Chalk Labs
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Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/lukanytsu7551-screening
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
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What's inside
- Skill name
screening- Description
- 进行单变量筛选并形成候选解释变量清单(feature selection 特征筛选)
- License
- NOASSERTION
- Instructions
- 18 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub
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使用 K-Means 对业务对象进行聚类画像(clustering 客户分群)
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使用 ARIMA 进行单变量时间序列预测(forecast)
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执行二分类或多分类逻辑回归分析(logistic regression 分类)
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chart
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根据当前数据选择并生成合适的业务图表(visualization 可视化)
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data
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查看数据结构、质量和可分析性(schema 数据概览 profiling)
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使用 SARIMA 建模季节性时间序列预测(forecast)
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sql
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使用 SQL 安全查询当前已选择的数据表(query 数据查询)
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Aug 30, 2026 (2 months ago)
- Last release
- Sep 9, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- NOASSERTION
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
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SkillBFreshness: BClaude Code +9 - 0.510score
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Lukanytsu7551
将飞书多维表格接入为 SQL 数据源,完成分析和结果交付,并在明确授权后回写或生成结果表。
SkillBFreshness: BClaude Code +9 - 0.507score
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规划业务数据仪表盘/看板(dashboard)
SkillBFreshness: BClaude Code +9 - 0.505score
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查看数据结构、质量和可分析性(schema 数据概览 profiling)
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Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
screening skill. Agent Mart. https://agentmart.dev/skills/lukanytsu7551-screening (last updated 2026-10-24)