| name | pypi-doppler |
| description | LOCAL-ONLY PyPI publishing with Doppler credentials. TRIGGERS - publish to PyPI, pypi upload, local publish. NEVER use in CI/CD. |
| allowed-tools | Bash, Read |
PyPI Publishing with Doppler (Local-Only)
Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.
When to Use This Skill
Use this skill when:
- Publishing Python packages to PyPI from local machine
- Setting up Doppler for PyPI token management
- Creating local publish scripts with CI detection guards
- Validating repository ownership before release
WORKSPACE-WIDE POLICY: LOCAL-ONLY PUBLISHING
This skill supports LOCAL machine publishing ONLY.
FORBIDDEN
- Publishing from GitHub Actions
- Publishing from any CI/CD pipeline (GitHub Actions, GitLab CI, Jenkins, CircleCI)
publishCmd in semantic-release configuration
- Building packages in CI (
uv build in prepareCmd)
- Storing PyPI tokens in GitHub secrets
REQUIRED
- Use
scripts/publish-to-pypi.sh on local machine
- CI detection guards in publish script
- Manual approval before each release
- Doppler credential management (no plaintext tokens)
- Repository verification (prevents fork abuse)
Rationale
- Security: No long-lived PyPI tokens in GitHub secrets
- Speed: 30 seconds locally vs 3-5 minutes in CI
- Control: Manual approval step before production release
- Flexibility: Centralized credential management via Doppler
See: ADR-0027, docs/development/PUBLISHING.md
Overview
This skill provides local-only PyPI publishing using Doppler for secure credential management. It integrates with the workspace-wide release workflow where:
- GitHub Actions: Automated versioning ONLY (tags, releases, CHANGELOG)
- Local Machine: Manual PyPI publishing with Doppler credentials
Bundled Scripts
Usage: Copy to your project's scripts/ directory:
/usr/bin/env bash << 'DOPPLER_EOF'
PLUGIN_DIR="$(cc-plugin-root itp)"
cp "$PLUGIN_DIR/skills/pypi-doppler/scripts/publish-to-pypi.sh" scripts/
chmod +x scripts/publish-to-pypi.sh
DOPPLER_EOF
Prerequisites
One-Time Setup
-
Install Doppler CLI:
brew install dopplerhq/cli/doppler
-
Authenticate with Doppler:
doppler login
-
Verify access to claude-config project:
doppler whoami
doppler projects
PyPI Token Setup
-
Create PyPI API token:
- Visit: https://pypi.org/manage/account/token/
- Enable 2FA if not already enabled (required since 2024)
- Create token with scope: "Entire account" or specific project
- Copy token (starts with
pypi-AgEIcHlwaS5vcmc..., ~180 characters)
-
Store token in Doppler:
doppler secrets set PYPI_TOKEN='pypi-AgEIcHlwaS5vcmc...' \
--project claude-config \
--config prd
-
Verify token stored:
doppler secrets get PYPI_TOKEN \
--project claude-config \
--config prd \
--plain
Publishing Workflow
MANDATORY: Verify Version Increment Before Publishing
Pre-publish validation: Before publishing to PyPI, verify that the version has incremented from the previous release. Publishing without a version increment is invalid and wastes resources.
Autonomous check sequence:
- Compare local
pyproject.toml version against latest PyPI version
- If versions match -- STOP - do not proceed with publishing
- Inform user: "Version not incremented. Run semantic-release first or verify commits include
feat: or fix: types."
Complete Release Workflow
Step 1: Development & Commit (Conventional Commits):
git add .
git commit -m "feat: add new feature"
git push origin main
Step 2: Automated Versioning (GitHub Actions - 40-60s):
GitHub Actions automatically: analyzes commits, determines next version, updates pyproject.toml/package.json, generates CHANGELOG, creates git tag, creates GitHub release.
PyPI publishing does NOT happen here (by design - see ADR-0027).
Step 3: Local PyPI Publishing (30 seconds):
git pull origin main
./scripts/publish-to-pypi.sh
Using Bundled Script (Recommended)
/usr/bin/env bash << 'GIT_EOF'
PLUGIN_DIR="$(cc-plugin-root itp)"
cp "$PLUGIN_DIR/skills/pypi-doppler/scripts/publish-to-pypi.sh" scripts/
chmod +x scripts/publish-to-pypi.sh
git pull origin main
./scripts/publish-to-pypi.sh
GIT_EOF
Bundled script features: CI detection guards, repository verification, Doppler integration, build + publish + verify workflow, clear error messages.
Manual Publishing (Advanced)
For manual publishing without the canonical script:
/usr/bin/env bash << 'CONFIG_EOF'
PYPI_TOKEN=$(doppler secrets get PYPI_TOKEN \
--project claude-config \
--config prd \
--plain)
uv build
UV_PUBLISH_TOKEN="${PYPI_TOKEN}" uv publish
CONFIG_EOF
WARNING: Manual publishing bypasses CI detection guards and repository verification. Use canonical script unless you have a specific reason not to.
Reference Documentation
Related Documentation
- ADR-0027:
docs/architecture/decisions/0027-local-only-pypi-publishing.md - Architectural decision for local-only publishing
- ADR-0028:
docs/architecture/decisions/0028-skills-documentation-alignment.md - Skills alignment with ADR-0027
- PUBLISHING.md:
docs/development/PUBLISHING.md - Complete release workflow guide
- mise-tasks Skill:
mise-tasks - Task orchestration with dependency management
- Release Workflow Patterns:
release-workflow-patterns.md - DAG patterns and anti-patterns
- Bundled Script:
scripts/publish-to-pypi.sh - Reference implementation with CI guards
Validation History
- 2025-12-03: Refactored to discovery-first, environment-agnostic approach
discover_uv() checks PATH, direct installs, version managers (priority order)
- Supports: curl install, Homebrew, cargo, mise, asdf - doesn't force any method
- 2025-11-22: Created with ADR-0027 alignment (workspace-wide local-only policy)
- Validation: CI detection guards tested, Doppler integration verified
Last Updated: 2025-12-03
Policy: Workspace-wide local-only PyPI publishing (ADR-0027)
Supersedes: None (created with ADR-0027 compliance from start)
Post-Execution Reflection
After this skill completes, check before closing:
- Did the command succeed? — If not, fix the instruction or error table that caused the failure.
- Did parameters or output change? — If the underlying tool's interface drifted, update Usage examples and Parameters table to match.
- Was a workaround needed? — If you had to improvise (different flags, extra steps), update this SKILL.md so the next invocation doesn't need the same workaround.
Only update if the issue is real and reproducible — not speculative.