deploy-pipeline
Skill4 starsChanged 29 days agoMITView on GitHub
[METHODOLOGY] CI/CD pipeline setup, deployment configuration, automated deploy workflows (GitHub Actions, Vercel, Railway, Fly.io, AWS, VPS), secrets management in CI. Preloaded by dev-devops-engineer agent.
- Reads credentials
9 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- Asno-dev/apextheir own version, first seen Oct 15, 2026
- microsoft/power-platform-skillstheir own version, first seen Oct 13, 2026
- bocodes1/claude-skillstheir own version, first seen Oct 11, 2026
- ComposioHQ/awesome-codex-skillstheir own version, first seen Oct 8, 2026
- whz39coding/zh-awesome-codex-skillstheir own version, first seen Jun 2, 2026
- stepanenkoviktor0110-boop/ai-dev-methodologyedited, first seen May 31, 2026
Used with
Projects with it also use agent-deep-links, helium-mcp and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
ComposioHQSkillagent-deep-links
Build, validate, and troubleshoot deep links for Codex, Cursor, VS Code, Visual Studio, and similar tools. Use when users ask for clickable links (especially in Slack) that open threads, files, folders, or app settings.
Also in 3 projects that use this
ComposioHQSkillhelium-mcp
Search real-time news with bias scoring, get live stock/ETF/crypto data with AI analysis, ML options pricing, balanced news synthesis, and meme search via the Helium MCP server.
Also in 3 projects that use this
petestewartSkilldatadog-logs
Query Datadog logs via the Logs Search API v2. Use when the user asks to "check the logs", "search logs", "find errors in Datadog", "look up logs for", "show me production logs", "check for errors", "search Datadog", or any request involving log search, error investigation, or production debugging that requires Datadog log data.
Also in 3 projects that use this
OpenAISkillnotion-meeting-intelligence
Prepare meeting materials with Notion context and Codex research; use when gathering context, drafting agendas/pre-reads, and tailoring materials to attendees.
Also in 3 projects that use this
- +8 more from ComposioHQ
Other versions9 projects use a version of this.
Word for word · 0
None found.
Edited · 1
- stepanenkoviktor0110-boop/ai-dev-methodology★ 226% same
Wrote their own version · 8
- ComposioHQ/awesome-codex-skills★ 17ksame name
- composio-community/awesome-codex-skills★ 16ksame name
- microsoft/power-platform-skills★ 1.1ksame name
- drewid74/ai_skills★ 8same name
- whz39coding/zh-awesome-codex-skills★ 4same name
- Dokkabei97/forged-claude-code★ 2same name
- Asno-dev/apex★ 1same name
- bocodes1/claude-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository48 other files it gives its agents.
- skills/dev-methodology/references/agents.mdAGENTS.md
- skills/skill-authoring/references/agents.mdAGENTS.md
- acceptance-protocolSkill
- agency-intakeSkill
- ai-visibility-methodologySkill
- banner-design-guideSkill
- benchmark-researchSkill
- brand-methodologySkill
- code-reviewingSkill
- code-writingSkill
- codex-bridgeSkill
- design-assets-guideSkill
- design-system-methodologySkill
- design-task-decompositionSkill
- dev-methodologySkill
- docs-pipelineSkill
- documentation-writingSkill
- engagement-contractSkill
- engagement-protocolSkill
- feature-researchSkill
- human-voiceSkill
- infrastructure-setupSkill
- marketing-task-decompositionSkill
- post-deploy-qaSkill
- pre-deploy-qaSkill
- presentation-designSkill
- project-planningSkill
- prompt-engineeringSkill
- security-auditingSkill
- semantic-drift-methodologySkill
- seo-auditingSkill
- skill-authoringSkill
- skill-test-designSkill
- skill-testingSkill
- system-optimization-protocolSkill
- task-decompositionSkill
- tech-spec-planningSkill
- testing-methodologySkill
- ui-styling-guideSkill
- ui-ux-methodologySkill
- user-spec-planningSkill
- validation-pipelineSkill
- yandex-analytics-methodologySkill
- yandex-direct-guideSkill
- yandex-metrika-guideSkill
- yandex-search-guideSkill
- yandex-webmaster-guideSkill
- yandex-wordstat-guideSkill
The file
We split this skill into the rules it gives an agent
9 rules. 0 are common, 6 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 7 edited versions we read keep these.
6
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 14
Read project-knowledge to understand the deployment target:
- Distinctive: line 33
If the task's done-when does not need the missing fact (it asks for CI, not deploy), deliver the rest, leave the deploy job out per …
- Very specific: line 35
If the done-when needs it, write nothing for that part and return blocked with notes starting NEEDS_CONTEXT:, naming the fact and the files …
- Very specific: line 50
Create .github/workflows/ci.yml following this structure:
- Very specific: line 113
Document all required secrets in .claude/skills/project-knowledge/references/deployment.md.
- Distinctive: line 125
After configuring, update project-knowledge references.
- Distinctive: line 135
NO if: early development, manual deploys preferred, manual review step needed (Chrome Web Store).
- Distinctive: line 139
NO if: single-environment app, internal tool.
- Distinctive: line 143
NO if: solo + main-only, Vercel preview deploys sufficient.
“Common” is measured: kept by at least 6 in 10 of the 7 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Deploy Pipeline
Gathering Deployment Context
Read project-knowledge to understand the deployment target:
.claude/skills/project-knowledge/references/deployment.md.claude/skills/project-knowledge/references/architecture.md.claude/skills/project-knowledge/references/patterns.md
Inside an engagement also read engagement/criteria.md and, when they exist, the specs in the
canonical engagement directory your prompt names ({ENG}/specs/project-brief.md §Deployment,
{ENG}/specs/tech-spec.md), not copies in your worktree. If the PK files lack it, search the
other project-knowledge references too: the fact may live under another name.
The facts this skill needs come in three kinds:
- Target platform (Vercel, Railway, Fly.io, AWS ECS, VPS, NPM, Chrome Web Store)
- Environment details (URLs, project/service IDs, server access)
- Required secrets and where to obtain them
Inside an engagement you cannot reach the user. Job layout, triggers, skip logic, caching and
the deploy job's shape are yours: decide and record the ruling (engagement-contract §"Rule, do
not stall"). The three facts above are not: when no source on disk names one, never put a guessed
platform, URL, ID or address into a workflow or a doc.
- If the task's done-when does not need the missing fact (it asks for CI, not deploy), deliver the rest, leave the deploy job out per §Decision Framework, and list the missing fact in your report.
- If the done-when needs it, write nothing for that part and return
blockedwithnotesstartingNEEDS_CONTEXT:, naming the fact and the files you checked.
Outside an engagement (the user invoked you directly), ask the user for the missing facts.
Whatever you learn, write it into deployment.md with its source before proceeding with setup.
Writing the pipeline is the task; running it is not. Inside an engagement commit only as your task prompt says (the engine merges locally) and never push to any remote, run a deploy, trigger a workflow run or touch a server. Anything that leaves the machine is the human's step after acceptance: list those steps in your report. Outside an engagement, push to main or production only after the user says yes; deploys go through CI/CD either way.
CI/CD Convention
Create .github/workflows/ci.yml following this structure:
name: CI
on:
push:
branches: [main]
pull_request:
branches: [main]
jobs:
check-skip:
runs-on: ubuntu-latest
outputs:
should_skip: ${{ steps.check.outputs.should_skip }}
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 2
- id: check
run: |
FILES=$(git diff --name-only HEAD~1 HEAD 2>/dev/null || git diff --name-only HEAD)
if echo "$FILES" | grep -vqE '\.(md|txt)$|^\.claude/|^\.spec/|^docs/'; then
echo "should_skip=false" >> $GITHUB_OUTPUT
else
echo "should_skip=true" >> $GITHUB_OUTPUT
fi
test:
needs: check-skip
if: needs.check-skip.outputs.should_skip != 'true'
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
# setup, install, lint, type-check, test, build
deploy:
needs: test
if: github.ref == 'refs/heads/main' && github.event_name == 'push'
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
# platform-specific deploy actionAdapt: add language setup, install steps, platform-specific deploy action.
Platform Selection
| Platform | Choose when |
| Vercel | Next.js, React, static sites, serverless |
| Railway | Full-stack apps needing managed DB |
| Fly.io | Docker containers, global edge |
| AWS ECS | Enterprise, full infrastructure control |
| Custom VPS | Persistent sessions, multi-device |
| NPM | Node.js packages or CLI tools |
| Chrome Web Store | Browser extensions |
For VPS deployments: server-specific details (IPs, SSH keys, paths) go to deployment.md.
Secrets Convention
Document all required secrets in .claude/skills/project-knowledge/references/deployment.md. For each secret:
- Name (GitHub Actions key)
- Where to obtain value (dashboard URL or CLI command)
- Which workflow uses it
Adding secret values in the repository settings is the user's step, never yours: name each
secret and where it goes in deployment.md and, inside an engagement, in your report, which
reaches the user through the handoff. Never ask for a value or write one anywhere. Create
.env.example with application-level variable names.
Documentation Updates
After configuring, update project-knowledge references. Append to existing content.
deployment.md: deploy target, pipeline overview, required secrets table, manual deploy command, rollback steps.
patterns.md (Git Workflow section): CI triggers, pipeline jobs, skip logic pattern, PR workflow.
Decision Framework
Add deploy job?
YES if: deployment target defined, criteria.md or the user asks for it, stable default branch (per the brief or patterns.md).
NO if: early development, manual deploys preferred, manual review step needed (Chrome Web Store).
Use matrix strategy? YES if: NPM package, cross-platform library. NO if: single-environment app, internal tool.
Add staging? YES if: dev branch exists, multi-developer team. NO if: solo + main-only, Vercel preview deploys sufficient.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

