Content
75%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 body is a well-structured, command-dense orchestration guide with a clear startup sequence, explicit decision criteria between the two planning options, and a validation step before launching agents. It consistently lands just below excellent: Option A's undefined $TASK_DIR, absent error-recovery loops, and some duplicated/user-facing content keep every dimension at 4.
Suggestions
In Option A, show how to capture the task directory that plan.py outputs (e.g. an assignment to TASK_DIR) so the subsequent start.py "$TASK_DIR" command is actually executable.
Add a brief error-recovery loop after validation and plan.py — e.g. what to fix and re-run when task.py validate fails, and what to do when plan.py rejects a requirement as unclear or too large.
Trim duplication and user-facing content: merge the Core Rules restatement of the role definition, and move the User Available Skills table and Monitoring Commands (which are for the user, not the AI) out of the AI-facing body or condense them.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is command-first and lean — full bash invocations with no explanation of concepts Claude already knows — but contains minor trimmable redundancy: "You don't write code directly" in Role Definition is restated as "Don't write code directly" in Core Rules, and the [AI]/[USER] marker table plus user-facing tables add overhead. This matches the 4-anchor ("efficient; minor instances that could be trimmed") rather than 5, since not every section earns its place. | 4 / 5 |
Actionability | Mostly executable, copy-paste-ready commands (task.py create/init-context/set-branch/set-scope/add-context/validate, multi_agent/plan.py and start.py with concrete flags), with one notable gap: Option A instructs `start.py "$TASK_DIR"` but never shows how TASK_DIR is assigned after plan.py runs. This fits the 4-anchor ("concrete code or commands with minor gaps"), not 5 ("fully executable… specific examples cover the common cases"). | 4 / 5 |
Workflow Clarity | The sequence is clear: a 4-step startup flow, explicit decision criteria for Option A vs B, and Option B includes a validation checkpoint ("python3 ./.trellis/scripts/task.py validate \"$TASK_DIR\"") before starting. However, there is no error-recovery feedback loop (what to do when validate fails) and no guidance for when plan.py "may reject if unclear/too large", so it matches the 4-anchor rather than 5 ("explicit validation steps; feedback loops for error recovery"). | 4 / 5 |
Progressive Disclosure | There are no bundle files (references/, scripts/, assets/ are absent) and the skill is a single well-organized file with clear section headers (Startup Flow, Planning, Monitoring, Core Rules), so navigation is easy. It sits at the 4-anchor ("good structure; most content appropriately placed; minor organization gaps") rather than 5 because user-facing content (the User Available Skills table and Monitoring Commands) is inlined in an AI-facing skill and the file is ~190 lines rather than a compact overview pointing elsewhere. | 4 / 5 |
Total | 16 / 20 Passed |