Content
77%Reviews 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 forecast-review workflow with a concrete output template and validation checkpoints. Its main weakness is verbosity from repeated guardrails and a long monolithic body rather than progressive split into references.
Suggestions
Consolidate the read-only guardrail into one Rules-section statement instead of restating it in Context-Gathering, Next Steps to avoid, Automation Offer Guard, and Rules.
Move the detailed automation prompt block and matching-automation detection logic into a reference file, keeping SKILL.md as an overview that links to it.
Tighten multi-clause guardrail sentences (e.g., step 1's scope/truth/convention list) into shorter bulleted conditions to reduce token load.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and it assumes Claude's competence (no generic forecast primers), but the read-only guardrail ("never changes forecast categories, close dates, CRM records, tasks, or messages") is restated at least four times and several guardrail sentences could be tightened. | 2 / 3 |
Actionability | Provides copy-paste-ready guidance: exact scope options to offer, low/moderate/high risk labels, a full markdown output template, and a concrete automation prompt block with field names and enum values that match the bundled schema. | 3 / 3 |
Workflow Clarity | A clearly sequenced four-step workflow (resolve scope, build truth set, add bounded evidence, evaluate posture) with explicit checkpoints (bounded candidate pass, downgrade-to-risk-only on thin data, stop-and-ask) and a Failure Handling section. | 3 / 3 |
Progressive Disclosure | The single reference (request-schema.yaml) is well-signaled and one level deep, but the ~187-line body is largely a monolithic wall of inline guardrails and output detail that could be split into reference files. | 2 / 3 |
Total | 10 / 12 Passed |