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.archon/domain-lenses/tools/capability/need-map.md

Source location: docs/source-files/.archon/domain-lenses/tools/capability/need-map.md — this page is a rendered mirror; the file is the source of truth.

Tool: need-map

Domain: capability Purpose: Map a user request to the reusable capability category and knowledge asset lane it needs.

Inputs:

  • Demand summary
  • Current project constraints and manifest facts when available
  • Existing knowledge asset index, including skills, rules, tests, domain tools, and ADRs

Outputs:

  • Capability category
  • Recommended knowledge asset lane
  • Missing evidence or asset gap

Retrieval Cues:

  • toolset
  • capability
  • best practice
  • adoption guidance
  • deployment strategy
  • data platform
  • state management
  • responsive behavior
  • loading strategy
  • skeleton screen

Output Format:

text
capability_need_map:
- capability_category: <deployment|data-platform|state-management|responsive-ui|loading-feedback|other>
- reusable_asset_lane: <skill|domain-tool|rule|test|design-plan|manifest-fact|ADR>
- existing_asset: <asset id or none>
- gap: <missing practice, evidence, or project fact>

Use When:

  • The user asks for reusable best-practice tools rather than a single code change
  • The demand names a capability area but not the knowledge vehicle that should carry it
  • Archon must decide whether to load an existing skill or create a project-specific plan

Do Not:

  • Treat a named provider or framework as automatically fit for the project
  • Store provider-specific commands, APIs, versions, pricing, or credentials in this universal card
  • Use this tool outside the selected capability lens
  • Use this tool to justify unrelated work
  • This tool cannot call other tools
  • This tool cannot create lifecycle gates
  • This tool cannot override soul

Verification:

  • The category is stated as a capability, not a vendor or library preference
  • The asset lane follows the constraint pyramid and does not invent a parallel memory vehicle
  • Any missing evidence is explicit enough to drive the next proof or skill lookup

Released under the Apache-2.0 License.