Content
88%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.
A highly actionable, well-sequenced orchestrator body with executable commands and strong validation gates. The main lever is tightening the forcing-question and hard-rules sections, plus ensuring the referenced bundle files actually ship with the skill.
Suggestions
Trim the forcing-question library to one canonical example per lane and compress the hard-rules list so each rule is a single line, cutting tokens without losing the governance intent.
Ship the referenced `references/*.md` (flow_forecasting_canon, agentic_delivery_governance, pm_loop_playbook) and `scripts/*.py` (pm_goal_router, jira_snapshot_bridge, delivery_loop_gate) inside the skill bundle so the one-level-deep references resolve.
Clarify which references are part of this skill's bundle versus sibling repo paths (e.g. `engineering/agent-harness`, `../scrum-master/`) so navigation between the orchestrator and its dependencies is unambiguous.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean and command-dense with no explaining of concepts Claude already knows, but the forcing-question library and the six-item hard-rules list run long and could be trimmed without losing clarity. | 4 / 5 |
Actionability | Copy-paste-ready commands throughout — `python3 scripts/pm_goal_router.py --text "<the goal>" --output json`, the bridge commands with `--to flow`/`--forecast N`, and `delivery_loop_gate.py --mode plan|close` with documented exit codes — fully executable and covering the common cases. | 5 / 5 |
Workflow Clarity | The Observe→Choose→Act→Verify→Record loop is explicitly sequenced with validation checkpoints (gate exit codes 2/4, "Never adjudicate your own verification", enumerated terminal states), satisfying the destructive/batch feedback-loop requirement rather than capping at 3. | 5 / 5 |
Progressive Disclosure | Well-organized overview with a clearly signaled one-level-deep References section pointing to canon/governance/playbook files, but the referenced `references/*.md` and `scripts/*.py` files are not present in the review bundle to verify, and several paths point to sibling skills/harness outside this skill's own bundle. | 4 / 5 |
Total | 18 / 20 Passed |