提示词与推理

提示词工程、角色设定和推理模式

312 個 Skills 可用

Skills 列表

tldr-stats

tldr-stats

3.9Kprompting-reasoning

Show full session token usage, costs, TLDR savings, and hook activity

parcadei avatarparcadei
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wiki-setup

wiki-setup

3.3Kprompting-reasoning

Initialize a new Obsidian wiki vault with the correct structure, special files, and configuration. Use this skill when the user wants to set up a new wiki from scratch, initialize the vault structure, create the .env file, or says things like "set up my wiki", "initialize obsidian", "create a new vault", "get started with the wiki". Also use when the user needs to reconfigure their existing vault or fix a broken setup.

ar9av avatarar9av
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jetson-customize-uphy

jetson-customize-uphy

3.3Kprompting-reasoning

Configure Jetson UPHY lane allocation (uphy0/uphy1-config) on Orin/Thor custom carriers. Do NOT use for pinmux or PCIe-only edits.

nvidia avatarnvidia
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jetson-customize-pinmux

jetson-customize-pinmux

3.2Kprompting-reasoning

Per-pin SFIO / direction / initial-state configurator for a Jetson Orin or Thor custom carrier from the pinmux XLSM. Do NOT use for kernel-DT overlay or ODMDATA edits.

nvidia avatarnvidia
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jetson-derive-carrier

jetson-derive-carrier

3.2Kprompting-reasoning

Bootstrap a custom carrier board by forking carrier files and scaffolding a DT overlay from the reference devkit. Use after jetson-init-source; not for module-level or kernel-DTB changes.

nvidia avatarnvidia
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jetson-speculative-decoding

jetson-speculative-decoding

3.2Kprompting-reasoning

Add EAGLE-3 or draft-model speculative decoding to a Jetson vLLM server when TPOT is the bottleneck.

nvidia avatarnvidia
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tao-generate-video-reasoning-annotations

tao-generate-video-reasoning-annotations

3.1Kprompting-reasoning

Multi-step video annotation pipeline that turns raw videos into Chain-of-Thought training data — multi-level captions, structured descriptions, and QA pairs (MCQ, binary, open-ended) with reasoning traces, via VLM/LLM distillation. Use when the user wants to "create video training data", "generate video QA datasets", "build CoT reasoning traces from videos", "auto-label videos", or run the video_reasoning_annotation pipeline. Triggers include "video annotation", "video CoT", "video QA", "chain-of-thought", "video captioning pipeline", "video distillation".

nvidia avatarnvidia
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credentials

credentials

3.1Kprompting-reasoning

Instructions for handling API keys and credentials safely, verifying their presence, and prompting the user to add them if missing using a safe protocol.

google-deepmind avatargoogle-deepmind
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alphaear-sentiment

alphaear-sentiment

3Kprompting-reasoning

Analyze finance text sentiment using FinBERT or LLM. Use when the user needs to determine the sentiment (positive/negative/neutral) and score of financial text markets.

rkiding avatarrkiding
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earth2studio-data-fetch

earth2studio-data-fetch

3Kprompting-reasoning

Fetch weather/climate data via Earth2Studio data sources for specific variables and times. Do NOT use for inference pipelines, model discovery, or installation.

nvidia avatarnvidia
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vss-summarize-video

vss-summarize-video

3Kprompting-reasoning

Use to summarize a recorded video via the LVS summarization microservice (HITL-gated) with a VLM fallback. Not for report generation or live RTSP captioning.

nvidia avatarnvidia
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sepia-hemingway

sepia-hemingway

2.9Kprompting-reasoning

Use when a user asks to write or revise fiction in the Hemingway manner, or asks for strong de-AI on a story; applies Sepia's built-in Hemingway voice profile.

nanako0129 avatarnanako0129
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sepia-write

sepia-write

2.9Kprompting-reasoning

Use when a user explicitly requests Sepia write to create new prose.

nanako0129 avatarnanako0129
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sepia-recreate

sepia-recreate

2.9Kprompting-reasoning

Use when a user explicitly requests Sepia recreate for a full rewrite.

nanako0129 avatarnanako0129
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sepia-refactor

sepia-refactor

2.9Kprompting-reasoning

Use when a user explicitly requests Sepia refactor for minimal in-place prose revision.

nanako0129 avatarnanako0129
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sepia-review

sepia-review

2.9Kprompting-reasoning

Use when a user explicitly requests Sepia review to diagnose prose without editing.

nanako0129 avatarnanako0129
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seedance

seedance

2.9Kprompting-reasoning

This skill should be used when the user asks to "generate video prompts", "create Seedance prompts", "write video descriptions", mentions "Seedance", "seedance", "即梦", "即梦平台", "视频提示词", "视频生成", "AI视频", "短剧", "广告视频", "视频延长", or discusses video prompt engineering, AI video generation, or Seedance 2.0 workflows.

songguoxs avatarsongguoxs
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rag-perf

rag-perf

2.8Kprompting-reasoning

Performance benchmarking for a deployed NVIDIA RAG Blueprint server: profiling pass + aiperf load test driven by a single YAML config. Not for accuracy / RAGAS scoring (use rag-eval) or for deploying / repairing services (use rag-blueprint).

nvidia avatarnvidia
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data-designer

data-designer

2.8Kprompting-reasoning

Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline.

nvidia avatarnvidia
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breadth-chart-analyst

breadth-chart-analyst

2.7Kprompting-reasoning

This skill should be used when analyzing market breadth charts, specifically the S&P 500 Breadth Index (200-Day MA based) and the US Stock Market Uptrend Stock Ratio charts. Use this skill when the user provides breadth chart images for analysis, requests market breadth assessment, positioning strategy recommendations, or wants to understand medium-term strategic and short-term tactical market outlook based on breadth indicators. Also works WITHOUT chart images by fetching CSV data directly from public sources. All analysis and output are conducted in English.

tradermonty avatartradermonty
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adhd

adhd

2.6Kprompting-reasoning

Parallel divergent ideation for coding agents. Spawns N isolated branches under different cognitive frames (regulator, biology, speedrunner, 10-year-old, $0 budget), scores, clusters, prunes traps, and deepens top survivors. Use on /adhd, "ADHD mode", brainstorm/ideate intents, or open-ended design, architecture, naming, API/SDK surface, and fuzzy-debugging decisions. Skip for syntax, lookups, bugs with known root cause, or closed phrasing ("quick", "standard", "canonical", "textbook"). Full pre-flight gate is in the skill body.

uditakhourii avataruditakhourii
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short-drama-video-prompts

short-drama-video-prompts

2.5Kprompting-reasoning

把短剧分镜和冻结关键帧写成可直接复制的视频提示词 Markdown,也可按用户要求写时间线配乐/主题曲意图。用户提到文生/图生视频动作、人物表演、运镜、口型、环境运动、镜头时长、起止状态、把分镜转成视频提示词或写配乐提示词时使用;不生成媒体、不创作歌词、不改分镜边界。

zenstory-ai avatarzenstory-ai
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short-drama

short-drama

2.5Kprompting-reasoning

基于文件系统初始化和继续短剧或漫剧项目,提供 creator-first 五文档路由、本地 Dashboard、制作形态与 Look Development 决策。用户提出“创建/继续短剧项目”“看进度/下一步”“做 Look Development”“打开 dashboard/短剧创作台”“导出制作资料”,或任务跨多个创作阶段时使用;明确的写作、资产、提示词、分镜、剪辑或审查请求由对应子 skill 直接处理。

zenstory-ai avatarzenstory-ai
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context-engineering

context-engineering

2.2Kprompting-reasoning

Master context engineering for AI agent systems. Use when designing agent architectures, debugging context failures, optimizing token usage, implementing memory systems, building multi-agent coordination, evaluating agent performance, or developing LLM-powered pipelines. Covers context fundamentals, degradation patterns, optimization techniques (compaction, masking, caching), compression strategies, memory architectures, multi-agent patterns, LLM-as-Judge evaluation, tool design, and project development.

mrgoonie avatarmrgoonie
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