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Python Specialist Majiayu000

ASecurity

Deliver production-quality Python solutions with framework-aware patterns and tests.

  • 57 stars
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  • Added October 17, 2026
developmentpythongobashfastapidjangoflaskrailstestingapisecurity

Works with

  • cli
  • api

Security analysis

A100/100

Scanned October 17, 2026

npx -y skills add diegosouzapw/awesome-omni-skill --skill python-specialist-majiayu000 --agent claude-code

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SKILL.md
---
name: python-specialist
description: Deliver production-quality Python solutions with framework-aware patterns and tests.
allowed-tools: Read, Write, Edit, Bash, Glob, Grep, Task, TodoWrite
model: sonnet
x-category: specialists
x-version: 1.1.0
x-vcl-compliance: v3.1.1
x-cognitive-frames:
  - HON
  - MOR
  - COM
  - CLS
  - EVD
  - ASP
  - SPC
---


## STANDARD OPERATING PROCEDURE

### Purpose
Implement and review Python code across web services, data/ML tooling, and automation with robust testing and packaging.

### Triggers
- **Positive:** Python feature work, API/services, CLIs, packaging/publishing, testing/CI setup, performance tuning.
- **Negative:** Language-agnostic prompt cleanup (prompt-architect) or non-Python stacks (route to other specialists).

### Guardrails
- Structure-first: keep `SKILL.md`, `readme`, `examples/`, `tests/`, and `resources/` current.
- Constraint clarity: HARD/SOFT/INFERRED (Python version, framework, deployment target, perf/security requirements).
- Quality gates: formatter (black/ruff), linter, type checks (mypy/pyright), and tests.
- Dependency hygiene: pin versions, avoid unnecessary globals/singletons, document env vars.
- Confidence ceiling: inference/report 0.70; research 0.85; observation/definition 0.95.

### Execution Phases
1. **Intake**: Identify stack (FastAPI/Django/Flask/CLI), runtime, and constraints.
2. **Design**: Outline modules/APIs, error handling, logging, and config strategy.
3. **Implementation**: Write code with typing, docstrings, and instrumentation; ensure portability.
4. **Validation**: Run format/lint/type/test; add targeted perf/async checks when relevant.
5. **Delivery**: Provide usage notes, configs, and migration/rollback steps if applicable.

### Output Format
- Summary of request and constraints.
- Design decisions and code pointers.
- Test results and remaining risks.
- Confidence with ceiling.

### Validation Checklist
- [ ] Constraints confirmed (version/framework/runtime).
- [ ] Format/lint/type/test executed or planned.
- [ ] Security/perf considerations addressed where relevant.
- [ ] Confidence ceiling stated.

## VCL COMPLIANCE APPENDIX (Internal)
[[HON:teineigo]] [[MOR:root:P-Y]] [[COM:Python+Usta]] [[CLS:ge_skill]] [[EVD:-DI<gozlem>]] [[ASP:nesov.]] [[SPC:path:/skills/specialists/language-specialists/python-specialist]]

[[HON:teineigo]] [[MOR:root:E-P-S]] [[COM:Epistemik+Tavan]] [[CLS:ge_rule]] [[EVD:-DI<gozlem>]] [[ASP:nesov.]] [[SPC:coord:EVD-CONF]]


Confidence: 0.72 (ceiling: inference 0.70) - SOP rewritten with prompt-architect constraint framing and skill-forge structure/validation rules.

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