plugins/lisa-expo-agy/skills/jira-journey/SKILL.md
Read a JIRA ticket's Validation Journey section, execute the steps using Playwright MCP browser tools across all defined viewports, capture screenshots at each marker, generate evidence templates, and post to JIRA + GitHub PR using the jira-evidence skill.
npx skillsauth add codyswanngt/lisa jira-journeyInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Read a JIRA ticket's Validation Journey, execute it via Playwright MCP browser tools, capture screenshots at every [SCREENSHOT: name] marker across all viewports, and post evidence to both JIRA and GitHub PR.
$ARGUMENTS: <TICKET_ID> [PR_NUMBER]
TICKET_ID (required): JIRA ticket key (e.g., PROJ-123)PR_NUMBER (optional): GitHub PR number to update descriptionJIRA_API_TOKEN environment variable setjira-cli configured — .lisa/jira-cli/.config.yml (written by the
setup-jira-cli SessionStart hook) or ~/.config/.jira/.config.ymlgh CLI authenticatedRun the parser script to extract the Validation Journey from the JIRA ticket description:
python3 .claude/skills/jira-journey/scripts/parse-plan.py <TICKET_ID>
The script outputs JSON to stdout:
{
"ticket": "PROJ-123",
"prerequisites": [
"Backend dev server running",
"Admin user with test credentials"
],
"steps": [
{"number": 1, "text": "Navigate to Players page", "screenshot": null},
{"number": 5, "text": "Open transfer modal", "screenshot": "confirm-step-disabled"}
],
"viewports": [
{"name": "Desktop", "width": 1512, "height": 768},
{"name": "Mobile", "width": 375, "height": 812}
],
"assertions": [
"Modal fills entire screen on mobile (no horizontal overflow)"
]
}
Read the JSON output and use it to drive the Playwright session.
Before starting the journey, verify each prerequisite:
browser_navigate to the app URL).env.localhost or .env.local)For each viewport defined in the journey:
browser_resize to set the viewport dimensionsscreenshot marker, use browser_take_screenshot to capture the screenshotScreenshots are named: {NN}-{screenshot-name}-{viewport-name}.png
NN: zero-padded sequential number (01, 02, 03...)screenshot-name: the value from [SCREENSHOT: name] in the JIRA stepviewport-name: lowercase viewport name from the Viewports tableExample: For a journey with 3 screenshot markers and 2 viewports:
evidence/
01-search-step-desktop.png
02-confirm-step-desktop.png
03-success-step-desktop.png
04-search-step-mobile.png
05-confirm-step-mobile.png
06-success-step-mobile.png
comment.txt
comment.md
Execute the full journey once per viewport. Between viewports:
browser_resizeThis ensures each screenshot is captured at the correct viewport dimensions with the correct application state.
After capturing all screenshots, run the template generator:
python3 .claude/skills/jira-journey/scripts/generate-templates.py \
<TICKET_ID> \
<PR_NUMBER> \
<BRANCH_NAME> \
./evidence
This generates evidence/comment.txt (JIRA wiki markup) and evidence/comment.md (GitHub markdown) with:
Use the jira-evidence skill to post everything:
bash .claude/skills/jira-evidence/scripts/post-evidence.sh <TICKET_ID> ./evidence <PR_NUMBER>
Confirm images render inline at both the JIRA ticket and GitHub PR.
The JIRA ticket description must contain a section with this structure:
h2. Validation Journey
h3. Prerequisites
- App running locally or on dev
- Authenticated as test user
- Required feature flags enabled
h3. Steps
1. Navigate to the relevant page
2. Perform the first action
3. Click on the element [SCREENSHOT: element-state]
4. Complete the flow
5. Verify the final state [SCREENSHOT: final-state]
h3. Viewports
||Name||Width||Height||
|Desktop|1512|768|
|Mobile|375|812|
h3. Assertions
- Visual assertion about expected behavior
- Another assertion about responsive layout
[SCREENSHOT: name] markers define where to capture. The name is used in the filename.Some modals close when the viewport changes. The viewport execution strategy (full journey per viewport) handles this — each viewport starts fresh.
If the app requires re-authentication after resize/navigation, include the auth steps in the journey.
If a step is conditional, capture the screenshot at the state described in the step text, not after the conditional action.
development
Prepare a machine — a fresh laptop or a throwaway container — to run coding agents, before any repository exists. Detects which of Lisa's supported agents (Claude Code, Codex, Cursor, OpenCode, Antigravity, Copilot) are already installed, asks which credential manager the machine uses (Bitwarden, 1Password, Doppler, Vault, AWS, or none), and installs only what is missing, each by its vendor's own preferred method. Idempotent, headless by default, and emits a Dockerfile for a spin-up/spin-down environment. Run it on a new machine, in a container, or before cloning anything.
tools
Provision and verify a remote execution environment for a host project — Codex Cloud today, other remote surfaces as they are added. Generates a repository-owned setup script that installs the declared toolchain, materializes secrets through lisa-secrets-access, and runs the project's own hook. Provisions by API where one exists, by driving the vendor console where one does not, and by emitting exact config otherwise — then proves the result with the same read-back regardless of which tier did the work. Use before dispatching any work with executionEnv.
tools
Bring a developer's machine in line with the toolchain the project declares. Reports every tool in remoteEnv.tools that is missing, outdated, or unpinned for this platform, and installs the missing ones into ~/.local/bin from the same pinned, checksummed entries the remote surfaces use — but only when asked. Same manifest, same pins, same installers as lisa-setup-remote-env; what differs is consent and that the pin is a floor rather than an equality. Run it on a fresh checkout, after a manifest change, or when a tool fails at the moment of use.
tools
Route one unit of work to a remote execution surface. Reads the executionEnv parameter (local by default, codex-cloud or claude-web today), verifies the environment is provisioned and bound to this repository, submits a thin skill invocation, records the task identifier to .lisa/remote-dispatch.json, and exits without polling. Routing only — the remote runs the identical skill from the identical repository. Composable and inline: other skills invoke it via the Skill tool rather than users calling it directly.