tdg-personal/crosspost
Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.
89
89%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Quality
Discovery
89%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a solid description that clearly identifies its niche (cross-platform social content distribution), names specific platforms, and includes an explicit 'Use when' trigger clause. Its main weakness is that the specific actions are somewhat thin — it describes the approach (adapts content, never posts identical) more than concrete capabilities (e.g., drafting posts, generating hashtags, adjusting character limits). Overall it performs well for skill selection purposes.
Suggestions
Add more concrete actions such as 'drafts platform-specific posts, adjusts character limits, generates relevant hashtags, and tailors tone per audience' to improve specificity.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (multi-platform content distribution) and lists specific platforms (X, LinkedIn, Threads, Bluesky), and mentions adapting content per platform and avoiding identical cross-posts. However, it doesn't list multiple concrete actions beyond 'distributes' and 'adapts' — e.g., it doesn't specify drafting posts, scheduling, formatting, or generating hashtags. | 2 / 3 |
Completeness | Clearly answers both 'what' (multi-platform content distribution, adapts per platform, never posts identical content) and 'when' with an explicit trigger clause: 'Use when the user wants to distribute content across social platforms.' | 3 / 3 |
Trigger Term Quality | Includes strong natural keywords users would say: 'X', 'LinkedIn', 'Threads', 'Bluesky', 'distribute content', 'social platforms', and 'cross-platform'. These cover the main terms a user would naturally use when requesting this kind of task. | 3 / 3 |
Distinctiveness Conflict Risk | The description carves out a clear niche — multi-platform social media distribution across four named platforms with content adaptation. This is unlikely to conflict with generic writing, single-platform social media, or general content creation skills. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured, concise skill that clearly defines crossposting workflows with strong anti-patterns and a quality gate. Its main weakness is the lack of concrete before/after examples showing how a single source transforms into platform-specific variants, which would significantly improve actionability. The voice and tone guidance is excellent, particularly the banned patterns and per-platform constraints that focus on what NOT to do.
Suggestions
Add a concrete before/after example showing one source idea adapted across 2-3 platforms, demonstrating the adaptation principles in practice.
Include a brief example of what the output format actually looks like (e.g., a sample output with primary version, variant, and change notes) to make the output specification more actionable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is lean and efficient throughout. It doesn't explain what crossposting is or how social platforms work—it assumes Claude knows all of that. Every section earns its place with specific, actionable constraints. The banned patterns list is tight and useful. | 3 / 3 |
Actionability | The skill provides clear directional guidance and anti-patterns, but lacks concrete examples of adapted posts. There are no before/after examples showing how a source post transforms across platforms, which would make the guidance much more executable. References to `brand-voice` and `content-engine` skills are helpful but the actual adaptation process remains somewhat abstract. | 2 / 3 |
Workflow Clarity | The workflow is clearly sequenced (source → voice fingerprint → adapt → post order) with a quality gate serving as an explicit validation checkpoint before delivery. The steps are logical and well-ordered, and the quality gate provides a clear feedback loop for catching issues like duplicated copy or padded content. | 3 / 3 |
Progressive Disclosure | The skill is well-organized with clear sections that progress logically. It appropriately references related skills (`brand-voice`, `content-engine`, `x-api`) as one-level-deep pointers without nesting. The content length is appropriate for a single file without needing to split into sub-documents. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
Reviewed
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