bmad-advanced-elicitat…
Push the LLM to reconsider, refine, and improve its recent output. Use when user asks for deeper critique or mentions a known deeper critique method, e.g.…
Runs one or more installed review lenses — adversarial critique, edge cases, verification gaps, structure, prose — and reports triaged findings. Use when, and only when, the user asks you to review a diff, a pull request, or an artifact — code or documents, one or many — and
$ npx -y skills add bmad-code-org/bmad-method --skill bmad-review --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/bmad-reviewContext preview
The summary Claude sees to decide when to auto-load this skill.
Runs one or more installed review lenses — adversarial critique, edge cases, verification gaps, structure, prose — and reports triaged findings. Use when, and only when, the user asks you to review a diff, a pull request, or an artifact — code or documents, one or many — and
name: bmad-review description: 'Runs one or more installed review lenses — adversarial critique, edge cases, verification gaps, structure, prose — and reports triaged findings. Use when, and only when, the user asks you to review a diff, a pull request, or an artifact — code or documents, one or many — and actually says "review"; an explicit skill:bmad-review directive from another skill counts as that ask. A request to act on feedback from an earlier review is a change, not a review. Never invoke this uninvited, including on edits you just made.'
Review content through lenses — each a distinct method and stance — and report findings in one canonical shape. Report what is real — never pad to look thorough. Each lens sets its own stance toward the content and toward zero findings: for most an empty result is valid; the adversarial lens requires at least ten concrete findings and treats an empty list as a signal to re-check; the editorial lenses hold content sacrosanct and critique only how it is organized and expressed.
The lens set is whatever `{workflow.lenses}` resolves to, not a fixed list — overrides add lenses and replace shipped ones. Never claim a capability from this file; read the resolved lenses and work from those.
1. **Resolve customization:** `uv run {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --project-root {project-root} --key workflow`. On failure, read `{skill-root}/customize.toml` directly and use defaults. **Forwarded activation:** if a caller invoked you with pre-resolved customization fields (e.g. the `bmad-editorial-review` shim), honor them verbatim for those named fields — they already carry the user's overrides — and resolve only the remaining fields from your own `customize.toml`. Then execute each `{workflow.activation_steps_prepend}` entry in order, hold `{workflow.persistent_facts}` as standing context for the session, and treat `{workflow.review_guidance}` entries as standing review directives for every lens. 2. **Load the content.** Stage it once as a file: when the content is a branch, uncommitted work, or a commit range, use the repository's version-control tooling to write the unified diff to a uniquely-named file in the system temp directory and take that file's absolute path as the content. A branch means its diff against the merge base with its base branch; uncommitted work includes untracked files. Stage `claims` to its own file the same way — it is input for one lens, staged separately precisely so the other lenses never see it. If the content is empty or cannot be decoded as text: when the caller expects the raw findings JSON array (e.g. the legacy edge-case forwarder), return `[{"location":"N/A","trigger_condition":"Input empty or undecodable","guard_snippet":"Provide valid content to review","potential_consequence":"Review skipped — no analysis performed"}]` (no `lens` field) and stop; otherwise say what's wrong and ask for reviewable content. Classify the content — diff, source file, function, or document — and whether it is **code** or **docs**; scope rules and lens applicability both depend on it. A document that defines behavior (spec, requirements, plan, story) is `docs` that a behavioral lens may still apply to; judge by `when`. 3. **Select lenses** from `{workflow.lenses}`. A lens with an empty `instruction` is disabled. If the user or caller named lenses, run exactly those only — `applies_to` and `when` do not filter an explicit request. Otherwise run every enabled lens whose `applies_to` covers the content class (`any` always covers) and whose `when` applies. 4. **Announce the plan** in one line before running anything: the content class, the lenses about to run, and — when any lens has `after` set — that it runs on top of the named lens's findings. Skip the announcement entirely when the caller pinned an exact output contract (the legacy forwarders that demand raw JSON or one exact line) — their contract covers everything you emit, not just the findings block. Then execute each `{workflow.activation_steps_append}` entry in order. 5. **Run the independent lenses** — every selected lens without `after`. Each sees the content and `also_consider`, never another lens's findings. Follow each lens's `instruction`; the shipped lenses load their reference file just-in-time, so load only what runs. When subagents are available, launch every independent lens before handling any lens's result. Try running them simultaneously: spawn one per lens; give it the lens
Repo: bmad-code-org/bmad-method
Push the LLM to reconsider, refine, and improve its recent output. Use when user asks for deeper critique or mentions a known deeper critique method, e.g.…
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