add-skilllisted
Install: claude install-skill Paldom/databricks-skill-to-app
# add-skill
Builds one production-quality skill in `skills/<name>/`, eval-first. Read
`docs/skill-authoring.md` and `docs/evals.md` once per session before starting;
they are the rulebook this workflow enforces. If invoked as `/add-skill <args>`,
treat `$ARGUMENTS` as the skill name or idea to scope in step 1.
## When NOT to use
- Creating a new skills *repository* → that happens in the workspace above this repo.
- Infrastructure work (hooks, CI, validator, docs) → plain editing, PR-level scrutiny.
- A "skill" that merely restates what the model already does well → don't build it;
a skill must fix a specific observed failure.
## Workflow
1. **Scope.** State in one sentence what the skill does and the concrete failure it
fixes. If the sentence needs "and", split into multiple skills and do them one at
a time. Check `skills/` and the README catalog for overlap — near-neighbor
descriptions steal each other's triggers; adjust scope or plan disjoint wording.
2. **Gather.** Read `.local/` recursively — every subfolder and file is source
material (research, examples, constraints). Then research beyond it: web-search
the topic for current facts, official docs, and prior art; verify anything
load-bearing against primary sources, and cross-validate contested or
high-stakes facts (external APIs, schemas, security claims) with /cross when
available. Verified facts a skill depends on go into `skills/<name>/references/`
as cleaned, tracked files — never ci