Parse ETHERCLAW.toml files and aggregate package specifications into Markdown reports.
npx skills add https://github.com/shogochiai/vibecoding-demo --skill dump-s
Please help me install this Agent Skill. Skill: dump-s Source: https://github.com/shogochiai/vibecoding-demo/tree/main/.claude/skills/dump-s Command: npx skills add https://github.com/shogochiai/vibecoding-demo --skill dump-s
This Skill simplifies the process of aggregating multiple package specifications into a comprehensive document, reducing manual compilation effort.
Run the dump-s command to output all package specifications as a Markdown document.
High-intent search queries and answers about installing and using this skill.
To consolidate package specifications into a single Markdown document, traverse EtherClaw's lazy entries and parse ETHERCLAW.toml files alongside spec files to generate a unified aggregated report.
The best way to aggregate module specifications for project documentation is to extract and compile all relevant module requirements from EtherClaw entries, producing a comprehensive unified Markdown overview.
Parsing ETHERCLAW.toml files for generating specification reports works by reading the configuration to traverse lazy entries, extracting module specs, and compiling them into an accurate aggregated Markdown format.
Yes, you need EtherClaw because the aggregation process specifically parses ETHERCLAW.toml files and traverses its lazy entries to extract and compile the necessary module specifications accurately.
Yes, you can use specification aggregation for project management review processes, as it provides developers and managers an up-to-date, unified view of module requirements across multiple packages.
Manual compilation of module specifications fails across multiple packages due to the effort required to maintain an up-to-date unified view, which is solved by traversing lazy entries to automate the extraction process.
SimpleEveCreate a validated module spec and initial review baseline.
zzafergokConvert Markdown documents to HTML using marked.js, pandoc, gomarkdown, or static site generators.
aniruddh2003Convert natural language feature descriptions into structured specification files.
wilstoScan a codebase to generate markdown documentation for architecture, APIs, and onboarding.
