doppler-workflows
Manage credentials and secrets through Doppler for publishing and deployment workflows. Use whenever the user needs to publish Python packages.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/terrylica/cc-skills --skill doppler-workflows- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads doppler-workflows automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Doppler Credential Workflows
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
- Rotating AWS access keys
- Managing credentials across multiple services
- Troubleshooting authentication failures (403, InvalidClientTokenId)
- Setting up Doppler credential injection patterns
- Multi-token/multi-account strategies
Quick Reference
Core Pattern: Doppler CLI
Standard Usage:
doppler run --project <project> --config <config> --command='<command>'
Why --command flag:
- Official Doppler pattern (auto-detects shell)
- Ensures variables expand AFTER Doppler injects them
- Without it: shell expands
$VARbefore Doppler runs → empty string
Quick Start Examples
PyPI Publishing
doppler run --project private-config --config dev \
--command='uv publish --token "$PYPI_TOKEN"'
AWS Operations
doppler run --project aws-credentials --config dev \
--command='aws s3 ls --region $AWS_DEFAULT_REGION'
Best Practices
- Always use --command flag for credential injection
- Use project-scoped tokens (PyPI) for better security
- Rotate credentials regularly (90 days recommended)
- Document with Doppler notes:
doppler secrets notes set <SECRET> "<note>" - Use stdin for storing secrets:
echo -n 'secret' | doppler secrets set - Test injection before using:
echo ${#VAR}to verify length - Multi-token naming:
SERVICE_TOKEN_{ABBREV}for clarity
Reference Documentation
For detailed information, see:
- PyPI Publishing - Token setup, publishing, troubleshooting
- AWS Credentials - Rotation workflow, setup, troubleshooting
- Multi-Service Patterns - Multiple PyPI packages, multiple AWS accounts
- AWS Workflow - Complete AWS credential management guide
Bundled Specifications:
PYPI_REFERENCE.yaml- Complete PyPI specAWS_SPECIFICATION.yaml- AWS credential architecture
Local Development: Directory-Scoped Doppler Config
For local development, bind the project directory to its Doppler project/config once, then scope each command with doppler run:
cd ~/project && doppler setup --project private-config --config prd --no-interactive
doppler run -- COMMAND # secrets such as PYPI_TOKEN exist for this command only
For a value needed across several commands in one shell, export it explicitly: export PYPI_TOKEN="$(doppler secrets get PYPI_TOKEN --plain)".
Do NOT inject GitHub tokens this way (ADR 2026-06-21). GitHub multi-account auth is driven by the repo's
originhost-alias (git@github.com-<account>:…). A token resolves fresh per-repo via~/.claude/tools/bin/gh-token-for-repo; an ambientGH_TOKENoutranks the isolated gh profile and 401s after a rotation. The.secrets/gh-token-*files are deleted.
PyPI Publishing Policy
<!-- ADR: 2025-12-10-clickhouse-skill-documentation-gaps -->For PyPI publishing, see pypi-doppler skill for LOCAL-ONLY workspace policy.
Do NOT configure PyPI publishing in GitHub Actions or CI/CD pipelines.
Troubleshooting
| Issue | Cause | Solution |
|---|---|---|
| 403 on PyPI publish | Token expired or wrong scope | Regenerate project-scoped token, update in Doppler |
| InvalidClientTokenId (AWS) | Access key rotated or deleted | Run AWS key rotation workflow, update Doppler |
| Variable expands empty | Using $VAR without --command | Always use --command='...$VAR...' pattern |
| Doppler CLI not found | Not installed | brew install dopplerhq/cli/doppler |
| Wrong config selected | Ambiguous project/config | Specify both --project and --config explicitly |
| Wrong project picked up | Directory not bound or bound wrongly | doppler configure to inspect; re-run doppler setup |
| Secret retrieval slow | One doppler secrets get per call | Fetch once per shell with export VAR="$(doppler secrets get VAR --plain)" |
| Token length mismatch | Copied with extra whitespace | Trim token: echo -n 'secret' | doppler secrets set |
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.
FAQ
What does the doppler-workflows skill do?
Manage credentials and secrets through Doppler for publishing and deployment workflows. Use whenever the user needs to publish Python packages.
How do I install doppler-workflows?
Run npx skills add https://github.com/terrylica/cc-skills --skill doppler-workflows in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/doppler-workflows/ (personal) or .claude/skills/doppler-workflows/ (project).
Which AI agents can use doppler-workflows?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is doppler-workflows safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains doppler-workflows?
It is published by terrylica in terrylica/cc-skills. It has 128 recorded installs.
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