You need a multi-step, auditable Jira delivery loop with routing, live snapshots, and verification.
It supplies a Jira-connected PM router and verification-governed delivery loop.
Editorial confidence: highPlan and manage a sprint with Jira or Linear
Compare product-team workflows by backlog handling, issue creation, capacity, status updates, permissions, and auditability.
Last meaningful review July 20, 2026
The job
You have a backlog or requirements and need to plan and maintain a development sprint in Jira, Linear, or a similar issue tracker.
Includedbacklog refinement and sprint planning · issue creation, prioritization, estimation, and status updates · Jira, Linear, MCP, or API workflows
Not this pageorganization-wide agile transformation · automatic product strategy · GitHub issue triage outside a sprint context
30-second route
Consider Pm Skills ↗
You already have a sprint plan and need to create, query, update, comment on, or transition Jira issues.
It directly documents MCP and REST workflows for Jira issue and sprint operations.
Editorial confidence: highYou need to choose a realistic sprint commitment from history, assess health, or prepare retrospective evidence.
It provides executable velocity, health, and retrospective analytics with explicit data-quality limits.
Editorial confidence: highYou need live Linear issue writes rather than Jira operations or exported-data analysis.
The selected skills evidence Jira delivery, direct Jira operations, or export-based Scrum analytics; none is evidenced here as a general live Linear sprint operator.
Editorial confidence: highBefore you install
Install all three when you need both planning evidence and Jira execution; use them as complementary options rather than a single chained workflow by default.
Pm Skills adds governed orchestration, Jira Integration supplies direct Jira API/MCP operations, and Scrum Master supplies export-based sprint analytics. Each has explicit source evidence for a distinct portion of the task.
Read the intervention guide →Source-led comparison
What changes the choice
Facts are extracted from each selected Skill’s declared workflow. Signals describe public adoption; they are not a universal score.
SkillBest forActionEdits?Setup
Pm SkillsA governed Jira delivery loop that routes sprint, velocity, and Jira-workflow requests to a focused sub-skill.installNone.Configure the bundled Atlassian MCP/OAuth connection before live Jira work. ↗Jira IntegrationDirect Jira sprint operations: search and retrieve issues, create or update work, list sprint issues, comment, and transition statuses.installNone.Use the recommended mcp-atlassian server with Python 3.10+ and uvx, or provide JIRA_URL, JIRA_EMAIL, and JIRA_API_TOKEN for REST access. ↗Scrum MasterEvidence-based sprint planning, backlog grooming, commitment sizing, and health/retrospective analysis from Jira or similar sprint exports.installMap Jira or similar-tool sprint exports to the documented JSON schema before running analysis.Prepare JSON in the supplied sprint-data schema; velocity analysis requires at least three sprints, with six or more recommended for stronger Monte Carlo results. ↗Source notes
Inspect evidence and candidate limits 3 candidates
Why these candidatesEach candidate comes from tracked public sources and has a source-attributed adoption signal. This is a shortlist, not a catalogue or global ranking.
What this cannot establishWe read declared instructions and public signals. We do not run skills, benchmark outputs, audit security, or claim a universal best choice.
Use it forA governed Jira delivery loop that routes sprint, velocity, and Jira-workflow requests to a focused sub-skill.
Avoid ifYou only need straightforward issue creation or status updates and do not need routing or delivery-loop controls.
Actioninstall
EditsNone.
SetupConfigure the bundled Atlassian MCP/OAuth connection before live Jira work.
Inspect workflow and compatibility details
ContextRoutes one PM request at a time, can pull Jira data through its bundled Atlassian MCP, bridge snapshots into sprint analytics, and applies verification gates.
OutputA routed sub-skill artifact plus a short digest; delivery-loop mode records plan, state, gate verdicts, and close handoff.
ControlDeterministic router with explicit verification gates, human owner/reviewer requirements, and approval-required treatment for risky writes.
Invocationpython3 scripts/pm_goal_router.py --text "<the goal>" --output json
Install scopeskill-local
Agent fitStrong for teams wanting an auditable, controlled sprint-management workflow rather than isolated issue operations.
Watch outIt is an orchestrator, not a replacement for its sub-skills; it deliberately routes one lane at a time.
Source-visible capabilitiesJira snapshot to sprint forecastPulls Jira data via MCP, bridges it to sprint schema, and invokes velocity analysis with optional Monte Carlo forecasting.explicit sourceSprint/Jira routingRoutes sprint velocity and Jira workflow requests to scrum-master or jira-expert lanes.explicit source
CompatibilityCodex CLIdeclarednot runtime-testedAtlassian Remote MCPdeclarednot runtime-tested
Evidence
The skill routes project-management requests, pulls live Jira data through Atlassian MCP, bridges data into analytics, and verifies loop steps.SKILL.md:12-20,49-83 · inspected 2026-07-20 · high confidence
Sprint velocity and Jira workflow requests are explicit routing lanes.SKILL.md:22-47 · inspected 2026-07-20 · high confidence
Jira writes are required to be auditable and reversible-first, with risky actions requiring approval.SKILL.md:85-101 · inspected 2026-07-20 · high confidence
Public signal490 /SkillsMP source-specificbest-overalljira-delivery-loopauditableexplicit source
Use it forDirect Jira sprint operations: search and retrieve issues, create or update work, list sprint issues, comment, and transition statuses.
Avoid ifYou need capacity forecasting, retrospective analysis, or a broader sprint-coaching workflow.
Actioninstall
EditsNone.
SetupUse the recommended mcp-atlassian server with Python 3.10+ and uvx, or provide JIRA_URL, JIRA_EMAIL, and JIRA_API_TOKEN for REST access.
Inspect workflow and compatibility details
ContextSupports MCP-based Jira access or direct Jira REST API calls, with explicit issue-operation tools and secure credential guidance.
OutputJira records and updates; the ticket-analysis workflow supplies a structured requirements and acceptance-criteria report.
ControlOperational API workflow; check available transitions before changing status and keep credentials outside source control.
Invocationuvx mcp-atlassian==0.21.0
Install scopeskill-local
Agent fitBest for an agent that needs to turn a prepared sprint plan into Jira tickets and maintain their status.
Watch outIt documents Jira issue operations, not a full capacity-planning or velocity-analysis method.
Source-visible capabilitiesIssue and sprint operationsSearches with JQL; creates, updates, comments on, transitions, links, and lists issues in a sprint.explicit sourceSecure connection choicesOffers recommended MCP access and a direct REST fallback using environment-held credentials.explicit source
Compatibilitymcp-atlassian MCP serverdeclarednot runtime-testedJira REST API v3declarednot runtime-tested
Evidence
The skill directly supports retrieving, analyzing, and updating Jira tickets through MCP or REST.SKILL.md:8-19 · inspected 2026-07-20 · high confidence
Its MCP tool list includes issue creation, updates, transitions, comments, JQL search, and sprint-issue retrieval.SKILL.md:78-94 · inspected 2026-07-20 · high confidence
It documents MCP prerequisites and a REST fallback with required environment variables.SKILL.md:21-67 · inspected 2026-07-20 · high confidence
Public signal494 /SkillsMP source-specificdirect-jira-operationstop-500mcp-or-restexplicit source
Use it forEvidence-based sprint planning, backlog grooming, commitment sizing, and health/retrospective analysis from Jira or similar sprint exports.
Avoid ifYou need the skill itself to create or transition Jira issues live.
Actioninstall
EditsMap Jira or similar-tool sprint exports to the documented JSON schema before running analysis.
SetupPrepare JSON in the supplied sprint-data schema; velocity analysis requires at least three sprints, with six or more recommended for stronger Monte Carlo results.
Inspect workflow and compatibility details
ContextProvides Python workflows for velocity forecasting, sprint-health scoring, and retrospective tracking, then uses those results to set a planning commitment ceiling.
OutputVelocity trends and confidence intervals, health grades with interventions, and retrospective action/theme findings.
ControlData-gated analysis that stops or reports gaps when history or fields are insufficient.
Invocationpython velocity_analyzer.py sprint_data.json --format text
Install scopeskill-local
Agent fitBest for a Scrum team that needs planning evidence and capacity/health calibration alongside a separate Jira-writing tool.
Watch outIt analyzes exported Jira or similar-tool data rather than directly managing Jira tickets.
Source-visible capabilitiesProbabilistic capacity forecastRuns rolling velocity analysis and Monte Carlo forecasts at 50/70/85/95% confidence intervals.explicit sourcePlanning and sprint-health workflowUses the 70% confidence interval as the commitment ceiling and scores reliability, scope stability, blockers, ceremonies, completion, and predictability.explicit source
CompatibilityJira or similar sprint-data exportsdeclarednot runtime-testedPythonappears compatiblenot runtime-tested
Evidence
The skill explicitly covers sprint planning, backlog grooming, story points, velocity, and Jira/similar-tool sprint JSON analysis.SKILL.md:1-17 · inspected 2026-07-20 · high confidence
Velocity analysis provides trend, volatility, Monte Carlo intervals, and a minimum-history validation rule.SKILL.md:32-48 · inspected 2026-07-20 · high confidence
Its sprint-planning workflow uses the 70% confidence interval for commitment and accounts for capacity assumptions and volatility.SKILL.md:121-129 · inspected 2026-07-20 · high confidence
Public signal1882 /SkillsMP source-specificsprint-planningcapacity-forecastinganalyticsexplicit source
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