Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, highly actionable launch strategy skill with excellent workflow sequencing and concrete benchmarks. Its main weakness is length—the extensive platform landscape tables and deep dives on PH, HN, and waitlists make it token-heavy, and some of this content could be moved to the referenced (but unverified) bundle files. The skill excels at giving specific, time-bound, copy-paste-ready launch plans with clear role assignments and performance targets.
Suggestions
Move the detailed platform landscape tables (Discovery, Developer, AI/Tech, Social, Content, Paid platforms) into a reference file like `references/platform-landscape.md` to reduce the main skill's token footprint while keeping the launch sequence and deep dives inline.
Ensure the referenced bundle files (`references/directories-timing-mistakes.md` and `references/quick-reference.md`) actually exist in the bundle, as their absence means content promised to the reader is unavailable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is quite long (~400 lines) with extensive tables covering platform landscapes, benchmarks, and waitlist tactics. While most content is informational rather than explanatory of things Claude already knows, there's significant volume that could be trimmed—e.g., the full platform landscape tables with monthly user counts and domain authority ratings add bulk without being directly actionable. However, it avoids explaining basic concepts and stays focused on launch-specific knowledge. | 2 / 3 |
Actionability | The skill provides highly concrete, specific guidance: exact times to post (12:01 AM PT, 8-10 AM PT), specific title formulas with good/bad examples, exact benchmarks (150-300 upvotes = good), specific tools (LaunchList, Viral Loops), referral tier structures, team role assignments, and step-by-step launch sequences. The examples and troubleshooting sections give clear input→output patterns. | 3 / 3 |
Workflow Clarity | The Launch Sequence Framework provides an excellent multi-week timeline from Week -4 through Week +4 with clear sequencing and dependencies. Launch day has hour-by-hour execution steps. The framework includes implicit validation (ask inputs before building plan, test titles with 5-10 people, check hn.algolia.com before posting). The troubleshooting section provides feedback loops for common failure modes with specific fixes. | 3 / 3 |
Progressive Disclosure | The skill references two external files (`references/directories-timing-mistakes.md` and `references/quick-reference.md`) which is good progressive disclosure design, but no bundle files were provided to verify these exist. The main SKILL.md itself is quite long with substantial inline content (platform tables, PH deep dive, HN deep dive, waitlist playbook) that could arguably be split into reference files. The related skills section is well-organized. | 2 / 3 |
Total | 10 / 12 Passed |