add-seed-data
Skill117 starsChanged 10 days agoMITView on GitHub
Creates or updates believable deterministic raw fixture scenarios without breaking an existing prototype. Use when asked to add or change fixtures, seed data, sample data, scenarios, or cross-record relationships. Not for UI redesign, live-data infrastructure, or unrelated commands.
We split this skill into the rules it gives an agent
9 rules. About 0 are common, 9 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈9
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 12
Ask only when the target or requested scenario is consequential and unknown.
- Distinctive: line 16
Before implementation, read the required context contract and its shared resolution owner.
- Distinctive: line 23
Read the target's canonical fixtures, raw types if present, existing data-to-view assembly and directly affected consumers/tests.
- Distinctive: line 36
Keep derived counts, picker options, formatted values, grouping, filtering, sorting and pagination output in the existing assembly layer.
- Distinctive: line 40
Update raw types and assembly only when required by the requested shape, not as a general refactor.
- Distinctive: line 59
Run the narrow consumer-owned checks for raw format/type validity, uniqueness, referential integrity, derived behavior and the requested …
- Distinctive: line 63
Check that unaffected canonical records and meaningful failure cases survive.
- Distinctive: line 65
If rendered output changes, use the consumer-authorized preview behavior and respect its visual approval/validation order.
- Distinctive: line 70
Follow consumer validation/lifecycle and commit policy.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Add seed data
Resolve the target
Resolve an explicit target first: a fixture, scenario, page or surface. Otherwise use the known current target and consumer-declared entry points. Ask only when the target or requested scenario is consequential and unknown. Preserve the original request and answers. Do not infer a route, duplicate a prototype or scaffold a missing surface. Report an absent target before edits.
Before implementation, read the required context contract and its shared resolution owner. Missing required context or installed companions stops affected work with exact paths. Do not automatically run setup, install skills or activate context.
Update the smallest scenario
- Read the target's canonical fixtures, raw types if present, existing data-to-view assembly and directly affected consumers/tests. Use the consumer-declared locations and formats, not an assumed directory or JSON.
- Identify the smallest believable scenario from product context and the request, including needed records, identities and relationships. Reuse canonical fixtures before adding records. Preserve unaffected data and existing scenario intent, including intentional empty or failure cases.
- Edit authored raw inputs only. Keep stable IDs, unique keys, consistent cross-record references and deterministic values, order and timestamps where relevant. Avoid runtime randomness, current-time drift and environment dependence. Do not overwrite private data or copy secrets/private payloads into fixtures. Use synthetic data or data explicitly authorized for this purpose by the user or a public source, not merely accessible data.
- Keep derived counts, picker options, formatted values, grouping, filtering, sorting and pagination output in the existing assembly layer. Do not write assembled view models back to fixtures or invent missing domain collections in components or loaders. Fixed UI text and enums may stay inline.
- Update raw types and assembly only when required by the requested shape, not as a general refactor. A plain HTML/JS consumer can use its existing simple data-to-view function. No framework, schema system or generator is required. Keep valid empty collections distinct from invalid relationships. Expose actual invalid inputs through existing error behavior and focused checks, never repair them with fabricated records or silent success.
- Remain static/offline compatible. Do not add APIs, capture scripts, network access, credentials or a live-mode migration. For an already dual-source consumer, preserve its single source-independent assembly, source reporting and explicit fallback contracts. Do not turn failures into fake live success or import another platform's runtime or URL protocol.
- Change the UI only if the requested shape actually requires it. Before those edits, read the existing prototype authoring guidance and its required context. Follow applicable UI guidance for the scoped change, not a redesign. Data-only changes skip this read and UI workflows.
Verify and report
Run the narrow consumer-owned checks for raw format/type validity, uniqueness, referential integrity, derived behavior and the requested scenarios. Add focused tests through existing tooling when needed. Include relevant empty, single/multiple and boundary records when applicable, not a mandatory matrix. Check that unaffected canonical records and meaningful failure cases survive.
If rendered output changes, use the consumer-authorized preview behavior and respect its visual approval/validation order. Do not assume a browser is available. Static checks do not prove rendered correctness. Report unavailable checks and unverified behavior explicitly rather than calling them passed.
Follow consumer validation/lifecycle and commit policy. Do not commit unless authorized, publish automatically or treat fixture work as context activation. Return the target, context document paths, scoped changes, checks actually run and results, plus remaining limits. No automatic independent review or infrastructure work.
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