Add RedisVL Python skill to redis/agent-skills
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Python
- Stars
- 427
- Forks
- 101
- Avg merge
- 6d 3h
- Merged PRs (30d)
- 20
Description
Summary
Add a RedisVL Python skill package to Redis' official agent-skills repository.
Level: Intermediate
Current State
- Redis maintains an official agent-skills repo, but no RedisVL-specific Python skill exists yet.
- RedisVL usage patterns are repeated in docs/issues and are good candidates for reusable agent guidance.
Proposed Change
- Add a RedisVL Python skill package in
redis/agent-skills:- schema design and validation guidance
- query composition patterns (vector/filter/hybrid)
- sync/async usage conventions
- safe index lifecycle and operational patterns
- troubleshooting playbook
- Include concise, copyable examples aligned with current RedisVL best practices.
Definition of Done
- New RedisVL skill is committed and documented in
redis/agent-skills. - Skill includes practical patterns/snippets (at least 8).
- Skill passes that repo's validation/build workflow.
Out of Scope
- Building a new plugin framework or changing existing skill packaging design.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Review the existing skill packaging and validation/build workflow in redis/agent-skills first. Then organize the requested RedisVL guidance into a documented skill with at least eight practical patterns covering schemas, queries, sync/async usage, index operations, and troubleshooting; completion means it is committed, documented, and passes that repository's validation workflow.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, redis
- Domain
- ai, documentation
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100