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https://github.com/cexll/myclaude.git
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97dfa907d9
Replace external inject-spec.py hook with built-in zero-config skill detection in codeagent-wrapper. The system auto-detects project type from fingerprint files (go.mod, package.json, etc.), maps to installed skills, and injects SKILL.md content directly into sub-agent prompts. Key changes: - Add DetectProjectSkills/ResolveSkillContent in executor/prompt.go - Add Skills field to TaskSpec with parallel config parsing - Add --skills CLI flag for explicit override - Update /do SKILL.md Phase 4 with per-task skill examples - Remove on-stop.py global hook (not needed) - Replace inject-spec.py with no-op (detection now internal) - Add 20 unit tests covering detection, resolution, budget, security Security: path traversal protection via validSkillName regex, 16K char budget with tag overhead accounting, CRLF normalization. Generated with SWE-Agent.ai Co-Authored-By: SWE-Agent.ai <noreply@swe-agent.ai>
59 lines
1.8 KiB
Python
Executable File
59 lines
1.8 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Initialize do skill workflow - wrapper around task.py.
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Creates a task directory under .claude/do-tasks/ with:
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- task.md: Task metadata (YAML frontmatter) + requirements (Markdown body)
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If --worktree is specified, also creates a git worktree for isolated development.
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"""
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import argparse
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import sys
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from task import create_task, PHASE_NAMES
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def die(msg: str):
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print(f"Error: {msg}", file=sys.stderr)
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sys.exit(1)
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def main():
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parser = argparse.ArgumentParser(
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description="Initialize do skill workflow with task directory"
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)
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parser.add_argument("--max-phases", type=int, default=5, help="Default: 5")
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parser.add_argument(
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"--completion-promise",
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default="<promise>DO_COMPLETE</promise>",
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help="Default: <promise>DO_COMPLETE</promise>",
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)
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parser.add_argument("--worktree", action="store_true", help="Enable worktree mode")
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parser.add_argument("prompt", nargs="+", help="Task description")
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args = parser.parse_args()
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if args.max_phases < 1:
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die("--max-phases must be a positive integer")
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prompt = " ".join(args.prompt)
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result = create_task(title=prompt, use_worktree=args.worktree)
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task_data = result["task_data"]
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worktree_dir = result.get("worktree_dir", "")
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print(f"Initialized: {result['relative_path']}")
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print(f"task_id: {task_data['id']}")
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print(f"phase: 1/{task_data['max_phases']} ({PHASE_NAMES[1]})")
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print(f"completion_promise: {task_data['completion_promise']}")
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print(f"use_worktree: {task_data['use_worktree']}")
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print(f"export DO_TASK_DIR={result['relative_path']}")
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if worktree_dir:
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print(f"worktree_dir: {worktree_dir}")
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print(f"export DO_WORKTREE_DIR={worktree_dir}")
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if __name__ == "__main__":
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main()
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