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 What's superseded?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d. In cumulative mode: merge into one coherent spec, skip superseded components.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