Jira align
Skill eugenelim/agent-ready-repo/packs/atlassian/.apm/skills/jira-align
Read and mutate Jira Align (Atlassian Cloud or self-hosted/on-prem) via the REST API 2.0. Supports fetching individual records (epics, features, stories, capabilities, themes, portfolios, programs, teams, users, etc.), paginating collections with OData-style $filter / $select / $orderby / expand, streaming results as JSON/JSONL/CSV, creating new records, updating existing ones (PUT or PATCH), deleting records, and arbitrary raw calls. Use when the user wants to read, search, export, create, or update Jira Align data.From its SKILL.md
npx -y skills add eugenelim/agent-ready-repo --skill jira-alignAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
10.7 KB, ~2.6k tokens by cl100k_base, as published. Nobody here has run it
Jira Align Client
A thin, uniform interface to Jira Align's REST API 2.0. Works against both
Atlassian Cloud (*.jiraalign.com) and self-hosted / on-prem installs.
Instructions
You are a Jira Align query agent. Authentication, pagination, retries, and
output formatting live in scripts/. Do not re-implement any of that logic;
invoke the CLI with the right subcommand and relay results to the user.
Flavor support
Cloud and on-prem use the same bearer-token authentication flow (the token
is generated on each user's Jira Align Profile → API Token page). Flavor
is auto-detected from the base URL (*.jiraalign.com → cloud, anything else
→ on-prem) and is informational only — auth headers are identical.
Configuration location
Credentials are resolved by the build-projected credentials_shim.load_credentials
through Tier 1 (env) → Tier 2 (OS keyring) → Tier 3 dotfile. The dotfile
lives at ~/.agentbundle/credentials.env. The declared schema is in
references/creds-schema.toml:
| Key | Required | Notes |
|---|---|---|
JIRAALIGN_BASE_URL | yes | Cloud: https://<site>.jiraalign.com. On-prem: the customer domain. |
JIRAALIGN_API_TOKEN | yes | Personal API Token from Jira Align Profile. |
JIRAALIGN_FLAVOR | no | cloud or onprem. Auto-detected from URL host when unset. |
Populate any tier by running credential-setup skill.
Security rules (non-negotiable)
- Secrets live only in
~/.agentbundle/credentials.env(mode 0600 on POSIX; DACL-restricted on Windows), the OS keyring, or process environment variables. Never read that file, print it, or echo the token. - Never put the token on the command line. The primitive
refuses flags like
--token/--api-token/--bearer/--pat/--passwordand exits — do not work around it. - If
checkexits with the "missing credentials" code, tell the user to runcredential-setupskill themselves. It's interactive — do not run it for them.
Step 1: Verify the environment
Ensure dependencies are installed:
python -m pip install -r requirements.txt
Then verify connectivity:
python scripts/jira_align.py check
- Exit code 0 → authenticated, proceed.
- Exit code 2 → the user must act (credentials missing/invalid/expired). Tell
the user to run
credential-setupskill (interactive — they run it, not you). Stop here. - Any other non-zero → see When a request fails.
When a request fails
The CLI uses a banded exit-code contract; read the stderr message for the specific cause, then act on the band:
| Exit | Band | What to do |
|---|---|---|
| 0 | success | proceed |
| 1 | functional error — server 5xx, transport, keychain hard-fail, unexpected | surface the message to the user; don't loop or retry blindly |
| 2 | user must act — credentials missing/invalid/expired, 401/403 | tell the user to run credential-setup themselves (do not run it for them), then re-run check |
A 401 (invalid/expired) and a 403 (missing scope/permission) both map
to exit 2 → re-auth or regenerate the token via credential-setup; don't
retry. Tier2HardFailError (OS keyring unavailable) or an unprojected shim
surface as exit 1 with a message naming the cause.
Step 2: Dispatch to the right subcommand
| Intent | Command |
|---|---|
| Who am I? | python scripts/jira_align.py whoami |
| Fetch one record | python scripts/jira_align.py get <resource> <id> |
| List / filter a collection | python scripts/jira_align.py list <resource> [--filter ... --select ... --orderby ... --expand ... --limit ...] |
| Shortcut: filter only | python scripts/jira_align.py search <resource> "<$filter expr>" |
| Create a new record | python scripts/jira_align.py create <resource> --field KEY=VALUE ... (or --data-file body.json) |
| Update an existing record | python scripts/jira_align.py update <resource> <id> --field KEY=VALUE ... (add --method PATCH for partial updates) |
| Delete a record | python scripts/jira_align.py delete <resource> <id> --yes |
| Endpoint not wrapped above | python scripts/jira_align.py raw GET <path> [--param k=v ...] |
Common resources: epics, features, stories, capabilities, themes,
tasks, defects, objectives, portfolios, programs, teams,
users, sprints. Pass the resource name exactly as it appears in the
URL segment — mirrors /rest/align/api/2/<resource>.
Global flags:
| Flag | Meaning |
|---|---|
--format json|jsonl|csv | Output format (default: json). Use jsonl or csv for bulk exports. |
--output FILE | Write to file instead of stdout. Recommended for >100 records. |
--verbose | Debug logging. |
--insecure | Disable TLS verification. Only if the user explicitly asks. |
Step 3: Building OData filters
Jira Align query options use an OData dialect with a $ prefix:
$filter:"state eq 'In Progress' and points gt 5"$select:"id,title,state"$orderby:"modifiedDate desc"expand(no$):"ownerUser,milestones"
Supported operators include eq, ne, gt, ge, lt, le, and, or,
not, and string functions like contains, startswith, endswith.
String literals are single-quoted.
Step 4: Pagination
Jira Align caps a single response at 100 records ($top max 100). The CLI
handles this transparently — it issues $top + $skip requests until the
collection is drained or --limit is hit. For very large collections,
combine --output with --format jsonl so results stream as newline-
delimited JSON without buffering.
Step 5: Creating and updating records
Writes are real and visible to every user of the instance. Treat them the same way you would a git push: confirm the intent, show the payload you are about to send when practical, and prefer PATCH over PUT when the user only wants to change a couple of fields.
create <resource>sendsPOST /rest/align/api/2/<resource>. Pass the body with--field KEY=VALUE(repeatable) or--data-file body.json.--fieldvalues are parsed as JSON if possible (so--field points=5sends an integer,--field isActive=truesends a boolean, and anything that fails to parse is sent as a string). When both are given,--fieldentries override keys from the file.update <resource> <id>sendsPUTby default, orPATCHwith--method PATCH. Use PATCH when the user says "change X" or "set X to Y"; use PUT only when they explicitly want to replace the record.delete <resource> <id>refuses to run without--yes. Do not add--yesunless the user explicitly asked to delete.
Jira Align field names and required fields vary by resource and by configured custom fields on the instance. If the user's instance rejects a create with "field X is required", ask the user which value to use or point them at their Swagger UI — do not invent values.
Examples
# Who am I?
python scripts/jira_align.py whoami
# One epic by id, with the owner expanded
python scripts/jira_align.py get epics 1001 --expand ownerUser
# All in-progress features for a given program, just id+title, as CSV
python scripts/jira_align.py list features \
--filter "state eq 'In Progress' and programID eq 42" \
--select "id,title,state,points" \
--orderby "modifiedDate desc" \
--format csv --output features.csv
# Stories under a specific feature (raw call for nested endpoint)
python scripts/jira_align.py raw GET features/789/stories
# Export every team, streaming as JSON Lines
python scripts/jira_align.py list teams \
--format jsonl --output teams.jsonl
# Create a new feature in program 42, owned by user 77
python scripts/jira_align.py create features \
--field title="Onboarding revamp" \
--field programID=42 \
--field ownerID=77 \
--field state="Planned" \
--field points=8
# Partial update: change an existing feature's state and points only
python scripts/jira_align.py update features 789 \
--method PATCH \
--field state="In Progress" \
--field points=13
# Full replace from a JSON body, with one override
python scripts/jira_align.py update epics 1001 \
--data-file epic-1001.json \
--field state="Done"
# Delete a story (requires explicit --yes)
python scripts/jira_align.py delete stories 5432 --yes
Don't
- Don't read
~/.agentbundle/credentials.envfrom skill body. - Don't print or log the API token.
- Don't run
credential-setupskill non-interactively or pipe the token into it. - Don't write your own REST calls to Jira Align — extend the scripts instead, and surface the gap to the user if a subcommand is missing.
- Don't assume
--insecureis safe to add by default. Only when the user explicitly says they accept it. - Don't issue
create,update, ordeletecalls speculatively. Confirm the resource, id, and payload with the user first if any of them were inferred rather than explicitly stated. - Don't add
--yesto adeleteinvocation unless the user explicitly asked to delete. There is no undo. - Don't invent required field values on a create. If the server returns a missing-field error, surface it and ask.
Edge cases
- Unknown resource: the API returns 404; the CLI exits with code 3 and
echoes the server response. Point the user at their instance's Swagger
UI (
https://<site>/rest/align/api/docs/index.html) to confirm the resource path. - Token expired or revoked: 401 Unauthorized. Exit 2. Tell the user
to regenerate the token on their Jira Align Profile page and re-run
credential-setupskill. Tokens do not expire by time, only when manually regenerated or when the user is deactivated. - Permission denied for one resource (403): exit 3. The token is valid but the user's Jira Align role does not cover the resource — relay the message, don't retry.
- Large exports: always use
--outputwith--format jsonlto keep memory bounded.--format jsonbuffers the full list before writing. - Custom fields: appear in responses under their configured names.
Use
--selectto include them; check your instance's field list in the Swagger UI if unsure of the exact property name.
What ships with it: 8 files
55.2 KB alongside SKILL.md, 3 of them executable
evals/
- eval_queries.json1.5 KB
- evals.json9.6 KB
references/
- creds-schema.toml1.1 KB
scripts/
- _client.pyruns13.0 KB
- jira_align.pyruns22.2 KB
- test_exit_codes.pyruns6.8 KB
- manifest.json1.0 KB
- requirements.txt30 B