Agent skill

requirements-clarity

Clarify ambiguous requirements through focused dialogue before implementation. Use when requirements are unclear, features are complex (>2 days), or involve cross-team coordination. Ask two core questions - Why? (YAGNI check) and Simpler? (KISS check) - to ensure clarity before coding.

Softaworks2,247★ · +27/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add softaworks/agent-toolkit --skill requirements-clarity --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 9 KB
Bundled scripts: none
Path: skills/requirements-clarity/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,276 · +29 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Requirements Clarity Skill ## Description Automatically transforms vague requirements into actionable PRDs through systematic clarification with a 100-point scoring system. ## Instructions When invoked, detect vague requirements: 1. **Vague Feature Requests** - User says: "add login feature", "implement payment", "create dashboard" - Missing: How, with what technology, what constraints? 2. **Mis

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About this skill
What does the requirements-clarity skill do?

Clarify ambiguous requirements through focused dialogue before implementation. Use when requirements are unclear, features are complex (>2 days), or involve cross-team coordination. Ask two core questions - Why? (YAGNI check) and Simpler? (KISS check) - to ensure clarity before coding.

How do I install it?

Run `npx skills add softaworks/agent-toolkit --skill requirements-clarity --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From softaworks/agent-toolkit, a repository with 2,276 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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