idea-to-spec
SkillAI & modelsConverts vague ideas into concrete, testable specifications with acceptance criteria. No implementation begins without a spec.
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Then ask your AI: use the idea-to-spec skill
What this skill tells your AI
The instructions your AI receives, as published by developersglobal/ai-agent-skills in skills/idea-to-spec/SKILL.md and read by ahel’s review.
Overview
Vague ideas produce vague implementations. This skill transforms any idea — no matter how fuzzy — into a concrete specification with clear scope, acceptance criteria, and non-goals.
When to Use
- At the start of any new feature
- When a request is ambiguous
- Before creating tasks or writing any code
Process
Step 1: Capture the Core Problem
- Write: "Users currently can't [do X], which causes [pain Y]."
- Identify: who has this problem? How often? What's the impact?
- Distinguish problem from solution — don't spec a solution until the problem is understood.
Verify: You can state the problem without mentioning any implementation.
Step 2: Define Success
- Write 3–7 acceptance criteria in this format:
Given [context] When [action] Then [outcome] - Each criterion must be binary — either it passes or it doesn't.
- Include negative cases: "Given X, the system must NOT do Y."
Verify: A QA engineer can test each criterion without asking for clarification.
Step 3: Define Scope
- In scope: List what is explicitly included.
- Out of scope: List what is explicitly excluded — as important as what's included.
- Open questions: List any decisions that still need resolution before implementation.
Verify: The out-of-scope list has at least 2 items.
Step 4: Define Non-Functional Requirements
- Performance: response time, throughput, scale targets.
- Security: auth requirements, data sensitivity.
- Reliability: uptime SLA, acceptable error rate.
Verification
- Problem statement written without mentioning implementation
- Acceptance criteria in Given/When/Then format
- Each criterion is binary (pass/fail)
- Explicit out-of-scope list
- Open questions listed
References
Signals
- GitHub stars
- 66
- Forks
- 9
- Last commit
- May 2026
Advanced
- Catalog kind
- skill
- Gateway key
idea-to-spec- Source
- github.com/developersglobal/ai-agent-skills