From plane
Plane is a team behavior observatory — synthesize Plane API data into observations about how teams actually behave under pressure, not just ticket state. Five compound commands surface cycle velocity vs. plan, stale-ticket ownership churn, reviewer gate strength, stated-vs-actual priority drift, and cross-project workload concentration. Reads from the live mcp__plane MCP server when present; documentation-only otherwise. Use when investigating "why is this team's plan diverging from reality", auditing cycle health, finding orphan tickets, identifying review bottlenecks, or onboarding to a new project. Trigger with "/plane-cycle-velocity", "/plane-stale-tickets", "/plane-reviewer-gate-strength", "/plane-priority-drift", "/plane-cross-project-load", "audit Plane cycle", "team behavior plane", "how is my team behaving".
How this skill is triggered — by the user, by Claude, or both
Slash command
/plane:planeinheritThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
A behavioral observation layer on top of Plane's project-tracking API. This skill **does not** wrap Plane CRUD — `mcp__plane` already does that and you should call it directly for ticket entry, status changes, etc.
A behavioral observation layer on top of Plane's project-tracking API. This skill does not wrap Plane CRUD — mcp__plane already does that and you should call it directly for ticket entry, status changes, etc.
Instead, this skill answers behavioral questions about how a team is actually performing under pressure: cycle velocity vs. plan, ownership churn, reviewer gate strength, priority drift, and cross-project load. Each question is answered by a compound command that synthesizes data across multiple Plane endpoints — observations no single endpoint exposes.
The NOI (references/noi.md) is the design anchor: Plane is a team behavior observatory. Five compound commands derive from that framing:
/plane-cycle-velocity — does cycle close-out match cycle planning?/plane-stale-tickets — which In Progress tickets are quietly failing under shared ownership?/plane-reviewer-gate-strength — which reviewers gate-keep harder than the spec demands?/plane-priority-drift — does the team plan high-priority work but ship low-priority work?/plane-cross-project-load — which engineers are spread across too many active projects?None of these are answerable from any single Plane API call. Each requires cross-endpoint synthesis. That synthesis is the value.
mcp__plane MCP server installed and configured (env vars PLANE_API_KEY, PLANE_WORKSPACE_SLUG, PLANE_API_HOST_URL)This skill does not handle credentials directly. Auth is delegated to the MCP server. See references/api-surface.md for the env-var setup; if mcp__plane returns an auth error, the skill surfaces the error verbatim and instructs the user to verify their token.
Determine user intent from their prompt:
plane-analyst agent (see agents/plane-analyst.md) which orchestrates the compound commands.plane-expert agent (see agents/plane-expert.md) which answers from references/api-surface.md without firing live API calls.If unclear, use AskUserQuestion:
Are you asking about (a) team behavior / cycle health / patterns, or (b) how to use a specific Plane API endpoint?
Most compound commands operate on a specific project. Extract the project slug or readable identifier (e.g., BRAVES, OPS) from the user's prompt.
If absent, list available projects via mcp__plane__get_projects and ask which one. Cache the chosen project for the rest of the conversation.
Match user intent to one of the five commands:
| User asks about... | Command |
|---|---|
| cycle velocity, sprint completion, overrun | /plane-cycle-velocity |
| stale tickets, orphan work, ownership churn | /plane-stale-tickets |
| reviewer bottlenecks, blocked PRs, gate-keeping | /plane-reviewer-gate-strength |
| priority drift, planning vs. reality, P1 vs. P3 | /plane-priority-drift |
| workload distribution, project sprawl, focus | /plane-cross-project-load |
Read references/compound-commands.md for the exact endpoint sequence and output format per command.
plane-analyst agentInvoke the analyst agent (agents/plane-analyst.md) with the chosen command + project. The agent:
mcp__plane__* tools in sequencecompound-commands.mdIf mcp__plane is unavailable, the agent emits a documentation-only response: shows what the command WOULD return, plus the install hint.
The output is observations, not prescriptions. The skill says "this team plans P1s and ships P3s — the planning conversation is theater." It does NOT say "fire the planner." Interpretation belongs to the human reading the report.
Each compound command produces:
| Error | Recovery |
|---|---|
mcp__plane unavailable | Emit documentation-only output + install hint pointing at ~/.claude.json MCP config |
| API rate limit (429) | Back off + retry with exponential delay; if persistent, advise user to wait and re-run |
| Empty project (no cycles / issues) | Return informative empty state explaining why the command can't compute |
| Auth error (401/403) | Surface verbatim + instruct user to verify env vars or re-issue token |
| Workspace member lookup fails | Fall back to assignee UUIDs in output (less readable but functional) |
"How is my team performing on cycle velocity?"
/plane-cycle-velocity BRAVES
→ Renders the cycle-velocity table from references/compound-commands.md § Command 1.
"Are we shipping what we plan?"
/plane-priority-drift BRAVES
→ Renders the priority-drift table; surfaces the gap between planned and shipped priorities.
"Which engineers are stretched too thin?"
/plane-cross-project-load
→ Walks the entire workspace; lists engineers with their active-project / active-cycle / open-issue counts; flags crisis-level stretch.
mcp__plane MCP server — direct CRUD wrapper this skill builds on top of4plugins reuse this skill
First indexed Jul 18, 2026
npx claudepluginhub pw00kt/fuzzy-sniffle --plugin planeCreates structured, bite-sized implementation plans from specs or requirements before writing code. Useful for breaking down multi-step tasks into testable steps with file structure and task boundaries.