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aircury/ai-framework115 installs

spec-kit-specify

Create a feature specification from a user description. Focuses on WHAT and WHY, never HOW. Use at the start of a spec-kit workflow.

How do I install this agent skill?

npx skills add https://github.com/aircury/ai-framework --skill spec-kit-specify
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The skill is a documentation utility designed to generate feature specifications as markdown files. No security risks or malicious patterns were identified during the analysis.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

What does this agent skill do?

Create a feature specification from a natural language description.

Input: Feature description. If not provided, ask the user what they want to build.

Steps

  1. Collect the feature description

    If input is missing or vague, ask:

    "What feature do you want to specify? Describe what it should do and why."

    Derive a kebab-case name (e.g., "add user authentication" → user-auth).

  2. Create the change directory

    Create specs/changes/<name>/.

    specs/changes/ is gitignored. Only specs/features/ is canonical and versioned.

  3. Write specs/changes/<name>/spec.md

    Structure:

    # Spec: <Feature Name>
    
    ## Problem
    <Why this feature is needed.>
    
    ## Goals
    <What success looks like, in measurable, technology-agnostic terms.>
    
    ## Non-Goals
    <What is explicitly out of scope.>
    
    ## User Stories
    - As a <role>, I want <goal> so that <benefit>. [P1/P2/P3]
    
    ## Success Criteria
    <Testable, technology-agnostic acceptance criteria.>
    
    ## Open Questions
    - [NEEDS CLARIFICATION] <question> — impact: <scope|security|ux|technical>
    

    Rules:

    • Focus on WHAT and WHY. Never describe HOW or name technologies.
    • Maximum 3 [NEEDS CLARIFICATION] markers, prioritised by scope > security > UX > technical.
    • Make informed, reasonable defaults for unspecified details.
    • Written for business stakeholders, not developers.
    • Align with FRAMEWORK.md governing principles.
  4. Validate quality

    Before finishing, verify:

    • All success criteria are measurable and technology-agnostic.
    • No implementation details or framework names appear.
    • User stories have priorities.
    • Open questions are minimal and high-impact.

Output

After writing the spec, summarise:

  • Change name and file location.
  • Number of open questions (if any).
  • Next step: "Use the spec-kit-clarify skill to resolve open questions, or the spec-kit-plan skill if the spec is clear."

Guardrails

  • If a change with that name already exists, ask if the user wants to continue it or create a new one.
  • Never include HOW — no tech stack, frameworks, or implementation details in the spec.
  • Prefer making reasonable assumptions over asking unnecessary questions.

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/aircury/ai-framework/spec-kit-specify">View spec-kit-specify on skillZs</a>