audience-mapper

Use when the user asks to "analyze my target audience", "build an audience profile for influencer targeting", "research a niche community", or "deep-dive a subculture before partnering with creators"; in audience mode produces demographic/psychographic profiles, a platform-priority matrix, named personas, and an influencer-selection criteria set, and in niche mode produces a community map, culture decode (language/norms/taboos), key-voice tiers, a Brand Fit Score, and a phased entry strategy. Not for finding specific creators to contract — use influencer-discovery; not for scoring a shortlist on Suitability — use fit-scorer. 目标受众画像/人群分析 · 细分社群/亚文化调研

Quality

85%

Does it follow best practices?

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Adds up to 20 points to the overall score

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Securityby

Low

Low-risk findings worth noting

Quality

Content

71%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-structured, competent instruction skill body with clear mode sequencing, an evidence-gate validation framework, and good progressive disclosure into templates.md. The main weakness is structural redundancy: the mode deliverables are restated in the intro, the Skill Contract, and the Instructions.

Suggestions

Collapse the triple enumeration of mode deliverables: keep the full list once in the Instructions steps and reference it from the intro and Skill Contract instead of repeating it.

Make per-step validation explicit in the numbered steps (e.g., note the evidence-gate check at each factual step rather than only as a global preamble), pushing workflow_clarity toward 5.

Trim the closing bilingual summary in the description and any restated scope-guard text in the body, since the Scope guard section already states the boundary once.

Dimension	Reasoning	Score
Conciseness	The body is dense and assumes Claude's competence (no basic-concept padding), but the two modes' deliverables are enumerated three times — intro bullets, Skill Contract "Expected output", and the Instructions step list — so it could be tightened.	3 / 5
Actionability	Concrete step names with template anchors (§A2, §N3) and specific deliverables/tier definitions ("Tier 1 leaders, Tier 2 rising stars, Tier 3 micro-voices") give mostly actionable guidance, with the fill-in detail one level deep in templates.md.	4 / 5
Workflow Clarity	A clear numbered sequence per mode plus an evidence gate, a NEEDS_INPUT feedback loop, and a three-item "Done when" checklist provide solid checkpoints, though per-step validation is somewhat implicit rather than fully spelled out.	4 / 5
Progressive Disclosure	Well-organized overview sections with a real one-level-deep reference (references/templates.md, confirmed present) and clearly signaled section anchors; detail is appropriately split out rather than inlined.	5 / 5
	Total	16 / 20 Passed

Description

100%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 explicit trigger phrases, clear per-mode deliverables, and explicit sibling-skill boundaries. It is somewhat long and ends with a redundant bilingual summary, but every clause carries load-bearing information.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions per mode — "demographic/psychographic profiles, a platform-priority matrix, named personas, and an influencer-selection criteria set" and "a community map, culture decode (language/norms/taboos), key-voice tiers, a Brand Fit Score, and a phased entry strategy" — giving comprehensive coverage.	5 / 5
Completeness	Explicitly answers both halves: "Use when the user asks to…" gives concrete triggers, and the per-mode deliverable enumerations give a clear what.	5 / 5
Trigger Term Quality	Four natural user-quoted trigger phrases ("analyze my target audience", "build an audience profile for influencer targeting", "research a niche community", "deep-dive a subculture before partnering with creators") cover the main intents a user would voice.	5 / 5
Distinctiveness Conflict Risk	Explicit negative boundaries ("Not for finding specific creators to contract — use influencer-discovery; not for scoring a shortlist on Suitability — use fit-scorer") make the niche distinct with minimal conflict risk.	5 / 5
	Total	20 / 20 Passed

Validation

81%

Warnings & errors only

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

Validation — 13 / 16 Passed

Validation for skill structure

Criteria	Description	Result
metadata_field	'metadata' should map string keys to string values	Warning
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning
relative_links	Relative link issues: 22 suspicious	Warning

	Total	13 / 16 Passed

Repository: aaron-he-zhu/aaron-marketing-skills
Path: influencer/scout/audience-mapper/SKILL.md
Commit: 888dd38

Reviewed: 6 days ago

Table of Contents

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