Execute qualquer Skill no Manus
com um clique

Execute qualquer Skill no Manus com um clique

issue-tracking

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Atualizado11 de junho de 2026 às 15:40

Create, manage, and track issues in GitHub, Linear, or GitLab. Use when the user asks to "create an issue", "file a bug", "check issues", "update a ticket", "create an epic", or anything about issue/ticket management.

Instalação

Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.

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Fonte

arozumenko

arozumenko/sdlc-skills

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Ocupações relacionadasSOC

Baseado na classificação ocupacional SOC

Desenvolvedores de softwareInformática e Matemática·SOC 15-1252

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SKILL.md

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name	issue-tracking
description	Create, manage, and track issues in GitHub, Linear, or GitLab. Use when the user asks to "create an issue", "file a bug", "check issues", "update a ticket", "create an epic", or anything about issue/ticket management.
license	Apache-2.0
compatibility	Requires the tracker's CLI or MCP wired in — gh / glab / Atlassian MCP / Azure DevOps MCP / Linear CLI/MCP. Scout's Step 6.8 wires these per-agent on restrictive hosts.
allowed-tools	Bash(gh:) Bash(linear:) Bash(glab:*)
metadata	{"authors":["Artem Rozumenko <artem_rozumenko@epam.com>","Alexander Bychinskiy <alexander_bychinskiy@epam.com>"],"version":"0.2.0"}

Issue Tracking

Create, query, comment on, and close tickets on whatever tracker the project actually uses. This skill is tracker-aware — the same operation lands in the right system because the dispatch reads .agents/profile.md.

Step 0 — Read the destination from profile.md

Before any command, open .agents/profile.md § Project systems § Issue tracker. Scout's Step 0.7 records one of:

Value (profile.md)	Default tooling
`github-issues` (default)	`gh` CLI
`gitlab-issues`	`glab` CLI
`jira`	Atlassian MCP (create / comment / transition); body must be in ADF
`azure-devops`	Azure DevOps MCP (`az boards` as a fallback)
`linear`	Linear CLI (`linear`) or Linear MCP
`Unconfirmed`	Default to `gh`; surface the gap to the operator so scout can fill the field

On restrictive hosts (e.g. Copilot CLI), scout's Step 6.8 has already wired the matching CLI/MCP into the calling agent's tools: whitelist based on what's actually installed. If the named tracker has no wired tool, stop and escalate rather than silently falling back — the right ticket in the wrong tracker is worse than no ticket.

Body templates

Body shapes are tracker-agnostic markdown — they live in references/templates.md and are reused across all trackers. Pick:

Bug Report — defect filing (severity, environment, steps, expected, actual, evidence, frequency, workaround); for lightweight clarifications, use the same template at [INFO] severity
Task — implementation task under an epic
Epic — multi-task feature umbrella

Render the markdown body, then hand it to the tracker-specific command below. Jira / Azure DevOps require ADF (Atlassian Document Format) rather than markdown — convert via whatever ADF-authoring capability your agent has wired.

File a defect

Standard flow when the caller is filing a new defect:

Read .agents/profile.md § Project systems § Issue tracker (see Step 0 above) and § Bug filing — the latter records:
- Bug filing style: github-issue (standalone) / story-subtask (sub-task under a parent story; Jira / ADO only) / separate-ticket (filed into a dedicated QA/bugs project)
- Bug filing target: when style is separate-ticket, the destination project/board key
Fill the Bug Report template from references/templates.md.
Open the ticket via the tracker's create command (see Create issue below). For story-subtask, the caller is responsible for providing the parent story ID; pass it as the parent when invoking the tracker's create command. For separate-ticket, target the project named in § Bug filing target.
Return the ticket ID and URL to the caller. What the caller does with that ID (note in an AFS, attach to a test, link in a PR body) is caller policy, not this skill's concern.

This skill files tickets and posts/queries/closes them. It does not own the in-flight comment language a developer posts while fixing a bug (investigating / reproduced / root-cause / fixed) — that belongs to whatever dev-fix-lifecycle skill the project uses. Callers who need both file the initial defect through this skill, then drive the fix lifecycle separately.

Create issue

GitHub (`github-issues`)

gh issue create --title "Short title" --body "$(cat <<'EOF'
<body from references/templates.md>
EOF
)" --label "bug,high-priority"

GitLab (`gitlab-issues`)

glab issue create --title "Short title" --description "$(cat <<'EOF'
<body from references/templates.md>
EOF
)" --label "bug,high-priority"

Jira (`jira`) — via Atlassian MCP

Call the Atlassian MCP's create-issue tool with:

projectKey from .agents/profile.md § Issue tracker key
issueType (Bug / Task / Story / Sub-task)
summary (title)
description (body — must be ADF, not markdown; convert via the agent's wired ADF-authoring capability before this call)
parentKey for story-subtask
labels / priority per project conventions

Azure DevOps (`azure-devops`)

Via Azure DevOps MCP or az boards work-item create --type Bug --title "..." --description "..." — same field shape as Jira.

Linear (`linear`)

Via Linear MCP or linear issue create --title "..." --description "..." --team <team-key> --label "bug".

Query issues

The shape is the same across trackers (list / view / search); the command differs. Default examples are GitHub; substitute per Step 0.

# GitHub — default
gh issue list --state open
gh issue list --label "bug" --state open
gh issue list --assignee "@me"
gh issue list --search "auth timeout"
gh issue view 123

# GitLab equivalents
glab issue list --state opened
glab issue list --label "bug"
glab issue list --assignee "@me"
glab issue list --search "auth timeout"
glab issue view 123

# Jira / ADO / Linear — drive list / get via the wired MCP. JQL /
# WIQL / Linear filter syntax replaces the CLI flags.

Update issues

# GitHub
gh issue comment 123 --body "Status update: PR #456 submitted"
gh issue edit 123 --add-label "in-progress"
gh issue edit 123 --add-assignee username
gh issue close 123 --reason completed

# GitLab
glab issue note 123 -m "Status update: MR !456 submitted"
glab issue update 123 --label "in-progress"
glab issue update 123 --assignee username
glab issue close 123

# Jira — via Atlassian MCP
# - add_comment(issueKey, body_adf)
# - transition_issue(issueKey, transition="In Progress")
# - assign_issue(issueKey, accountId)
# - transition_issue(issueKey, transition="Done")

# Azure DevOps — via ADO MCP / `az boards work-item update`
# Linear — via Linear MCP / `linear issue update`

Labels (tracker-specific concept)

GitHub / GitLab / Linear have labels; Jira / ADO use components and/or workflow states. Create labels that map to the team's workflow:

# GitHub
gh label create "epic" --color "3E4B9E" --description "Feature epic"
gh label create "task" --color "0E8A16" --description "Implementation task"
gh label create "bug" --color "D73A4A" --description "Something isn't working"
gh label create "high-priority" --color "B60205" --description "Needs attention soon"
gh label create "blocked" --color "FBCA04" --description "Waiting on dependency"

# GitLab
glab label create --name "epic" --color "#3E4B9E" --description "Feature epic"
# … same shape for the rest

For Jira / ADO, labels are configured in the project once — no per- operation create needed. Linear has built-in workflow states; map your team's labels onto those rather than creating ad-hoc ones.

Work log (audit trail)

Every meaningful action gets a comment on the ticket — same discipline regardless of tracker.

Event	Comment prefix
Start work	`🔧 Started: approach...`
Progress update	`📝 Update: what changed...`
Blocked	`🚫 Blocked: what's needed...`
Complete	`✅ Done: summary, PR link`
Testing	`🧪 Testing: plan...`
Bug found	`🐛 Bug: severity, repro, evidence`
Verified	`✅ Verified: what was tested`
Assigned	`📬 Assigned: to whom`
Decomposed	`🔨 Decomposed: task list`

# GitHub example
gh issue comment 103 --body "🔧 **Started**: Implementing login endpoint using existing auth middleware."

# GitLab example
glab issue note 103 -m "🔧 **Started**: Implementing login endpoint using existing auth middleware."

# Jira / ADO / Linear — same prefix discipline, body posted via the
# wired MCP's add-comment / add-work-item-comment tool.

Details

See references/templates.md for the full body templates (Bug Report, Task, Epic, Story, Clarification).

issue-tracking

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Issue Tracking

Step 0 — Read the destination from profile.md

Body templates

File a defect

Create issue

GitHub (github-issues)

GitLab (gitlab-issues)

Jira (jira) — via Atlassian MCP

Azure DevOps (azure-devops)

Linear (linear)

Query issues

Update issues

Labels (tracker-specific concept)

Work log (audit trail)

Details

Issue Tracking

Step 0 — Read the destination from profile.md

Body templates

File a defect

Create issue

GitHub (github-issues)

GitLab (gitlab-issues)

Jira (jira) — via Atlassian MCP

Azure DevOps (azure-devops)

Linear (linear)

Query issues

Update issues

Labels (tracker-specific concept)

Work log (audit trail)

Details

GitHub (`github-issues`)

GitLab (`gitlab-issues`)

Jira (`jira`) — via Atlassian MCP

Azure DevOps (`azure-devops`)

Linear (`linear`)

GitHub (`github-issues`)

GitLab (`gitlab-issues`)

Jira (`jira`) — via Atlassian MCP

Azure DevOps (`azure-devops`)

Linear (`linear`)