AGENT SKILLS · ミッション装備

実際に使われている Agent Skills

公開リポジトリの検証済み Skills を比較し、機能、内容、導入状況、出典を確認してから追加できます。

掲載範囲
検証済み
Skills
23,248
リポジトリ
3589
最終同期
2026/11/04
23,248 Skills
tradermonty
コミュニティ

trade-performance-coach

Review closed trades, partial exits, and monthly trade aggregates for process adherence, risk discipline, execution quality, and evidence-based trading behavior patterns. Use after trader-memory-core and signal-postmortem have produced records, or when the user asks for a post-trade coach, risk-manager style review, rule-adherence review, next-session operating rules, or psychology-aware trading behavior feedback. This skill does not provide buy/sell advice, therapy, or broker execution.

1時間の導入数
4
GitHub Stars
3167
更新日
10月20日
tradermonty
コミュニティ

trading-skills-navigator

Recommend the right trading workflow, skillset, API profile, and setup path from a natural-language goal. Use this as the on-ramp when a user expresses a trading or investing goal and needs to know which skill/workflow to use, where to start, or whether something works without paid API keys — e.g. "where do I start", "which skill should I use", "I want to swing trade only when the market is favorable", "what works without API keys", "どれを使えばいい", "API キー無しで 使えるものは". Routes and explains only; it ne

1時間の導入数
4
GitHub Stars
3167
更新日
10月20日
tradermonty
コミュニティ

uptrend-analyzer

Analyzes market breadth using Monty's Uptrend Ratio Dashboard data to diagnose the current market environment. Generates a 0-100 composite score from 5 components (breadth, sector participation, rotation, momentum, historical context). Use when asking about market breadth, uptrend ratios, or whether the market environment supports equity exposure. No API key required.

1時間の導入数
4
GitHub Stars
3167
更新日
10月20日
coldteadotai
コミュニティ

pr-lens

WHAT: Draws a code change or part of a codebase as an animated architecture or data-flow diagram, on its own or in a pull request. WHEN: asked to diagram, visualise or explain a change or a system, or when a pull request should carry a diagram. KEYWORDS: PR Lens, diagram, architecture, data flow, visualise, visualize, pull request

1時間の導入数
4
GitHub Stars
2195
更新日
10月22日
vercel
公式

next-partial-prefetching-optimizer

Optimize what selected Next.js client navigations include before the click under Partial Prefetching. Use after Cache Components and Partial Prefetching are adopted when the user wants selected URL-specific UI to be instant, wants reusable content to wait for navigation, or needs to choose between default, viewport, and intent prefetching. Requires Next.js 16.3+.

1時間の導入数
4
GitHub Stars
14.3万
更新日
10月22日
wshobson
コミュニティ

async-python-patterns

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.

1時間の導入数
4
GitHub Stars
4.1万
更新日
10月19日
nilbuild
コミュニティ

video-demo

Films a web app as narrated, zooming, cursor-driven demo videos with retina screenshots, either from a repo it builds and mocks or from a live URL as it is served. Use when the user asks for a demo video, product video, walkthrough, screencast, screen recording of an app or of a URL, hero or landing-page footage, app screenshots for a website, "show off this feature", "record a demo of ", or wants to add, re-film, re-narrate or fix a demo scene.

1時間の導入数
4
GitHub Stars
216
更新日
9月21日
visactor
コミュニティ

chart-assistant

在飞书文档写报告时创建、编辑和交付图表助手可编辑图表卡片。覆盖柱/条形(堆叠、并列、百分比、重叠对照)、折线、面积、散点/气泡、双轴、饼/环、玫瑰、雷达、漏斗、词云、桑基、热力图、Treemap/Sunburst 等 30+ 内置图型,以及瀑布/桥图、Mekko、子弹图、哑铃图、蝴蝶图、小倍数面板等商务图表,图表类型、标注和编辑能力整体对齐 ThinkCell;默认遵循 MBB(麦肯锡/BCG/贝恩)咨询风制图规范,提供差异标注(总计差异、层级差异、复合增长率)、趋势线、参考线/参考区域、重点着色等报告级分析标注。支持接入飞书 Sheet/Base/风神数据源并保持同步、按参考图片还原图表、新建飞书 Docx 或向已有文档插入/替换图表助手卡片,也用于解释和校验图表助手配置。用户明确提到图表助手、可编辑图表或配置、图表助手内置模板、图表助手卡片、数据源同步、将风神或飞书 Sheet/Base 链接制成可编辑图表,或要求 MBB/咨询风样式及参考图片还原时使用,即使没有说出技能名。普通“做成图表”“画趋势图”等未要求上述产品能力的请求不主动接管;只要文字解释且不建图时不触发建图流程。

1時間の導入数
4
GitHub Stars
2
更新日
10月8日
jinho-yoo-jack
コミュニティ

orca-cli

Operate Orca-managed worktrees, folder contexts, terminals, repos, automations, artifacts, skill sharing, worktree comments, and Orca's embedded browser through the orca CLI. Use when the user says "$orca-cli", "Orca worktree", "child worktree", "spawn codex/claude in a worktree", "read/wait/send Orca terminal", "handoff" / "handover" / "give this to another agent", "Orca browser", "orca artifacts", or "share skills". Prefer it over raw git worktree, ad hoc PTYs, or Computer Use when Orca state

1時間の導入数
4
GitHub Stars
0
更新日
10月22日
langchain-ai
公式

deep-agents-core

INVOKE THIS SKILL when building ANY Deep Agents application. Covers createdeepagent(), harness architecture, SKILL.md format, and configuration options.

1時間の導入数
4
GitHub Stars
1298
更新日
10月19日
langchain-ai
公式

deepagents-python-quickstart

Scaffold a minimal local Deep Agent in Python by following the official quickstart, using provider-native web search instead of Tavily. Use when the user wants to quickly build or try a Deep Agent locally.

1時間の導入数
4
GitHub Stars
1298
更新日
10月19日
langchain-ai
公式

eval-engineering

Inspect an agent repository and optional traces, interview the user, write reviewed Task Specs, build and audit Harbor tasks, and bootstrap reusable project World Knowledge Skills. Use for agent evals, benchmark design, Task generation, controlled Environments, synthetic data, Verifiers, Harbor runs, calibration, or continuous benchmark maintenance.

1時間の導入数
4
GitHub Stars
1298
更新日
10月19日
langchain-ai
公式

langgraph-cli

INVOKE THIS SKILL when using the langgraph CLI to scaffold, develop, build, or deploy LangGraph applications. Covers langgraph new, dev, build, up, deploy, and langgraph.json configuration.

1時間の導入数
4
GitHub Stars
1298
更新日
10月19日
langchain-ai
公式

langgraph-decision-models

INVOKE THIS SKILL when routing a LangGraph agent with a decision model (TypeSafe Jev, SemIf) instead of an LLM, or when auditing an existing agent for LLM calls that only produce a routing decision. Covers langchain-typesafe Noul/Choice/Score, reading answers correctly, threshold design, and LangSmith Gateway wiring.

1時間の導入数
4
GitHub Stars
1298
更新日
10月19日
langchain-ai
公式

langgraph-python-quickstart

Scaffold a minimal local LangGraph agent in Python by following the official quickstart. Use when the user wants to quickly build or try a LangGraph agent locally.

1時間の導入数
4
GitHub Stars
1298
更新日
10月19日
mindrally
コミュニティ

python

Expert in Python development with best practices across web, data science, and automation

1時間の導入数
4
GitHub Stars
281
更新日
10月8日
bryantleft
コミュニティ

bruhs

End-to-end development lifecycle for AI coding agents — scaffold projects, plan and build features, create Linear tickets, open and review PRs, clean up after merge, audit codebases, and improve UI polish/motion quality. Works with any agent that reads CLAUDE.md or AGENTS.md. Use when starting a project, implementing a feature, shipping code, addressing PR reviews, merging, auditing code quality, designing or reviewing UI polish, or reviewing animations.

1時間の導入数
4
GitHub Stars
0
更新日
10月20日
googleworkspace
公式

gws-admin-reports

Google Workspace Admin SDK: Audit logs and usage reports.

1時間の導入数
4
GitHub Stars
3.2万
更新日
10月6日
googleworkspace
公式

gws-chat

Google Chat: Manage Chat spaces and messages.

1時間の導入数
4
GitHub Stars
3.2万
更新日
10月6日
googleworkspace
公式

gws-gmail-reply

Gmail: Reply to a message (handles threading automatically).

1時間の導入数
4
GitHub Stars
3.2万
更新日
10月6日
googleworkspace
公式

gws-gmail-reply-all

Gmail: Reply-all to a message (handles threading automatically).

1時間の導入数
4
GitHub Stars
3.2万
更新日
10月6日
googleworkspace
公式

gws-modelarmor-create-template

Google Model Armor: Create a new Model Armor template.

1時間の導入数
4
GitHub Stars
3.2万
更新日
10月6日
googleworkspace
公式

gws-modelarmor-sanitize-prompt

Google Model Armor: Sanitize a user prompt through a Model Armor template.

1時間の導入数
4
GitHub Stars
3.2万
更新日
10月6日
googleworkspace
公式

gws-modelarmor-sanitize-response

Google Model Armor: Sanitize a model response through a Model Armor template.

1時間の導入数
4
GitHub Stars
3.2万
更新日
10月6日