Content
82%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 strong, highly actionable body with concrete commands, specific thresholds, and a clear sequenced workflow grounded in cited operational canon. Its main weaknesses are minor redundancy in the repeated forcing-question discipline, the absence of an explicit validate→fix→retry loop on script outputs, and bundle files that are referenced but not actually present.
Suggestions
Conciseness: state the forcing-question discipline ('one at a time, do not skip ahead, answers written down') once in the library intro and remove the two repetitions in the Workflow step and closing line.
Progressive disclosure: the referenced scripts/, references/, and assets/ files are not present in the bundle — add them so the signaled one-level-deep navigation actually resolves.
Workflow clarity: add an explicit validate→fix→retry loop for script outputs (e.g., 'if P(breach at P90) > 10%, re-run capacity_modeler.py with higher FTE and re-check') to close the feedback-loop gap.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense and operational throughout, assuming Claude's competence (it cites Erlang-C, Little's Law, Reinertsen without explaining them), but the discipline phrases ('Do not skip ahead. Answers must be written down') repeat three times and the Q1-Q7 forcing-question format is elaborated beyond strict necessity — minor instances that could be trimmed. Not a 5 because not every token earns its place; not a 3 because there is no padding explaining concepts Claude already knows. | 4 / 5 |
Actionability | Provides copy-paste-ready commands ('python3 scripts/capacity_modeler.py --sample') with concrete flags (--profile, --input, --output, --sample, --help) and specific numeric thresholds ('>85% sustained', 'Spread >30 percentage points', 'span of control crosses 7 ICs/manager', 'Q1 35%, Q4 15%'), covering the common cases fully. | 5 / 5 |
Workflow Clarity | A clear 5-step sequence (Intake → Model → Flag risk → Sequence → Forcing questions) with real checkpoints ('If you only have averages, stop and pull the distribution', 'fix that before hiring', forcing-question gate before committing), but it lacks the explicit validate→fix→retry feedback loop shown in the score-5 anchor. Not a 3 because checkpoints are present and the skill is analytical rather than destructive, so the batch/destruction cap does not apply. | 4 / 5 |
Progressive Disclosure | Well-organized with clearly signaled one-level-deep references split across Scripts, References, and Assets sections (e.g. 'references/queueing_theory_canon.md — ... 8 sources. The math.'), but the referenced bundle files do not actually exist on disk (references/, scripts/, assets/ are absent), so the signaled navigation resolves to dead ends — a real organization gap that keeps it off 5. | 4 / 5 |
Total | 17 / 20 Passed |