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multi-platform-launch

When the user wants to launch a product across multiple platforms, plan a Product Hunt launch, build a waitlist, or execute a multi-channel launch strategy. Also use when the user mentions 'product launch,' 'Product Hunt,' 'launch strategy,' 'waitlist,' 'beta launch,' 'BetaList,' 'Hacker News,' 'launch day,' 'AppSumo,' 'multi-channel launch.' This skill covers multi-platform launch execution from pre-launch through post-launch optimization. Do NOT use for technical implementation, code review, or software architecture.

74

Quality

91%

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

82%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is a strong, actionable launch playbook dense with current, non-obvious platform data, timing specifics, and benchmarks, supported by well-signaled reference files. Its main weaknesses are mild: inlined time-sensitive statements that lack a deprecated-section home and some long landscape tables better suited to the references.

Suggestions

Move hard 2025-2026 dates and the G2/Capterra acquisition note into a clearly marked 'Currency / caveats' or deprecated-style subsection so time-sensitive claims don't penalize conciseness and age visibly.

Relocate the large platform landscape tables (Discovery/Developer/Indie/AI/Social/Content/Paid) into a reference file, keeping a condensed summary inline to tighten SKILL.md and sharpen progressive disclosure.

Surface the quick-reference.md pointer earlier (e.g. in a 'Before Starting / checklists' callout) rather than after Troubleshooting, and frame key decision gates (title testing, hn.algolia check, 30-min comment SLA) as explicit validate-checkpoints in the launch sequence.

DimensionReasoningScore

Conciseness

Mostly high-value, non-obvious domain data (2025-2026 platform specifics, timing windows, benchmarks) rather than concepts Claude already knows, but inlined time-sensitive claims ('2025-2026', 'G2 acquiring Capterra... Q1 2026') and some table redundancy with references keep it from fully lean.

4 / 5

Actionability

Highly concrete and directly applicable guidance — exact times ('12:01 AM PT', '8:00-10:00 AM PT'), title char counts, worked title formulas, referral reward tiers, named tools with URLs, and benchmark ranges cover the common launch cases copy-paste ready.

5 / 5

Workflow Clarity

A clearly sequenced Week -4 to Week +4 framework with timing detail and a troubleshooting cause/fix section, but explicit validate-checkpoints in the main sequence are scattered rather than structured (e.g. 'Test with 5-10 people', 'Check hn.algolia.com before posting' appear but aren't framed as checkpoints).

4 / 5

Progressive Disclosure

Two real one-level-deep references (directories-timing-mistakes.md, quick-reference.md) are clearly signaled with content context, but the long platform landscape tables are inlined in SKILL.md when they could live partly in references, and the quick-reference pointer is somewhat buried after troubleshooting.

4 / 5

Total

17

/

20

Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is exemplary: it names concrete capabilities, provides a comprehensive list of natural trigger terms, explicitly answers both what and when, and draws a clear negative boundary that distinguishes it from adjacent skills. No meaningful gaps.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'plan a Product Hunt launch, build a waitlist, or execute a multi-channel launch strategy' plus lifecycle coverage 'from pre-launch through post-launch optimization' — giving comprehensive, non-generic capability coverage.

5 / 5

Completeness

Explicitly answers both 'what' ('covers multi-platform launch execution from pre-launch through post-launch optimization') and 'when' ('When the user wants to...', 'Also use when the user mentions...') with concrete trigger phrases and a negative boundary.

5 / 5

Trigger Term Quality

Comprehensive natural trigger terms including platform names users actually say — 'product launch,' 'Product Hunt,' 'BetaList,' 'Hacker News,' 'AppSumo,' 'waitlist,' 'launch day' — with only minor synonyms (e.g. 'Show HN') absent.

5 / 5

Distinctiveness Conflict Risk

Clear niche (multi-platform product launch) with platform-distinct triggers and an explicit negative boundary ('Do NOT use for technical implementation, code review, or software architecture') minimizing conflict risk.

5 / 5

Total

20

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
tech-leads-club/agent-skills
Reviewed

Table of Contents

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