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aircury/ai-framework98 installs

open-spec-propose

Propose a change with optional working artifacts. Use when the user wants a structured proposal with design notes, tasks, and a clear path to implementation.

How do I install this agent skill?

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

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The skill automates project change documentation by creating local markdown files for proposals, designs, and tasks. It operates entirely on the local file system using platform tools and does not perform network operations or access sensitive system resources.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

What does this agent skill do?

Propose a new change and create optional working artifacts.

I'll create a change with artifacts:

  • proposal.md (what & why)
  • design.md (how)
  • tasks.md (implementation steps)

When ready to implement, use the open-spec-apply skill


Input: The user's request should include a change name (kebab-case) OR a description of what they want to build.

Steps

  1. If no clear input provided, ask what they want to build

    Use the AskUserQuestion tool (open-ended, no preset options) to ask:

    "What change do you want to work on? Describe what you want to build or fix."

    From their description, derive a kebab-case name (e.g., "add user authentication" → add-user-auth).

    IMPORTANT: Do NOT proceed without understanding what the user wants to build.

  2. Create the change directory

    Create specs/changes/<name>/.

    specs/changes/ is gitignored. It is optional workflow scaffolding. Only specs/features/ is canonical and versioned.

  3. Create the working artifacts

    Use the TodoWrite tool to track progress.

    Create:

    • proposal.md: problem, goals, non-goals, scope
    • design.md: architecture, decisions, tradeoffs, boundaries
    • tasks.md: concrete implementation steps with checkboxes

    Artifact rules:

    • Keep them technology-aware if helpful for delivery.
    • Keep them aligned with AGENTS.md and the enabled capability docs.
    • Use specs/features/ as the canonical behavior baseline.
    • If the change modifies existing behavior, reference the affected canonical specs.
    • If the user already gave enough detail, write the artifacts directly instead of asking more questions.
  4. Ensure the change is implementation-ready

    Before finishing, make sure:

    • proposal.md explains why the change exists.
    • design.md explains the intended approach and boundaries.
    • tasks.md contains an ordered execution plan.
    • The change name and artifacts are specific enough that the open-spec-apply skill can execute them.

Output

After completing all artifacts, summarise:

  • Change name and location
  • List of artifacts created with brief descriptions
  • What's ready: "All artifacts created! Ready for implementation."
  • Prompt: "Use the open-spec-apply skill to implement. When done, use the open-spec-complete skill to sync specs/features/ and clean up these ephemeral artifacts."

Guardrails

  • Create all three core artifacts unless the user explicitly asks for less
  • If context is critically unclear, ask the user - but prefer making reasonable decisions to keep momentum
  • If a change with that name already exists, ask if user wants to continue it or create a new one
  • Verify each artifact file exists after writing before proceeding to next
  • Never treat working artifacts as canonical specs

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/open-spec-propose">View open-spec-propose on skillZs</a>