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| #!/usr/bin/env python3 | |
| """Set up the ACE skill for an OpenClaw agent. | |
| Copies the skill folder into the OpenClaw workspace and optionally | |
| appends auto-learning instructions to AGENTS.md. | |
| Usage: | |
| python examples/openclaw/setup.py # interactive | |
| python examples/openclaw/setup.py --no-agents # skip AGENTS.md | |
| python examples/openclaw/setup.py --openclaw-home /path/to/.openclaw | |
| """ | |
| import argparse | |
| import shutil | |
| import sys | |
| from pathlib import Path | |
| SCRIPT_DIR = Path(__file__).resolve().parent | |
| SKILL_SRC = SCRIPT_DIR / "kayba-ace" | |
| AGENTS_SNIPPET = SCRIPT_DIR / "AGENTS.md.snippet" | |
| SKILL_NAME = "kayba-ace" | |
| # Marker to detect if the snippet was already appended | |
| AGENTS_MARKER = "## Auto-Learning" | |
| def find_openclaw_home(override: str | None) -> Path: | |
| """Resolve OPENCLAW_HOME, checking common locations.""" | |
| if override: | |
| p = Path(override).expanduser().resolve() | |
| if p.exists(): | |
| return p | |
| print(f" ERROR: --openclaw-home path does not exist: {p}") | |
| sys.exit(1) | |
| candidates = [ | |
| Path.home() / ".openclaw", | |
| ] | |
| for c in candidates: | |
| if c.exists(): | |
| return c | |
| print(" ERROR: Could not find OpenClaw installation.") | |
| print(" Checked: " + ", ".join(str(c) for c in candidates)) | |
| print(" Use --openclaw-home to specify the path manually.") | |
| sys.exit(1) | |
| def copy_skill(openclaw_home: Path) -> Path: | |
| """Copy the skill folder into the OpenClaw workspace.""" | |
| dest = openclaw_home / "workspace" / "skills" / SKILL_NAME | |
| dest.mkdir(parents=True, exist_ok=True) | |
| # Copy all files (don't overwrite generated skillbook/processed files) | |
| generated = {"ace_skillbook.json", "ace_skillbook.md", "ace_processed.txt"} | |
| for src_file in SKILL_SRC.iterdir(): | |
| if src_file.is_file(): | |
| target = dest / src_file.name | |
| if target.exists() and src_file.name in generated: | |
| print(f" SKIP (generated): {target}") | |
| elif target.exists(): | |
| shutil.copy2(src_file, target) | |
| print(f" UPDATED: {src_file.name} -> {target}") | |
| else: | |
| shutil.copy2(src_file, target) | |
| print(f" COPIED: {src_file.name} -> {target}") | |
| return dest | |
| def patch_agents_md(openclaw_home: Path) -> bool: | |
| """Append auto-learning instructions to AGENTS.md if not already present.""" | |
| agents_md = openclaw_home / "workspace" / "AGENTS.md" | |
| if not AGENTS_SNIPPET.exists(): | |
| print(f" WARNING: snippet not found at {AGENTS_SNIPPET}") | |
| return False | |
| snippet_text = AGENTS_SNIPPET.read_text() | |
| # Strip the comment header from the snippet (lines starting with #) | |
| lines = snippet_text.splitlines() | |
| content_lines = [] | |
| in_header = True | |
| for line in lines: | |
| if in_header and line.startswith("#") and not line.startswith("##"): | |
| continue | |
| in_header = False | |
| content_lines.append(line) | |
| snippet_body = "\n".join(content_lines).strip() | |
| if agents_md.exists(): | |
| existing = agents_md.read_text() | |
| if AGENTS_MARKER in existing: | |
| print(f" SKIP: AGENTS.md already contains '{AGENTS_MARKER}'") | |
| return False | |
| # Append | |
| with open(agents_md, "a") as f: | |
| f.write("\n\n" + snippet_body + "\n") | |
| print(f" UPDATED: {agents_md}") | |
| else: | |
| agents_md.parent.mkdir(parents=True, exist_ok=True) | |
| agents_md.write_text(snippet_body + "\n") | |
| print(f" CREATED: {agents_md}") | |
| return True | |
| def section(name: str) -> None: | |
| print(f"\n{'=' * 50}\n {name}\n{'=' * 50}") | |
| def main() -> None: | |
| parser = argparse.ArgumentParser( | |
| description="Set up the ACE skill for an OpenClaw agent." | |
| ) | |
| parser.add_argument( | |
| "--openclaw-home", | |
| default=None, | |
| help="Path to the OpenClaw home directory (default: ~/.openclaw).", | |
| ) | |
| parser.add_argument( | |
| "--no-agents", | |
| action="store_true", | |
| help="Skip patching AGENTS.md.", | |
| ) | |
| args = parser.parse_args() | |
| section("Finding OpenClaw") | |
| openclaw_home = find_openclaw_home(args.openclaw_home) | |
| print(f" Found: {openclaw_home}") | |
| section("Copying skill folder") | |
| skill_dest = copy_skill(openclaw_home) | |
| print(f" Skill directory: {skill_dest}") | |
| if not args.no_agents: | |
| section("Patching AGENTS.md") | |
| patch_agents_md(openclaw_home) | |
| else: | |
| print("\n Skipping AGENTS.md (--no-agents)") | |
| section("Done") | |
| print(f""" | |
| Skill installed at: {skill_dest} | |
| Next steps: | |
| 1. Build the ACE Docker image (see Dockerfile.ace) | |
| 2. Pass your LLM API key in docker-compose.yml | |
| 3. Restart the gateway: docker compose down && docker compose up -d | |
| 4. Send a message — the agent will run ace-learn automatically | |
| Full guide: https://kayba-ai.github.io/agentic-context-engine/integrations/openclaw/ | |
| """) | |
| if __name__ == "__main__": | |
| main() | |