claude

crucible

Self-evolving research methodology: 18 universal principles for LLM-driven investigation, distilled from a 376-turn session with 1 positive + 17 null campaigns. Covers epistemic foundations (causality, nulls, record-keeping), investigation patterns (multi-lens agents, adversarial gates, per-trade enrichment), decision layer (constraint-pivot, supersede-not-rewrite), and emergent resurrection (failure archive with resurrect_if conditions).

2 on GitHubby terrylicav34.14.0MITupdated todayai
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Plugin crucible from marketplace cc-skills in terrylica/cc-skills. Commands read from the repo's manifest — today.

What it installs

Skills (5)

  • crucible-navigator

    starting a new research campaign, entering a new Claude Code session on a research repo, or when unsure which methodology.

  • crucible-research-foundations

    Validate findings, design shuffled nulls, check label leakage, review causal features. TRIGGERS - shuffled null, label leakage

  • crucible-investigation-methodology

    actively investigating a hypothesis — running a sweep, dispatching multi-agent analysis, designing serial adversarial gates,

  • crucible-meta-governance

    deciding whether to pivot or persist, whether to ship or hold, whether to scope-narrow a partial pass, how to manage.

  • crucible-emergent-resurrection

    Use when a hypothesis has failed and needs archiving with resurrection conditions, when reviewing dormant ideas for revival, or when a killed strategy resembles the current one.

View source on GitHub

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