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create-x-content

Draft voice-tuned X (Twitter) post variants from a free-form brief. Reads a personal voice guide (generated via generate-voice-guide), produces 2–5 variants with distinct framings (simple-howto, problem-first, hype, mechanism-breakdown, etc.), and self-checks against the voice guide's banned phrases before returning.

64

Quality

78%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./skills/content/capabilities/create-x-content/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

81%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 well-structured and actionable, with a strong validation-gated workflow and clean single-file organization. The main improvements are trimming overlap between the Tips/Examples and workflow sections and adding one fully-worked example variant.

Suggestions

Add one complete worked example showing a finished variant body plus its frontmatter, so the output format is unambiguous.

Trim repetition between the Tips/Examples sections and the workflow phases to improve token efficiency.

Consider moving the eight-row framing table into a reference file to keep SKILL.md a leaner overview.

DimensionReasoningScore

Conciseness

Mostly efficient and assumes Claude's competence (no padding about what Twitter/X is), though the Tips and Examples sections partially restate guidance already covered in the workflow and could be trimmed.

4 / 5

Actionability

Provides concrete, executable guidance — a richness-to-variant-count rule, a framing table with structure and when-to-use, a frontmatter schema, and file-naming examples — with the minor gap of no sample finished post body.

4 / 5

Workflow Clarity

A clear six-phase sequence with an explicit validation checkpoint in Phase 4 (banned-phrase, length, meat, and voice-match checks) and a feedback loop (rewrite attempts, then drop the variant) for a batch operation.

5 / 5

Progressive Disclosure

Well-organized single-file structure with clear section headers and no nested references; the file is somewhat long and the framing reference could be split out, keeping it just below the ideal one-level split.

4 / 5

Total

17

/

20

Passed

Description

75%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 specific and distinctive, naming concrete actions and a clear niche, but it omits an explicit 'Use when...' trigger clause, which limits its completeness. Adding concrete trigger phrases would lift the completeness and trigger-term scores.

Suggestions

Add an explicit 'Use when...' clause naming concrete triggers, e.g. 'Use when the user wants to draft X/Twitter posts in their own voice or asks for tweet variants from a brief.'

Include natural synonyms users actually say ('tweets', 'threads', 'social posts') to broaden trigger-term coverage.

Keep the current action list — it already gives comprehensive, specific coverage of what the skill does.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions — 'Draft voice-tuned X post variants', 'Reads a personal voice guide', 'produces 2–5 variants with distinct framings', 'self-checks against the voice guide's banned phrases' — with comprehensive coverage.

5 / 5

Completeness

Has a clear 'what' but no explicit 'Use when...' trigger clause; the 'when' is only weakly implied, which per the rubric caps completeness at 3.

3 / 5

Trigger Term Quality

Good natural-term coverage ('X (Twitter) post variants', 'voice guide', 'framings', 'banned phrases'), but missing common synonyms users might actually say like 'tweets', 'threads', or 'social media posts'.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche — voice-tuned X/Twitter post drafting tied to a personal voice guide — with distinct triggers and minimal overlap with other skills.

5 / 5

Total

17

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
gooseworks-ai/goose-skills
Reviewed

Table of Contents

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