Use these patterns to automate build and deploy actions and invoke workflow jobs.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioneve-pipelines-workflowsExecute the skills CLI command in your project's root directory to begin installation:
Fetches eve-pipelines-workflows from incept5/eve-skillpacks and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate eve-pipelines-workflows. Access via /eve-pipelines-workflows in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Use these patterns to automate build and deploy actions and invoke workflow jobs.
pipelines in .eve/manifest.yaml.action, script, or agent.depends_on to control ordering.build, release, deploy, run, job, create-pr.eve pipeline listeve pipeline show <project> <name>eve pipeline run <name> --ref <sha> --env <env> --repo-dir ./my-appbuild actionBuild actions create BuildSpec and BuildRun records that are tracked and observable:
build_id and image_digests map (service name to SHA256 digest)eve build show, eve build diagnose, eve build runs, eve build logsUse agent steps when a pipeline stage should run an AI agent job:
pipelines:
remediation:
steps:
- name: analyze
agent:
prompt: "Analyze the failure and propose a fix"
Every deploy pipeline should follow this pattern:
pipelines:
deploy:
steps:
- name: build
action:
type: build
# Creates BuildSpec + BuildRun, outputs build_id + image_digests
- name: release
depends_on: [build]
action:
type: release
# References build_id, derives digests from BuildArtifacts
- name: deploy
depends_on: [release]
action:
type: deploy
env_name: staging
# Uses digest-based image refs for immutable deploys
Build once in test, then promote the same build artifacts to staging/production:
Track pipeline execution:
eve job list --phase active
eve job follow <job-id>
eve job result <job-id>
Monitor pipeline runs in real time:
# Snapshot logs for a run
eve pipeline logs <pipeline> <run-id>
# Real-time SSE streaming
eve pipeline logs <pipeline> <run-id> --follow
# Stream specific step
eve pipeline logs <pipeline> <run-id> --follow --step <name>
Failed steps include failure hints and link to build diagnostics when applicable.
When an environment has a pipeline configured in the manifest, eve env deploy <env> --ref <sha> automatically triggers that pipeline instead of doing a direct deploy.
# Triggers the configured pipeline for test environment
eve env deploy test --ref 0123456789abcdef0123456789abcdef01234567
# Pass inputs to the pipeline
eve env deploy staging --ref 0123456789abcdef0123456789abcdef01234567 --inputs '{"release_id":"rel_xxx"}'
# Bypass pipeline and do direct deploy
eve env deploy staging --ref 0123456789abcdef0123456789abcdef01234567 --direct
# 1. Build and deploy to test environment
eve env deploy test --ref 0123456789abcdef0123456789abcdef01234567
# 2. Get release info from the test build
eve release resolve v1.2.3
# Output: rel_xxx
# 3. Promote to staging using the release_id
eve env deploy staging --ref 0123456789abcdef0123456789abcdef01234567 --inputs '{"release_id":"rel_xxx"}'
environments.<env>.pipeline is set, eve env deploy <env> triggers that pipeline--direct flag to bypass the pipeline and perform a direct deploy--inputs '{"key":"value"}' to pass inputs to the pipeline runenvironments.<env>.pipeline_inputs in the manifest--ref flag specifies which git SHA to deploy (40-character SHA or ref resolved via --repo-dir)This pattern enables promotion workflows where you build once in a lower environment and promote the same artifact through higher environments.
workflows in the manifest.db_access is honored when present (read_only, read_write).eve workflow listeve workflow show <project> <name>eve workflow run <project> <name> --input '{"k":"v"}' (fire-and-forget)eve workflow invoke <project> <name> --input '{"k":"v"}' (wait for result)eve workflow logs <job-id>Control gating, timeouts, and harness preferences via hints:
workflows:
remediate:
hints:
gates: ["remediate:proj_abc123:staging"]
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
Keeps context tight: eve-pipelines-workflows is the kind of skill you can hand to a new teammate without a long onboarding doc.
eve-pipelines-workflows has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: eve-pipelines-workflows is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for eve-pipelines-workflows matched our evaluation — installs cleanly and behaves as described in the markdown.
Registry listing for eve-pipelines-workflows matched our evaluation — installs cleanly and behaves as described in the markdown.
eve-pipelines-workflows fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in eve-pipelines-workflows — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
eve-pipelines-workflows reduced setup friction for our internal harness; good balance of opinion and flexibility.
eve-pipelines-workflows reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added eve-pipelines-workflows from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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