ARIS Agent Guide
Description
> **For AI agents reading this repo.** If you are a human, see [README.md](README.md). ARIS is a research harness: composable Markdown skills that orchestrate the ML research lifecycle through cross-m
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
Repository README
This is the README for wanshuiyin/Auto-claude-code-research-in-sleep, shared by 4 entries
in this directory. It describes the repository, not this entry specifically.
ARIS Agent Guide
**For AI agents reading this repo.** If you are a human, see [README.md](README.md).
ARIS is a research harness: composable Markdown skills that orchestrate the ML research lifecycle through cross-model adversarial collaboration.
How to Invoke Skills
**Claude Code / Cursor / Trae:**
/skill-name "arguments" — key: value, key2: value2
**Codex CLI:**
/skill-name "arguments" — key: value
Codex skills are in `skills/skills-codex/`.
Common Parameters
Every skill accepts:
— effort: lite | balanced | max | beast # work intensity (default: balanced)
— human checkpoint: true | false # pause for approval (default: false)
— AUTO_PROCEED: true | false # auto-continue at gates (default: true)
Workflow-specific:
— difficulty: medium | hard | nightmare # reviewer adversarial level
— venue: ICLR | NeurIPS | ICML | ... # target venue
— sources: web, zotero, deepxiv, ... # literature sources
— gpu: local | remote | vast | modal # GPU backend
Parameters pass through workflow chains automatically.
Workflow Index
Full Pipeline
/research-pipeline "direction" → W1 → W1.5 → W2 → W3
Individual Workflows
| Workflow | Invoke | Input | Output | When to use |
|---|---|---|---|---|
| W1: Idea Discovery | /idea-discovery "direction" |
research direction | IDEA_REPORT.md, EXPERIMENT_PLAN.md | Starting new research |
| W1.5: Experiment Bridge | /experiment-bridge |
EXPERIMENT_PLAN.md | running code, EXPERIMENT_LOG.md | Have a plan, need to implement |
| W2: Auto Review | /auto-review-loop "scope" |
paper + results | improved paper | Iterative improvement |
| W3: Paper Writing | /paper-writing "NARRATIVE_REPORT.md" |
narrative report | paper/main.pdf | Ready to write |
| W4: Rebuttal | /rebuttal "paper/ + reviews" |
paper + reviews | PASTE_READY.txt | Reviews received |
Standalone Skills
| Skill | Invoke | What it does |
|---|---|---|
/research-lit "topic" |
Literature survey | Finds papers, builds landscape |
/idea-creator "direction" |
Idea generation | Brainstorms and ranks ideas |
/novelty-check "idea" |
Novelty verification | Checks against existing work |
/research-review "draft" |
External review | GPT-5.4 xhigh deep critique |
/experiment-audit |
Integrity check | Cross-model audit of eval code |
/result-to-claim |
Verdict judgment | Codex judges if claims are supported |
/paper-plan "topic" |
Outline creation | Structured outline + claims matrix |
/paper-figure "plan" |
Figure generation | Plots from experiment data |
/paper-write "plan" |
LaTeX drafting | Section-by-section with citation check |
/paper-compile "paper/" |
PDF compilation | Multi-pass with auto-repair |
/research-wiki init |
Knowledge base | Persistent project memory |
/meta-optimize |
Self-improvement | Analyze usage, propose skill edits |
| `/a |
Related Skills
Agency Agents
A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy inject
AI Firecrawl
🔥 The API to search, scrape, and interact with the web for AI
AI Artifacts Builder
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web tech
AI CrewAI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewA
AI TrendRadar
⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载,你的
AI mem0
| Universal memory layer for AI Agents | 51341 | 221 | 1 |
AI