Content
67%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is a well-structured, mostly actionable forwarding shim: concrete commands, a clear 3-step sequence, and a clean stop boundary. Its main weakness is an over-long catalog of the target skill's features that pads the intro beyond what a shim requires.
Suggestions
Trim the intro to one line stating the consolidation and where to migrate; drop the full bmad-deep-recon feature list, which belongs on that skill, not this shim.
Add a brief verification cue (e.g., confirm the resolved customization values are non-empty before invoking bmad-deep-recon) to give the workflow an explicit checkpoint.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The activation steps are lean, but the intro paragraph enumerates bmad-deep-recon's full surface ('drafts deep-research prompts... processes finished reports... runs research directly, across market, domain, technical, competitive...') which is padding a shim does not need. | 3 / 5 |
Actionability | Steps are concrete and executable: an exact resolve_customization.py command with arguments, the fields to pass verbatim, and the directive to invoke bmad-deep-recon with research type 'technical'. | 4 / 5 |
Workflow Clarity | The three-step On Activation sequence is clearly ordered and ends with an explicit boundary ('bmad-deep-recon takes the workflow from here — do not execute any further steps'), though there is no explicit validation checkpoint. | 4 / 5 |
Progressive Disclosure | The ~17-line body is well organized into an intro plus an On Activation section with no unnecessary external references; as a simple single-purpose shim it is appropriately flat, just missing a touch of crispness for a 5. | 4 / 5 |
Total | 15 / 20 Passed |