AgentStack
Browse Sign in
Browse Why AgentStack Sell Docs
Sign in
SKILL verified MIT Self-run

Python Expert

skill-josephsanjaya-skills-python-expert · by JosephSanjaya

Expert Python development guidelines covering Astral tooling (uv, ruff, ty), structured concurrency (TaskGroup, ExceptionGroup), high-performance serialization (msgspec, Pydantic v2), memory optimization, and no-GIL architecture. Trigger this skill whenever the user mentions Python libraries, writing Python scripts, optimizing Python code, debugging async or threading issues, configuring pyprojec…

No reviews yet
0 installs
33 views
0.0% view→install

Install

$ agentstack add skill-josephsanjaya-skills-python-expert

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-josephsanjaya-skills-python-expert)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
Are you the author of Python Expert? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

Python Expert Skill

Core guidelines for modern (2025/2026) high-performance Python development.

Use progressive disclosure: consult specific reference files for details. Maintain strict token efficiency. Code should be clean, type-safe, and free of conversational fluff.

1. Quick Decision Matrix

| Task / Domain | Action / Tool | Details | | :--- | :--- | :--- | | Tooling & Env | uv, ruff, ty | Consult [tooling-env.md](file:///Users/jsanjaya/.gemini/config/skills/python-expert/references/tooling-env.md) | | Concurrency | TaskGroup, except*, anyio | Consult [concurrency.md](file:///Users/jsanjaya/.gemini/config/skills/python-expert/references/concurrency.md) | | Serialization | msgspec, Pydantic v2 | Consult [serialization.md](file:///Users/jsanjaya/.gemini/config/skills/python-expert/references/serialization.md) | | Clean Code | PEP 695 generics, Protocols, matching | Consult [clean-code.md](file:///Users/jsanjaya/.gemini/config/skills/python-expert/references/clean-code.md) | | Profiling & Perf | py-spy, scalene, memray, __slots__ | Consult [profiling.md](file:///Users/jsanjaya/.gemini/config/skills/python-expert/references/profiling.md) |

2. Directory Structure

All detailed reference materials and examples are partitioned into subdirectories:

  • References:
  • [tooling-env.md](file:///Users/jsanjaya/.gemini/config/skills/python-expert/references/tooling-env.md) — Universal environment setups, lockfiles, and ruff settings.
  • [concurrency.md](file:///Users/jsanjaya/.gemini/config/skills/python-expert/references/concurrency.md) — Structured concurrency, async timeouts, and free-threaded execution.
  • [serialization.md](file:///Users/jsanjaya/.gemini/config/skills/python-expert/references/serialization.md) — Comparison of Pydantic v2 and msgspec, including custom validation.
  • [clean-code.md](file:///Users/jsanjaya/.gemini/config/skills/python-expert/references/clean-code.md) — Generic syntax, structural pattern matching, and ABC vs Protocol.
  • [profiling.md](file:///Users/jsanjaya/.gemini/config/skills/python-expert/references/profiling.md) — Profiler usage, garbage collector tuning, and memory optimization.
  • Samples:
  • [pydanticv2.py](file:///Users/jsanjaya/.gemini/config/skills/python-expert/samples/pydanticv2.py) — Annotated model code.
  • [asynctaskgroup.py](file:///Users/jsanjaya/.gemini/config/skills/python-expert/samples/asynctaskgroup.py) — TaskGroup error propagation.
  • [msgspecserialization.py](file:///Users/jsanjaya/.gemini/config/skills/python-expert/samples/msgspecserialization.py) — High-throughput JSON deserializer.

Always read the specific file containing the details required for the task.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet, be the first.

Versions

  • v0.1.0 Imported from the upstream source.