OpenWorker: initial import

Imported from andrewyng/aisuite@1b4bbf303e
(contents of its platform/ directory, hoisted to the repo root).
Development history prior to this commit lives in that repository.

Co-authored-by: Devika <devikaverma11@gmail.com>

coworker/skills/base.py

@@ -0,0 +1,115 @@
+"""Skill loading — Anthropic SKILL.md format with progressive disclosure.
+
+A skill is a folder containing `SKILL.md` (YAML frontmatter: name, description,
+optional allowed-tools) + a markdown body of instructions + optional resources/scripts.
+
+Progressive disclosure: at session start only the catalog (name + description) is injected
+into the agent's context; the full body is loaded on demand via the `load_skill` tool.
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Optional
+
+import aisuite as ai
+
+
+@dataclass
+class Skill:
+    name: str
+    description: str
+    instructions: str = ""  # full body — loaded on demand
+    path: Optional[str] = None
+    allowed_tools: list[str] = field(default_factory=list)
+
+
+class SkillLoader:
+    def __init__(self, dirs: list[str | Path]) -> None:
+        self._skills: dict[str, Skill] = {}
+        for directory in dirs:
+            self._discover(Path(directory))
+
+    def _discover(self, directory: Path) -> None:
+        if not directory.is_dir():
+            return
+        for sub in sorted(directory.iterdir()):
+            md = sub / "SKILL.md"
+            if md.is_file():
+                skill = _parse_skill(md)
+                self._skills[skill.name] = skill
+
+    def names(self) -> list[str]:
+        return list(self._skills)
+
+    def get(self, name: str) -> Optional[Skill]:
+        return self._skills.get(name)
+
+    def catalog(self) -> list[dict]:
+        return [
+            {"name": s.name, "description": s.description}
+            for s in self._skills.values()
+        ]
+
+
+def _parse_skill(md: Path) -> Skill:
+    text = md.read_text(encoding="utf-8")
+    name, description, allowed, body = md.parent.name, "", [], text
+    if text.startswith("---"):
+        end = text.find("\n---", 3)
+        if end != -1:
+            frontmatter = text[3:end]
+            body = text[end + 4 :].lstrip("\n")
+            for line in frontmatter.splitlines():
+                if ":" not in line:
+                    continue
+                key, value = line.split(":", 1)
+                key, value = key.strip().lower(), value.strip()
+                if key == "name" and value:
+                    name = value
+                elif key == "description":
+                    description = value
+                elif key in ("allowed-tools", "allowed_tools"):
+                    allowed = [t.strip() for t in value.split(",") if t.strip()]
+    return Skill(
+        name=name,
+        description=description,
+        instructions=body.strip(),
+        path=str(md.parent),
+        allowed_tools=allowed,
+    )
+
+
+def skill_catalog_text(loader: SkillLoader) -> str:
+    catalog = loader.catalog()
+    if not catalog:
+        return ""
+    lines = [f"- {c['name']}: {c['description']}" for c in catalog]
+    return (
+        "Available skills — call load_skill(name) to load one's full instructions when "
+        "it's relevant to the task:\n" + "\n".join(lines)
+    )
+
+
+def skill_tools(loader: SkillLoader) -> list:
+    def load_skill(name: str) -> dict:
+        """Load a skill's full instructions + resources path by name. Call this when a
+        skill from the catalog is relevant to the current task."""
+        skill = loader.get(name)
+        if skill is None:
+            return {"error": f"unknown skill: {name}", "available": loader.names()}
+        return {
+            "name": skill.name,
+            "instructions": skill.instructions,
+            "resources_path": skill.path,
+        }
+
+    return [
+        ai.tool(
+            load_skill,
+            metadata=ai.ToolMetadata(
+                category="skills", risk_level="low", capabilities=["load_skill"]
+            ),
+        )
+    ]