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x-longform-post

Write long-form X (Twitter) posts and threads in a founder/CEO voice. Use when drafting X articles, long tweets, thought leadership threads, or viral content. Produces contrarian, data-backed posts with ASCII diagrams and code block visuals. Includes mandatory AI humanizer pass (24-pattern detector) before finalizing.

64

Quality

75%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./x-longform-post/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

67%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.

A well-organized, actionable skill body with concrete templates, a clear post structure, and a real feedback loop. Slight verbosity and the missing humanizer.md bundle reference keep it from the top tier.

Suggestions

Trim rhetorical filler like 'not a content team, not a bot' and 'theater with better fonts' to tighten token efficiency.

Avoid restating X formatting basics Claude already knows (markdown-like formatting, code blocks render in monospace).

Verify the ../content-ops/experts/humanizer.md reference resolves to an actual bundle file, or inline the scoring rubric instead of pointing outside the skill.

DimensionReasoningScore

Conciseness

Mostly efficient but includes some padding (e.g., 'Every post should feel like a real person wrote it — not a content team, not a bot', 'Cleverness without distribution is theater with better fonts') and explains formatting concepts Claude already knows.

3 / 5

Actionability

Provides concrete executable guidance: ASCII box-drawing templates, labeled diagram types, and a 24-item checklist, with only minor gaps (no fully copy-paste ready full-post example).

4 / 5

Workflow Clarity

Clear sequence (Hook→Setup→Sections→ASCII→Truth→Payoff) plus a before/after analytics feedback loop with explicit validation/patch/rollback steps; minor gaps in how sections map to the humanizer pass ordering.

4 / 5

Progressive Disclosure

Well-structured sections with one-level-deep references to real bundle files (references/founder-voice.md, references/voice-template.md) and an external humanizer expert path; minor gaps in inline navigation clarity.

4 / 5

Total

15

/

20

Passed

Description

83%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.

A strong, specific description with clear what/when structure and concrete trigger phrases. Minor improvements possible via added synonyms (Twitter, .txt) and slightly broader action coverage.

Suggestions

Add synonym triggers like 'Twitter threads' or 'X threads' alongside 'thought leadership threads' for broader natural-language coverage.

Mention thread-splitting behavior in the what-clause to round out the action coverage.

DimensionReasoningScore

Specificity

Lists several concrete actions ('drafting X articles, long tweets, thought leadership threads, or viral content', 'contrarian, data-backed posts with ASCII diagrams and code block visuals', 'AI humanizer pass (24-pattern detector)') with only minor coverage gaps around thread-splitting.

4 / 5

Completeness

Explicitly answers what ('Write long-form X posts and threads... Produces contrarian, data-backed posts... AI humanizer pass') and when ('Use when drafting X articles, long tweets, thought leadership threads, or viral content') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Includes natural user-facing terms ('X articles', 'long tweets', 'thought leadership threads', 'viral content') but lacks synonyms like 'Twitter threads' and the .txt/file-extension style variations.

4 / 5

Distinctiveness Conflict Risk

The niche (long-form X content with mandatory ASCII diagrams and humanizer pass) is mostly distinct from generic writing skills, with only minor overlap risk with general copywriting skills.

4 / 5

Total

17

/

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
ericosiu/ai-marketing-skills
Reviewed

Table of Contents

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