Skill: Paper Search Pro
by Bo
Multi-source academic literature search as an agent skill — OpenAlex, Semantic Scholar, CrossRef, PubMed and arXiv at four depths, from a 5-minute scan to a PRISMA-S logged systematic review.
A decision board for contested calls: feed your agent papers and half-formed ideas, and it files them into a traceable sources → ideas → output structure you can defend, with a visual canvas over the markdown.
Design Harness is an Agent Skill for decisions that have to stand on evidence — vendor and tool selection, literature reviews, due diligence, competitive analysis, any architecture call someone will later ask you to justify.
The division of labour is explicit: the human adjudicates, the agent runs the errands. You feed it sources and rough ideas as you go; it files them, links them, and keeps the provenance intact. It does not decide for you.
The board has three layers — sources, ideas, output — and markdown is the single source of truth. The canvas HTML, every layer index and the location registry are projections that can be rebuilt from the markdown at any time. That ordering matters: the record survives the tool. You can read it in a text editor, diff it in git, and hand it to someone who has never heard of this skill.
Syncing happens on your command, not continuously, so the board never reorganises itself underneath you mid-thought. When you want to look at the shape of the argument rather than read it, a build script projects the whole thing onto a visual canvas.
It activates on phrases like "file these papers", "put this on the board", "assemble the design", or "how do we decide this" — and on any request to link sources into a defensible system design.
As a Claude Code or Codex plugin:
/plugin marketplace add tigerless-labs/design-harness
/plugin install design-harness@design-harnessFor any other SKILL.md-compatible agent, copy plugins/design-harness/skills/design-harness into your agent's skills directory. Canvas building needs Python 3. MIT licensed, currently at v0.10.0.
Best suited to researchers, architects and anyone who has been asked "why did we pick this?" six months after the fact and had nothing but a chat log to point at.
Once installed, ask your agent something like:
File these six papers on vector index tradeoffs, then assemble the design for how we should shard the index.
The instructions your agent loads, as published by tigerless-labs.
by Bo
Multi-source academic literature search as an agent skill — OpenAlex, Semantic Scholar, CrossRef, PubMed and arXiv at four depths, from a 5-minute scan to a PRISMA-S logged systematic review.
by Cheng-I Wu
A four-skill bundle that runs the academic pipeline end to end — deep research, paper writing, peer review and revision — as multi-agent workflows inside Claude Code.
Find where a photo was taken: EXIF, OCR, OpenStreetMap, skyline and satellite matching, with coordinates, error radius and evidence images.
Tencent's skill-evolution harness: it rewrites a whole skill folder — SKILL.md, scripts and references together — and lands every decision as a real Git issue, PR and wiki entry you can review.