Core Tools

Every BMad installation includes a set of core skills that can be used in conjunction with any anything you are doing — standalone tasks and workflows that work across all projects, all modules, and all phases. These are always available regardless of which optional modules you install.

:::tip[Quick Path] Run any core tool by typing its skill name (e.g., bmad-help) in your IDE. No agent session required. :::

Overview

Tool	Type	Purpose
bmad-help	Task	Get context-aware guidance on what to do next
bmad-brainstorming	Workflow	Facilitate interactive brainstorming sessions
bmad-party-mode	Workflow	Orchestrate multi-agent group discussions
bmad-distillator	Task	Lossless LLM-optimized compression of documents
bmad-advanced-elicitation	Task	Push LLM output through iterative refinement methods
bmad-review-adversarial-general	Task	Cynical review that finds what's missing and what's wrong
bmad-review-edge-case-hunter	Task	Exhaustive branching-path analysis for unhandled edge cases
bmad-editorial-review-prose	Task	Clinical copy-editing for communication clarity
bmad-editorial-review-structure	Task	Structural editing — cuts, merges, and reorganization
bmad-shard-doc	Task	Split large markdown files into organized sections
bmad-index-docs	Task	Generate or update an index of all docs in a folder

bmad-help

Your intelligent guide to what comes next. — Inspects your project state, detects what's been done, and recommends the next required or optional step.

Use it when:

• You finished a workflow and want to know what's next
• You're new to BMad and need orientation
• You're stuck and want context-aware advice
• You installed new modules and want to see what's available

How it works:

1. Scans your project for existing artifacts (PRD, architecture, stories, etc.)
2. Detects which modules are installed and their available workflows
3. Recommends next steps in priority order — required steps first, then optional
4. Presents each recommendation with the skill command and a brief description

Input: Optional query in natural language (e.g., bmad-help I have a SaaS idea, where do I start?)

Output: Prioritized list of recommended next steps with skill commands

bmad-brainstorming

Generate diverse ideas through interactive creative techniques. — A facilitated brainstorming session that loads proven ideation methods from a technique library and guides you toward 100+ ideas before organizing.

Use it when:

• You're starting a new project and need to explore the problem space
• You're stuck generating ideas and need structured creativity
• You want to use proven ideation frameworks (SCAMPER, reverse brainstorming, etc.)

How it works:

1. Sets up a brainstorming session with your topic
2. Loads creative techniques from a method library
3. Guides you through technique after technique, generating ideas
4. Applies anti-bias protocol — shifts creative domain every 10 ideas to prevent clustering
5. Produces an append-only session document with all ideas organized by technique

Input: Brainstorming topic or problem statement, optional context file

Output: brainstorming-session-{date}.md with all generated ideas

:::note[Quantity Target] The magic happens in ideas 50–100. The workflow encourages generating 100+ ideas before organization. :::

bmad-party-mode

Orchestrate multi-agent group discussions. — Loads all installed BMad agents and facilitates a natural conversation where each agent contributes from their unique expertise and personality.

Use it when:

• You need multiple expert perspectives on a decision
• You want agents to challenge each other's assumptions
• You're exploring a complex topic that spans multiple domains

How it works:

1. Loads the agent manifest with all installed agent personalities
2. Analyzes your topic to select 2–3 most relevant agents
3. Agents take turns contributing, with natural cross-talk and disagreements
4. Rotates agent participation to ensure diverse perspectives over time
5. Exit with goodbye, end party, or quit

Input: Discussion topic or question, along with specification of personas you would like to participate (optional)

Output: Real-time multi-agent conversation with maintained agent personalities

bmad-distillator

Lossless LLM-optimized compression of source documents. — Produces dense, token-efficient distillates that preserve all information for downstream LLM consumption. Verifiable through round-trip reconstruction.

Use it when:

• A document is too large for an LLM's context window
• You need token-efficient versions of research, specs, or planning artifacts
• You want to verify no information is lost during compression
• Agents will need to frequently reference and find information in it

How it works:

1. Analyze — Reads source documents, identifies information density and structure
2. Compress — Converts prose to dense bullet-point format, strips decorative formatting
3. Verify — Checks completeness to ensure all original information is preserved
4. Validate (optional) — Round-trip reconstruction test proves lossless compression

Input:

• source_documents (required) — File paths, folder paths, or glob patterns
• downstream_consumer (optional) — What consumes this (e.g., "PRD creation")
• token_budget (optional) — Approximate target size
• --validate (flag) — Run round-trip reconstruction test

Output: Distillate markdown file(s) with compression ratio report (e.g., "3.2:1")

bmad-advanced-elicitation

Push LLM output through iterative refinement methods. — Selects from a library of elicitation techniques to systematically improve content through multiple passes.

Use it when:

• LLM output feels shallow or generic
• You want to explore a topic from multiple analytical angles
• You're refining a critical document and want deeper thinking

How it works:

1. Loads method registry with 5+ elicitation techniques
2. Selects 5 best-fit methods based on content type and complexity
3. Presents an interactive menu — pick a method, reshuffle, or list all
4. Applies the selected method to enhance the content
5. Re-presents options for iterative improvement until you select "Proceed"

Input: Content section to enhance

Output: Enhanced version of the content with improvements applied

bmad-review-adversarial-general

Cynical review that assumes problems exist and searches for them. — Takes a skeptical, jaded reviewer perspective with zero patience for sloppy work. Looks for what's missing, not just what's wrong.

Use it when:

• You need quality assurance before finalizing a deliverable
• You want to stress-test a spec, story, or document
• You want to find gaps in coverage that optimistic reviews miss

How it works:

1. Reads the content with a cynical, critical perspective
2. Identifies issues across completeness, correctness, and quality
3. Searches specifically for what's missing — not just what's present and wrong
4. Must find a minimum of 10 issues or re-analyzes deeper

Input:

• content (required) — Diff, spec, story, doc, or any artifact
• also_consider (optional) — Additional areas to keep in mind

Output: Markdown list of 10+ findings with descriptions

bmad-review-edge-case-hunter

Walk every branching path and boundary condition, report only unhandled cases. — Pure path-tracing methodology that mechanically derives edge classes. Orthogonal to adversarial review — method-driven, not attitude-driven.

Use it when:

• You want exhaustive edge case coverage for code or logic
• You need a complement to adversarial review (different methodology, different findings)
• You're reviewing a diff or function for boundary conditions

How it works:

1. Enumerates all branching paths in the content
2. Derives edge classes mechanically: missing else/default, unguarded inputs, off-by-one, arithmetic overflow, implicit type coercion, race conditions, timeout gaps
3. Tests each path against existing guards
4. Reports only unhandled paths — silently discards handled ones

Input:

• content (required) — Diff, full file, or function
• also_consider (optional) — Additional areas to keep in mind

Output: JSON array of findings, each with location, trigger_condition, guard_snippet, and potential_consequence

:::note[Complementary Reviews] Run both bmad-review-adversarial-general and bmad-review-edge-case-hunter together for orthogonal coverage. The adversarial review catches quality and completeness issues; the edge case hunter catches unhandled paths. :::

bmad-editorial-review-prose

Clinical copy-editing focused on communication clarity. — Reviews text for issues that impede comprehension. Applies Microsoft Writing Style Guide baseline. Preserves author voice.

Use it when:

• You've drafted a document and want to polish the writing
• You need to ensure clarity for a specific audience
• You want communication fixes without style opinion changes

How it works:

1. Reads the content, skipping code blocks and frontmatter
2. Identifies communication issues (not style preferences)
3. Deduplicates same issues across multiple locations
4. Produces a three-column fix table

Input:

• content (required) — Markdown, plain text, or XML
• style_guide (optional) — Project-specific style guide
• reader_type (optional) — humans (default) for clarity/flow, or llm for precision/consistency

Output: Three-column markdown table: Original Text | Revised Text | Changes

bmad-editorial-review-structure

Structural editing — proposes cuts, merges, moves, and condensing. — Reviews document organization and proposes substantive changes to improve clarity and flow before copy editing.

Use it when:

• A document was produced from multiple subprocesses and needs structural coherence
• You want to reduce document length while preserving comprehension
• You need to identify scope violations or buried critical information

How it works:

1. Analyzes document against 5 structure models (Tutorial, Reference, Explanation, Prompt, Strategic)
2. Identifies redundancies, scope violations, and buried information
3. Produces prioritized recommendations: CUT, MERGE, MOVE, CONDENSE, QUESTION, PRESERVE
4. Estimates total reduction in words and percentage

Input:

• content (required) — Document to review
• purpose (optional) — Intended purpose (e.g., "quickstart tutorial")
• target_audience (optional) — Who reads this
• reader_type (optional) — humans or llm
• length_target (optional) — Target reduction (e.g., "30% shorter")

Output: Document summary, prioritized recommendation list, and estimated reduction

bmad-shard-doc

Split large markdown files into organized section files. — Uses level-2 headers as split points to create a folder of self-contained section files with an index.

Use it when:

• A markdown document has grown too large to manage effectively (500+ lines)
• You want to break a monolithic doc into navigable sections
• You need separate files for parallel editing or LLM context management

How it works:

1. Validates the source file exists and is markdown
2. Splits on level-2 (##) headers into numbered section files
3. Creates an index.md with section manifest and links
4. Prompts you to delete, archive, or keep the original

Input: Source markdown file path, optional destination folder

Output: Folder with index.md and 01-{section}.md, 02-{section}.md, etc.

bmad-index-docs

Generate or update an index of all documents in a folder. — Scans a directory, reads each file to understand its purpose, and produces an organized index.md with links and descriptions.

Use it when:

• You need a lightweight index for quick LLM scanning of available docs
• A documentation folder has grown and needs an organized table of contents
• You want an auto-generated overview that stays current

How it works:

1. Scans the target directory for all non-hidden files
2. Reads each file to understand its actual purpose
3. Groups files by type, purpose, or subdirectory
4. Generates concise descriptions (3–10 words each)

Input: Target folder path

Output: index.md with organized file listings, relative links, and brief descriptions