feat: Add new agents and skills for Docker, TestLink, and OpenWrt

- Introduced "Docker Build & Test Engineer" agent for building and testing Docker images.
- Added "TestLink Autotest Engineer" agent for generating and verifying autotests from TestLink cases.
- Created "Branch Review Engineer" agent for reviewing branch diffs and proposing improvements.
- Developed "OpenWrt VPN & Network Engineer" agent for designing and implementing OpenWrt networking with VPN.
- Established a structured directory for agents, skills, prompts, instructions, and hooks under `.github/`.
- Implemented detailed skills for branch review processes, including reading code, analyzing improvements, and applying changes.
- Added skills for OpenWrt network discovery, VPN routing, and hardening.
- Created README files for better documentation and navigation of the repository structure.
This commit is contained in:
ВяткинАртём
2026-04-08 09:47:18 +03:00
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---
name: branch-review-analyze
description: "Analyze the current branch for bugs, optimization opportunities, maintainability issues, and text problems after reading the diff and pyproject.toml. Use when: analyze branch review findings, think through improvements, classify code review issues, анализ ревью ветки, найти улучшения, подумать как улучшить код."
argument-hint: "Review packet or target area to analyze"
---
# Branch Review: Analyze Improvements
This skill turns raw branch context into defensible review findings.
## Analysis Rules
- Use `pyproject.toml` constraints as the default source of truth for Python version, linting, typing, formatting, and test behavior
- Prefer correctness over style-only comments
- Do not suggest changes that conflict with configured versions, strictness, or ignored rules
- Review both changed lines and immediate behavioral context
- Include spelling and wording issues when they affect docs, comments, user-facing text, tests, or developer clarity
## What to Look For
### Critical
- bugs, broken logic, wrong conditions, missing edge cases
- unsafe refactors and regressions introduced by the branch
- typing or API misuse that violates configured tooling or likely runtime behavior
- tests that no longer validate the actual behavior
### Important
- performance issues in hot paths
- duplicated logic introduced by the branch
- brittle or incomplete tests
- error handling gaps
- config mismatches against `pyproject.toml`
- maintainability problems that make the changed code harder to evolve
### Optional
- cleanup opportunities with low risk
- clearer naming
- smaller structure improvements
- modern idioms allowed by the configured Python version
### Text and Spelling
- typos in comments, docs, tests, log messages, exceptions, CLI output, and UI strings
- misleading wording or terminology inconsistencies
## Procedure
### Step 1 — Reconcile Diff with Config
For each changed Python-related file, compare the implementation against:
- effective Python version
- configured linter rules and ignores
- type-checking modes
- test config and markers
### Step 2 — Find Root Causes
Avoid surface comments. For each issue, identify:
- what changed
- why it is risky or suboptimal
- what the smallest correct improvement is
### Step 3 — Classify Findings
Produce findings in four groups:
- `Critical`
- `Important`
- `Optional`
- `Text and Spelling`
Each finding should contain:
- title
- affected file or scope
- reasoning
- concrete recommended change
- whether it is safe to auto-apply
### Step 4 — Note Validation Strategy
For every auto-applicable change, specify how it should be validated:
- targeted tests
- linter or type-check command
- smoke import or command run
- no validation available
## Output Template
```md
## Review Findings
### Critical
1. <title>
- scope: ...
- why: ...
- change: ...
- auto-apply: yes/no
- validate: ...
### Important
...
### Optional
...
### Text and Spelling
...
```
Do not edit files in this skill.