ai4s-agent

# AI4S Agent (meta-skill) ## Overview Top-level entry point for the AI4S research stack. This skill contains **no work of its own** — its only job is to call four downstream skills in the right order, with the right slug, and reuse intermediate artifacts by path convention. ``` direction → research-explorer → topic topic → literature-survey (60+ real bib, 100+ recommended) topic → experiment-suite (design + code + results + figures) topic → paper-writer (assembles into 200+ cite PDF) ``` Each downstream skill is **already single-stage and self-sufficient**: its agent loads that skill's `SKILL.md` and produces the full final-quality artifact directly. There is no skeleton/enrichment split. This meta-skill only handles ordering, the path convention, and disclosure consistency. ## When to use - User asks for "a paper on X" or "research package on X" and wants the whole stack run end to end. - User wants to compare what each skill produces — useful for developing or debugging the pipeline itself. ## When NOT to use - User wants to run only one stage (e.g. only the literature survey) → invoke that skill directly. - User wants only topic exploration → invoke `research-explorer` directly. ## The slug contract Every skill computes the same slug from the same topic string: ```python import re, hashlib def slug(t): n = re.sub(r'[\s_]+', '-', re.sub(r'[^\w\s-]', '', t.lower().strip())).strip('-')[:40].rstrip('-') h = hashlib.sha1(t.encode()).hexdi...