feat: introduce skills management features in AIAgent and CLI

- Added skills configuration options in cli-config.yaml.example, including a nudge interval for skill creation reminders.
- Implemented skills guidance in AIAgent to prompt users to save reusable workflows after complex tasks.
- Enhanced skills indexing in the prompt builder to include descriptions from SKILL.md files for better context.
- Updated the agent's behavior to periodically remind users about potential skills during tool-calling iterations.
This commit is contained in:
teknium1 2026-02-22 13:28:13 -08:00
parent 3c6750f37b
commit db23f51bc6
4 changed files with 112 additions and 10 deletions

View file

@ -590,6 +590,35 @@ class GatewayRunner:
session_key = f"agent:main:{source.platform.value}:" + \
(f"dm" if source.chat_type == "dm" else f"{source.chat_type}:{source.chat_id}")
# Memory flush before reset: load the old transcript and let a
# temporary agent save memories before the session is wiped.
try:
old_entry = self.session_store._sessions.get(session_key)
if old_entry:
old_history = self.session_store.load_transcript(old_entry.session_id)
if old_history:
from run_agent import AIAgent
loop = asyncio.get_event_loop()
def _do_flush():
tmp_agent = AIAgent(
model=os.getenv("HERMES_MODEL", "anthropic/claude-opus-4.6"),
max_iterations=5,
quiet_mode=True,
enabled_toolsets=["memory"],
session_id=old_entry.session_id,
)
# Build simple message list from transcript
msgs = []
for m in old_history:
role = m.get("role")
content = m.get("content")
if role in ("user", "assistant") and content:
msgs.append({"role": role, "content": content})
tmp_agent.flush_memories(msgs)
await loop.run_in_executor(None, _do_flush)
except Exception as e:
logger.debug("Gateway memory flush on reset failed: %s", e)
# Reset the session
new_entry = self.session_store.reset_session(session_key)