redis
This skill should be used when working with Redis — writing or reviewing redis-py client code, deciding what to cache and for how long, choosing a Redis data structure (string, hash, list, set, sorted set), setting cache keys/namespacing/TTLs, configuring connection pooling, using Redis for session storage, rate limiting, pub/sub, or debugging Redis timeouts/connection errors. Covers Redis and the redis-py Python client specifically, not Celery task design (see the celery skill for task semantics) — this skill is for Redis-the-datastore underneath it.
Works with
This skill's source license couldn't be confirmed as safe to mirror here, so it isn't inlined. View the full skill directly on its source repository.
View on GitHubMore Debugging skills
diagnosing-bugs
mattpocock/skills
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
explore-code
lllllllama/rigorpilot-skills
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head, or stitch together meaningful low-risk migration ideas with rollback-aware records in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline reproduction, conservative debugging, environment setup, verified contribution claims, or default repository analysis.
safe-debug
lllllllama/rigorpilot-skills
Rigor Debug / Rigor Audit skill for deep learning research work. Use when the user pastes a traceback, terminal error, CUDA OOM, checkpoint load failure, shape mismatch, NaN loss symptom, or training failure and wants conservative diagnosis before any patching, with debug fixes clearly separated from research contributions. Do not use for broad refactoring, speculative adaptation, automatic exploratory patching, or general repository familiarization.
