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AI Solution Intent

Documents
ai-solution-intent

AI Solution Intent is an Agent Skill for documents published in the majiayu000/claude-skill-registry repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

Use when maintaining the solution intent document: scaffolding new projects (init), surgical updates after architectural changes (sync), or completeness validation (validate).

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How to use this skill

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  1. Open your project in Codex.
  2. Copy and paste the prompt below.
  3. Review files and risks before approving any action.
Prompt to paste
Inspect the Agent Skill at https://github.com/majiayu000/claude-skill-registry/blob/HEAD/skills/documents/ai-solution-intent-arcasilesgroup-ai-engineering/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/ai-solution-intent, but wait for my approval before writing files or running scripts.

Copying this prompt does not install or run the skill. Review third-party files before use.

Solution Intent

Purpose

Manage the solution intent document (docs/solution-intent.md) lifecycle. The solution intent defines the architectural decisions, technical design, and evolution roadmap of the project. Three modes ensure the document stays accurate, complete, and fresh.

When to Use

  • New project needs a solution intent document -> init
  • Architectural changes were made (specs closed, stack changes, new agents/skills) -> sync
  • Pre-release or periodic health check -> validate
  • Automatically invoked by /ai-pr when staged changes include architecture files

Process

  1. Detect mode from arguments: init, sync, or validate
  2. Execute handler -- follow the matching handler in handlers/
  3. Report -- present summary of actions taken

Quick Reference

/ai-solution-intent init       # scaffold from template
/ai-solution-intent sync       # update sections from project state
/ai-solution-intent validate   # completeness and freshness scorecard

Integration

  • Called by: /ai-pr (step 6.7) when architectural changes detected
  • Calls: handlers/init.md, handlers/sync.md, handlers/validate.md
  • Reads: docs/solution-intent.md, .ai-engineering/manifest.yml, .ai-engineering/state/decision-store.json

Governance Notes

Visual priority: diagrams > tables > text. Every section MUST have at least one Mermaid diagram or table. Text accompanies but does not substitute visual representation.

TBD policy: if a section's data is not defined, implemented, or in scope, mark it explicitly as TBD. NEVER invent data.

Writing: use /ai-write patterns for document generation. The handler defines WHAT sections and data to gather; /ai-write defines HOW to write them.

Ownership: docs/solution-intent.md is project-managed. Sync updates data fields but never removes user-authored content. ai-eng update does not touch this file.

References

  • .claude/skills/ai-pr/SKILL.md -- PR workflow that triggers sync automatically
  • .claude/skills/ai-write/SKILL.md -- documentation writing patterns
  • .ai-engineering/manifest.yml -- governance surface counts, tooling, providers $ARGUMENTS