claude

research

Working discipline for research: decide whether an idea is worth pursuing and pre-register predictions, check whether an iterative loop is converging, run hard problems through five gates, put decisions on a page to tick, and use Mathematica for exact and high-precision work

84 on GitHubby Jonathan Shockv0.1.0MITupdated 9 days ago
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Plugin research from marketplace co-scientist-toolkit in shocklab/co-scientist-toolkit. Commands read from the repo's manifest — 8 days ago.

What it installs

Skills (5)

  • convergence-check

    Diagnose whether an iterative research or writing loop is genuinely converging or spinning in place. Use this skill when you have iterated several times (on a paper, an experiment, an abstract, a proof, a model) and want an honest read on whether to keep going, stop, or change the question. Triggers

  • decision-page

    Put three or more decisions to the user on a private web page (a Claude Artifact) where each decision is a card with Claude's recommendation, the detail to answer from, a tick to accept, the alternatives and a comment box; the user's ticks and comments save to the page, and Claude reads them back in

  • fable-mode

    Run any model with Fable-class working discipline. Five gates: scope, evidence, attack, verify, report. Use when the user says 'fable mode', 'use fable mode', or 'think like Fable'; when a hard, high-stakes, or ambiguous problem deserves maximum rigour; or when a smaller model (Opus, Sonnet, Haiku)

  • mathematica

    Run Mathematica (wolframscript) for symbolic and high-precision work, decide when it beats Python, and write .nb notebooks programmatically. Use this skill whenever a task needs exact symbolic computation (series, closed-form integrals or ODE solutions, special functions, exact rational or polynomia

  • pre-register

    Idea triage and pre-registration gate for research. Use this skill BEFORE investing time or compute in a research idea, experiment, or project direction, to decide honestly whether it is worth doing and to commit to predictions before piloting. Triggers include: 'is this idea worth doing', 'should I

View source on GitHub

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