Conciseness

The body is dense and efficient — tables, exact commands, numeric limits ('≤ 30 次 web_search', '单次搜索只取前 5 条') with no filler explaining concepts Claude already knows. Minor trimmable redundancy remains: the AI-friendly concept is stated in the Overview and again at length in its dedicated section, and the '为什么不直接并入主排名' rationale runs three bullets where one would do.

Actionability

Fully executable guidance throughout: concrete search commands ('mmx web_search "site:zhipin.com <关键词>"'), a copy-paste-ready script invocation with all flags and paths, a concrete profile JSON example, a fully specified output path ('<cwd>/markdown/<YYYY-MM-DD>_job-recommendations.md'), and per-record extraction fields. All referenced bundle files (platforms.md, profile_schema.md, output_template.md, match_jobs.py) exist and match.

Workflow Clarity

A 7-step numbered workflow with explicit ordering ('抓取完成后,先调用打分脚本,再渲染报告'), a failure/degradation table covering four failure modes with concrete handling, an end-of-report self-check checklist (scrape time, platform count, filtered-reason distribution), and an explicit warning path for insufficient samples — validation checkpoints and feedback handling are present for this batch operation.

Progressive Disclosure

SKILL.md is a genuine overview pointing to three one-level-deep references (platforms.md, profile_schema.md, output_template.md) and one script, all clearly signaled with links at point of use plus a Resources section, and all verified to exist. Content is appropriately split — query templates, schema, and report template all live in their own files rather than inline.

Specificity

The description lists multiple concrete actions with comprehensive coverage: '从招聘平台...抓取招聘信息' (named platforms), '匹配适合的长期雇佣或临时工机会', '按性价比(加权时薪)排序', '输出 markdown 推荐报告到当前项目的 markdown 目录' — scrape, match, rank, and write are all specific and stated in third person.

Completeness

Both 'what' (scrape postings, match against skills/location/time/salary/preference inputs, sort by weighted hourly rate, write a markdown report) and an explicit 'when' clause ('当用户提出...等需求时触发') with concrete trigger phrases are clearly and explicitly present.

Trigger Term Quality

Good natural-phrase coverage: '找工作', '匹配岗位', '接私活', '找兼职', '招聘推荐', '什么活适合我' includes colloquial variants users would actually say. A few common natural terms are still missing (e.g. '求职', '副业', '兼职信息'), so it does not fully reach the comprehensive-with-synonyms anchor of 5.

Distinctiveness Conflict Risk

Clear niche — Chinese-platform part-time/gig matching with a weighted-hourly-rate ranking and a markdown report artifact — with distinct, unlikely-to-collide triggers. Minimal overlap risk with adjacent skills (e.g. generic web research).