Use this skill as planning or review guidance; verify generated commands, code, configuration, and infrastructure changes before running them., Apply least-privilege credentials and test in staging or a disposable branch before using it on production systems, CI, deployment, or account-write workflows.
Privacy notes
Inputs can include source files, prompts, logs, account metadata, repository details, and operational context that may be sent to the configured AI model., Redact secrets, customer data, private URLs, credentials, and proprietary implementation details before sharing prompts, reports, or generated artifacts.
Current risk score 0/100. Use staged verification before broader rollout.
Risk 0
Pre-adoption checks
Validate source and review signals before any execution.
Confirm source provenanceRequired
Source URL/provenance metadata is present.
Done
Confirm metadata review state
Listing has review metadata.
Done
Verify install payload
Install/config payload exists and can be inspected.
Done
Security checks
Confirm safety, privacy, and package integrity signals.
Review safety notesRequired
Safety notes are present.
Done
Review privacy notesRequired
Privacy notes are present.
Done
Verify package integrity metadata
Package verification/checksum metadata is available.
Done
Rollout
Adopt in controlled steps based on the selected plan.
Run in isolated sandbox firstRequired
Use a constrained sandbox and observe behavior across multiple tasks.
Pending
Roll out graduallyRequired
Roll out to a small cohort before wider usage.
Pending
Set monitoring and fallback
Define rollback path and monitor errors after adoption.
Pending
Evidence readiness
Evidence readiness matrix · balanced
Required evidence gates are covered (6/6 signals complete).
Risk 0
Source provenance
Present
Source repository/provenance is listed.
Required in this preset
Metadata review
Present
Review metadata is present.
Required in this preset
Safety notes
Present
Safety notes are present.
Required in this preset
Privacy notes
Present
Privacy notes are present.
Optional in this preset
Package integrity
Present
Package integrity metadata is present.
Optional in this preset
Install payload
Present
Install payload is available.
Required in this preset
Required evidence gates are covered for this preset.
Decision timeline
Decision timeline · balanced
6/6 steps complete with no blocking gaps for this preset.
Risk 0
triage
Confirm source provenanceRequired
Source/provenance metadata is available.
Done
triage
Check metadata review statusRequired
Review metadata is available.
Done
verify
Review safety notesRequired
Safety notes are available.
Done
verify
Review privacy notes
Privacy notes are available.
Done
verify
Validate package integrity metadata
Package integrity metadata is available.
Done
rollout
Verify install payload and commandsRequired
Install payload is available.
Done
No required blockers for this timeline preset.
Prerequisite readiness
Prerequisite readiness
3 prerequisites to line up before setup.
0/3 ready
Network & hosting1General2
Safety & privacy surface
Safety & privacy surface
2 safety and 2 privacy notes across 3 risk areas. Review closely: credentials & tokens, third-party handling.
3 areas
SafetyExecution & processesUse this skill as planning or review guidance; verify generated commands, code, configuration, and infrastructure changes before running them.
SafetyCredentials & tokensApply least-privilege credentials and test in staging or a disposable branch before using it on production systems, CI, deployment, or account-write workflows.
PrivacyThird-party handlingInputs can include source files, prompts, logs, account metadata, repository details, and operational context that may be sent to the configured AI model.
PrivacyCredentials & tokensRedact secrets, customer data, private URLs, credentials, and proprietary implementation details before sharing prompts, reports, or generated artifacts.
Safety notes
Use this skill as planning or review guidance; verify generated commands, code, configuration, and infrastructure changes before running them.
Apply least-privilege credentials and test in staging or a disposable branch before using it on production systems, CI, deployment, or account-write workflows.
Privacy notes
Inputs can include source files, prompts, logs, account metadata, repository details, and operational context that may be sent to the configured AI model.
Redact secrets, customer data, private URLs, credentials, and proprietary implementation details before sharing prompts, reports, or generated artifacts.
Prerequisites
Service inventory and dependency map
Runtime constraints (CPU, memory, storage, ports)
Existing Compose file or desired target architecture
.gemini/skills/<skill-name>/SKILL.md or .agents/skills/<skill-name>/SKILL.md
cursor
Adapter
.cursor/rules/<skill-name>.mdc
cli
Manual
AGENTS.md or tool-specific context file
Full copyable content
# Trigger
"Apply the Docker Compose production blueprints skill to this stack."
# Required output
1) Compose service topology
2) Security and secret handling plan
3) Healthcheck and startup dependency map
4) Update/rollback procedure
About this resource
Overview
This skill provides consistent production patterns for Docker Compose stacks. It helps AI agents avoid common anti-patterns and produce deployment configs that are safer to run and easier to maintain.
Compatibility
Native
Claude Code / Claude: native skill usage via SKILL.md.
Codex/OpenAI workflows: compatible with Agent Skills-style SKILL.md content as reusable workflow instructions.
Manual Adaptation
Gemini CLI: native skill usage via .gemini/skills/<skill-name>/SKILL.md or .agents/skills/<skill-name>/SKILL.md where supported.
Cursor: use the generated .cursor/rules/*.mdc adapter for project rules.
OpenClaw and similar agents: use the same skill content as a reusable prompt/workflow file when native skill import is unavailable.
Prerequisites
Clear service boundaries and ownership
Persistent data strategy
Operational SLO targets
What This Skill Delivers
Compose architecture with profile-aware services
Network and privilege minimization guidance
Healthchecks, restart policy, and dependency sequencing
Safe change rollout and rollback checklist
How to Use This Skill
Model service topology and stateful dependencies.
Define secret strategy and avoid plaintext in repo.
Add healthchecks and startup ordering guards.
Constrain network exposure and privileges.
Validate with restart, failover, and upgrade simulations.
Troubleshooting
Issue: Services start but fail shortly after Fix: Add robust healthchecks and delay dependent services until healthy.
Issue: Compose changes break unrelated services Fix: Use profiles and explicit dependency contracts to scope blast radius.
Issue: Secrets leak into logs or env dumps Fix: Move sensitive values to secrets manager or runtime-injected env.
Knowledge Freshness
Treat tooling details as time-sensitive. Re-validate APIs, limits, pricing, auth models, and deployment flags immediately before implementation. If docs conflict with prior memory, follow current official docs and release notes.
Show that Docker Compose Production Blueprints Skill is listed on HeyClaude. Paste this Markdown into your README — it renders the badge and links back to this page.
[](https://heyclau.de/entry/skills/docker-compose-production-blueprints)
How it compares
Docker Compose Production Blueprints Skill side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.
2 trust signals differ across this comparison (Package trust, Source provenance).
✓Use this skill as planning or review guidance; verify generated commands, code, configuration, and infrastructure changes before running them.
Apply least-privilege credentials and test in staging or a disposable branch before using it on production systems, CI, deployment, or account-write workflows.
✓Can design automation for live browsers, accounts, workflows, or infrastructure; use staging targets and human approval before destructive or account-write actions.
Keep API tokens and service credentials least-privileged, and verify generated runbooks before scheduling or unattended execution.
✓Use this skill as planning or review guidance; verify generated commands, code, configuration, and infrastructure changes before running them.
Apply least-privilege credentials and test in staging or a disposable branch before using it on production systems, CI, deployment, or account-write workflows.
✓May produce commands or configuration for live infrastructure, CI, releases, or indexing; test changes in staging or dry-run mode first.
Use least-privilege API tokens and review workflow, deploy, DNS, cache, and release changes before applying them to production.
Privacy notes
✓Inputs can include source files, prompts, logs, account metadata, repository details, and operational context that may be sent to the configured AI model.
Redact secrets, customer data, private URLs, credentials, and proprietary implementation details before sharing prompts, reports, or generated artifacts.
✓Inputs and outputs can include browser state, account metadata, workflow payloads, infrastructure inventory, logs, and operational screenshots.
Redact credentials, session data, customer records, internal hostnames, and private workspace details before sharing prompts or artifacts.
✓Inputs can include source files, prompts, logs, account metadata, repository details, and operational context that may be sent to the configured AI model.
Redact secrets, customer data, private URLs, credentials, and proprietary implementation details before sharing prompts, reports, or generated artifacts.
✓Inputs can include repository metadata, workflow logs, deployment settings, domain names, analytics exports, and service configuration.
Redact tokens, account IDs, private URLs, customer data, and proprietary deployment details before sharing generated reports or prompts.
Prerequisites
Service inventory and dependency map
Runtime constraints (CPU, memory, storage, ports)
Existing Compose file or desired target architecture