ai4s-agent
Use when the user wants an end-to-end AI4S research pipeline — broad direction or specific topic in, full research package out (exploration + literature survey + experiment + paper). Meta-skill that chains the four downstream skills in order. Pure markdown, no Python runtime.
Profile →npx skills add ai4s-research/ai4s-skills --skill ai4s-agent --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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.
- Overview
- When to use
- When NOT to use
- The slug contract
- Workflow
- Step 1 — Understand the user's starting point
- Step 2 — Explore (only if input was a direction)
- Step 3 — Literature survey
- Step 4 — Experiment package
- Step 5 — Paper
- Step 6 — Deliver
- Disclosure consistency
- Rules
What does the ai4s-agent skill do?
Use when the user wants an end-to-end AI4S research pipeline — broad direction or specific topic in, full research package out (exploration + literature survey + experiment + paper). Meta-skill that chains the four downstream skills in order. Pure markdown, no Python runtime.
How do I install it?
Run `npx skills add ai4s-research/ai4s-skills --skill ai4s-agent --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ai4s-research/ai4s-skills, a repository with 163 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.