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.
A well-structured, domain-dense instruction skill with a clear step sequence, explicit checkpoints, and a Done-when contract; as an instruction-only skill the absence of code is not penalized and the guidance is largely actionable. The main costs are systematic cross-skill handoff repetition, an unspecified registry-events.py request format that makes the write steps non-executable as written, and references that point to files outside the bundle.
Suggestions
State each cross-skill handoff (content-amplifier, launch-tier-planner, launch-registry, the three brief owners) exactly once — currently the content-amplifier/launch-tier-planner boundaries are repeated in the scope guard, Instructions step 3, Reference Materials, and Next Best Skill, which could be consolidated into the Reference Materials section alone.
Show the exact `operation: propose` request format for registry-events.py (a one-line NDJSON example) or reference a bundled file that documents it, so the launches.ndjson and claims.ndjson write steps are executable without guessing the payload shape.
Trim the RAMP positioning prose in the intro and Reference Materials to the single sentence that changes behavior (the launch-stacking guardrail linkage), and verify the referenced paths (ramp-benchmark.md, CONNECTORS.md, SECURITY.md, registry-events.py) resolve from the skill's installed location.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient — no explanations of concepts Claude already knows, and each step carries real instruction — but noticeably repeatable: the content-amplifier and launch-tier-planner handoffs are stated four times (intro/scope guard, step 3, Reference Materials, Next Best Skill), and launch-registry routing recurs across five sections. This fits the 3 anchor ('mostly efficient but could be tightened') better than the 4 anchor, whose over-explanation is only minor; the cross-skill repetition is systematic, not incidental. | 3 / 5 |
Actionability | Concrete, executable guidance throughout: a three-way announcement-tier rule ("major = full-channel moment, medium = targeted announcement, minor = changelog-only"), specific save paths ("memory/launch/momentum-planner/YYYY-MM-DD-<launch-slug>-momentum-plan.md"), relaunch legitimacy criteria, and Quick Start prompts with fill-in slots. It falls short of the 5 anchor because the writes are not copy-paste ready: the "authorized operation: propose request to registry-events.py" format is never shown, so the two event-write steps require guessing the request shape. | 4 / 5 |
Workflow Clarity | A clear 9-step sequence with several explicit checkpoints — "If state is absent, ask rather than assuming", "Agree the tier of each named upcoming release with the user", "mark the spacing check NEEDS_INPUT", "ask 'Save these results for future sessions?' first" — plus a "Done when" checklist. It misses the 5 anchor because there is no error-recovery loop for the external dependencies (what to do when a registry query or propose request fails or is rejected is unspecified). | 4 / 5 |
Progressive Disclosure | Good structure: a single well-organized SKILL.md with clearly signaled, annotated, one-level-deep references ("[ramp-benchmark.md](...) — RAMP framework; ... feeds the P momentum sub-item"). No bundle files exist in references/, scripts/, or assets/, and every referenced path (../../../references/..., ../../../CONNECTORS.md, registry-events.py, scripts/connectors/hn.py) points outside the bundle, so the references cannot be verified against actual files — a real organization gap that keeps this below the 5 anchor. | 4 / 5 |
Total | 15 / 20 Passed |