eve-manifest-authoring
Keep the manifest as the single source of truth for build and deploy behavior.
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Installation Guide
How to use eve-manifest-authoring 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 machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
eve-manifest-authoring
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches eve-manifest-authoring from incept5/eve-skillpacks and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate eve-manifest-authoring. Access via /eve-manifest-authoring in your agent's command palette.
Security 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 environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
Eve Manifest Authoring
Keep the manifest as the single source of truth for build and deploy behavior.
Minimal skeleton (v2)
schema: eve/compose/v2
project: my-project
registry: "eve" # Use managed registry by default for Eve apps
services:
api:
build:
context: ./apps/api # Build context directory
dockerfile: Dockerfile # Optional, defaults to context/Dockerfile
# image omitted by default; when build is present, Eve derives image name from service key
ports: [3000]
environment:
NODE_ENV: production
x-eve:
ingress:
public: true
port: 3000
environments:
staging:
pipeline: deploy
pipeline_inputs:
some_key: default_value
pipelines:
deploy:
steps:
- name: build
action:
type: build # Builds all services with build: config
- name: release
depends_on: [build]
action:
type: release
- name: deploy
depends_on: [release]
action:
type: deploy
Registry Image Labels
Some registries require package metadata for permission and ownership inheritance. Add these labels to your Dockerfiles when supported by your registry:
LABEL org.opencontainers.image.source="https://github.com/YOUR_ORG/YOUR_REPO"
LABEL org.opencontainers.image.description="Service description"
Why this matters: Metadata helps preserve repository ownership and improves traceability. The Eve builder injects these labels automatically, but including them in your Dockerfile is still recommended.
For multi-stage Dockerfiles, add the labels to the final stage (the production image).
Registry Modes
registry: "eve" # Eve-native registry (internal JWT auth)
registry: "none" # Disable registry handling (public images)
registry: # BYO registry (full object — see section below)
host: public.ecr.aws/w7c4v0w3
namespace: myorg
auth: { username_secret: REGISTRY_USERNAME, token_secret: REGISTRY_PASSWORD }
For BYO/private registries, provide:
registry:
host: public.ecr.aws/w7c4v0w3
namespace: myorg
auth:
username_secret: REGISTRY_USERNAME
token_secret: REGISTRY_PASSWORD
Managed Databases
Declare platform-provisioned databases with x-eve.role: managed_db:
services:
db:
x-eve:
role: managed_db
managed:
class: db.p1
engine: postgres
engine_version: "16"
Not deployed to K8s — provisioned by the orchestrator on first deploy.
Reference managed values elsewhere: ${managed.db.url}.
Eve-Migrate for Database Migrations
Use the platform's migration runner instead of Flyway, TypeORM, or Knex. It uses plain SQL files with timestamp prefixes, tracked in schema_migrations:
services:
migrate:
image: public.ecr.aws/w7c4v0w3/eve-horizon/migrate:latest
environment:
DATABASE_URL: ${managed.db.url}
MIGRATIONS_DIR: /migrations
x-eve:
role: job
files:
- source: db/migrations
target: /migrations
Migration files: db/migrations/20260312000000_initial_schema.sql. The x-eve.files directive mounts them into the container at /migrations.
In the pipeline, the migrate step must run after deploy (managed DB needs provisioning):
pipelines:
deploy:
steps:
- name: build
action: { type: build }
- name: release
depends_on: [build]
action: { type: release }
- name: deploy
depends_on: [release]
action: { type: deploy }
- name: migrate
depends_on: [deploy]
action: { type: job, service: migrate }
For local dev, use the same image via Docker Compose for parity:
# docker-compose.yml
services:
migrate:
image: ghcr.io/incept5/eve-migrate:latest
environment:
DATABASE_URL: postgres://app:app@db:5432/myapp
volumes:
- ./db/migrations:/migrations:ro
depends_on:
db: { condition: service_healthy }
Legacy manifests
If the repo still uses components: from older manifests, migrate to services:
and add schema: eve/compose/v2. Keep ports and env keys the same.
Services
- Provide
imageand optionallybuild(context and dockerfile). - Use
ports,environment,healthcheck,depends_onas needed. - Use
x-eve.external: trueandx-eve.connection_urlfor externally hosted services. - Use
x-eve.role: jobfor one-off services (migrations, seeds). For database migrations, prefer Eve'seve-migrateimage (see below).
Build configuration
Services with Docker images should define their build configuration:
services:
api:
build:
context: ./apps/api # Build context directory
dockerfile: Dockerfile # Optional, defaults to context/Dockerfile
# image: api # optional if using build; managed registry derives this
ports: [3000]
Note: Every deploy pipeline should include a build step before release. The build step creates tracked BuildSpec/BuildRun records and produces image digests that releases use for deterministic deployments.
Local dev alignment
- Keep service names and ports aligned with Docker Compose.
- Prefer
${secret.KEY}and use.eve/dev-secrets.yamlfor local values.
Environments, pipelines, workflows
- Link each environment to a pipeline via
environments.<env>.pipeline. - When
pipelineis set,eve env deploy <env>triggers that pipeline instead of direct deploy. - Use
environments.<env>.pipeline_inputsto provide default inputs for pipeline runs. - Override inputs at runtime with
eve env deploy <env> --ref <sha> --inputs '{"key":"value"}' --repo-dir ./my-app. - Use
--directflag to bypass pipeline and do direct deploy:eve env deploy <env> --ref <sha> --direct --repo-dir ./my-app. - Pipeline steps can be
action,script, oragent. - Use
action.type: create-prfor PR automation when configured. - Workflows live under
workflowsand are invoked via CLI;db_accessis honored.
Platform-Injected Environment Variables
Eve automatically injects these into all deployed service containers:
| Variable | Description |
|---|---|
EVE_API_URL |
Internal cluster URL for server-to-server calls |
EVE_PUBLIC_API_URL |
Public ingress URL for browser-facing apps |
EVE_PROJECT_ID |
The project ID |
EVE_ORG_ID |
The organization ID |
EVE_ENV_NAME |
The environment name |
Use EVE_API_URL for backend calls from your container. Use EVE_PUBLIC_API_URL for
browser/client-side code. Services can override these in their environment section.
Interpolation and secrets
- Env interpolation:
${ENV_NAME},${PROJECT_ID},${ORG_ID},${ORG_SLUG},${COMPONENT_NAME}. - Secret interpolation:
${secret.KEY}pulls from Eve secrets or.eve/dev-secrets.yaml. - Managed DB interpolation:
${managed.<service>.<field>}resolves at deploy time. - Use
.eve/dev-secrets.yamlfor local overrides; set real secrets via the API for production.
Eve extensions
- Top-level defaults via
x-eve.defaults(env, harness, harness_profile, harness_options, hints, git, workspace). - Top-level agent policy via
x-eve.agents(profiles, councils, availability rules). - Agent packs via
x-eve.packswith optionalx-eve.install_agentsdefaults. - Agent config paths via
x-eve.agents.config_pathandx-eve.agents.teams_path. - Chat routing config via
x-eve.chat.config_path. - Service extensions under
x-eve(ingress, role, api specs, worker pools, cli, object_store). - API specs:
x-eve.api_specorx-eve.api_specs(spec URL relative to service by default). - App CLI:
x-eve.clideclares an agent-friendly CLI for the service (see below). - Toolchains: agent-level
toolchainsdeclarations inject on-demand runtimes (see below). - Cloud FS mounts: configured via integrations, not the manifest (see
references/integrations.md). - Per-org OAuth: each org registers its own OAuth app credentials via
eve integrations configure(seeeve-auth-and-secrets).
Example:
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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
Steps
- 1Install product management skill
- 2Start with user story generation for known feature
- 3Progress to competitive analysis: research 2-3 competitors
- 4Use for roadmap prioritization: apply RICE/ICE scoring
- 5Draft stakeholder communications and refine based on feedback
- 6Build template library for recurring PM tasks
- 7Share 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
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Reviews
- AAisha Nasser★★★★★Dec 28, 2024
eve-manifest-authoring reduced setup friction for our internal harness; good balance of opinion and flexibility.
- SShikha Mishra★★★★★Dec 20, 2024
I recommend eve-manifest-authoring for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- VValentina Shah★★★★★Dec 20, 2024
eve-manifest-authoring reduced setup friction for our internal harness; good balance of opinion and flexibility.
- DDiego Ghosh★★★★★Dec 4, 2024
eve-manifest-authoring is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- WWilliam Kim★★★★★Nov 23, 2024
Keeps context tight: eve-manifest-authoring is the kind of skill you can hand to a new teammate without a long onboarding doc.
- SSakshi Patil★★★★★Nov 19, 2024
Useful defaults in eve-manifest-authoring — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- AAnika Dixit★★★★★Nov 19, 2024
We added eve-manifest-authoring from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- YYash Thakker★★★★★Nov 11, 2024
eve-manifest-authoring fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- HHana Park★★★★★Nov 11, 2024
We added eve-manifest-authoring from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- WWilliam White★★★★★Oct 14, 2024
We added eve-manifest-authoring from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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