python-deploy
- Repo stars 0
- Author updated Live
- Author repo skills-registry
- Domain
- DevOps
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 88 / 100 · community maintained
- Author / version / license
- @tomevault-io · no license declared
- Token usage
- Lean
- Setup complexity
- Plug-and-play
- External API key
- Not required
- Operating systems
- Unspecified (assume cross-platform)
- Runtime requirements
- Python
- Permissions
-
- Read-only
- Write / modify
- Network behavior
- Local-only
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: python-deploy
description: Deploy a Python project to the target environment. Runs pytest, builds the wheel, and pushes a d…
category: devops
runtime: Python
---
# python-deploy output preview
## PART A: Task fit
- Use case: Deploy a Python project to the target environment. Runs pytest, builds the wheel, and pushes a deployment tag. Only invoke manually when ready to deploy. Use when this capability is needed..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Pre-flight checks / Step 1: Abort if there are uncommitted changes / Step 2: Run the test suite” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Deploy a Python project to the target environment. Runs pytest, builds the wheel, and pushes a deployment tag. Only invoke manually when ready to deploy. Use when this capability is needed.”.
- **02** When the source has headings, the agent prioritizes “Pre-flight checks / Step 1: Abort if there are uncommitted changes / Step 2: Run the test suite” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. The source mentions slash commands such as `/python-deploy`; use them first when your agent supports command triggers.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files.
Start with a small task and check whether the result follows “Pre-flight checks / Step 1: Abort if there are uncommitted changes / Step 2: Run the test suite”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: python-deploy
description: Deploy a Python project to the target environment. Runs pytest, builds the wheel, and pushes a d…
category: devops
source: tomevault-io/skills-registry
---
# python-deploy
## When to use
- Deploy a Python project to the target environment. Runs pytest, builds the wheel, and pushes a deployment tag. Only in…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Pre-flight checks / Step 1: Abort if there are uncommitted changes / Step 2: Run the test suite” and keep inference separate from source facts.
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "python-deploy" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Pre-flight checks / Step 1: Abort if there are uncommitted changes / Step 2: Run the test suite
rules -> SKILL.md triggers / order / output contract
runtime -> Python | read files, write/modify files | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} Pre-flight checks
!git status --short
!git log --oneline -5
Deploy to: $ARGUMENTS
If $ARGUMENTS is empty, stop immediately. Report: "No environment specified. Invoke as: /python-deploy
Step 1: Abort if there are uncommitted changes
Check the git status output above. If it shows any lines (modified, untracked, staged, or deleted files), stop here.
Report: "Deploy aborted: there are uncommitted changes. Commit or stash them before deploying to $ARGUMENTS."
A clean working tree shows no output from git status --short. Do not proceed unless the output is empty.
Step 2: Run the test suite
Run:
python -m pytest
If any tests fail, report the failing test names and count, then stop. Do not proceed.
If pytest is not installed, try:
python -m unittest discover
If neither is available, report that no test runner was found and stop. Do not deploy without running tests.
Step 3: Build the distribution package
Run:
python -m build
This requires the build package. If it is not installed, run:
pip install build
Then retry python -m build.
If the build fails, report the error output and stop.
On success, confirm the output: the dist/ directory should contain a .whl and a .tar.gz file.
Step 4: Create a deployment tag
Construct the tag name:
deploy-$ARGUMENTS-<YYYYMMDD>-<HHMMSS>
Use current UTC date and time. Example: deploy-staging-20260513-143207.
Run:
git tag deploy-$ARGUMENTS-<YYYYMMDD>-<HHMMSS>
Step 5: Push the tag
Run:
git push origin deploy-$ARGUMENTS-<YYYYMMDD>-<HHMMSS>
If the push fails, report the error and stop.
Step 6: Report success
Print a final summary:
Deploy initiated.
Environment: $ARGUMENTS
Tag: deploy-$ARGUMENTS-<YYYYMMDD>-<HHMMSS>
Time: <YYYY-MM-DD HH:MM:SS UTC>
Build artifacts: dist/
Source: davila7/claude-with-skills — distributed by TomeVault.
Decide Fit First
Design Intent
How To Use It
Boundaries And Review