, send for review, get this reviewed, make a PR, share code, request review, create draft PR, submit for review, run /create-pr command, or mentions "PR", "pull request", "merge request", "code review", "GitHub PR", or "draft".
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
Produce or review API contract documentation for Salesforce integrations: versioning policy artifacts, request/response schema specs, error code catalogs, rate limit documentation, OpenAPI generation for sObjects. Trigger keywords: Salesforce API versioning policy, API end-of-life policy, document API endpoints, REST API rate limits, OpenAPI sObjects, API contract record, error contract, errorCode catalog, 410 GONE retired API version, HTTP 300 external ID upsert, idempotency key, deprecation notice, composite subrequest limit. NOT for building the endpoint or writing the Apex REST service — use apex/apex-rest-services. NOT for upgrading the API version on your own Apex, LWC or sfdx-project.json — use devops/api-version-management.
日本語の概要は準備中です。原文の説明を表示しています。
Professional typography rules for UI design, web applications, software interfaces, and all screen-based text. Enforces timeless typographic correctness that LLMs consistently get wrong: proper quote marks, dashes, spacing, hierarchy, and layout. ENFORCEMENT MODE: When generating ANY HTML, CSS, React, JSX, or UI code containing visible text, auto-apply every rule in this skill silently — do not ask, do not explain, just produce correct typography. AUDIT MODE: When reviewing or improving existing interfaces or legacy code, flag violations and provide fixes. Trigger on: any HTML/CSS/React artifact creation, "build a landing page", "create a component", "design a UI", "fix the typography", "make this look professional", "review this layout", web design, presentation design, dashboard creation, document generation, or any task producing visible text for humans. Even if the user doesn't mention typography, apply these rules whenever generating UI output.
日本語の概要は準備中です。原文の説明を表示しています。
Spreadsheet automation — reading, writing, and analyzing Excel workbooks — use for xlsx generation, parsing, and data workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Distill large models into smaller ones — teacher-student training, data generation, loss design, and quality validation. Use when you need big-model behavior at small-model cost.
日本語の概要は準備中です。原文の説明を表示しています。
Generate and edit images with diffusion models: prompting, seeds, CFG, img2img, inpainting, conditioning, and API integration. Use when adding AI image generation to apps or workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Structured ideation for technical problems: divergent generation, constraint framing, and convergent selection. Use when stuck on a design, naming, architecture, or feature approach and need fresh options.
日本語の概要は準備中です。原文の説明を表示しています。
Build with AI21 Labs' models — Jurassic for generation and strong task-specific models for enterprise use.
日本語の概要は準備中です。原文の説明を表示しています。
Generate UI with AI tools effectively: prompt structure, design-system grounding, iteration technique, and evaluating output quality. Use when using AI to create interfaces.
日本語の概要は準備中です。原文の説明を表示しています。
Automated semantic versioning and release workflow for Claude Code plugins. Handles version increments across package.json, marketplace.json, and plugin.json, build verification, git tagging, GitHub releases, and changelog generation.
日本語の概要は準備中です。原文の説明を表示しています。
Generate novel UI from a text prompt via Stitch AI. Exports Tailwind/HTML, produces DESIGN.md for mk:frontend-design handoff. NOT for implementing existing designs — use mk:figma or mk:frontend-design for that.
日本語の概要は準備中です。原文の説明を表示しています。
Spec-driven manual QA testing and Playwright E2E code generation. Orchestrates browser skills to navigate apps like a human tester, producing structured test reports or production-ready .spec.ts files. Always prompts user for credentials — never guesses or stores auth. Use for QA testing, E2E generation, login flow testing, or exploratory testing from a URL. NOT for AI-autonomous flows (see mk:agent-browser).
日本語の概要は準備中です。原文の説明を表示しています。
Generates starter component code using design tokens. Creates React/Vue/Svelte components with proper token usage, variants, and accessibility built in.
日本語の概要は準備中です。原文の説明を表示しています。
Guides AI agents through Senzing entity resolution workflows using the Senzing MCP server. Covers data mapping to Senzing format, SDK code generation (Python, Java, C#, Rust, TypeScript/Node.js), documentation search, error troubleshooting, sample data access, reporting and visualization, SDK setup guides, and V3-to-V4 migration. Use when working with entity resolution, record matching, record linkage, deduplication, Senzing SDK integration, data mapping for Senzing ingestion, or troubleshooting Senzing error codes. Also use when the user mentions matching records across data sources, finding duplicate entities, identity resolution, master data management, or needs to resolve who is who across datasets.
日本語の概要は準備中です。原文の説明を表示しています。
Documentation regeneration for Codex. Equivalent to the repository's Claude skill: regenerate user-facing docs from current code state. Usage: /doc or /doc <issue#>
日本語の概要は準備中です。原文の説明を表示しています。
Garanta estrutura válida de JSON/XML/código durante a geração, use modelos Pydantic para outputs type-safe, suporte modelos locais (Transformers, vLLM) e maximize velocidade de inferência com Outlines - biblioteca de geração estruturada da dottxt.ai
日本語の概要は準備中です。原文の説明を表示しています。
Geração de imagens com tecnologia de ponta usando Stable Diffusion via HuggingFace Diffusers. Use quando gerar imagens a partir de prompts em texto, realizar tradução de imagem para imagem, inpainting ou construir pipelines de difusão customizados.
日本語の概要は準備中です。原文の説明を表示しています。
Biblioteca PyTorch para geração de áudio incluindo text-to-music (MusicGen) e text-to-sound (AudioGen). Use quando precisar gerar música a partir de descrições de texto, criar efeitos sonoros ou realizar geração de música condicionada por melodia.
日本語の概要は準備中です。原文の説明を表示しています。