django

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Interpretation is structured for decision-making; original keeps the upstream SKILL.md unchanged.

Decide Fit First

  • Core job: Django + FastAPI development. Project structure, DRF serializers/viewsets, Pydantic, async Django with ASGI, admin, ORM optimiza…
  • Best fit: Use it when the task has reusable inputs, steps, and validation criteria rather than a one-off answer.
  • Avoid forcing it: If the source lacks commands, platform support, or external-service evidence, keep those fields unknown instead of guessing.

Design Intent

  • Structure: The skill is organized around “Activate When”, “Workflow”, “Step 1: Project Assessment”, “Step 2: Django Project Structure”, showing how the author expects the agent to judge fit, collect context, and produce verifiable output.
  • Trigger evidence: Prioritize the author’s wording around when to use it, what context to collect, and what output shape to produce.
  • Evidence boundary: Author text states facts, repository files prove commands and paths, and Fluxly only adds fit, limits, and usage judgment.

How To Use It

  • Inputs: Provide target material, scope, expected result, forbidden changes, and validation method.
  • Invocation: Name django directly; if the source includes slash commands, start with the command and then add task context.
  • Validation: Start small and check whether the result follows “Activate When / Workflow / Step 1: Project Assessment” before expanding.

Boundaries And Review

  • Dependencies: It usually needs no extra API key, so start with a small validation task.
  • Permissions: Declared permissions include read / write / env-read; ask the agent to state file, command, and rollback boundaries before acting.
  • Quality bar: A useful result names the deliverable, evidence, and next action. Generic prose means the task needs tighter context.
Fluxly profile Author and license come from source; runtime, permissions, and network are Fluxly detections or estimates
Fluxly category
DevOps
Author-declared agents
No explicit declaration found; this is not inferred or tested compatibility
Static check
88 / 100 · heuristic scan, not runtime safety proof
Author / version / license
@tomevault-io · no license declared
Fluxly token estimate
Lean
Fluxly setup estimate
Manual integration
External API key
No requirement detected
Detected OS requirements
Docker
Runtime requirements
Python · Docker
Detected file/system behavior
  • Read-only
  • Write / modify
  • Env read
Detected network behavior
Local-only
Install commands
None (reference only)

Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.

Heads up: 未限定 allowed-tools,默认拥有全部工具权限。

Output preview django-tomevault-io.preview
# Step 9: Deliverables

PYTHON WEB PROJECT COMPLETE:

Artifacts:
- Framework: <Django | FastAPI | hybrid>
- Apps/modules: <N> apps, <M> models
- API: <DRF ViewSets | FastAPI routers> with <N> endpoints
- Admin: <N> ModelAdmin configs customized
- Database: <PostgreSQL> with <N> indexes, optimized queries
- Async: <ASGI configured | WSGI only>
- Audit: <PASS | NEEDS REVISION>

Next steps:
-> /godmode:api — Document the API with OpenAPI spec
-> /godmode:test — Write model, view, and integration tests
-> /godmode:deploy — Deploy with Gunicorn+Nginx or Docker
-> /godmode:migrate — Handle database schema migrations

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