商业计划生成器

Business Plan Generator

by bytesagain1

Create business plans, lean canvases, and financial projections. Use when pitching investors, planning startups, or modeling revenue scenarios.

4.5k其他未扫描2026年3月23日

安装

claude skill add --url github.com/openclaw/skills/tree/main/skills/bytesagain1/bizplanner

文档

Business Plan Generator

A data toolkit for business planning. Log, transform, query, and export business data — all from the command line, all stored locally.

Commands

CommandWhat it does
bizplanner ingest <input>Log a new ingest entry (no args = show recent entries)
bizplanner transform <input>Log a transform entry
bizplanner query <input>Log a query entry
bizplanner filter <input>Log a filter entry
bizplanner aggregate <input>Log an aggregate entry
bizplanner visualize <input>Log a visualize entry
bizplanner export <input>Log an export entry (see also export with format below)
bizplanner sample <input>Log a sample entry
bizplanner schema <input>Log a schema entry
bizplanner validate <input>Log a validate entry
bizplanner pipeline <input>Log a pipeline entry
bizplanner profile <input>Log a profile entry
bizplanner statsShow summary statistics across all log files
bizplanner export <fmt>Export all data to json, csv, or txt format
bizplanner search <term>Search all entries for a term (case-insensitive)
bizplanner recentShow the 20 most recent activity log entries
bizplanner statusHealth check — version, entry count, disk usage
bizplanner helpShow usage and available commands
bizplanner versionPrint version string

Each logging command (ingest, transform, query, etc.) accepts free-form text. Called without arguments, it shows the 20 most recent entries for that category.

Data Storage

All data is stored locally in ~/.local/share/bizplanner/. Each command category writes to its own .log file, and all actions are recorded in history.log with timestamps.

Requirements

  • Bash 4+

When to Use

  • Logging business planning data points from the command line
  • Tracking data transformations and queries over time
  • Exporting accumulated entries to JSON, CSV, or plain text for reports
  • Searching across all logged entries to find specific data
  • Checking health and statistics of your local business data store

Examples

bash
# Log a new data point
bizplanner ingest "Q1 revenue: $450k from SaaS subscriptions"

# Search all logs for a keyword
bizplanner search "revenue"

# Export everything to CSV
bizplanner export csv

# Check how much data you have
bizplanner stats

# View recent activity
bizplanner recent

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