Default skills, custom skills, and managing learning spaces
| Skill | What it captures |
|---|---|
| daily-logs | Daily activity summaries — one file per day |
| user-general-facts | User preferences and facts — one file per topic |
Example: daily-logs output
# 2025-06-15
## Deploy API v2 to staging
- **Outcome**: success
- **Summary**: Blue-green deploy completed, zero downtime
- **Key Decisions**: Ran DB migration before switching traffic
- **Learnings**: Set health-check timeout to 30s, not 10s
## Roll back staging after test failure
- **Outcome**: failed
- **Summary**: Rollback script timed out on large DB
- **Key Decisions**: Attempted manual rollback
- **Learnings**: Add rollback timeout flag, pre-test with smaller dataset
Example: user-general-facts output
# Personal Info
- username: gus
SKILL.md.
skill = client.skills.create(file=FileUpload(...))
client.learning_spaces.include_skill(space.id, skill_id=skill.id)
# Remove a skill (idempotent)
client.learning_spaces.exclude_skill(space.id, skill_id="skill-uuid")
# List, filter, paginate
spaces = client.learning_spaces.list(user="alice@example.com", limit=10)
# Filter by meta
spaces = client.learning_spaces.list(filter_by_meta={"domain": "deployments"})
# Update meta
client.learning_spaces.update(space.id, meta={"version": "2.0"})
# Delete (skills and sessions are NOT deleted)
client.learning_spaces.delete(space.id)