The BootLoops research skills: heavier machinery for specific tasks — proving with agents (adversary-first pipelines), pre-circulation referee audit, the literature review behind a novelty claim, bibliography verification, and the scientific-prose linter.
Plugin bootloops-research from marketplace bootloops in BootLoops-ai/skills. Commands read from the repo's manifest — 1 month ago.
lit-reviewDeep literature review behind a research project's novelty claims — a protocol whose one job is to prevent shortcuts. It demands the papers be actually read (nothing from memory), makes thoroughness falsifiable (read ledgers, search receipts, gap statements), tracks citation chains in both direction
prose-lintuse before circulating any scientific text, human- or LLM-drafted — a clarity and integrity linter: hype vocabulary, empty sentence structures, agentless prose, number discipline, and honesty failures; one pass is never enough.
prove-protocolMulti-agent protocol for proving or refuting mathematical statements. Use when trying to prove a mathematical statement with agents, when a claimed lemma keeps dying under scrutiny, or when the true statement itself is still unknown (theory-finding regime).
ref-checkCareful bibliography verification and entry-addition for papers — verify every author, title, journal, volume, pages, year, arXiv ID, and DOI against authoritative online sources (INSPIRE, arXiv, CrossRef/DOI, zbMATH, publisher) before anything enters or stays in a .bib file. Use whenever adding bib
referee-simUse before circulating any outward-facing scientific document — simulate the strongest standard objection from every audience it claims and verify the document answers each where that reader would look.
The BootLoops protocol layer: seven disciplines for trustworthy quantitative work with agents — acceptance gates, integer-relation discipline, synthetic-truth controls, provenance bookkeeping, timing discipline, sources-only reading, tool stewardship.
7 skills
Talk like caveman. Cut filler. Keep technical details explicit.
22 skills · 1 command · 3 agents · hooks
Persistent memory for Claude Code: the next session starts where the last one left off.
29 skills · 1 MCP server · hooks
tasteskill 2.5.1: professional company websites at the figma.com and x.ai level, with one section per screen, real photographs, real product UI, effects kept for tech and gaming pages, and a real-browser checker and finish gate.
1 skill
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
Cross-session memory and token savings for coding agents.
6 skills · 1 agent · 1 MCP server · hooks
Package any website or local web build into a lightweight desktop app with Pake CLI.
1 skill
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