Skill v1.0.0
currentAutomated scan98/100version: "1.0.0" name: jfrog-setup-package-managers description: >- Use this skill when the user asks to set up, configure, bind, or connect a package manager (npm, pip, uv, pipenv, maven, gradle, go, docker, helm, ...) to JFrog Artifactory via jf setup and .jfrog/local/package-resolution.json; when a workspace manifest exists with no matching binding entry; or when a session hook reports package-manager config missing. Skip when the binding already has the same repo key. Never pick a repo by discovery; use resolver output only (unless the user names or asks to browse repos). On unresolved or failed setup, ask with the failure verbatim — never switch servers. NOT for installing packages, general Artifactory repo operations (use the base jfrog skill), or MCP server setup (use jfrog-mcp-management). metadata: role: workflow
JFrog — Setup Package Managers for Artifactory
In examples below, <skill_path> is this skill's directory (parent of scripts/ / references/).
Apply the session hook's repo pick via `jf setup`, then record it in `.jfrog/local/package-resolution.json` via `scripts/merge-workspace-binding.sh`. jf setup writes package-manager-native config (.npmrc, pip.conf, uv.toml, …); the binding lets the hook re-apply on later sessions.
At a glance (always-read core)
Every jf setup this session:
- Cover base [`../jfrog/SKILL.md`](../jfrog/SKILL.md) At-a-glance / Tier A
(Step 0.1) → <UA>, --server-id placement, single-server, stop-don't-switch. Prefer full base SKILL.md when you can; Tier B (cli-gotchas / jf-api / …) only if the next action needs jf api / advanced CLI
- Always `--repo` + `--server-id`.
<repoKey>← Step 2
(table / binding / global-cache) or user override / unresolved AskQuestion; never self-discover. <SID> ← resolver only (never user-selected)
- Confirm before first
jf setupunless user asked silent / non-interactive - Exit 0 → merge binding; non-zero → stop, surface CLI verbatim, offer
alternate repo or abort (2-answer cap)
- Binding = decisions, not creds — never write tokens into
.jfrog/local/package-resolution.json
- Unresolved / failed: ask with failure verbatim — never switch servers
- Never skip Gotchas + base Tier A hard
rules (../jfrog/SKILL.md Cautious execution / Server selection / Tier A gotcha floor). Full cli-gotchas.md is Tier B — not required for jf setup
Scope (this skill vs session hook)
Session-start hook: resolves repo keys per package type, injects the "Resolved URLs for this session" table, refreshes the global cache. The same renderer is available on demand via modules/package-resolution/scripts/print-policy.mjs (the enforce notice embeds the exact command), so the policy can be loaded after setup.
This skill: reads that output, runs jf setup, and persists the workspace binding at .jfrog/local/package-resolution.json (via scripts/merge-workspace-binding.sh) when package-manager config is still missing.
Honor the injected policy's governed scope. The session policy lists the package managers it governs. Do not proactively onboard a package manager the policy doesn't govern (e.g. a stray Dockerfile when only pypi/npm are governed) — those are intentionally out of scope. An explicit user request to set up any package manager still works (Step 1's user-mention signal and Step 2's AskQuestion for an unlisted package manager apply as usual).
Prerequisites
jf setupmutates user state (~/.npmrc,~/.docker/config.json, …).
Confirm before the first jf setup in a session unless the user explicitly requests silent/non-interactive setup.
- Covering base At-a-glance / Tier A is required — done as Step 0.1 below.
Out of scope: CLI install/login (../jfrog/references/…).
Gotchas — hard rules (never skip)
Not tips. Do/don'ts and known traps for jf setup — follow every bullet before binding. Also honor base Tier A hard rules from `../jfrog/SKILL.md` (Cautious execution, Server selection, Tier A gotcha floor). Full cli-gotchas.md is Tier B — load only if this session also needs jf api / advanced CLI.
- Always pass `--repo` and `--server-id` — omitting
--repofails when
multiple repos match. See `jf-setup-command.md`.
- `jf setup` overwrites package-manager config without backup — skip package managers whose binding
already matches (Step 1, signal 2).
- Docker / Podman — prefix or stop.
jf setup dockerwrites creds only;
bare docker pull <img> hits Docker Hub. Complete setup, then pull via <host>/<repoKey>/<img>.
- Binding holds decisions, not credentials — never write tokens into
.jfrog/local/package-resolution.json.
- Persist binding with the merge script — after each successful
jf setup,
run scripts/merge-workspace-binding.sh (Step 6). Do not hand-edit the JSON.
- `gradle` ≠ `maven`. Bind under
repositories.gradle, neverrepositories.maven. - Yarn / Poetry — not APR zero-touch; bind only on explicit user ask (Step 1).
References
| File | When to read | |
|---|---|---|
| `references/jf-setup-command.md` | CLI flags, supported package managers, exit-code contract, jf setup --help | |
| `references/global-cache-file.md` | Global cache shape, resolution classes, jq one-liners | |
| `references/workspace-binding.md` | Workspace binding schema, package-manager → type map, merge script | |
| `scripts/merge-workspace-binding.sh` | After each successful jf setup — deterministic binding merge (jq required) |
Step 0 — Read the base skill, then ensure jf is ready
- **Cover base skill At-a-glance / Tier A before the first non-exempt
jf
(even when jf is already configured).** Prefer reading `../jfrog/SKILL.md` in full when you can; the At-a-glance Tier A floor is enough for jf setup / package-manager binding. Load Tier B (cli-gotchas.md, jf-api.md, …) only if the next action needs jf api / advanced CLI. Then run that skill's Environment check (and export JFROG_CLI_USER_AGENT) before the first jf call.
- Ensure
jf+ a configured server (<SID>). Ifjf config showalready
succeeds, skip to Step 1; otherwise:
- `jf --version` missing → install per
`../jfrog/references/jfrog-cli-install-upgrade.md`.
- `jf config show` empty → login per
`../jfrog/references/jfrog-login-flow.md` or jf config add with access-token (Bearer-only).
- Do not run
jf setupuntil both succeed. Confirm before install/login.
Step 1 — Identify package managers to bind
Combine four signals, in order; intersect with jf setup --help supported list:
- Explicit user mention. Map aliases: python →
pip/uv/pipenv(and
poetry only if the user named Poetry); java → maven/gradle; node → npm/pnpm by lockfile (yarn only if the user named Yarn).
- Workspace binding — read
.jfrog/local/package-resolution.json. Drop
package managers already bound to the same key unless recovering from 401/403 (re-run same key). Package-manager → type table: `workspace-binding.md`.
- Workspace manifests when still ambiguous (several package managers of one
type may apply — e.g. requirements.txt and uv.lock):
| Manifest / signal | Package manager | |
|---|---|---|
package.json, pnpm-lock.yaml | npm (+ pnpm if pnpm-lock.yaml present) | |
yarn.lock (alone) | npm — do not auto-select yarn | |
requirements.txt | pip | |
Pipfile | pipenv | |
uv.lock | uv — suppresses bare pyproject.toml → pip; keep requirements.txt + uv.lock as multi-PM | |
pyproject.toml | [tool.uv] → uv; [tool.poetry] → poetry only on explicit user ask, else not applicable (do not select pip); bare PEP 621 with no uv.lock → pip | |
pom.xml | maven | |
build.gradle, build.gradle.kts | gradle (bind under type `gradle`) | |
go.mod | go | |
Dockerfile, compose.yaml, docker-compose.yml | docker / podman | |
*.csproj, NuGet.Config | nuget / dotnet | |
Chart.yaml | helm |
Binary gate (client tools only): missing client on PATH → skip as not applicable; do not substitute another package manager or report setup success. Exempt `maven` / `gradle` (config-only). Details: `jf-setup-command.md`.
- `jf setup --help` — filter candidates; never hardcode the list. See
`jf-setup-command.md`. Unsupported → report gap, skip.
Step 2 — Get the resolved repo
For each <package-manager>, recover <repoKey> and <serverId> from the first source available:
- "Resolved URLs for this session" table (default). Parse
<repoKey>
from URL; <serverId> from host.
- Workspace binding — if table was trimmed.
repositories.<type>
(gradle → repositories.gradle, not maven).
- Global cache — last resort only; never overrides (1) or (2). See
Cache disagreeing with (1)/(2) is not a reason to change the repo.
Don't choose a repo yourself: no listing, enumerating, probing, or iterating --server-id to pick one, and don't second-guess the resolver — use resolver output only. If the user explicitly asks to browse repos, list them via jf api "/artifactory/api/repositories?type=virtual&packageType=<pkgType>" (Artifactory package type from the binding map — gradle not maven; uv / pip / pipenv / poetry → pypi), then let the user choose; the agent still never makes the choice on its own.
Unresolved repo key
Ask via AskQuestion (include the resolver/setup failure text verbatim):
No default repo for<package-manager>on<SID>.Failure:<verbatim failure>Which Artifactory repository should I use? (repo key, orabort.)
Cap at 2 answers per package manager, then abort. User may override repo only, never server.
Step 3 — Confirm, run jf setup, persist binding
- Present the plan, one row per package manager:
``text <package-manager> → <repoKey> on <SID> (source: resolver) <package-manager> → <repoKey> on <SID> (source: user-supplied) ``
- Show binding diffs when the repo key changes.
- Confirm via AskQuestion (
apply/change repos/abort) unless the
user explicitly requested silent/non-interactive setup — then run directly.
- Sequentially, one package manager at a time:
``bash jf setup <package-manager> --server-id <SID> --repo <repoKey> [--project <key>] ``
- Exit code `0` = success — merge binding (step 6). On non-zero, stop,
surface CLI output verbatim, offer alternate repo or abort (2-answer cap).
- On success, run the merge script (do not hand-edit JSON). Pass the
IDE workspace root when the shell cwd is not that root:
``bash bash <skill_path>/scripts/merge-workspace-binding.sh \ --package-manager <package-manager> \ --repo <repoKey> \ [--workspace-root <workspace-root>] ``
Requires jq (same prerequisite as the base jfrog skill). Exit 0 prints merged <type> → <repo> into <path>. On non-zero, stop, surface stderr verbatim — do not claim the binding was recorded. Schema and PM → type map: `workspace-binding.md`.
Step 4 — Load the routing policy
If this session started with the "routing NOT READY" (enforce) notice, that notice includes a refresh command (node <plugin>/modules/package-resolution/scripts/print-policy.mjs). After Step 3 succeeds, run that exact command and treat its stdout as the authoritative, now-current policy — it prints the resolved Artifactory URLs and hard rules. Continue the original request using those URLs.
If the command prints nothing, routing is off by config (packageResolution.enabled is not true) — an admin opt-in. Report that to the user and let them decide whether to enable it.
Before you run jf setup — checklist
At a glance invariants:
- [ ] base At-a-glance / Tier A covered;
<UA>exported - [ ]
<repoKey>← Step 2 or user override;<SID>← resolver only - [ ] confirmed (or explicit silent-setup)
- [ ]
jf setup <pm> --server-id <SID> --repo <repoKey> - [ ] exit 0 → merge binding (no creds); non-zero → stop + report verbatim;
never switch servers
- [ ] never skip Gotchas (this skill) + base Tier A hard rules (full
cli-gotchas.md only if Tier B path)