feat: implement preset wrap strategy (#2189)

* feat: implement strategy: wrap

* fix: resolve merge conflict for strategy wrap correctness

* feat: multi-preset composable wrapping with priority ordering

Implements comment #4 from PR review: multiple installed wrap presets
now compose in priority order rather than overwriting each other.

Key changes:
- PresetResolver.resolve() gains skip_presets flag; resolve_core() wraps
  it to skip tier 2, preventing accidental nesting during replay
- _replay_wraps_for_command() recomposed all enabled wrap presets for a
  command in ascending priority order (innermost-first) after any
  install or remove
- _replay_skill_override() keeps SKILL.md in sync with the recomposed
  command body for ai-skills-enabled projects
- install_from_directory() detects strategy: wrap commands, stores
  wrap_commands in the registry entry, and calls replay after install
- remove() reads wrap_commands before deletion, removes registry entry
  before rmtree so replay sees post-removal state, then replays
  remaining wraps or unregisters when none remain

Tests: TestResolveCore (5), TestReplayWrapsForCommand (5),
TestInstallRemoveWrapLifecycle (5), plus 2 skill/alias regression tests

* fix: resolve extension commands via manifest file mapping

PresetResolver.resolve_extension_command_via_manifest() consults each
installed extension.yml to find the actual file declared for a command
name, rather than assuming the file is named <cmd_name>.md.  This fixes
_substitute_core_template for extensions like selftest where the manifest
maps speckit.selftest.extension → commands/selftest.md.

Resolution order in _substitute_core_template is now:
  1. resolve_core(cmd_name) — project overrides win, then name-based lookup
  2. resolve_extension_command_via_manifest(cmd_name) — manifest fallback
  3. resolve_core(short_name) — core template short-name fallback

Path traversal guard mirrors the containment check already present in
ExtensionManager to reject absolute paths or paths escaping the extension
root.

* fix: add bundled core_pack as Priority 5 in PresetResolver.resolve()

resolve_core() was returning None for built-in commands (implement,
specify, etc.) because PresetResolver only checked .specify/templates/
commands/ (Priority 4), which is never populated for commands in a
normal project. strategy:wrap presets rely on resolve_core() to fetch
the {CORE_TEMPLATE} body, so the wrap was silently skipped and SKILL.md
was never updated.

Priority 5 now checks core_pack/commands/ (wheel install) or
repo_root/templates/commands/ (source checkout), mirroring the pattern
used by _locate_core_pack() elsewhere.

Updated two tests whose assertions assumed resolve_core() always
returned None when .specify/templates/commands/ was absent.

* fix: harden preset wrap replay removal

* fix: stabilize existing directory error output

* fix: track outermost_pack_id from contributing preset; use Path.parts in tests

- outermost_pack_id now updates alongside outermost_frontmatter inside
  the wrap loop, so it reflects the actual last contributing preset
  rather than always taking wrap_presets[0] (which may have been skipped)
- Replace str(path) substring checks in TestResolveCore with Path.parts
  tuple comparisons for correct behaviour on Windows (CI runs windows-latest)

* fix: guard against non-mapping YAML manifests; apply integration post-processing in replay

- ExtensionManifest._load raises ValidationError for non-dict YAML roots instead of TypeError
- PresetManager._replay_wraps_for_command calls integration.post_process_skill_content,
  matching _register_skills behaviour
- PresetResolver skips extensions that raise OSError/TypeError/AttributeError on manifest load
- Tests: non-mapping YAML, OSError manifest skip, and replay integration post-processing

src/specify_cli/agents.py

@@ -468,6 +468,15 @@ class CommandRegistrar:
             content = source_file.read_text(encoding="utf-8")
             frontmatter, body = self.parse_frontmatter(content)
 
+            if frontmatter.get("strategy") == "wrap":
+                from .presets import _substitute_core_template
+                body, core_frontmatter = _substitute_core_template(body, cmd_name, project_root, self)
+                frontmatter = dict(frontmatter)
+                for key in ("scripts", "agent_scripts"):
+                    if key not in frontmatter and key in core_frontmatter:
+                        frontmatter[key] = core_frontmatter[key]
+                frontmatter.pop("strategy", None)
+
             frontmatter = self._adjust_script_paths(frontmatter)
 
             for key in agent_config.get("strip_frontmatter_keys", []):
@@ -495,10 +504,12 @@ class CommandRegistrar:
                     project_root,
                 )
             elif agent_config["format"] == "markdown":
-                output = self.render_markdown_command(
-                    frontmatter, body, source_id, context_note
-                )
+                body = self.resolve_skill_placeholders(agent_name, frontmatter, body, project_root)
+                body = self._convert_argument_placeholder(body, "$ARGUMENTS", agent_config["args"])
+                output = self.render_markdown_command(frontmatter, body, source_id, context_note)
             elif agent_config["format"] == "toml":
+                body = self.resolve_skill_placeholders(agent_name, frontmatter, body, project_root)
+                body = self._convert_argument_placeholder(body, "$ARGUMENTS", agent_config["args"])
                 output = self.render_toml_command(frontmatter, body, source_id)
             elif agent_config["format"] == "yaml":
                 output = self.render_yaml_command(