mcpbeat Sign in

Bmad Parallel Plan Skill for Claude

| Turns a sequential, ready-for-dev story backlog into conflict-free CONCURRENT WAVES. Builds a dependency DAG from epic order, per-story dependency maps, and Owned File/Module Scope overlaps, then topologically sorts it into parallel waves of mutually disjoint, dependency-satisfied stories (capped by maxParallel), and emits a parallelization-plan.md with per-story git-worktree branch names and an ordered merge sequence. Use when the user says "plan parallel work", "which stories can run in parallel", "parallelize the backlog", "build the wave plan", "parallelization plan", "conflict-free workstreams", "what can we run concurrently", "split into worktrees", "dependency graph for the stories", "merge order", or "how do I fan this backlog out to multiple dev agents". Run AFTER stories are ready-for-dev (scrum-master) and an architecture exists. This skill PLANS parallelism only — it does NOT run agents, spawn worktrees, write code, run tests, or perform git operations.

8k tokens
context cost
the whole folder, loaded on every use
5
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
471
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/aj-geddes/claude-code-bmad-skills --skill bmad-parallel-plan

The instruction itself

9 sections, as written by the author

BMAD Parallel Plan

Convert a linear backlog into waves of stories that can be developed at the same

time without colliding — then describe exactly how to merge them back together. This

skill produces a *plan*. Your external dev tools execute it.

Persona flavor: Winston (Architect) reasons about isolation; the workflow does the math.

Scope (read first)

  • This skill plans concurrency. It NEVER spawns worktrees, runs dev agents, writes

application code, runs tests, lints, or runs git.

  • Inputs are planning artifacts. The only output is parallelization-plan.md (plus an

optional dependency-graph.json / waves.json for traceability).

  • Branch names and merge order are *recommendations* the dev tool/human carries out.

Inputs

| Artifact | Path (under output folder) | Used for |

|----------|---------------------------|----------|

| Sprint status | sprint-status.yaml | story ids, epic, status, dependency lists |

| Ready stories | stories/{epic}.{story}.{slug}.story.md | Owned File/Module Scope + Dependency Maps |

| Architecture | architecture.md | semantic-conflict prevention (boundaries, shared modules) |

| Config | userConfig.maxParallel (default 3) | wave width cap |

Only stories at status ready-for-dev (or later) are eligible for a wave.

The four steps

  • Lean on architecture for semantic safety. Read architecture.md. Architecture is

what makes parallelism *safe* — clean module boundaries mean two stories touching

different components won't create a hidden semantic conflict even if the files differ.

Note any shared/cross-cutting modules (auth, config, DB schema, shared types); stories

that touch them are high-conflict and rarely parallelizable.

  • Read each story's Owned File/Module Scope. Every ready story declares the explicit

list of paths it may touch. Collect {story_id -> [paths]}. A missing or empty scope

is a planning blocker — flag it; do not guess.

  • Build the dependency DAG, then topologically sort into waves. Edges come from three

conflict classes (see REFERENCE.md):

  • Ordering edges — epic order (stories within an epic are usually sequential) and

each story's explicit Dependency Maps (depends_on).

  • File-scope edges — any two stories whose Owned File/Module Scopes intersect must

not share a wave (an undirected conflict, resolved by lower story id first).

  • Semantic edges — both touch a shared/cross-cutting module from step 1.

Topologically sort: wave *N* = all stories whose dependencies are already satisfied by

waves < N AND that are pairwise file-disjoint AND pairwise semantically safe. Cap each

wave at maxParallel; overflow rolls to the next wave (lowest id first).

  • Emit parallelization-plan.md. For each wave, list the ready-for-dev stories; give

each an isolated git-worktree branch name and its disjoint file scope. Then give the

ordered merge sequence: lowest story id first into an integration branch, an

integration review checkpoint, then a single PR integration -> main.

Three intents

  • Create — first wave plan from the current backlog.
  • Update — re-plan after stories were added/finished/re-scoped (recompute the DAG;

exclude done, re-sort remaining).

  • Validate — re-check an existing plan: confirm every wave is still file-disjoint,

dependency-satisfied, and within maxParallel; report drift.

State the intent, then proceed.

Run the helper scripts

Both scripts are deterministic and read-only. Resolve paths via ${CLAUDE_PLUGIN_ROOT}.

# 1) Build the dependency DAG (edges + conflict class) from status + story scopes
python3 "${CLAUDE_PLUGIN_ROOT}/skills/bmad-parallel-plan/scripts/build-dependency-graph.py" \
  --status   "<output>/sprint-status.yaml" \
  --stories  "<output>/stories" \
  --out      "<output>/dependency-graph.json"

# 2) Topologically sort into capped waves
python3 "${CLAUDE_PLUGIN_ROOT}/skills/bmad-parallel-plan/scripts/plan-parallel-waves.py" \
  --graph        "<output>/dependency-graph.json" \
  --max-parallel 3 \
  --out          "<output>/waves.json"

# 3) (Optional) cross-check two scope lists for overlap — shared orchestrator helper
bash "${CLAUDE_PLUGIN_ROOT}/scripts/scope-conflict-check.sh" \
  "<output>/stories/2.1.foo.story.md" "<output>/stories/2.2.bar.story.md"

Then render waves.json into the human-facing plan using

templates/parallelization-plan.template.md

and write it to <output>/parallelization-plan.md.

Branch & merge conventions

  • Branch per story: story/{epic}.{story}-{slug} (one worktree each, fully isolated).
  • Integration branch per wave: integration/wave-{N}.
  • Merge order inside a wave: ascending story id into integration/wave-{N}.
  • After all of a wave's stories merge: integration-review checkpoint, then PR

integration/wave-{N} -> main. Wave *N+1* branches off the merged main.

Output

  • <output>/parallelization-plan.md — the deliverable.
  • <output>/dependency-graph.json, <output>/waves.json — traceability (optional).
  • Append a one-line entry to <output>/decision-log.md noting maxParallel, wave count,

and any stories deferred for missing scope.

Guardrails

  • Never place two stories with intersecting Owned File/Module Scope in the same wave.
  • Never schedule a story before a story it depends_on.
  • A story with no declared scope is not wave-eligible — surface it for the

scrum-master to fix; do not invent paths.

  • Honor maxParallel; the dev tool enforces real concurrency, the plan must not exceed it.
  • Do not modify Acceptance Criteria, Dev Notes, or Testing in any story — those are LOCKED.

See REFERENCE.md for the wave algorithm, conflict classes, and merge-order

rationale.

> ---

> Part of the BMAD Planning & Orchestrator plugin — a Claude Code harness for the BMAD Method by the BMAD Code Organization (https://github.com/bmad-code-org/BMAD-METHOD). Implements the spirit of bmad-parallel-plan. All methodology credit belongs to the BMAD Code Organization.

Other skills for the same job

different authors, same section of the catalogue
MCP Builder
by anthropics
vendor ×13

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

30k tokens scripts
Changelog Generator
by frostant
×9

Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.

774 tokens
Finishing A Development Branch
by ZhanlinCui
×7

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup

1k tokens
MCP Builder
by JayZeeDesign
×7

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

37k tokens scripts
Vercel React Native Skills
by vercel-labs
vendor ×6

React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.

39k tokens
Vercel React Best Practices
by ratacat
×5

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

34k tokens
Next Best Practices
by vercel-labs
vendor ×4

Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling

20k tokens
Using Git Worktrees
by ZhanlinCui
×4

Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification

1k tokens

How to use it

Copy the folder

Take aj-geddes/bmad-parallel-plan from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.