1.7천건 · 관련도순
Research decentralized exchange activity using read-only data on token prices, holders, trades, news, and sentiment. Track large wallets, examine new token launches, and set up real-time monitoring through CLI commands or custom WebSocket scripts.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Develop and troubleshoot plugins that connect external memory services to Nexent. Define plugin settings, implement search and ingestion, map errors, test with simulated network responses, and verify deployment, authentication, and runtime monitoring.
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Adapt Squad agent coordination to the available Copilot interface. Detect supported tools, choose how to launch helper agents and collect results, and use file-based state for workflows that must work across interfaces.
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Turn a novel into a short drama outline with adaptation decisions, character lists, dramatic highlights, episode summaries, and an asset inventory. Scripted checks examine structure and consistency, while a review report helps assess the plan before writing dialogue.
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Adapt a streaming API to Ant Design X by selecting or implementing a Chat Provider, the layer that converts requests and responses into chat messages. Includes custom formats, incremental message assembly, and nonstandard stream handling.
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Find STATA code examples for empirical accounting research from published replication files. Adapt regression, matching, event study, and table export syntax to your variables, with citations to the papers behind each example.
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Adapt an article, script, or transcript into posts for multiple social platforms. Extract the central message, supporting points, quotes, and data, then rewrite each version to suit its platform and suggest a publishing sequence.
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Create, adapt, or repair a Tutti workspace app as a publishable package or a local debugging setup. It prepares manifests, launch scripts, storage settings, and validation, including fixes for projects that fail to load.
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Use this skill when baseline NeMo Relay instrumentation exists and the user wants to configure or evaluate adaptive plugin behavior, including telemetry, state, adaptive_hints, tool_parallelism, ACG, hint consumption, or measured rollout.
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Implement a narrow customer-owned adapter around an approved Abridge tenant interface without claiming a public SDK. Use when coding against vendor-issued integration specifications. Trigger with "build the Abridge adapter".
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IDAPython and IDALib script reference for reverse engineering. Activate when the user needs to write IDAPython scripts in IDA, use IDALib for headless analysis, operate on IDB databases, debug with IDA, manipulate memory/registers, traverse functions/blocks/instructions, work with Hex-Rays decompiler API, handle obfuscation, or batch-process binaries.
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Nuxt adapter for embedding emulators directly in a Nuxt app via @emulators/adapter-nuxt. Use when the user needs to embed emulators in Nuxt, set up same-origin OAuth for preview deployments, create an emulate catch-all server route, configure persistence for embedded Nuxt emulators, or wrap nuxt.config with withEmulate. Triggers include "Nuxt emulator", "adapter-nuxt", "embedded emulator", "same-origin OAuth", "createEmulateHandler", "withEmulate", or any task requiring emulators inside a Nuxt app.
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Next.js adapter for embedding emulators directly in a Next.js app via @emulators/adapter-next. Use when the user needs to embed emulators in Next.js, set up same-origin OAuth for Vercel preview deployments, create an emulate catch-all route handler, configure Auth.js/NextAuth with embedded emulators, add persistence to embedded emulators, or wrap next.config with withEmulate. Triggers include "Next.js emulator", "adapter-next", "embedded emulator", "same-origin OAuth", "Vercel preview", "createEmulateHandler", "withEmulate", or any task requiring emulators inside a Next.js app.
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Use when adding a new agent harness (CLI-based coding agent) adapter to adapters. Covers capability audit, adapter scaffold, session parsing, auth detection, hooks/plugins wiring, tests, and docs.
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Intelligent network quality analysis with adaptive loading strategies. Detects connection type (2g/3g/4g), bandwidth, RTT, and save-data mode, then automatically triggers appropriate optimization workflows. Includes decision trees that recommend image compression for slow connections, critical CSS inlining for high RTT, and save-data optimizations (disable autoplay, reduce quality). Features connection-aware performance budgets (500KB for 2g, 1.5MB for 3g, 3MB for 4g+) and adaptive loading implementation guides. Cross-skill integration with Loading (TTFB impact), Media (responsive images), and Core Web Vitals (connection impact on LCP/INP). Use when the user asks about slow connections, mobile optimization, save-data support, or adaptive loading strategies. Compatible with Chrome DevTools MCP.
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Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.
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Cross-format content adaptation. Turning one substantial piece into many derivative formats (blog series, email sequences, social posts, webinars, podcasts, video shorts) without losing the original's value or producing AI-slop variants. The discipline of adaptation per medium rather than mass-blast distribution. Triggers on content repurposing, content adaptation, cross-format content, content atomization, content multiplication, content distribution across formats, source-piece-to-derivative, video shorts from blog, email from whitepaper, podcast from article, blog series from research. Also triggers when a flagship piece is shipping but the team has not planned how to extend it across formats, when repurposing is happening but the derivatives feel mass-produced, or when AI-assisted repurposing is producing slop variants of strong source pieces.
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Adapt a historical primary source for classroom use — modifying complexity and length while preserving features for sourcing, close reading, and corroboration. Use when a primary source is too complex for the target age group.
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Adapt a classroom task for specific learner needs while preserving the core learning objective intact. Use when differentiating for SEND, EAL, gifted, ADHD, dyslexia, or anxiety.
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Expert blueprint for educational games including gamification loops (learn/apply/feedback/adapt), progress tracking (student profiles, mastery %), adaptive difficulty (target 70% success rate), spaced repetition, curriculum trees (prerequisite system), and visual feedback (confetti, XP bars). Use for learning apps, training simulations, or edutainment. Trigger keywords: educational_game, gamification, adaptive_difficulty, spaced_repetition, student_profile, curriculum_tree, mastery_tracking.
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Bevy ECS skill for adapting a Bevy desktop game to mobile. Keywords: Bevy, mobile, touch, UI, adapt.
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Bevy ECS skill for adapting a Bevy mobile game to desktop. Keywords: Bevy, desktop, mouse, keyboard, adapt, window.
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Expert blueprint for educational games including gamification loops (learn/apply/feedback/adapt), progress tracking (student profiles, mastery %), adaptive difficulty (target 70% success rate), spaced repetition, curriculum trees (prerequisite system), and visual feedback (confetti, XP bars). Use for learning apps, training simulations, or edutainment. Trigger keywords: educational_game, gamification, adaptive_difficulty, spaced_repetition, student_profile, curriculum_tree, mastery_tracking.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Bevy ECS skill for adapting a Bevy desktop game to mobile. Keywords: Bevy, mobile, touch, UI, adapt.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.