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humansys/raise/packages/raise-cli/src/raise_cli/skills_base/rai-backlog-setup/SKILL.md

rai-backlog-setup

Configure a Jira instance for all RaiSE skills in one session: connection, custom fields, workflow statuses, and link types — backlog.yaml complete.

Source repository stars
71
Declared platforms
0
Static risk flags
1
Last source update
2026-08-22
Source checked
2026-08-25

Decision brief

What it does: where it fits

Configure a Jira instance for all RaiSE skills in one session: connection, custom fields, workflow statuses, and link types — backlog. yaml complete.

Best for

  • Use this skill after rai init, when connecting to a new Jira instance, or when /rai-doctor reports missing adapter config.
  • When to skip: rai backlog fields list shows configured fields — adapter already set up.

Not for

  • Tasks that require unconfirmed production actions or broad system permissions.
  • Environments where the pinned source and install steps cannot be inspected.

Compatibility matrix

Platform support, with evidence labels

PlatformStatusEvidenceWhat to check
CodexNot declaredNo explicit evidencePortability before use
Claude CodeNot declaredNo explicit evidencePortability before use
CursorNot declaredNo explicit evidencePortability before use
Gemini CLINot declaredNo explicit evidencePortability before use
Open the compatibility checker

Installation

Inspect first. Install second.

The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

Source-detected install commandSource
npx skills add https://github.com/humansys/raise --skill "packages/raise-cli/src/raise_cli/skills_base/rai-backlog-setup"
Safe inspection promptEditorial

Inspect the Agent Skill "rai-backlog-setup" from https://github.com/humansys/raise/blob/88a77d6e4065e3c8bdbae9be4aff5b84e6a7a5eb/packages/raise-cli/src/raise_cli/skills_base/rai-backlog-setup/SKILL.md at commit 88a77d6e4065e3c8bdbae9be4aff5b84e6a7a5eb. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

Workflow

What the source asks the agent to do

  1. 01

    Step 0: Credential Gate

    If any check fails: stop and present the message above. Do NOT ask the user to type the token in the chat. Do NOT suggest running source. rai carga /.rai/.env y .env del proyecto automáticamente en cada comando.

    If any check fails: stop and present the message above. Do NOT ask the user to type the token in the chat. Do NOT suggest running source. rai carga /.rai/.env y .env del proyecto automáticamente en cada comando.JIRAURL, JIRAAPITOKEN, and JIRAUSERNAME are present in the environment. Skill proceeds.
  2. 02

    Step 1: Ask Site Domain

    Ask the user (one question):

    Ask the user (one question):"¿Cuál es tu Jira site? (ej. humansys.atlassian.net)"Store the answer as {site} (dominio completo). Derive the instance label automatically: {instance} = first part of the domain (e.g. humansys.atlassian.net → humansys).
  3. 03

    Step 2: Ask Projects

    Ask the user (one question):

    Ask the user (one question):"¿Qué proyectos incluir? (coma-separados, ej. RAISE,DEMO)"Store the answer as {projects}. Save the first project key as {firstproject} for later verification.
  4. 04

    Step 3: Run Adapter Setup

    Where {site} = humansys.atlassian.net and {instance} = humansys (derived from site).

    Where {site} = humansys.atlassian.net and {instance} = humansys (derived from site).Use --overwrite if .raise/backlog.yaml already exists and the user wants to regenerate.Warning: Running --overwrite after Steps 4–6 are complete will erase all custom fields, workflow, and link-type config. Only use it to reset the base config before running discovery again.
  5. 05

    Step 3.5: Discover Issue Types

    Registers all project issue types with key prefixes in backlog.yaml (Epic→e, Story→s, Bug→b; custom types get the shortest unique lowercase prefix). Without this step, rai backlog create --type {CustomType} cannot resolve the type.

    Registers all project issue types with key prefixes in backlog.yaml (Epic→e, Story→s, Bug→b; custom types get the shortest unique lowercase prefix). Without this step, rai backlog create --type {CustomType} cannot resol…rai backlog issue-types list {firstproject} shows issue types and .raise/backlog.yaml contains an issuetypeprefixes section.

Permission review

Static risk signals and limitations

Network access

medium · line 37

The documentation includes network, browsing, or remote request actions.

echo " 1. Llena .env.example y cópialo a .env en el proyecto: JIRA_URL=https://tu-instancia.atlassian.net"

Evidence record

Why each signal appears

EvidenceSourceComputedTestedEditorial
SignalValueEvidence typeMeaning
Quality score91/100ComputedDocumentation, specificity, maintenance, and trust rules
Repository stars71SourceRepository attention, not individual Skill quality
Compatibility0 platformsSourceDeclared in the catalog source record
Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

Pinned source

Provenance and original SKILL.md

Repository
humansys/raise
Skill path
packages/raise-cli/src/raise_cli/skills_base/rai-backlog-setup/SKILL.md
Commit
88a77d6e4065e3c8bdbae9be4aff5b84e6a7a5eb
License
Apache-2.0
Collected
2026-08-25
Default branch
main
View the original SKILL.md

Backlog Setup

Purpose

Configure .raise/backlog.yaml for a new Jira instance through a conversational flow — the agent asks two questions and calls the CLI with non-interactive flags. Ends with discovery of custom fields, workflow statuses, and link types, verified by a live rai backlog get call.

Mastery Levels (ShuHaRi)

  • Shu: Follow all steps in order; explain purpose of each section before running
  • Ha: Run steps 0–3 directly; verify once at the end
  • Ri: Gate → ask site + projects → rai adapter setup jira --site x.atlassian.net --instance x --projects Z --yes → discover → verify

When to use this skill

NeedSkill
Configure Jira (backlog.yaml, custom fields, statuses, link types)This skill (rai-backlog-setup)
Configure Confluence (docs.yaml, space, routing)rai-docs-setup
Configure both at once (legacy)rai-adapter-setup (deprecated)

Use this skill after rai init, when connecting to a new Jira instance, or when /rai-doctor reports missing adapter config.

When to skip: rai backlog fields list shows configured fields — adapter already set up.

Context

Prerequisites: JIRA_URL + JIRA_API_TOKEN + JIRA_USERNAME must exist in ~/.rai/.env or .env in the project root. rai init complete.

Steps

Step 0: Credential Gate

[ -n "$JIRA_URL" ] || {
  echo "JIRA_URL no está seteada."
  echo "Opciones:"
  echo "  1. Llena .env.example y cópialo a .env en el proyecto: JIRA_URL=https://tu-instancia.atlassian.net"
  echo "  2. O agrégala globalmente en ~/.rai/.env para todos los worktrees"
  exit 1
}
[ -n "$JIRA_API_TOKEN" ] || {
  echo "JIRA_API_TOKEN no está seteada."
  echo "Opciones:"
  echo "  1. Llena .env.example y cópialo a .env en el proyecto: JIRA_API_TOKEN=tu-token"
  echo "  2. O agrégala globalmente en ~/.rai/.env para todos los worktrees"
  exit 1
}
[ -n "$JIRA_USERNAME" ] || {
  echo "JIRA_USERNAME no está seteada."
  echo "Opciones:"
  echo "  1. Llena .env.example y cópialo a .env en el proyecto: JIRA_USERNAME=tu-email"
  echo "  2. O agrégala globalmente en ~/.rai/.env para todos los worktrees"
  exit 1
}

If any check fails: stop and present the message above. Do NOT ask the user to type the token in the chat. Do NOT suggest running source. rai carga ~/.rai/.env y .env del proyecto automáticamente en cada comando.

Step 1: Ask Site Domain

Ask the user (one question):

"¿Cuál es tu Jira site? (ej. humansys.atlassian.net)"

Store the answer as {site} (dominio completo). Derive the instance label automatically: {instance} = first part of the domain (e.g. humansys.atlassian.nethumansys).

Step 2: Ask Projects

Ask the user (one question):

"¿Qué proyectos incluir? (coma-separados, ej. RAISE,DEMO)"

Store the answer as {projects}. Save the first project key as {first_project} for later verification.

Step 3: Run Adapter Setup

rai adapter setup jira \
  --site {site} \
  --instance {instance} \
  --projects {projects} \
  --yes

Where {site} = humansys.atlassian.net and {instance} = humansys (derived from site).

Use --overwrite if .raise/backlog.yaml already exists and the user wants to regenerate.

Warning: Running --overwrite after Steps 4–6 are complete will erase all custom fields, workflow, and link-type config. Only use it to reset the base config before running discovery again.

rai backlog get {first_project}-1

Step 3.5: Discover Issue Types

rai backlog issue-types discover {first_project}

Registers all project issue types with key prefixes in backlog.yaml (Epic→e, Story→s, Bug→b; custom types get the shortest unique lowercase prefix). Without this step, rai backlog create --type {CustomType} cannot resolve the type.

Step 4: Discover Custom Fields

Before running, explain: "Custom fields let RaiSE skills read and write structured data on issues (e.g. classification fields for bugs, priority tiers, etc.)."

Run first to show available issue types (project key is a positional argument, no flag):

rai backlog issue-types list {first_project}

Ask (one at a time):

  1. "Which issue types do you want to configure custom fields for?"
  2. For each chosen type: "What custom fields? If unsure, I can search first." — if unsure, run rai backlog fields search --project {first_project} "{term}" for each term (note: fields search returns all project fields — it does not filter by issue type)
rai backlog fields discover --names "{field1},{field2},..." --issue-type {IssueTypeName}

--issue-type here accepts the display name returned by issue-types (e.g. Historia, Error).

Repeat for each chosen issue type.

Step 5: Discover Workflow Statuses

Ask: "Which issue types should I configure workflow statuses for?"

Run once per selected type:

rai backlog statuses discover {first_project} --issue-type {DISPLAY_TYPE_NAME}

--issue-type accepts the display name returned by rai backlog issue-types list (e.g. Historia, Tarea, Error). The CLI resolves aliases from backlog.yaml automatically — internal English names are not needed.

Each run saves statuses under workflow.{IssueType} — running for multiple types accumulates without overwriting.

Verify with:

rai backlog statuses list

Step 6: Discover Link Types

rai backlog link-types discover

0 link types is valid — some instances don't use them.

Step 7: Final Verification

rai backlog fields list

Show the output. Confirm custom_fields.{IssueTypeName} for each configured type, workflow.states, and relation_types are present.

Declare setup complete.

Output

ArtifactDestination
Base adapter config.raise/backlog.yaml — organizations, projects
Custom fields.raise/backlog.yamlcustom_fields.{IssueTypeName}
Workflow statuses.raise/backlog.yamlworkflow.states
Link types.raise/backlog.yamlrelation_types

Quality Checklist

  • Credential gate passed — JIRA_URL, JIRA_API_TOKEN, and JIRA_USERNAME present
  • NEVER print, log, or request the value of a credential in the conversation
  • NEVER suggest running source — credentials are loaded automatically by rai
  • Asked site and projects conversationally (2 questions max before CLI call)
  • Called rai adapter setup jira with --site, --instance, --projects, --yes (no TTY)
  • Ran rai backlog issue-types discover {KEY} (Step 3.5) — writes issue_type_prefixes to backlog.yaml
  • Ran rai backlog issue-types list {KEY} (positional, no --project) to review types before configuring custom fields
  • Used display names for both fields discover --issue-type and statuses discover --issue-type (e.g. Historia, Tarea, Error)
  • Asked user to confirm field names (or ran search first)
  • rai backlog fields list shows entries for each configured issue type
  • NEVER use --context flag — use --issue-type instead
  • Did NOT run adapter setup jira --overwrite after discovery steps

References

  • CLI help: rai adapter setup --help, rai backlog fields --help
  • Complement: /rai-docs-setup (configures Confluence)
  • Legacy: /rai-adapter-setup (deprecated — use /rai-backlog-setup + /rai-docs-setup)
  • Custom field discovery: rai backlog fields search --project KEY "term"

Frequently asked questions

What to verify before installation and use

What does the rai-backlog-setup source document cover?

Configure a Jira instance for all RaiSE skills in one session: connection, custom fields, workflow statuses, and link types — backlog. yaml complete.

How do I install rai-backlog-setup?

The source record exposes this install command: npx skills add https://github.com/humansys/raise --skill "packages/raise-cli/src/raise_cli/skills_base/rai-backlog-setup". Inspect the command and pinned source before running it.

Which permission-related actions were detected?

Static rules flagged network in the source; the page lists the matching lines and excerpts.

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