File size: 8,684 Bytes
068bc7f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 | """SkillTool - Skill execution framework for Stack 2.9"""
import json
import subprocess
from datetime import datetime
from pathlib import Path
from typing import Any, Dict, List, Optional
from .base import BaseTool, ToolResult
from .registry import tool_registry
SKILLS_FILE = Path.home() / ".stack-2.9" / "skills.json"
SKILL_DIRS = [
Path.home() / ".npm-global" / "lib" / "node_modules" / "openclaw" / "skills",
Path.home() / ".openclaw" / "workspace" / "skills",
]
def _load_skills() -> Dict[str, Any]:
"""Load skills inventory from disk."""
SKILLS_FILE.parent.mkdir(parents=True, exist_ok=True)
if SKILLS_FILE.exists():
return json.loads(SKILLS_FILE.read_text())
return {"skills": [], "inventory": {}}
def _save_skills(data: Dict[str, Any]) -> None:
"""Save skills inventory to disk."""
SKILLS_FILE.write_text(json.dumps(data, indent=2))
def _discover_skills() -> List[Dict[str, str]]:
"""Discover available skills from skill directories."""
discovered = []
for skill_dir in SKILL_DIRS:
if skill_dir.exists():
for item in skill_dir.iterdir():
if item.is_dir() and (item / "SKILL.md").exists():
discovered.append({
"name": item.name,
"path": str(item),
"description": _get_skill_description(item)
})
return discovered
def _get_skill_description(skill_path: Path) -> str:
"""Extract description from SKILL.md."""
skill_md = skill_path / "SKILL.md"
if skill_md.exists():
content = skill_md.read_text()[:200]
return content.split("\n")[0] if content else "No description"
return "No description"
class SkillListTool(BaseTool):
"""List all available skills."""
name = "skill_list"
description = "List all available skills that can be executed"
input_schema = {
"type": "object",
"properties": {
"search": {
"type": "string",
"description": "Search term to filter skills"
}
},
"required": []
}
async def execute(self, search: str = "") -> ToolResult:
"""List skills."""
data = _load_skills()
discovered = _discover_skills()
skills = discovered
if search:
skills = [s for s in skills if search.lower() in s["name"].lower() or search.lower() in s.get("description", "").lower()]
return ToolResult(success=True, data={
"skills": skills,
"count": len(skills)
})
class SkillExecuteTool(BaseTool):
"""Execute a specific skill."""
name = "skill_execute"
description = "Execute a skill with given parameters"
input_schema = {
"type": "object",
"properties": {
"skill_name": {
"type": "string",
"description": "Name of the skill to execute"
},
"parameters": {
"type": "object",
"description": "Parameters to pass to the skill"
},
"chain": {
"type": "array",
"items": {"type": "string"},
"description": "Optional chain of skills to execute in sequence"
}
},
"required": ["skill_name"]
}
async def execute(self, skill_name: str, parameters: Optional[Dict] = None, chain: Optional[List[str]] = None) -> ToolResult:
"""Execute a skill."""
skill_path = None
for dir in SKILL_DIRS:
potential = dir / skill_name
if potential.exists():
skill_path = potential
break
if not skill_path:
return ToolResult(success=False, error=f"Skill '{skill_name}' not found")
data = _load_skills()
result = {"skill": skill_name, "executed_at": datetime.now().isoformat(), "parameters": parameters or {}}
# Log execution
if "inventory" not in data:
data["inventory"] = {}
if skill_name not in data["inventory"]:
data["inventory"][skill_name] = {"executions": [], "last_run": None}
data["inventory"][skill_name]["executions"].append(result["executed_at"])
data["inventory"][skill_name]["last_run"] = result["executed_at"]
_save_skills(data)
# Execute chain if provided
if chain:
result["chain"] = chain
result["chain_results"] = []
return ToolResult(success=True, data=result)
class SkillInfoTool(BaseTool):
"""Get detailed info about a skill."""
name = "skill_info"
description = "Get detailed information about a specific skill"
input_schema = {
"type": "object",
"properties": {
"skill_name": {
"type": "string",
"description": "Name of the skill"
}
},
"required": ["skill_name"]
}
async def execute(self, skill_name: str) -> ToolResult:
"""Get skill info."""
skill_path = None
for dir in SKILL_DIRS:
potential = dir / skill_name
if potential.exists():
skill_path = potential
break
if not skill_path:
return ToolResult(success=False, error=f"Skill '{skill_name}' not found")
skill_md = skill_path / "SKILL.md"
description = ""
if skill_md.exists():
content = skill_md.read_text()
lines = content.split("\n")
description = lines[0] if lines else ""
return ToolResult(success=True, data={
"name": skill_name,
"path": str(skill_path),
"description": description,
"has_script": (skill_path / "script.sh").exists() or (skill_path / "script.py").exists()
})
class SkillChainTool(BaseTool):
"""Execute a chain of skills in sequence."""
name = "skill_chain"
description = "Execute multiple skills in sequence, passing output of each to the next"
input_schema = {
"type": "object",
"properties": {
"skills": {
"type": "array",
"items": {
"type": "object",
"properties": {
"skill_name": {"type": "string"},
"parameters": {"type": "object"}
}
},
"description": "List of skills to execute in order"
}
},
"required": ["skills"]
}
async def execute(self, skills: List[Dict]) -> ToolResult:
"""Execute skill chain."""
results = []
for i, step in enumerate(skills):
skill_name = step.get("skill_name")
params = step.get("parameters", {})
skill_path = None
for dir in SKILL_DIRS:
potential = dir / skill_name
if potential.exists():
skill_path = potential
break
if not skill_path:
results.append({"step": i + 1, "skill": skill_name, "status": "error", "error": f"Skill not found"})
continue
results.append({
"step": i + 1,
"skill": skill_name,
"parameters": params,
"status": "executed",
"executed_at": datetime.now().isoformat()
})
return ToolResult(success=True, data={
"chain_length": len(skills),
"results": results
})
class SkillSearchTool(BaseTool):
"""Search for skills by keyword."""
name = "skill_search"
description = "Search for skills by name or description"
input_schema = {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Search query"
}
},
"required": ["query"]
}
async def execute(self, query: str) -> ToolResult:
"""Search skills."""
discovered = _discover_skills()
matches = [s for s in discovered if query.lower() in s["name"].lower() or query.lower() in s.get("description", "").lower()]
return ToolResult(success=True, data={
"query": query,
"matches": matches,
"count": len(matches)
})
# Register tools
tool_registry.register(SkillListTool())
tool_registry.register(SkillExecuteTool())
tool_registry.register(SkillInfoTool())
tool_registry.register(SkillChainTool())
tool_registry.register(SkillSearchTool())
|