feat: add extract-feature and export-spec portability skills
Two new OpenSpec skills for porting features to sandboxed codebases: - /opsx:extract-feature generates minimal, printable code recipes - /opsx:export-spec generates compact specs for AI-assisted reimplementation Both support cumulative dependency analysis across archived changes. Includes first export of migrate-to-semantic-kernel in all three formats: code recipe (~120 lines), portable spec (~40 lines), OpenSpec variant (~25 lines). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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name: "OPSX: Export Spec"
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description: Export a feature as a compact, portable spec for AI-assisted reimplementation on a sandboxed machine
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category: Workflow
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tags: [workflow, portability, experimental]
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---
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Export a feature as a portable spec for AI-assisted reimplementation.
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Instead of retyping code, you retype a compact spec. The AI on the sandbox generates the code.
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---
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**Input**: The argument after `/opsx:export-spec` is a change name (active or archived), or a description of the feature. If omitted, prompt for selection.
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**Steps**
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1. **Identify the source feature**
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Same selection logic as `/opsx:extract-feature`:
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- Check active changes and archive for the change name
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- If not found, prompt with **AskUserQuestion tool**
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- Read all artifacts: `proposal.md`, `design.md`, `tasks.md`, specs
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2. **Analyze dependency chain (cumulative mode)**
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Features often build on each other. Before generating the spec, determine
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what the target feature depends on.
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a. Read all archived change proposals in `openspec/changes/archive/` (sorted by date).
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b. Build a dependency graph: what does the target require? What's superseded?
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c. Ask the user:
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> "This feature depends on earlier changes. How should I scope the spec?"
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> 1. **Cumulative** — include all foundation (recommended for fresh codebase)
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> 2. **Delta only** — just this change (target already has foundation)
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> 3. **Custom** — pick which dependencies to include
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d. In cumulative mode: merge into one coherent spec, skip superseded components.
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e. In delta mode: add an "Assumes" section listing what must already exist.
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3. **Read the actual implementation**
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Read all source files created or modified by this feature (and dependencies if cumulative).
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The spec must reflect what was actually built, not just what was planned.
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4. **Determine the target context**
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Use **AskUserQuestion tool** to ask:
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> "Tell me about the target codebase:
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> 1. Project name / root namespace
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> 2. Existing stack (ASP.NET Core? Blazor? MudBlazor?)
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> 3. Does it already have any of these? (controllers, DI setup, chat endpoint)
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> 4. Does the target have OpenSpec? GitHub Copilot? Claude Code?"
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This shapes what the spec assumes vs what it must specify.
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5. **Generate the portable spec**
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Create a single markdown document that is:
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- **Compact**: Target ~30-50 lines for a medium feature
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- **Precise**: Unambiguous enough for an AI to implement correctly
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- **Self-contained**: No references to external files or repos
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- **Stack-aware**: Uses the right terminology for the target stack
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Structure:
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```markdown
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# Feature: <Name>
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## Target: <project name> (<stack>)
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## Packages
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<list with versions>
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## Architecture
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<2-3 sentence overview>
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## Components
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### <Component>: <path hint>
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- <What it does>
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- <Key behavior>
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- <Interface/contract>
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## Contracts
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<API shapes, model definitions — things that MUST be exact>
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## Wiring
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<DI registration, middleware order, config keys — dependency order>
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## Behavior
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<Non-obvious requirements>
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```
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**Compression strategies:**
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- Use bullet points, not prose
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- Specify contracts precisely (field names, types, API shapes)
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- Let the AI infer standard patterns
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- Only specify non-obvious behavior
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- Omit anything the AI would do by default
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6. **Estimate typing effort**
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Count characters in the spec. Compare to the code recipe equivalent.
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Show the compression ratio.
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7. **Optionally generate an OpenSpec-compatible version**
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If the target has OpenSpec, also generate:
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- A `proposal.md` (minimal — 5-10 lines)
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- A `tasks.md` (implementation steps)
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Save as: `openspec/exports/<change-name>-openspec.md`
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8. **Write the output**
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Save to: `openspec/exports/<change-name>-spec.md`
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Display the full content for review.
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**Guardrails**
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- Prioritize precision over brevity — ambiguity wastes more time than length
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- Always include exact field names, types, and API shapes
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- Include non-obvious gotchas (like /v1 base URL requirements)
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- Mental test: could an AI implement this correctly without seeing the original code?
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- If too complex for ~50 lines, split into multiple specs by component
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- Always show the compression ratio
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- Must be readable when printed in monospace — no wide tables or long lines
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- In cumulative mode, the spec must read as one coherent feature, not a list of changes
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- Skip superseded components — always describe the latest version
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- In delta mode, add an "Assumes" section so the target AI knows what must exist
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- In the output header, note which changes were included and which were skipped
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ARGUMENTS: based on the above
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