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content-engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

70

Quality

85%

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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.

A lean, well-organized instruction skill: every section is directive with no filler, platform rules are specific, and the repurposing flow ends in an explicit quality gate. The main gaps are the absence of any worked input-to-output example and a quality gate that acts as a final checklist rather than a mid-process feedback loop.

Suggestions

Add one short worked example showing a single source claim adapted into an X post and a LinkedIn post, so the quality bar ('platform-native without persona drift') is demonstrable rather than only described.

Turn the Quality Gate into an explicit feedback loop in the Repurposing Flow (e.g., 'if any gate check fails, rewrite that draft and re-check before delivering') so validation is embedded mid-process, not only terminal.

Consider moving the per-platform adaptation rules into references/ files (e.g., references/platforms.md) to keep SKILL.md as a leaner overview, and clarify whether brand-voice/crosspost/x-api are sibling skills with on-disk paths.

DimensionReasoningScore

Conciseness

The body is written in terse, instruction-dense fragments ('open with the strongest claim, artifact, or tension'; 'no praise-stacking, no "journey" filler') with zero explanation of concepts Claude already knows. Every line is directive; there is no padding to trim, matching the lean anchor 5 rather than anchor 4's 'minor instances that could be trimmed'.

5 / 5

Actionability

Guidance is concrete and executable for an instruction-only skill: verbatim banned phrases, 'Extract 3 to 7 atomic claims or scenes', per-platform structural rules, and a deliverables list. It stops short of anchor 5 because there is no worked example (e.g., one source claim rendered as an X post vs. a LinkedIn post) demonstrating the output quality bar.

4 / 5

Workflow Clarity

The Repurposing Flow is a clear 7-step sequence whose final step explicitly ties into the Quality Gate checklist, and Hard Bans supply remediation ('Delete and rewrite any of these'). It is below anchor 5 because the Quality Gate is a terminal checklist rather than an embedded validate-fix-retry loop mid-process.

4 / 5

Progressive Disclosure

No bundle files exist, so everything is one flat, well-sectioned document that is easy to navigate — no buried or nested references. It sits at anchor 4 rather than 5 because the ~126-line body inlines per-platform adaptation rules that could be split into references/ files, and the related-skill pointers (brand-voice, crosspost, x-api) are listed without path context.

4 / 5

Total

17

/

20

Passed

Description

87%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 description: explicit what-and-when structure with an explicit 'Use when...' clause and natural trigger terms covering multiple platforms and content types. Third-person voice is used throughout and there is no fluff. Minor headroom remains in synonym coverage and slightly more concrete per-platform actions.

DimensionReasoningScore

Specificity

The description names the domain and several concrete actions ('Create platform-native content systems', 'repurposed multi-platform campaigns', 'one source asset adapted cleanly across platforms') with only minor gaps. It falls short of anchor 5 because 'content systems' is somewhat abstract and platform coverage is a name list rather than distinct per-platform capabilities.

4 / 5

Completeness

It explicitly answers both questions: a clear 'what' ('Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns') and an explicit 'when' with concrete trigger phrases ('Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms'). This matches the anchor-5 example structure directly.

5 / 5

Trigger Term Quality

Natural phrases users would actually say are well covered: 'social posts, threads, scripts, content calendars' plus platform names (X, LinkedIn, TikTok, YouTube, newsletters) and repurposing language. It is below anchor 5 because common synonyms like 'tweet', 'carousel', 'shorts', or 'cross-post' are missing.

4 / 5

Distinctiveness Conflict Risk

It carves a clear niche — platform-native social content creation and cross-platform repurposing — with triggers (thread, content calendar, source asset adapted) that are unlikely to fire for unrelated skills. Conflict risk with generic writing skills is minimal.

5 / 5

Total

18

/

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
affaan-m/ECC
Reviewed

Table of Contents

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