Scaffold a new built-in enricher for evlog with source, tests, and documentation across six mandatory touchpoints.
Works with
Enrichers follow a strict architecture: info interface, factory function returning a context mutator, header lookup, field merging with overwrite control, and early returns for missing data
Requires updates to enricher source code, test suite, built-in documentation, overview cards, public skill reference, and README enrichers table
All six touchpoints are mandatory; the
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncreate-evlog-enricherExecute the skills CLI command in your project's root directory to begin installation:
Fetches create-evlog-enricher from hugorcd/evlog 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 create-evlog-enricher. Access via /create-evlog-enricher 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.
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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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Add a new built-in enricher to evlog. Every enricher follows the same architecture. This skill walks through all 6 touchpoints. Every single touchpoint is mandatory -- do not skip any.
Recommended format for the pull request title:
feat: add {name} enricher
The exact wording may vary depending on the enricher (e.g., feat: add user agent enricher, feat: add geo enricher), but it should always follow the feat: conventional commit prefix.
| # | File | Action |
|---|---|---|
| 1 | packages/evlog/src/enrichers/index.ts |
Add enricher source |
| 2 | packages/evlog/test/enrichers.test.ts |
Add tests |
| 3 | apps/docs/content/4.enrichers/2.built-in.md |
Add enricher to built-in docs |
| 4 | apps/docs/content/4.enrichers/1.overview.md |
Add enricher to overview cards |
| 5 | skills/review-logging-patterns/SKILL.md |
Add enricher to the Built-in line in the Enrichers section |
| 6 | README.md + packages/evlog/README.md |
Add enricher to README enrichers section |
Important: Do NOT consider the task complete until all 6 touchpoints have been addressed.
Use these placeholders consistently:
| Placeholder | Example (UserAgent) | Usage |
|---|---|---|
{name} |
userAgent |
camelCase for event field key |
{Name} |
UserAgent |
PascalCase in function/interface names |
{DISPLAY} |
User Agent |
Human-readable display name |
Add the enricher to packages/evlog/src/enrichers/index.ts.
Read references/enricher-template.md for the full annotated template.
Key architecture rules:
UserAgentInfo, GeoInfo)create{Name}Enricher(options?: EnricherOptions) returns (ctx: EnrichContext) => voidEnricherOptions -- accepts { overwrite?: boolean } to control merge behaviormergeEventField() -- merge computed data with existing event fields, respecting overwritegetHeader() -- case-insensitive header lookup helperctx.event.{name} = mergedValuectx.event, never throw or logAdd tests to packages/evlog/test/enrichers.test.ts.
Required test categories:
overwrite: false (default) doesn't replace user-provided fieldsoverwrite: true replaces existing fieldsFollow the existing test structure in enrichers.test.ts -- each enricher has its own describe block.
Edit apps/docs/content/4.enrichers/2.built-in.md to add a new section for the enricher.
Each enricher section follows this structure:
## {DISPLAY}
[One-sentence description of what the enricher does.]
**Sets:** `event.{name}`
\`\`\`typescript
const enrich = create{Name}Enricher()
\`\`\`
**Output shape:**
\`\`\`typescript
interface {Name}Info {
// fields
}
\`\`\`
**Example output:**
\`\`\`json
{
"{name}": {
// example values
}
}
\`\`\`
Add any relevant callouts for platform-specific notes or limitations.
Edit apps/docs/content/4.enrichers/1.overview.md to add a card for the new enricher in the ::card-group section (before the Custom card):
:::card
---
icon: i-lucide-{icon}
title: {DISPLAY}
to: /enrichers/built-in#{anchor}
---
[Short description.]
:::
skills/review-logging-patterns/SKILL.mdIn skills/review-logging-patterns/SKILL.md (the public skill distributed to users), find the Enrichers section and add the new enricher to the Built-in: line:
Built-in: `createUserAgentEnricher()`, `createGeoEnricher()`, ..., `create{Name}Enricher()` — all from `evlog/enrichers`.
Add the enricher to the enrichers section in packages/evlog/README.md (the root README.md is a symlink to it). Add the enricher to the enrichers table with its event field and output shape.
After completing all steps, run:
cd packages/evlog
bun run build # Verify build succeeds
bun run test # Verify tests pass
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.
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mattpocock/skills
create-evlog-enricher reduced setup friction for our internal harness; good balance of opinion and flexibility.
create-evlog-enricher has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend create-evlog-enricher for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
create-evlog-enricher fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added create-evlog-enricher from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: create-evlog-enricher is focused, and the summary matches what you get after install.
Keeps context tight: create-evlog-enricher is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend create-evlog-enricher for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
create-evlog-enricher has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: create-evlog-enricher is the kind of skill you can hand to a new teammate without a long onboarding doc.
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