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ae-sdd-discovery

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Discover high-level architectural requirements for change-set specs

3 stars
1.2k downloads
Updated 2/27/2026

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SKILL.md

SDD Discovery

Analyze high-level architectural requirements for implementing change-set specs to ensure proper alignment and identify potential concerns.

Required Skills

  • spec-driven-development (state management, phase gates)
  • research
  • architecture-fit-check
  • architecture-workshop

Inputs

[!IMPORTANT] Resolve the change set by running ls changes/ | grep -v archive/. If exactly one directory exists, use it. Only prompt the user when multiple change sets are present.

Instructions

  1. Load spec-driven-development skill and read current state from changes/<name>/state.toml. Apply state entry check per skill guidelines. If lane is not full or phase doesn't permit discovery, redirect the user.

  2. Read proposal.md and any existing specs in changes/<name>/specs/.

  3. Discovery answers how a change fits into or extends the existing architecture:

    • Use research skill to understand current architectural patterns
    • Use architecture-fit-check to assess alignment
    • If concerns exist (technical debt, messy workarounds), enter Daedalus Mode:
      • Explain concerns clearly
      • Explore solutions (light-touch vs. architectural)
      • Reach consensus with the user on approach
  4. Document findings: Capture explorations, tradeoffs, and decisions in changes/<name>/thoughts/

  5. Do not update phase status in this command. After documenting discovery artifacts, suggest ae-sdd-next <name> when the user wants to proceed.

Success Criteria

  • Architecture fit assessed and documented
  • Any concerns captured in thoughts/ directory
  • Discovery artifacts complete and ready for ae-sdd-next
  • User ready to proceed to tasks phase

Usage Examples

Do

  • "This change slots cleanly into the existing Notification pattern."
  • "Implementing this directly would create circular dependencies. Should we introduce an event bus instead?"

Don't

  • Start planning implementation tasks or file-level changes.
  • Guess at architectural alignment without researching the codebase.

Install

Download ZIP
Requires askill CLI v1.0+

AI Quality Score

58/100Analyzed 3/2/2026

Well-structured skill with clear workflow steps and good clarity. Provides explicit triggers (when to prompt user) and success criteria. However, it heavily delegates core work to other skills without providing access to them, making standalone use difficult. The skill is tightly coupled to a specific internal methodology and directory structure, limiting reusability. Missing detailed guidance on how to actually perform research and architecture assessment.

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Metadata

Licenseunknown
Version-
Updated2/27/2026
Publishershanepadgett

Tags

prompting