Move compile-time variable substitution out of the LLM and into a
deterministic Python step. SKILL.md becomes a two-line stdout-dispatch
shim that runs render.py and follows the instruction it prints. The
renderer reads BMad configuration from the central four-layer TOML
surface introduced in #2285 (_bmad/config.toml plus config.user.toml
and the two _bmad/custom/ overrides), with a fallback to the legacy
per-module _bmad/bmm/config.yaml for pre-#2285 installs.
Compile-time refs ({{.var}}) get substituted at render time. LLM-runtime
refs ({var}) pass through untouched.
Renderer (render.py)
- Python 3 stdlib only (tomllib, already bundled since 3.11). UTF-8 I/O.
Every invocation rebuilds from scratch — no hash, no cache.
- find_project_root walks up from cwd; HALT to stdout if no _bmad/
is found anywhere on the path.
- load_central_config deep-merges the four TOML layers in priority
order (base-team → base-user → custom-team → custom-user) so user
overrides in _bmad/custom/config.user.toml win over installer-
regenerated base values. flatten_central_config lifts scalar keys
from [core] and [modules.bmm] into the renderer's flat namespace;
module keys beat core on collision (matches the installer's own
core-key-stripping behavior).
- When _bmad/config.toml is absent, falls through to the legacy
flat-YAML parser for _bmad/bmm/config.yaml — the renderer keeps
working across the #2285 transition.
- {{.var}} substitution; unresolved refs emit empty string (Go
missingkey=zero semantics).
- Smart defaults for planning_artifacts / implementation_artifacts /
communication_language applied after config load. Derives
sprint_status / deferred_work_file from implementation_artifacts.
{{.main_config}} points at whichever surface was actually read.
- Renders every .md in the skill dir except SKILL.md to
{project-root}/_bmad/render/bmad-quick-dev/.
- On success, stderr summary plus a single stdout line:
"read and follow {workflow_md}". On failure, stdout HALT directive —
per the Anthropic skills spec, script stdout is the defined agent-
communication channel.
Skill entry (SKILL.md)
- Two-line shim: run python render.py, follow stdout. No template
tokens in SKILL.md itself.
Template conversions
- workflow.md, step-01..05, step-oneshot, sync-sprint-status: convert
every compile-time {var} reference to {{.var}}. Runtime refs
preserved.
- spec-template.md untouched (single-curly comment hint stays as
documentation).
Skill-prose cleanups bundled in
- Remove dead step-file frontmatter: empty-string variable declarations
(spec_file, story_key, diff_output, review_mode) in quick-dev step-01
and code-review step-01; empty --- --- blocks in step-03 and step-05;
the specLoopIteration counter init moved from step-04 frontmatter into
the step body where first-entry vs loopback semantics are explicit.
- Unify the language rule across all six quick-dev step files plus
workflow.md.
Tooling
- tools/validate-skills.js: add TPL-01 rule. Files whose name contains
"template" must not contain compile-time {{.var}} substitutions.
Template files seed durable, version-controlled artifacts that
execute on other machines; baking a value at render time would
freeze a machine-local path into every downstream artifact.
- tools/validate-file-refs.js: add render/ to INSTALL_ONLY_PATHS so
the validator recognizes the runtime-generated buffer.
- tools/skill-validator.md: document TPL-01; deterministic rule count
bumped from 14 to 15.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The Blind Hunter subagent intentionally has no tool access, but the
review steps never said how {diff_output} should be delivered. Orchestrators
typically wrote the diff to a temp file and asked the agent to read it,
which silently fails (0 tool calls), and the 10-finding requirement then
pushes the agent to hallucinate findings against code it never saw.
State explicitly that the diff is passed inline in the subagent prompt,
in both bmad-code-review step 2 and bmad-quick-dev step 4.
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
Prevent review subagents from being downgraded to cheaper models.
Rare findings from the Acceptance Auditor tend to be high-severity,
and research shows smaller models have worse recall on rare-event
detection.
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* refactor: consolidate agents into phase-based skill directories
Remove separate agent/workflow/skill directories (src/bmm/agents,
src/bmm/workflows, src/core/skills, src/utility/agent-components) and
reorganize all content into phase-based structures under src/bmm-skills
(1-analysis, 2-plan-workflows, 3-solutioning, 4-implementation) and
src/core-skills. Eliminates the agent/skill distinction by treating
agents as skills within their workflow phase.
* fix: update broken file references to use new bmm-skills paths
* docs: update all references for unified bmad-quick-dev workflow
Remove all references to the old separate bmad-quick-spec and
bmad-quick-dev-new-preview workflows. The new bmad-quick-dev is a
unified workflow that handles intent clarification, planning,
implementation, review, and presentation in a single run.
Updated files across English docs, Chinese translations, source
skill manifests, website diagram, and build tooling.
Alex Verkhovsky
PinkyD
Brian