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feat(agent-runner): expose skill resources through host context

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huanghuoguoguo
2026-06-07 12:48:06 +08:00
committed by huanghuoguoguo
parent a6a90f7d1b
commit 54bba1a1f5
20 changed files with 463 additions and 193 deletions
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src/langbot/pkg/provider/tools/loaders/skill_authoring.py
+7 -54
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@@ -82,17 +82,17 @@ class SkillToolLoader(loader.ToolLoader):
if not skill_name:
raise ValueError('skill_name is required')
skill_mgr = self.ap.skill_mgr
skill_data = skill_mgr.get_skill_by_name(skill_name)
from . import skill as skill_loader
skill_data = skill_loader.get_visible_skill(self.ap, query, skill_name)
if skill_data is None:
visible_skills = getattr(skill_mgr, 'skills', {})
visible_skills = skill_loader.get_visible_skills(self.ap, query)
available_names = ', '.join(sorted(visible_skills.keys())) or 'none'
raise ValueError(f'Skill "{skill_name}" not found. Available skills: {available_names}')
# Register activated skill for sandbox mount path resolution
from . import skill as skill_loader
skill_loader.register_activated_skill(query, skill_data)
await skill_loader.persist_activated_skill(self.ap, query, skill_name)
# Return SKILL.md content as Tool Result (injects into context)
instructions = skill_data.get('instructions', '')
@@ -191,13 +191,13 @@ class SkillToolLoader(loader.ToolLoader):
return resource_tool.LLMTool(
name=ACTIVATE_SKILL_TOOL_NAME,
human_desc='Activate a skill',
description=self._build_activate_tool_description(),
description='Activate a pipeline-visible skill by name and return its instructions as a tool result.',
parameters={
'type': 'object',
'properties': {
'skill_name': {
'type': 'string',
'description': 'The skill name to activate (no arguments). E.g., "pdf" or "data-analysis"',
'description': 'The skill name to activate.',
},
},
'required': ['skill_name'],
@@ -245,50 +245,3 @@ class SkillToolLoader(loader.ToolLoader):
},
func=lambda parameters: parameters,
)
def _build_activate_tool_description(self) -> str:
"""Build tool description with embedded available_skills list."""
skill_mgr = getattr(self.ap, 'skill_mgr', None)
if skill_mgr is None:
return 'Activate a skill. No skills are currently available.'
skills = getattr(skill_mgr, 'skills', {})
if not skills:
return 'Activate a skill. No skills are currently available.'
# Build <available_skills> section
available_skills_lines = ['<available_skills>']
for skill_name, skill_data in sorted(skills.items()):
description = skill_data.get('description', '')
available_skills_lines.append('<skill>')
available_skills_lines.append(f'<name>{skill_name}</name>')
available_skills_lines.append(f'<description>{description}</description>')
available_skills_lines.append('</skill>')
available_skills_lines.append('</available_skills>')
available_skills_block = '\n'.join(available_skills_lines)
return f"""Activate a skill within the main conversation.
<skills_instructions>
When users ask you to perform tasks, check if any of the available skills
below can help complete the task more effectively. Skills provide specialized
capabilities and domain knowledge.
How to use skills:
- Invoke skills using this tool with the skill name only (no arguments)
- When you invoke a skill, you will see <command-message>
The skill is activated
</command-message>
- The skill's instructions will be provided in the tool result
- Examples:
- skill_name: "pdf" - invoke the pdf skill
- skill_name: "data-analysis" - invoke the data-analysis skill
Important:
- Only use skills listed in <available_skills> below
- Do not invoke a skill that is already running
- To create a new skill: prepare it in /workspace, then use register_skill tool
</skills_instructions>
{available_skills_block}"""