stock-data-skill
OpenClaw Skill for stock data analysis
Get CS2 player statistics, match analysis, and gameplay insights from Leetify API. Supports player comparison and season stats. Use for stat queries and demo analysis.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install damirikys/leetify打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Access CS2 statistics and match data from the Leetify platform.
Use these commands for general statistics, ranks, and recent performance.
bash scripts/get_stats_by_username.sh USERNAME
Displays averages, recent match performance, and ranks.
bash scripts/get_match_details.sh USERNAME [INDEX]
Fetches raw JSON statistics for a specific match. When presenting this data, provide a structured report covering shooting, utility usage, and performance metrics.
bash scripts/compare_by_username.sh USERNAME1 USERNAME2
Compares two players based on their Leetify profiles.
python3 scripts/season_stats.py
Provides a summary table for players tracked in the local database.
Use this workflow for detailed tactical reviews and round-by-round breakdowns.
python3 scripts/steam_ids.py get --username USERNAME
python3 scripts/analyze_last_demo.py --username USERNAME [--match-index N] [--no-cache]
Review the generated log to assess:
Actionable recommendations can be provided based on the observed patterns. Guides or tutorials for specific map positions may be referenced if performance in those areas was suboptimal.
# Save a player profile
python3 scripts/steam_ids.py save --username "username" --steam-id "7656119..." --name "Name"
# List all tracked players
python3 script...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# Leetify API Skill Access CS2 statistics and match data from the Leetify platform. ## Quick Stats Use these commands for general statistics, ranks, and recent performance. ### Show Statistics ```bash bash scripts/get_stats_by_username.sh USERNAME ``` Displays averages, recent match performance, and ranks. ### Get Match Data ```bash bash scripts/get_match_details.sh USERNAME [INDEX] ``` Fetches raw JSON statistics for a specific match. When presenting this data, provide a structured report covering shooting, utility usage, and performance metrics. ### Compare Players ```bash bash scripts/compare_by_username.sh USERNAME1 USERNAME2 ``` Compares two players based on their Leetify profiles. ### Season Stats ```bash python3 scripts/season_stats.py ``` Provides a summary table for players tracked in the local database. ## Demo Analysis Use this workflow for detailed tactical reviews and round-by-round breakdowns. ### 1. Identify the Player - Resolve Steam ID: `python3 scripts/steam_ids.py get --username USERNAME` - Match the player in the match log using the resolved Steam ID. ### 2. Generate Match Log ```bash python3 scripts/analyze_last_demo.py --username USERNAME [--match-index N] [--no-cache] ``` - Downloads and parses the demo file (requires significant memory). - Generates a text log containing scoreboard and round timeline. ### 3. Analyze Performance Review the generated log to assess: - Shooting accuracy and trade efficiency. - Utility effectiveness (flash duration, grenade damage). - Role performance (entry, anchor, support). - Tactical highlights and mistakes. Actionable recommendations can be provided based on the observed patterns. Guides or tutorials for specific map positions may be referenced if performance in those areas was suboptimal. ## Data Management ### Manage Steam IDs ```bash # Save a player profile python3 scripts/steam_ids.py save --username "username" --steam-id "7656119..." --name "Name" # List all tracked players python3 script...
OpenClaw Skill for stock data analysis
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