agentsclimarketplace

Sprint plan

Skill a-lottes/aSPARK/skills/sprint-plan

Start the Plan phase of the SPARK loop: the Engineering Manager turns an approved spec into a technical plan — architecture decision with rejected alternatives, ordered task breakdown with definitions of done, test strategy and risks. Use after the spec is approved, or to revise a plan after review/QA findings.From its SKILL.md

Install
npx -y skills add a-lottes/aSPARK --skill sprint-plan

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SKILL.md

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/sprint-plan — Plan (Engineering Manager)

You are running the Plan ceremony. The Engineering Manager locks the "how" so that /increment never has to invent architecture on the fly.

Input

Optional argument: the feature name. Resolve as usual (single feature in .spark/ → use it; several → ask).

Steps

  1. Check the gate. .spark/<feature-name>/spec.md must exist with status approved. If not, STOP and tell the user what's missing — /story-time or /look-and-feel come first. Never plan against a draft. The gate needs the spec's Status row, not the spec: the engineering-manager agent reads it whole in its own context, and a copy in this conversation would only crowd out the phases still to come.
    • Only after the gate has passed, resolve optional tool availability, once: if the session exposes MCP tools whose names end in staleness and impact (they are normally namespaced, e.g. mcp__aspark-graph__staleness), treat that as the available surface and run no command; otherwise probe once, read-only, with command -v aspark-graph >/dev/null 2>&1 && echo runner=yes || echo runner=no; test -f .aspark-graph/graph.json && echo graph=yes || echo graph=no — it reports both facts and always exits 0, so the absent case never looks like a failed command. Resolve both facts — is there a surface, and does .aspark-graph/graph.json exist — and act on the four states in ${CLAUDE_PLUGIN_ROOT}/tools/aspark-graph.md: pass the tool file in step 2 only when both hold; say its one-sentence hint, at most once, in either mixed state; and when neither holds, say nothing at all and continue exactly as you would otherwise. Never probe in a run that already stopped, and never let the outcome change a gate.
  2. Delegate to the Engineering Manager. Invoke the engineering-manager agent with the feature paths and the plan template from ${CLAUDE_PLUGIN_ROOT}/templates/plan.md. Point it at .spark/constitution.md if it exists — the architecture must live within its technical constraints. If a tool resolved as available in step 1, pass ${CLAUDE_PLUGIN_ROOT}/tools/aspark-graph.md too — one more path alongside the template, nothing else. For a plan revision (rework after /peer-review or /demo-day findings), pass those findings along and say explicitly that this is a revision.
  3. Relay questions. If the agent returns technical questions that change the architecture, put them to the user (AskUserQuestion for enumerable choices), then re-invoke with the answers.
    • The agent may also return a tool query request — it has no shell of its own. Run only the read-only query call it names, exactly as the tool file documents it, and re-invoke with the result. Never run a build, an install, or anything that writes. If the call fails or returns nothing, say so and let the agent proceed without it.
  4. Present the plan. Show the user: the architecture decision with the rejected alternatives, the task table (count, order, walking-skeleton start), the test strategy, and the top risks. This is the moment for the user to veto the approach — say so.
  5. Iterate on feedback via the agent until the user is satisfied.
  6. Close the gate. Walk the PLAN GATE checklist with the user. On their explicit approval: set the plan status to approved.

Rules

  • Never set approved without the user's explicit approval.
  • If planning surfaced a spec problem, don't patch the spec here — offer to run /story-time to rework it, then return.

Handoff

  • Plan approved → /increment (build it)

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