eve-pipelines-workflows▌
incept5/eve-skillpacks · updated Apr 8, 2026
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Use these patterns to automate build and deploy actions and invoke workflow jobs.
Eve Pipelines and Workflows
Use these patterns to automate build and deploy actions and invoke workflow jobs.
Pipelines (v2 steps)
- Define pipelines under
pipelinesin.eve/manifest.yaml. - Steps can be
action,script, oragent. - Use
depends_onto control ordering. - Built-in actions include
build,release,deploy,run,job,create-pr. - Run manually:
eve pipeline listeve pipeline show <project> <name>eve pipeline run <name> --ref <sha> --env <env> --repo-dir ./my-app
- Trigger blocks exist in the manifest; GitHub and Slack webhooks can create pipeline runs.
Built-in Actions
build action
Build actions create BuildSpec and BuildRun records that are tracked and observable:
- Creates BuildSpec (defines what to build) and BuildRun (execution record) in the database
- Outputs include
build_idandimage_digestsmap (service name to SHA256 digest) - These outputs automatically flow to dependent steps (release uses build_id)
- Inspect builds independently:
eve build show,eve build diagnose,eve build runs,eve build logs
Agent steps
Use 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"
Canonical pipeline flow
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
Promotion workflow
Build once in test, then promote the same build artifacts to staging/production:
- The build step creates a BuildRun with artifacts (image digests)
- Releases carry the build_id forward, ensuring identical images across environments
- This pattern guarantees you deploy exactly what you tested
Track pipeline execution:
eve job list --phase active
eve job follow <job-id>
eve job result <job-id>
Pipeline Logs & Streaming
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.
Environment Deploy as Pipeline Alias
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.
Basic usage
# 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
Promotion flow example
# 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"}'
Key behaviors
- If
environments.<env>.pipelineis set,eve env deploy <env>triggers that pipeline - Use
--directflag to bypass the pipeline and perform a direct deploy - Use
--inputs '{"key":"value"}'to pass inputs to the pipeline run - Default inputs can be configured via
environments.<env>.pipeline_inputsin the manifest - The
--refflag specifies which git SHA to deploy (40-character SHA or ref resolved via--repo-dir) - Environment variables and secrets are interpolated as usual
This pattern enables promotion workflows where you build once in a lower environment and promote the same artifact through higher environments.
Workflows
- Define workflows under
workflowsin the manifest. db_accessis honored when present (read_only,read_write).- Invoke manually:
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>
- Invocation creates a job; track it with normal job commands.
Workflow Hints
Control gating, timeouts, and harness preferences via hints:
workflows:
remediate:
hints:
gates: ["remediate:proj_abc123:staging"]
How to use eve-pipelines-workflows on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add eve-pipelines-workflows
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches eve-pipelines-workflows from GitHub repository incept5/eve-skillpacks and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate eve-pipelines-workflows. Access the skill through slash commands (e.g., /eve-pipelines-workflows) or your agent's skill management interface.
Security & Verification Notice
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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
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
Competitive Analysis
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
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ 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.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★43 reviews- ★★★★★Dhruvi Jain· Dec 28, 2024
Keeps context tight: eve-pipelines-workflows is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Aditi Park· Dec 28, 2024
eve-pipelines-workflows has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Hassan Shah· Dec 4, 2024
Keeps context tight: eve-pipelines-workflows is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Henry Patel· Nov 23, 2024
Registry listing for eve-pipelines-workflows matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Oshnikdeep· Nov 19, 2024
Registry listing for eve-pipelines-workflows matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Kofi Farah· Nov 19, 2024
eve-pipelines-workflows fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Aditi Okafor· Nov 11, 2024
Useful defaults in eve-pipelines-workflows — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Mateo Abbas· Oct 14, 2024
eve-pipelines-workflows reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ganesh Mohane· Oct 10, 2024
eve-pipelines-workflows reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Mia Tandon· Oct 10, 2024
We added eve-pipelines-workflows from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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