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https://github.com/github/spec-kit.git
synced 2026-07-07 06:35:06 +08:00
fix: recover active skills registration for extensions (#2803)
Extension command registration now resolves the active skills directory before writing command artifacts. This lets initialized skills-backed agents recover a missing active skills directory while preserving the existing preset registration behavior. Add regression coverage for missing active skills directories, shared skills directories, and symlinked parent guards. Fixes #2769. Co-authored-by: OpenAI Codex <codex@openai.com>
This commit is contained in:
@@ -86,6 +86,12 @@ from ._agent_config import (
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DEFAULT_INIT_INTEGRATION as DEFAULT_INIT_INTEGRATION,
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SCRIPT_TYPE_CHOICES as SCRIPT_TYPE_CHOICES,
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)
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from ._init_options import (
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INIT_OPTIONS_FILE as INIT_OPTIONS_FILE,
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is_ai_skills_enabled as _is_ai_skills_enabled,
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load_init_options as load_init_options,
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save_init_options as save_init_options,
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)
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app = typer.Typer(
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name="specify",
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@@ -259,65 +265,6 @@ def ensure_executable_scripts(project_path: Path, tracker: StepTracker | None =
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for f in failures:
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console.print(f" - {f}")
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INIT_OPTIONS_FILE = ".specify/init-options.json"
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def save_init_options(project_path: Path, options: dict[str, Any]) -> None:
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"""Persist the CLI options used during ``specify init``.
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Writes a small JSON file to ``.specify/init-options.json`` so that
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later operations (e.g. preset install) can adapt their behaviour
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without scanning the filesystem.
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"""
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dest = project_path / INIT_OPTIONS_FILE
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dest.parent.mkdir(parents=True, exist_ok=True)
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# Write JSON as real UTF-8 instead of ``\uXXXX`` escape sequences
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# (``ensure_ascii=False``) and pin the file encoding to match.
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#
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# The default ``json.dumps`` output is ASCII-only — any non-ASCII
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# character is encoded as a ``\uXXXX`` escape — so without the
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# ``ensure_ascii=False`` flip below the encoding pin alone would be
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# a no-op for any payload we plausibly write today. We pair the two
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# so the on-disk bytes match a human's expectation of "this file is
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# UTF-8" (greppable, readable in editors that don't decode JSON
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# escapes, friendly to peers running ``cat`` or ``Get-Content``) and
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# so the encoding pin is a real contract instead of a future hedge.
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#
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# ``Path.write_text`` without ``encoding=`` falls back to the system
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# locale codec (cp1252 / gb2312 / cp932 on Windows), which would
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# mis-encode non-ASCII bytes locally and produce a file a peer with
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# a different locale couldn't decode. The sibling integration-
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# catalog writer in ``integrations/catalog.py`` pins
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# ``encoding="utf-8"`` for the same reason.
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dest.write_text(
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json.dumps(options, indent=2, sort_keys=True, ensure_ascii=False),
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encoding="utf-8",
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)
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def load_init_options(project_path: Path) -> dict[str, Any]:
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"""Load the init options previously saved by ``specify init``.
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Returns an empty dict if the file does not exist or cannot be parsed.
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"""
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path = project_path / INIT_OPTIONS_FILE
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if not path.exists():
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return {}
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try:
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# Match the explicit UTF-8 used by ``save_init_options``; without
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# it ``read_text`` falls back to the system codec on Windows and
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# raises ``UnicodeDecodeError`` on any file containing the
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# multi-byte UTF-8 sequences ``save_init_options`` now writes
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# directly. ``UnicodeDecodeError`` is a subclass of
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# ``ValueError``, not ``OSError`` / ``json.JSONDecodeError``, so
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# it must be listed explicitly here to preserve the existing
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# "fall back to empty dict" contract for corrupted / foreign-
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# codec files.
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return json.loads(path.read_text(encoding="utf-8"))
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except (json.JSONDecodeError, OSError, UnicodeDecodeError):
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return {}
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# ---------------------------------------------------------------------------
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# Agent-context extension config helpers
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# ---------------------------------------------------------------------------
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@@ -401,10 +348,10 @@ def resolve_active_skills_dir(project_root: Path) -> Path | None:
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"""Return the active skills directory, creating it on demand when enabled.
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Reads ``.specify/init-options.json`` to determine whether skills are
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enabled and which agent was selected. When ``ai_skills`` is true the
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directory is created safely (symlink/containment checks); when false
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only Kimi's native-skills fallback is honoured (directory must already
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exist).
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enabled and which agent was selected. Only ``ai_skills`` set to boolean
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``True`` creates the directory safely (symlink/containment checks); when
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``ai_skills`` is not boolean ``True``, only Kimi's native-skills fallback
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is honoured, and the native skills directory must already exist.
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Returns:
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The skills directory ``Path``, or ``None`` if skills are not active.
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@@ -425,14 +372,15 @@ def resolve_active_skills_dir(project_root: Path) -> Path | None:
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if not isinstance(agent, str) or not agent:
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return None
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ai_skills_enabled = bool(opts.get("ai_skills"))
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ai_skills_enabled = _is_ai_skills_enabled(opts)
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if not ai_skills_enabled and agent != "kimi":
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return None
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skills_dir = _get_skills_dir(project_root, agent)
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if not ai_skills_enabled:
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# Kimi native-skills fallback: use the directory only if it exists.
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# Kimi native-skills fallback when ai_skills is not boolean True:
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# use the native skills directory only if it already exists.
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if not skills_dir.is_dir():
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return None
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_ensure_safe_shared_directory(
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@@ -441,7 +389,7 @@ def resolve_active_skills_dir(project_root: Path) -> Path | None:
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)
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return skills_dir
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# ai_skills is explicitly enabled — create the directory safely.
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# ai_skills is boolean True: create the directory safely.
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_ensure_safe_shared_directory(
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project_root, skills_dir, context="agent skills directory",
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)
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36
src/specify_cli/_init_options.py
Normal file
36
src/specify_cli/_init_options.py
Normal file
@@ -0,0 +1,36 @@
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"""Helpers for interpreting persisted init options."""
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import json
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from collections.abc import Mapping
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from pathlib import Path
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from typing import Any
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INIT_OPTIONS_FILE = ".specify/init-options.json"
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def save_init_options(project_path: Path, options: dict[str, Any]) -> None:
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"""Persist the CLI options used during ``specify init``."""
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dest = project_path / INIT_OPTIONS_FILE
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dest.parent.mkdir(parents=True, exist_ok=True)
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dest.write_text(
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json.dumps(options, indent=2, sort_keys=True, ensure_ascii=False),
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encoding="utf-8",
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)
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def load_init_options(project_path: Path) -> dict[str, Any]:
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"""Load persisted init options, returning an empty dict when unavailable."""
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path = project_path / INIT_OPTIONS_FILE
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if not path.exists():
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return {}
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try:
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payload = json.loads(path.read_text(encoding="utf-8"))
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except (json.JSONDecodeError, OSError, UnicodeError):
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return {}
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return payload if isinstance(payload, dict) else {}
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def is_ai_skills_enabled(opts: Mapping[str, Any] | None) -> bool:
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"""Return True only when init options explicitly enable AI skills."""
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return isinstance(opts, Mapping) and opts.get("ai_skills") is True
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@@ -15,6 +15,8 @@ from typing import Any, Dict, List, Optional
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import yaml
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from ._init_options import is_ai_skills_enabled, load_init_options
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def _build_agent_configs() -> dict[str, Any]:
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"""Derive CommandRegistrar.AGENT_CONFIGS from INTEGRATION_REGISTRY."""
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@@ -359,11 +361,6 @@ class CommandRegistrar:
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agent_name: str, frontmatter: dict, body: str, project_root: Path
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) -> str:
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"""Resolve script placeholders for skills-backed agents."""
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try:
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from . import load_init_options
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except ImportError:
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return body
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if not isinstance(frontmatter, dict):
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frontmatter = {}
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@@ -474,6 +471,29 @@ class CommandRegistrar:
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return False
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return os.path.normpath(name) == name
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@staticmethod
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def _same_lexical_path(left: Path, right: Path) -> bool:
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"""Compare paths after lexical normalization without resolving symlinks."""
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return os.path.normcase(os.path.normpath(os.fspath(left))) == os.path.normcase(
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os.path.normpath(os.fspath(right))
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)
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@staticmethod
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def _active_skills_agent(project_root: Path) -> Optional[str]:
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"""Return the initialized skills-backed agent, if skills mode is active."""
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opts = load_init_options(project_root)
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if not isinstance(opts, dict):
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return None
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agent = opts.get("ai")
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if not isinstance(agent, str) or not agent:
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return None
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# Kimi is a native skills integration; when ai_skills is not boolean
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# True, Kimi still uses its existing SKILL.md layout.
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if not is_ai_skills_enabled(opts) and agent != "kimi":
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return None
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return agent
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def register_commands(
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self,
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agent_name: str,
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@@ -806,6 +826,7 @@ class CommandRegistrar:
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project_root: Path,
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context_note: str = None,
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link_outputs: bool = False,
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create_missing_active_skills_dir: bool = False,
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) -> Dict[str, List[str]]:
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"""Register commands for all detected agents in the project.
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@@ -817,6 +838,11 @@ class CommandRegistrar:
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context_note: Custom context comment for markdown output
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link_outputs: If True, create dev-mode symlinks for rendered
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command files when supported by the OS.
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create_missing_active_skills_dir: If True, attempt missing-dir
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recovery only for the active initialized skills-backed agent.
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Recovery requires active skills mode (or Kimi's existing native
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skills directory) and is skipped when safe resolution or
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creation fails.
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Returns:
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Dictionary mapping agent names to list of registered commands
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@@ -824,7 +850,17 @@ class CommandRegistrar:
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results = {}
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self._ensure_configs()
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active_skills_agent = (
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self._active_skills_agent(project_root)
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if create_missing_active_skills_dir else None
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)
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active_created_skills_dir: Optional[Path] = None
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for agent_name, agent_config in self.AGENT_CONFIGS.items():
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active_skills_output = (
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agent_name == active_skills_agent
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and agent_config.get("extension") == "/SKILL.md"
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)
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recovered_active_skills_dir: Optional[Path] = None
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# Check detect_dir first (project-local marker) if configured,
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# falling back to the resolved dir for output. This prevents
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# global dirs (e.g. ~/.hermes/skills) from causing false
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@@ -832,13 +868,55 @@ class CommandRegistrar:
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detect_dir_str = agent_config.get("detect_dir")
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if detect_dir_str:
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detect_path = project_root / detect_dir_str
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if not detect_path.exists():
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continue
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if not detect_path.is_dir():
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if not active_skills_output:
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continue
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try:
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from . import resolve_active_skills_dir
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recovered_active_skills_dir = (
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resolve_active_skills_dir(project_root)
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)
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except (ValueError, OSError):
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continue
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if recovered_active_skills_dir is None or not detect_path.is_dir():
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continue
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active_created_skills_dir = recovered_active_skills_dir
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agent_dir = self._resolve_agent_dir(
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agent_name, agent_config, project_root,
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)
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if agent_dir.exists():
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agent_dir_existed = agent_dir.is_dir()
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register_missing_active_skills_agent = (
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not agent_dir_existed
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and active_skills_output
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)
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if register_missing_active_skills_agent:
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if recovered_active_skills_dir is None:
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try:
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from . import resolve_active_skills_dir
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recovered_active_skills_dir = (
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resolve_active_skills_dir(project_root)
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)
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except (ValueError, OSError):
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continue
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if recovered_active_skills_dir is None:
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continue
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active_created_skills_dir = recovered_active_skills_dir
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# Shared skill dirs such as .agents/skills should not make
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# later integrations look detected when the active agent just
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# recreated the directory during this registration pass.
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created_by_active_agent = (
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active_created_skills_dir is not None
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and self._same_lexical_path(agent_dir, active_created_skills_dir)
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and agent_name != active_skills_agent
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)
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should_register = (
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agent_dir_existed and not created_by_active_agent
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) or register_missing_active_skills_agent
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if should_register:
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try:
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registered = self.register_commands(
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agent_name,
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@@ -852,8 +930,16 @@ class CommandRegistrar:
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)
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if registered:
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results[agent_name] = registered
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if register_missing_active_skills_agent:
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active_created_skills_dir = (
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recovered_active_skills_dir or agent_dir
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)
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except ValueError:
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continue
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except OSError:
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if register_missing_active_skills_agent:
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continue
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raise
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return results
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@@ -892,12 +978,12 @@ class CommandRegistrar:
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detect_dir_str = agent_config.get("detect_dir")
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if detect_dir_str:
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detect_path = project_root / detect_dir_str
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if not detect_path.exists():
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if not detect_path.is_dir():
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continue
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agent_dir = self._resolve_agent_dir(
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agent_name, agent_config, project_root,
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)
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if agent_dir.exists():
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if agent_dir.is_dir():
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try:
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registered = self.register_commands(
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agent_name,
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@@ -26,14 +26,15 @@ from packaging import version as pkg_version
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from packaging.specifiers import SpecifierSet, InvalidSpecifier
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from .catalogs import CatalogEntry as BaseCatalogEntry, CatalogStackBase
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from ._init_options import is_ai_skills_enabled
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_FALLBACK_CORE_COMMAND_NAMES = frozenset({
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"analyze",
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"checklist",
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"clarify",
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"constitution",
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"implement",
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"plan",
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"checklist",
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"specify",
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"tasks",
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"taskstoissues",
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@@ -830,15 +831,53 @@ class ExtensionManager:
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be created due to symlink, containment, or permission issues so
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that callers can fall back gracefully.
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"""
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from . import resolve_active_skills_dir, _print_cli_warning
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from . import (
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_print_cli_warning,
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load_init_options,
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resolve_active_skills_dir,
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)
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def _ensure_usable(skills_dir: Path) -> Optional[Path]:
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try:
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skills_dir.mkdir(parents=True, exist_ok=True)
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if not skills_dir.is_dir():
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raise NotADirectoryError(f"{skills_dir} is not a directory")
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except (OSError, ValueError) as exc:
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_print_cli_warning(
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"resolve", "skills directory", str(skills_dir), exc,
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continuing="Continuing without skill registration.",
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)
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return None
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return skills_dir
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try:
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return resolve_active_skills_dir(self.project_root)
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skills_dir = resolve_active_skills_dir(self.project_root)
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except (ValueError, OSError) as exc:
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_print_cli_warning(
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"resolve", "skills directory", None, exc,
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continuing="Continuing without skill registration.",
|
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)
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return None
|
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if skills_dir is None:
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return None
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opts = load_init_options(self.project_root)
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if not isinstance(opts, dict):
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return _ensure_usable(skills_dir)
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selected_ai = opts.get("ai")
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if not isinstance(selected_ai, str) or not selected_ai:
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return _ensure_usable(skills_dir)
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from .agents import CommandRegistrar
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registrar = CommandRegistrar()
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agent_config = registrar.AGENT_CONFIGS.get(selected_ai)
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if agent_config and agent_config.get("extension") == "/SKILL.md":
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agent_skills_dir = registrar._resolve_agent_dir(
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selected_ai, agent_config, self.project_root
|
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)
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return _ensure_usable(agent_skills_dir)
|
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return _ensure_usable(skills_dir)
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def _register_extension_skills(
|
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self,
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@@ -1249,7 +1288,11 @@ class ExtensionManager:
|
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registrar = CommandRegistrar()
|
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# Register for all detected agents
|
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registered_commands = registrar.register_commands_for_all_agents(
|
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manifest, dest_dir, self.project_root, link_outputs=link_commands
|
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manifest,
|
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dest_dir,
|
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self.project_root,
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link_outputs=link_commands,
|
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create_missing_active_skills_dir=True,
|
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)
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|
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# Auto-register extension commands as agent skills when --ai-skills
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@@ -1540,9 +1583,10 @@ class ExtensionManager:
|
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init_options = {}
|
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|
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active_agent = init_options.get("ai")
|
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ai_skills_enabled = is_ai_skills_enabled(init_options)
|
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skills_mode_active = (
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active_agent == agent_name
|
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and bool(init_options.get("ai_skills"))
|
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and ai_skills_enabled
|
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and bool(agent_config)
|
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and agent_config.get("extension") != "/SKILL.md"
|
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)
|
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@@ -1736,6 +1780,7 @@ class CommandRegistrar:
|
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extension_dir: Path,
|
||||
project_root: Path,
|
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link_outputs: bool = False,
|
||||
create_missing_active_skills_dir: bool = False,
|
||||
) -> Dict[str, List[str]]:
|
||||
"""Register extension commands for all detected agents."""
|
||||
context_note = f"\n<!-- Extension: {manifest.id} -->\n<!-- Config: .specify/extensions/{manifest.id}/ -->\n"
|
||||
@@ -1743,6 +1788,7 @@ class CommandRegistrar:
|
||||
manifest.commands, manifest.id, extension_dir, project_root,
|
||||
context_note=context_note,
|
||||
link_outputs=link_outputs,
|
||||
create_missing_active_skills_dir=create_missing_active_skills_dir,
|
||||
)
|
||||
|
||||
def unregister_commands(
|
||||
@@ -2530,10 +2576,11 @@ class HookExecutor:
|
||||
|
||||
init_options = self._load_init_options()
|
||||
selected_ai = init_options.get("ai")
|
||||
codex_skill_mode = selected_ai == "codex" and bool(init_options.get("ai_skills"))
|
||||
claude_skill_mode = selected_ai == "claude" and bool(init_options.get("ai_skills"))
|
||||
ai_skills_enabled = is_ai_skills_enabled(init_options)
|
||||
codex_skill_mode = selected_ai == "codex" and ai_skills_enabled
|
||||
claude_skill_mode = selected_ai == "claude" and ai_skills_enabled
|
||||
kimi_skill_mode = selected_ai == "kimi"
|
||||
cursor_skill_mode = selected_ai == "cursor-agent" and bool(init_options.get("ai_skills"))
|
||||
cursor_skill_mode = selected_ai == "cursor-agent" and ai_skills_enabled
|
||||
cline_mode = selected_ai == "cline"
|
||||
|
||||
skill_name = self._skill_name_from_command(command_id)
|
||||
|
||||
@@ -34,6 +34,21 @@ _HOOK_COMMAND_NOTE = (
|
||||
"For example, `speckit.git.commit` → `/speckit-git-commit`.\n"
|
||||
)
|
||||
|
||||
_CORE_COMMAND_TEMPLATE_ORDER = (
|
||||
"analyze",
|
||||
"clarify",
|
||||
"constitution",
|
||||
"implement",
|
||||
"plan",
|
||||
"checklist",
|
||||
"specify",
|
||||
"tasks",
|
||||
"taskstoissues",
|
||||
)
|
||||
_CORE_COMMAND_TEMPLATE_RANK = {
|
||||
command: index for index, command in enumerate(_CORE_COMMAND_TEMPLATE_ORDER)
|
||||
}
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# IntegrationOption
|
||||
@@ -355,11 +370,19 @@ class IntegrationBase(ABC):
|
||||
return None
|
||||
|
||||
def list_command_templates(self) -> list[Path]:
|
||||
"""Return sorted list of command template files from the shared directory."""
|
||||
"""Return ordered list of command template files from the shared directory."""
|
||||
cmd_dir = self.shared_commands_dir()
|
||||
if not cmd_dir or not cmd_dir.is_dir():
|
||||
return []
|
||||
return sorted(f for f in cmd_dir.iterdir() if f.is_file() and f.suffix == ".md")
|
||||
return sorted(
|
||||
(f for f in cmd_dir.iterdir() if f.is_file() and f.suffix == ".md"),
|
||||
key=lambda f: (
|
||||
_CORE_COMMAND_TEMPLATE_RANK.get(
|
||||
f.stem, len(_CORE_COMMAND_TEMPLATE_ORDER)
|
||||
),
|
||||
f.name,
|
||||
),
|
||||
)
|
||||
|
||||
def command_filename(self, template_name: str) -> str:
|
||||
"""Return the destination filename for a command template.
|
||||
|
||||
@@ -29,6 +29,7 @@ from packaging.specifiers import SpecifierSet, InvalidSpecifier
|
||||
|
||||
from .extensions import REINSTALL_COMMAND, ExtensionRegistry, normalize_priority
|
||||
from .integrations.base import IntegrationBase
|
||||
from ._init_options import is_ai_skills_enabled
|
||||
|
||||
|
||||
def _substitute_core_template(
|
||||
@@ -1262,7 +1263,7 @@ class PresetManager:
|
||||
selected_ai = init_opts.get("ai")
|
||||
if not isinstance(selected_ai, str):
|
||||
return []
|
||||
ai_skills_enabled = bool(init_opts.get("ai_skills"))
|
||||
ai_skills_enabled = is_ai_skills_enabled(init_opts)
|
||||
registrar = CommandRegistrar()
|
||||
integration = get_integration(selected_ai)
|
||||
agent_config = registrar.AGENT_CONFIGS.get(selected_ai, {})
|
||||
|
||||
Reference in New Issue
Block a user