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feat: enable skills support for subagents

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Extract get_skills_prompt_section() from apply_prompt_template() so
subagents can also receive the available skills list in their system
prompt. This allows subagents to discover and load skills via read_file,
just like the lead agent.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
hetao
2026-02-11 11:04:50 +08:00
parent ebf4ec2786
commit 4a85c5de7b
2 changed files with 62 additions and 43 deletions
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70
backend/src/agents/lead_agent/prompt.py
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@@ -224,21 +224,7 @@ User: "staging"
You: "Deploying to staging..." [proceed]
</clarification_system>
<skill_system>
You have access to skills that provide optimized workflows for specific tasks. Each skill contains best practices, frameworks, and references to additional resources.
**Progressive Loading Pattern:**
1. When a user query matches a skill's use case, immediately call `read_file` on the skill's main file using the path attribute provided in the skill tag below
2. Read and understand the skill's workflow and instructions
3. The skill file contains references to external resources under the same folder
4. Load referenced resources only when needed during execution
5. Follow the skill's instructions precisely
**Skills are located at:** {skills_base_path}
{skills_list}
</skill_system>
{skills_section}
{subagent_section}
@@ -266,7 +252,10 @@ You have access to skills that provide optimized workflows for specific tasks. E
- Format: Use Markdown link format `[citation:TITLE](URL)`
- Example:
```markdown
The key AI trends for 2026 include enhanced reasoning capabilities and multimodal integration [citation:AI Trends 2026](https://techcrunch.com/ai-trends). Recent breakthroughs in language models have also accelerated progress [citation:OpenAI Research](https://openai.com/research).
The key AI trends for 2026 include enhanced reasoning capabilities and multimodal integration
[citation:AI Trends 2026](https://techcrunch.com/ai-trends).
Recent breakthroughs in language models have also accelerated progress
[citation:OpenAI Research](https://openai.com/research).
```
</citations>
@@ -313,29 +302,48 @@ def _get_memory_context() -> str:
return ""
def apply_prompt_template(subagent_enabled: bool = False) -> str:
# Load only enabled skills
def get_skills_prompt_section() -> str:
"""Generate the skills prompt section with available skills list.
Returns the <skill_system>...</skill_system> block listing all enabled skills,
suitable for injection into any agent's system prompt.
"""
skills = load_skills(enabled_only=True)
# Get config
try:
from src.config import get_app_config
config = get_app_config()
container_base_path = config.skills.container_path
except Exception:
# Fallback to defaults if config fails
container_base_path = "/mnt/skills"
# Generate skills list XML with paths (path points to SKILL.md file)
if skills:
skill_items = "\n".join(
f" <skill>\n <name>{skill.name}</name>\n <description>{skill.description}</description>\n <location>{skill.get_container_file_path(container_base_path)}</location>\n </skill>" for skill in skills
)
skills_list = f"<available_skills>\n{skill_items}\n</available_skills>"
else:
skills_list = "<!-- No skills available -->"
if not skills:
return ""
skill_items = "\n".join(
f" <skill>\n <name>{skill.name}</name>\n <description>{skill.description}</description>\n <location>{skill.get_container_file_path(container_base_path)}</location>\n </skill>" for skill in skills
)
skills_list = f"<available_skills>\n{skill_items}\n</available_skills>"
return f"""<skill_system>
You have access to skills that provide optimized workflows for specific tasks. Each skill contains best practices, frameworks, and references to additional resources.
**Progressive Loading Pattern:**
1. When a user query matches a skill's use case, immediately call `read_file` on the skill's main file using the path attribute provided in the skill tag below
2. Read and understand the skill's workflow and instructions
3. The skill file contains references to external resources under the same folder
4. Load referenced resources only when needed during execution
5. Follow the skill's instructions precisely
**Skills are located at:** {container_base_path}
{skills_list}
</skill_system>"""
def apply_prompt_template(subagent_enabled: bool = False) -> str:
# Get memory context
memory_context = _get_memory_context()
@@ -360,10 +368,12 @@ def apply_prompt_template(subagent_enabled: bool = False) -> str:
else ""
)
# Get skills section
skills_section = get_skills_prompt_section()
# Format the prompt with dynamic skills and memory
prompt = SYSTEM_PROMPT_TEMPLATE.format(
skills_list=skills_list,
skills_base_path=container_base_path,
skills_section=skills_section,
memory_context=memory_context,
subagent_section=subagent_section,
subagent_reminder=subagent_reminder,