mcpbeat

Idea Screener

willoscar/idea-screener

| Screen the direction pool with a discussion-first scoring pass, writing `output/trace/IDEA_SCREENING_TABLE.md`.

913 tokens
context cost
the whole folder, loaded on every use
2
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
496
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/WILLOSCAR/research-units-pipeline-skills --skill idea-screener

What comes with it

2 512 bytes besides the instruction
scripts/run.py

The instruction itself

5 sections, as written by the author

Idea Screener

Goal: compress a direction pool into a scored comparison table that helps shortlist the most discussion-worthy directions.

The screener should reward:

  • advisor-useful rank separation,
  • distinct contribution shapes,
  • concrete prior-work grounding,

and penalize same-template directions that only swap nouns.

Script

Quick Start

  • uv run python .codex/skills/idea-screener/scripts/run.py --workspace <workspace>

All Options

  • --workspace <dir> (required)
  • --unit-id <U###>
  • --inputs <semicolon-separated>
  • --outputs <semicolon-separated>
  • --checkpoint <C#>

Examples

  • Screen a direction pool for a brainstorm workspace:
  • uv run python .codex/skills/idea-screener/scripts/run.py --workspace workspaces/brainstorm-llm-agents

How to use it

Copy the folder

Take willoscar/idea-screener from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.