WenyuChiou/ai-research-skills

> The catalog, installation, and visual layer for a Vertical AI Research Reference Harness.
> Move from research orientation to release through 17 portable skills,
> an eight-stage lifecycle, evidence-aware handoffs, and explicit human gates.
Built for graduate students, PhDs, postdocs, research support staff, and
agent/harness builders who need inspectable research workflows rather than a black box.
The portable skills live in this repository; research-hub supplies the executable
runtime, while the optional agent-collab-harness adds policy/checkpoint governance.
Languages: English | 繁中 ·
Pipeline ·
Examples ·
Runtime contract ·
Glossary ·
For Agent/Harness Builders
> 📚 Part of the agentic AI learning roadmap
> — featured in §13–14 (research workflows).
## Start here — Why, what, and how
### See the whole research lifecycle first
The 17-skill core is organized around durable handoffs: each stage produces the next stage's input, while cross-cutting tools preserve context, verification, and delegation boundaries.
| Your first question | Short answer | Go deeper |
| Why use these skills? | Keep research context durable, verify evidence before claims move downstream, and pause automation at meaningful human decisions. | Problems this catalog solves |
| What is included? | 17 portable skills, 8 lifecycle stages, 5 installable plugins, an executable research runtime, and an optional policy/checkpoint harness. | Skill outputs |
| How do I use it? | Install the 12-skill research workspace, then ask for a concrete research outcome in natural language. Add writing, Zotero, or delegation plugins only when needed. | 30-second install · Usage patterns |
| 17 core skills | 8 research stages | 5 optional-by-need plugins | 3 truth-store integrations |
| Portable SKILL.md contracts | Orientation → release | Start with 1; grow to 5 | Zotero · Obsidian · NotebookLM |
### Try the smallest useful path
bash
claude plugin marketplace add WenyuChiou/ai-research-skills
claude plugin install research-workspace@ai-research-skills
Then ask, for example:
> Build a literature triage matrix for human-in-the-loop research agents. Verify identifiers, preserve contradictions, and show me the evidence gaps before recommending next steps.
Need an executable, resumable workflow instead of prompt-only skills? Continue
with pip install research-hub-pipeline, then run research-hub setup and
research-hub doctor. The full path is in Install.
### Understand the two control layers
#### Harness architecture — deterministic control around semantic work
research-hub owns the research-domain runtime and recoverable state. Role agents do semantic work; deterministic validators, evidence contracts, and the optional agent-collab-harness policy/checkpoint layer control what may proceed.
#### Human-in-the-loop — where automation must pause
Read-only and reversible steps can continue automatically. Breaking contracts, skill removal, external writes, semantic acceptance, and release authorization remain explicit human decisions.
| If you are… | Best next page |
| A researcher or research team | Follow the eight-stage pipeline after the quick install above. |