「convert」の検索結果

Actorization converts existing software into reusable serverless applications compatible with the Apify platform. Actors are programs packaged as Docker images that accept well-defined JSON input, perform an action, and optionally produce structured JSON output.

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Convert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance.

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。

Fetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or browser required.

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。

Builds vendor-agnostic detection rules using the Sigma rule format for threat detection across SIEM platforms including Splunk, Elastic, and Microsoft Sentinel. Use when creating portable detection logic from threat intelligence, mapping rules to MITRE ATT&CK techniques, or converting community Sigma rules into platform-specific queries using sigmac or pySigma backends.

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。

Convert LaTeX papers between journal/conference templates for journal resubmission or template switching (e.g., Springer → MDPI, IEEE → Nature, IPOL → CVPR) through a privacy-preserving anonymized workflow. Use when the user provides a LaTeX .tex/project plus a target template directory or .tex file. Assume the input is not anonymized unless the user explicitly says it is already anonymized. Preserve privacy sentinels exactly; never open mapping.private.json except as a local script argument.

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。

Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.

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。

Convert tasks from tasks.md into GitHub issues. Use after task breakdown to track work items in GitHub project 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。

Formally verify programs by writing Lean 4 proofs. Trigger this skill whenever the user wants to formally verify code, generate Lean 4 proofs, prove properties about algorithms or smart contracts, verify invariants, convert program logic into formal specifications, or anything involving Lean 4 and formal verification. Also trigger when the user mentions "qedgen", "lean proof", "formal proof", "verify my code", "prove correctness", "formal verification", or wants mathematical guarantees about their implementation.

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。

Add a new interactive design tool under /tools (like the color converter or contrast checker) — component, page, navigation, route lists, SEO, and tests. Use when building a new utility tool.

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Transform client hearing sheets and meeting notes into structured requirements documents. Use when converting raw hearing data (Japanese/English) into formal requirements, generating traceability matrices, identifying gaps/ambiguities, and mapping requirements to WBS items. Triggers include "hearing to requirements", "meeting notes to specs", "requirements traceability", "gap analysis for requirements", or requests involving hearing sheet 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。

Export Codex rollout/session JSONL as a self-contained HTML report that can be opened offline. Use when a user provides a complete session file path or Codex session ID, or asks to export a Codex session to HTML, generate a session report, or convert a rollout to HTML. Supports exact full-ID lookup in the CODEX_HOME sessions and archived_sessions directories.

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General Blender workflow skill for AI agents working with .blend, .fbx, .obj, .glb, glTF, materials, scene inspection, bpy automation, headless Blender batch runs, export/reimport validation, previews, and optional Blender MCP control. Use when a task asks to open, inspect, create, automate, convert, optimize, render, or verify Blender or 3D asset files in a user-agnostic way.

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Convert a BMad skill into a downloadable web bundle (Gemini Gem + ChatGPT Custom GPT) with a persona, install instructions, and knowledge files. Use when a user wants to publish a skill to consumer LLM platforms (Gemini, ChatGPT).

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Transform a supplied photo into an editorial collage where a realistic foreground gradually continues as fine drawing and light pigment on paper. Use for 实景渐绘拼贴、摄影与建筑线描融合、photo-to-sketch travel posters. Keeps a photographic anchor rather than converting the whole image into an illustration.

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Use when converting a design direction into maintainable production frontend code, selecting architecture within the existing stack, implementing semantics, assets, loading behavior, CSS/layout, components, and progressive enhancement.

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Use after substantial web projects or repeated design defects to convert evidence into reusable skill improvements through root-cause analysis, regression scenarios, and controlled proposals without silently changing the core OS.

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。

Remote-sensing literature search, citation verification, sensor/platform/dataset query strategy, citation file management (.ris/.bib/.enw conversion), and reference management (BibTeX, related articles, DOI/arXiv lookup) across CrossRef, arXiv, Scopus, ScienceDirect, Semantic Scholar, and domain web sources. Use when the user needs coordinated multi-step literature workflows for remote sensing, Earth observation, geospatial AI, GIScience, photogrammetry, SAR, hyperspectral imaging, LiDAR, satellite missions, benchmark datasets, land-cover mapping, change detection, object detection, segmentation, retrieval, or multimodal remote-sensing foundation models. Also trigger on general literature-search needs during academic writing even without the word "Nature", such as searching for papers/literature, doing a literature review, verifying a citation, converting citation files, and Chinese phrasings like 文献检索、查文献、找文献、 文献综述检索、查论文、引文核对、参考文献管理、文献去重.

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Design and review native presenter classes in WordPress plugins without requiring better-data - converting DTOs or domain objects into REST arrays, admin table rows, JS config payloads, email variables, and public view models with allowlisted fields, context methods, redaction by default, locale/date/number formatting, no DTO mutation, and correct WordPress escaping boundaries. Use when adding FooPresenter, response mappers, admin-row arrays, wp_send_json payloads, rest_ensure_response data, wp_add_inline_script config, or when code returns raw DTOs, WP_Post, WC_Order, get_object_vars, json_encode, or unescaped HTML from controllers.

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Optimize images for web performance — format conversion (WebP, AVIF), responsive sizing, compression, background removal, lazy loading, and WordPress media library integration. Uses MCP bridge tools (resize_image, remove_background) as primary; the Design Stack media worker (Sharp) as fallback for advanced/batch processing. Use when you need to resize images for social media, convert formats for faster page loads, remove backgrounds from product photos, generate alt text, or batch-process an entire media library.

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Produces WordPress draft posts from research findings — converts Paper Store research records or raw research data into publishable blog posts, buying guides, brand spotlights, and how-to articles. Use when the task asks to "turn research into a post", "create a blog post from findings", "publish my research", "research to content", or "write up the findings". Covers the full research-to-post pipeline with Paper Store integration.

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Manage NV oOS Pro Schedules — create, update, delete, list, dry-run, view run history, and plan schedules from workflows. Covers all 7 Pro Schedule Manager MCP tools with usage patterns, cross-references, and operational troubleshooting. Use when creating recurring tasks, debugging schedule failures, pausing vs deleting schedules, converting Action Scheduler jobs to managed schedules, or bridging workflow outputs to timed execution.

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。

Actorization converts existing software into reusable serverless applications compatible with the Apify platform. Actors are programs packaged as Docker images that accept well-defined JSON input, per

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。

Create "[Competitor] alternative" and comparison pages for developer tools. Build honest, high-converting comparison content that ranks for competitive search terms.

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。

Convert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance.

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。