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x-mastery-mentor

$10K/hr级X/Twitter运营导师。基于Nicolas Cole、Dickie Bush、Sahil Bloom、Justin Welsh、 Dan Koe、Alex Hormozi六位顶级创作者的方法论 + X开源算法深度分析 + AI/科技赛道专精策略, 提炼6个核心心智模型、10条决策启发式、完整的选题-写作-增长操作手册。 通用方法论为底座,AI/科技赛道为专精。 当用户提到「X运营」「推特」「Twitter」「怎么写推文」「怎么涨粉」「X策略」「推特选题」「tweet」「thread」「X算法」时使用。 即使用户只是说「这条推文怎么写」「帮我想个X内容」「推特增长」「发推」「write a tweet」「X account」「grow on X」也应触发。

74

Quality

92%

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SKILL.md
Quality
Evals
Security

Quality

Content

85%Weight 40%Scale 1-3

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

A well-structured, highly actionable operational skill with strong workflow sequencing, checkpoints, and clean one-level-deep progressive disclosure backed by real bundle files. The main weakness is conciseness: several algorithm rules are restated across the scenario, STOP, and anti-pattern sections and could be consolidated.

Suggestions

Consolidate the repeated algorithm rules (external-link placement, hashtag limits, 280-char cap) into one canonical location and cross-reference it from 场景A, the STOP checkpoint, and 反例黑名单 to remove the triple restatement.

Consider trimming the「$10K/hr级」framing and creator name list in the description, and similarly reduce any duplicated guidance in the body, to reclaim context budget.

The 实测微例 examples are useful but duplicate mechanics already stated in the scenarios; keep one or the other per rule to tighten the body.

DimensionReasoningScore

Conciseness

Mostly efficient and largely earned content (X algorithm specifics, creator methodologies Claude would not know), but several rules are restated across sections — external-link placement appears in 场景A, the STOP checkpoint, and 反例黑名单 #1; the 280-char / hashtag limits are likewise repeated — so it could be tightened. Not a 3 because the redundancy competes with the context budget; not a 1 because there is no padding explaining concepts Claude already knows.

2 / 3

Actionability

Highly concrete and executable: numbered Step flows, specific char limits「短推文控制120-130字符」「Thread 单条 ≤280」, named hook formulas (好奇缺口/可信度锚点/Value Equation), named tool fallbacks (computer-use → claude-in-chrome → manual), concrete file paths (user-data/{username}/tweets_{YYYYMMDD}.json), and baseline→round1 worked examples. Copy-paste-ready guidance throughout.

3 / 3

Workflow Clarity

Multi-step processes are explicitly sequenced (Step 1–5 per scenario) with 【检查点】 gates, a dedicated STOP section of required pre-output questions, and a failure-mode fallback tree providing feedback loops (tool failure → switch method, validation gap → return to Step). Matches the clear-sequence-with-validation-and-checklists anchor.

3 / 3

Progressive Disclosure

SKILL.md is a clear overview with a problem-routing table mapping each query type to specific references, an explicit loading principle「只加载当前场景需要的reference,不要一次全读」, and a Reference索引 table; all referenced files (writing-workshop, algorithm-niche, growth-monetization, quality-analytics, mental-models-heuristics, and the 6 research/*.md) verified to exist. The research/ tier is a justified, clearly-gated second level (「仅在需要追溯来源时读取」), not indirection.

3 / 3

Total

11

/

12

Passed

Description

100%Weight 40%Scale 1-3

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 explicit what/when structure and rich natural trigger terms in both Chinese and English. The only weakness is the「$10K/hr级」marketing lead-in, which is minor over-claim fluff rather than a substantive gap.

DimensionReasoningScore

Specificity

Lists multiple concrete capabilities — 「选题策略、推文写作、Thread结构、增长引擎、算法利用、AI赛道内容打法、变现路径、账号诊断」 and the deliverables「6个核心心智模型、10条决策启发式、完整的选题-写作-增长操作手册」 — matching the multiple-specific-actions anchor. The「$10K/hr级」lead-in is mild marketing fluff but is outweighed by the concrete action list, so it does not drop a level.

3 / 3

Completeness

Answers both what (X/Twitter运营导师 + methodology + 操作手册) and when with an explicit trigger clause「当用户提到…时使用」 plus「即使用户只是说…也应触发」, matching the explicit what-and-when anchor.

3 / 3

Trigger Term Quality

Broad coverage of terms users naturally say — 「X运营」「推特」「Twitter」「怎么写推文」「怎么涨粉」「tweet」「thread」「发推」「write a tweet」「grow on X」 — including both Chinese and English variants, matching the good-coverage anchor.

3 / 3

Distinctiveness Conflict Risk

A clear X/Twitter + AI/科技赛道 niche with platform-specific triggers (推特/X算法/thread) that are unlikely to fire for unrelated skills, matching the clear-niche-distinct-triggers anchor.

3 / 3

Total

12

/

12

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

referenced_paths_exist

Referenced path issues: 6 deeper-than-1-level

Warning

Total

15

/

16

Passed

Repository
alchaincyf/x-mentor-skill
Reviewed

Table of Contents

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